Value Relevance of Operating Income Self-Reported by Managers under IFRS in Korea Soo Young Kwon* Korea University Jinsuk Heo Korea University Yusun Hwang Korea University *Corresponding author sykwon@korea.ac.kr February 2014 Value Relevance of Operating Income Self-Reported by Managers under IFRS in Korea Abstract This study examines whether the operating income self-reported by managers (adjusted operating income) in the adoption IFRS in 2011 is more value relevant than the operating income prepared under Korean GAAP. We also test whether adjusted operating income has the explanatory power greater than K-GAAP operating income. We document that adjusted operating income has incremental and relative information content over K-GAAP operating income. In addition, it appears that the market differentially reacts to the adjusted items depending on how they are related to operating activities. In 2012, when firms were required to present K-GAAP operating income in the income statement and permitted to disclose adjusted operating income on the footnote, the frequency of adjusted operating income disclosures sharply dropped and the adjusted operating income lost value relevance and explanatory power. Our evidence is important because it indicates that operating income reported by managers contain value relevant information beyond that provided by operating income prepared under K-GAAP obtained by sophisticated users from firms’ financial statements. 2 1. INTRODUCTION This paper examines the value relevance of operating income reported by managers in Korea. Firms were allowed to determine by themselves whether to present operating income and, if so, how to derive operating income in the full adoption of International Financial Reporting Standards (IFRS) in 2011. This is different from Korean GAAP (K-GAAP) which requires firms to present operating income in the income statement and lists up which items to be included to obtain operating income. No disclosure requirement of operating income and no guidelines in deriving operating income measures has generated considerable debate. A majority of market participants expressed their concern that operating income was not required to present in the income statement under IFRS (Lee et al., 2012). Critics argue that companies have considerable latitude in how to calculate operating income, as there is no authoritative guidance, even if they voluntarily disclose operating income. The concern is that self-serving managers have the discretion to exercise in choosing items to be excluded or included in the operating earnings they report (Turner, 2000). Critics voice that the operating income adjusted by managers may be neither consistent to the operating income under KGAAP nor comparable across firms (Kim and Cheon, 2012). Thus, lack of exact definition of operating income may mislead investors. On the other hand, advocates argue that no presentation requirement of operating income and allowance of discretion to managers in deriving operating income measures can reduce information asymmetry and help investors better understand a firm’s operating results. This is because managers can exploit firms-specific knowledge in determining which items to be included or excluded to derive operating income. In fact, the rationale of IASB is that the nature of ‘operating’ varies across firms and industries so that it is not meaningful to uniformly define operating income and to require operating income to be disclosed (Staff draft jointly prepared by the IASB and the FASB, 2010).1 One alleged benefit of detailed 1 This staff draft was prepared by the staff of the IASB and the FASB for the boards' joint project to develop a standard on financial statement presentation. The draft takes the management approach, reflecting the tentative decisions made by the boards concluding with their joint meeting in April 2010. However, work on the project was suspended with no definite future schedule and is expected to be delayed due to other urgent agendas. 1 implementation guidance is increased comparability by reducing the effects of differences in professional judgment. But to the extent that the guidance is inappropriately strict, the result will be surface comparability¸ and dissimilar arrangements will be forced into the same accounting treatment (Schipper 2003, p.7). In response to the general concern by market participants, the Korea Accounting Standard Board (KASB)2 revised K-IFRS 10013, titled ‘Presentation of financial statements,’ on November 2009, requiring firms to disclose operating income in the comprehensive income statement and primary items and amounts to derive operating income on the footnote if operating income derived differs from operating income under K-GAAP. In spite of the requirement of disclosing operating income, some critics pointed out that no detail of how to calculate operating income allows managers to have so much discretion. The newspaper article released (Korea Economic Daily Newspaper, March 28, 2012) alleged that financially distressed KOSDAQ firms shifted non-operating revenues above the operating income line and non-operating expenses below the operating income line in order to avoid being classified as supervised shares. This article triggered the criticisms from various parities including regulators, analysts and investor groups. In response to these criticisms, Korea Accounting Standards Board (KASB) revised the K-IFRS again in October 2012 by requiring firms to calculate operating income based on K-GAAP and present it in the comprehensive income statement rather than disclose on the footnotes. KASB allowed firms to disclose adjusted operating income on the footnote if they have operating-related items excluded from K-GAAP in deriving operating income. 2 The Korea Accounting Institute (KAI) was established as an independent private organization on 1 September 1999, with the mission to set accounting standards that ensure consistency and objectivity for external audits of corporations. Since July 2000, KAI has carried out the duty of setting and interpreting the accounting standards as well as providing technical inquiry service in accordance with the Act on External Audit of Corporations. Analogous to the standard-setters such as FASB and IASB, the Korea Accounting Standards Board (KASB) which consists of representatives from users, preparers, auditors, and academics was also established under KAI for the purpose of deliberation and decision making regarding accounting standards and related matters. K-IFRS 1001 is the standard corresponding to IAS 1 (Presentation of financial statements). The prefix ‘K-’ is added to IFRS to maintain the consistency with the structure of legal system in Korea. The KASB modified the form of the standard to a limited extent, but the content of the standard did not change. The KASB included additional paragraphs such as K-IFRS 2.1, 139.1, 139.2 to specify which firms and when were required to adopt IFRS and 138.2~4 to ensure that firms disclose operating income in the comprehensive income statement. 3 2 KASB’s revision on the presentation of operating income in the comprehensive income and voluntary disclosure of adjusted operating income on the footnote is based on the assumption that operating income calculated under K-GAAP (hereafter K-GAAP operating income) provides more useful information to financial statement users than operating income self-reported by managers (hereafter adjusted operating income). To assess this presumption, we employ the Ohlson model to examine the value relevance of two operating income measures- K-GAAP operating income and adjusted operating income. We examine whether adjusted operating income has incremental information content over and above K-GAAP operating income by testing the significance of coefficient on the difference between two operating measures. We also investigate whether adjusted operating income has greater information content than K-GAAP operating income by testing the significant difference in explanatory power between two operating measures. We show that the adjusted component of operating income by managers under IFRS in 2011 is value relevant, providing the incremental information content over and above KGAAP operating income. In addition, the explanatory power of adjusted operating income is greater than that of K-GAAP operating income, implying that the relative information content of adjusted operating income is greater than that of K-GAAP operating income. In addition, the items adjusted due to gains and losses from disposals or valuations except gains and losses from exchange translation did not have value relevance. In contrast, gains and losses which appear to recur during the normal course of operations improved value relevance of earnings. It appears that the market differentially reacts to the adjusted items depending on how they are related to operating activities. In 2012, firms were required to present K-GAAP operating income in the comprehensive income statement and were allowed to disclose the adjusted operating income on the footnote. Consistent with the prediction, only 330 companies (24%) voluntarily disclosed adjusted operating income on the footnote to the financial statements. In addition, adjusted operating income disclosed on the footnote had neither value relevance nor explanatory power greater 3 than K-GAAP operating income presented in the income statement. It seems that the incremental and relative information content of operating income is determined by whether it is presented in the income statement or disclosed on the footnote. We also conduct additional analyses to examine whether value relevance of operating income in 2011 varies with firm characteristics such as ROA, firm size, listing in Korea Stock Exchange (KSE), and the magnitude of discretionary accruals. The results show that the adjusted component of operating income remains value relevant regardless of whether firms are unprofitable, small, listed on KOSDAQ or have large amounts of discretionary accruals. Contrary to the concern by the investment community, the adjustments made by managers in determining which items to be included and excluded from calculation of operating income were not driven by the motivation that poorly performing, small, and/or relatively unregulated firms with large amounts of discretionary accruals would inflate their operating income to draw a better picture of their performance. No incremental value relevance of adjusted operating income for the group with extreme adjustments and change in operating income from negative to positive due to the adjustments indicate that the market see through managers’ opportunistic behavior only observed for the extreme outlier groups. This paper attempts to make five contributions to the literature. First, this study adds to the value relevance literature of earnings prepared under local GAAP vs. IFRS. It provides the empirical evidence that managers provide the more value-relevant operating income than K-GAAP operating income by exercising their discretions and making adjustments which outside investors may not be able to figure out. Second, this study sheds light on the value relevance literature of non-GAAP earnings. The setting of this study is unique in that we examine value relevance of GAAP earnings under IFRS which were previously non-GAAP earnings before Korea fully adopted IFRS in 2011. In prior studies, non-GAAP earnings are voluntarily disclosed in nature on the footnotes to the financial statements. In contrast, in this setting, previously non-GAAP earnings became GAAP earnings presented in the income statement. 4 Third, this paper allows us to assess the benefit of the principles-based approach4 over the rules-based approach in presentation of operating income. It identifies a case where a set of key objectives and guidelines rather than detailed rules for financial reporting purposes may be still effective in a variety of situations/industries. Principle-based IFRS takes the management approach that investors view through the eyes of managers for financial reporting purpose by allowing managers to determine how to calculate operating income. The question is whether the management approach with no guidance on operating income enables managers to reflect firm-specific knowledge in determining operating income, eventually improving value relevance of earnings. Fourth, this study provides another dimension in the classification shifting5 literature where the downward (upward) movement of non-operating revenues (operating expenses) does not change bottom-line earnings, but overstates operating income. This paper examines value relevance of operating income when classification shifting is officially accepted under IFRS whereas prior studies examined when classification shifting is viewed as discretionary and potentially misleading. Fifth, this study provides policy implications to regulators. Regulators and standardsetters initially allowed managers to present operating income in the income statement based on their judgment with no guidance. But, they eliminated the option by requiring managers to comply with K-GAAP guidelines to calculate operating income due to the news media article along with financial statement users’ criticism. The results of this study that adjusted operating income improved both incremental and relative value relevance of operating income suggests that market participants lost the opportunity to share firm-specific inside information possessed by managers that could have been revealed via operating income disclosures in the income statement. 4 In principles-based accounting, the guidelines are set but not necessarily dictated for every situation, thus calls for professional judgment and detailed knowledge by preparers, auditors and financial statement users. The major benefit of principles-based accounting is that the guidelines can be applied in a variety of situations/ industries. 5 The research in the classification shifting literature lends credence to the idea that the placement and presentation of expenses within the income statement is a valid earnings management tool for managers. 5 The remainder of this paper is organized as follows. We discuss prior literature and develop our hypotheses in section 2. We present our research design, including the sample characteristics, in section 3, and report empirical results in section 4. We conduct additional tests for sensitivity analyses in section 5, and offer some concluding remarks in section 6. 2. BACKGROUND 2.1 Operating Income Definition under IFRS IFRS defines operating activities as the principal revenue-producing activities of the entity and other activities that are not investing and financing activities (Paragraph 6, IAS 7 Statement of Cash Flows). However, it provides no definition of operating income anywhere and does not require firms to disclose operating income. On the other hand, SFAC No. 6 in the US defines operating income as revenues minus expenses from main-line of business, that is, all line items before interest revenue and interest expense. It is directly related to the primary revenue-generating activities of the company. It describes non-operating income as income and costs resulting from events or transactions that are related to peripheral or incidental activities and are not expected to occur frequently or regularly (e.g., asset expropriation, or earthquakes and other natural catastrophes). The controversy over operating income is how to view certain activities as ‘principal’ or ‘primary’ activities. The most commonly used approach consists of excluding unusual items, as this is understood under IAS 8, from recurrent profit. While in theory this reflects operating performances that are more standard and useful for the analyst, non-operating income in practice is often denatured by the inclusion of recurrent items. Similarly, net financial income sometimes contains items that should more accurately be written down under operations. Under SFAC No.6, operating income is the subtraction of cost of goods sold, selling and general administrative expenses, R&D expense from sales with some items adjusted such as restructuring costs, asset impairment costs, and in-process R&D. These items appear to be non-operating, but were classified as operating from annual 6 reports recently published by European groups. For example, the yearly disposal of a comparable amount of assets makes the management of a company's assets an extension of its business and it is no longer to be considered unusual. The results of these disposals, recurrent capital gains and losses, should thus show up under net operating income. The impact of currencies on normal operations is the impact of fluctuating exchange rates on the value of operating assets and liabilities resulting from the company's transactions. This occurs when currencies have not been hedged or have been imperfectly hedged. As the impact is directly linked to the company's daily operations, it should be reflected under its operating performance. Another example is restructuring costs which occur every year. While these can be considered unusual at the level of a smaller company or division, they are not unusual for major groups, which, given the diversity of their businesses, restructure somewhere or another every year, in which case firms can book them under operations. Thus, whether particular items are related to activities in the course of ordinary business or outside of the core operating activities varies by firms and/or transactions. The spirit of principle-based IFRS is that firms are in the best position in determining whether particular revenues and expenses are classified as core business operations, and therefore it would be more informative to allow firms to derive operating income after consideration of their firmspecific operating circumstances. On the other hand, managers may exercise their discretion to manage operating income and the incentive may be stronger when they poorly perform. They may shift non-core gains into (or core losses out of) its operating income reporting, in order to show better than actual core business performance. 2.2 Disclosure Requirements of Operating Income under IFRS Korea was classified as a code-law country since firms are used to comply with details of guidelines and rules specified in the accounting standards. In March 2007, Korea announced its roadmap in order to fully adopt International Financial Reporting Standards (IFRS). Accordingly, starting 2011 fiscal year, all companies publicly traded on Korean Stock Exchange (KSE) and KOSDAQ were required to prepare for financial statements in 7 accordance with IFRS. Different from the rule-based K-GAAP which specified accounting treatments and procedures for individual issues, principle-based IFRS provide fundamental principles and guidelines in order for accountants to reasonably apply accounting treatment for transactions based on economic substance and allow them to exercise their autonomous judgments. This principles-based IFRS specify minimum accounts that should be presented in the financial statements, but do not proscribe the format of financial statements in detail. KIFRS does not even require firms to report operating income separately from non-operating income. Accordingly, after the adoption of IFRS, presentation of financial statements and display hierarchy of accounts vary from firm to firm. In particular, firms had a lot of discretion to change the items to be included to calculate operating income and non-operating income. On the other hand, K-GAAP provides specific rules to obtain operating income in the income statement, that is, to subtract cost of goods sold (CGS) and selling and administrative (S&A) expenses from sales revenue. It also specifies which components should be included as revenues, CGS and S&A expenses. Thus, all companies had the same components of operating income so that there was no concern about comparability and usefulness of operating income. Thus, there was concern about the discretion that managers may exercise in choosing items to be excluded or included in the operating income under IFRS since operating income has increased in importance in recent years with its important role in valuation. Moreover too much diversity in presentation may also create a perception of differences where they do not actually exist, and contribute to inefficient pricing of equity by the capital markets. To resolve these issues, the KASB added the requirement that firms should present operating income calculated based on their judgments which they view best way to reflect operating activities (i.e., adjusted operating income), and disclose any major items and amounts on the footnotes to the financial statements if adjusted operating income differs from operating income under K-GAAP. This additional requirement under K-IFRS requires operating income to be disclosed, but still does not provide detailed guidelines on how 8 operating income are calculated and which components should be included or not. Thus, all the companies calculated operating income based on judgments by managers and corporate accountants. Since individual items may or may occur from operating activities, operating income which firms calculated in their own ways may better reflect firm-specific operating performance. However, as a result, composition of items included to calculate operating income varies across firms, impairing comparability of earnings. Furthermore, a newspaper article6 printed alleged that financially distressed KOSDAQ firms’ incentives to manage operating income numbers by shifting non-operating revenues above the operating income line and nonoperating expenses below the operating income line in order to avoid being classified as supervised shares, questioning the usefulness of operating income. This article triggered the criticisms from various parities including regulators, analysts and investor groups. In response to these criticisms, KASB revised the K-IFRS again in October 2012 by requiring firms to calculate operating income based on K-GAAP and present it in the comprehensive income statement rather than disclose on the footnotes. 2.3 Literature Review The study on the disclosure and presentation of operating income under IFRS is intertwined with three lines of research such as classification shifting, usefulness of IFRS earnings, and usefulness of non-GAAP earnings. We briefly discuss each line of research with discussion on how we extend our study based on the results of prior research. 2.3.1 Classification Shifting One area of research related to our study is classification shifting which deals with the potential misclassification of items within the income statement as one potential earnings management tool. Classification shifting does not change net income and bears a relatively low cost: there is no accrual that later reverses, nor are there lost revenues from forgone Korea Economic Daily Newspaper, ‘Include income-increasing items in calculation of operating income to make it a positive profit,’ March 28, 2012. 6 9 opportunities. However, it matters to the extent that investors appear to recognize this distinction and weigh individual line items within the income statement differently (Lipe 1986; Elliott and Hanna 1996; Francis et al. 1996; Davis 2002; Bradshaw and Sloan 2002). In general, the closer a line item is to sales, the more permanent this item tends to be (Lipe 1986; Fairfield et al. 1996). Thus, it is critical to group items with similar characteristics to facilitate financial statement analysis (FASB Accounting Concept No. 5). Prior research supports the viability of classification shifting in presenting the income statement in order to influence perceptions of performance without actually misclassifying expenses. That is, managers use their subjectivity over the classification of borderline expenses to present smoother ordinary earnings (Barnea et al., 1976); they tend to break out income-decreasing special items on the face of the income statement, wishing to highlight the transitory nature of expenses (Kinney and Trezevant, 1997; Weiss 2001). McVay (2006) documents that managers are likely to shift special items in order to increase unexpected core earnings when performance is unexpectedly low. Furthermore, she finds this shifting to be more pervasive when it allows the manager to meet the analyst forecast, as special items tend to be excluded from this earnings benchmark. All these studies assume that managers exercise classification shifting to make draw a better picture of operating performance rather than reveal the true economic performance. Furthermore, they examine in the setting where classification shifting is secretly performed given that asymmetry exists between managers and investors. In contrast, this study deals with the setting where IFRS encouraged managers to reflect their firm-specific information in determining operating income. Thus, given this new disclosure environment, it is an empirical question whether managers may be more likely to reveal a clearer picture of operating performance rather than mislead information for investors. 2.3.2 Value Relevance of IFRS-based Earnings The controversy over whether to disclose operating income, and if so, how to 10 determine and present operating income is an issue of the usefulness of operating income under two different accounting systems- domestic GAAP vs. IFRS. We can assess the usefulness of operating income by examining whether operating income reported by managers contain value relevant information beyond that provided by KGAAP operating earnings obtained from the guidelines specified in the accounting standard. Several findings (some conflicting) have emerged in the value relevance studies of IFRS-based earnings compared to domestic earnings. Domestic earnings in Finland have significant value relevance to investors, while IFRS earnings do not (Niskanen et al., 2000); differences between US GAAP and IFRS produce no significant difference in information quality between the two systems (Leuz, 2003); US GAAP earnings are more efficient in predicting future firm performance than IFRS earnings (Meulen et al., 2007); and domestic earnings, in contrast to IFRS, are more value-relevant in the Chinese stock market. In contrast, there are studies in favor of the usefulness of IFRS-based earnings. Differences between Spanish GAAP and IFRS were found to be significant for Spanish firms (Callao et al., 2007); the value relevance of US GAAP- and IFRS-based earnings is higher than that of German GAAP-based earnings (Bartov et al., 2005); significant negative abnormal returns are observed for UK firms reporting negative earnings reconciliation (Horton and Serafein, 2010); and the information content of earnings is greater in countries that were required to adopt IFRS relative to countries that use their own domestic accounting standards (Landsman, Maydew and Thornock, 2012). Overall, the relative information properties contained in IFRS earnings disclosure from a price-based perspective remains unresolved. It may be too early to evaluate the effect of IFRS on earnings quality or value relevance. It appears that it is not easy to detect discernible gain in terms of the usefulness of financial reporting in the short-term, improved usefulness may be achieved in the medium to long-term. This study is different from prior 11 value relevance studies of IFRS-based earnings compared to domestic earnings since we focus on IFRS-based operating income, not net income, the bottom-line number. To our knowledge, there are no studies on the value relevance of operating income except Brown and Sivakumar (2003). They examine that operating earnings reported by managers and analysts, street earnings measured by Thompson Financial I/B/E/S data, are more value relevant than a measure of earnings derived from firms’ financial statements, measured by Standard & Poor’s data. They document the evidence that operating earnings reported by managers and analysts contain value relevant information beyond that provided by operating earnings obtained from financial statements. This result illustrates that managers with informational advantage may be in a better position to provide more value-relevant information of operating income. In this study, we extend their study by examining the value relevance of operating income reported by managers and presented in the comprehensive income statement. 2.3.3 Value Relevance of Non-GAAP Earnings This study is also related to the value relevance research of non-GAAP earnings since operating income reported by managers were previously non-GAAP earnings. There are two different perspectives with conflicting results. Critics contend that companies have considerable large latitude in how to calculate nonGAAP earnings. Companies use non-GAAP earnings primarily to focus investor attention on earnings numbers that exclude relevant expenses (Burns 2001a; Henry 2001); the non-GAAP reporting in the firm’s current period is not comparable and consistent to its non-GAAP reporting in prior years (Jaffe, 2002); and some firms use non-GAAP reporting to obscure the negative earnings surprise (Sender, 2002). In addition, non-GAAP earnings figure was disclosed in Enron (Lougee and Marquardt, 2004); and firms tend to emphasize on nonGAAP reporting when having GAAP losses (Bowen et al., 2004). On the other hand, advocates argue that the use of non-GAAP earnings reporting reduce 12 information asymmetry and help investors better understand a firm’s financial results, because the non-GAAP disclosures remove the effects of non-recurring items. Reported nonGAAP earnings are more informative than GAAP earnings (Bhattacharya et al., 2003); and analyst tracking services from other empirical studies also find the non-GAAP earnings measures are more closely associated with the stock price and more predictive of future earnings (Bradshaw and Sloan 2002; Brown and Sivakumar 2003). In addition, non-GAAP disclosures providing investors with a higher quality measure of the firm’s performance than just presenting GAAP earnings (Entwistle et al., 2010). Evidence from prior studies in the consequence of non-GAAP reporting is mixed. We expect that the usefulness of operating income reported by managers under IFRS may exhibit two conflicting predictions. However, our setting has a stronger power of test if there is any positive effect of non-GAAP earnings. This is because operating income reported are GAAP earning required by the standard which was previously non-GAAP earnings while nonGAAP reporting in prior studies is a form of voluntary disclosure over the regulated disclosures. 2.4 Hypotheses Development 2.4.1 Incremental and Relative Value Relevance of Operating Income Reported by Managers in the Income Statement Previously, firms were required to calculate operating income by subtracting cost of goods sold and selling and administrative expense from revenues under K-GAAP. Under IFRS, managers were allowed to determine which items to be included and excluded to calculate operating income. Thus, those who wish to maximize reported performance might shift non-operating revenues up (or expenses down) the income statement to present a picture that is not consistent with economic reality. Thus, critics argue that financial information can be inconsistent from one company to the next in the same industry damaging the ability for comparability since managers may opportunistically shift items from non-operating revenues 13 to operating items. Analysts caution investors to the potential dangers of self-reported operating income by managers under IFRS. Given that operating income is extensively used among investment communities, this can mislead investors about the performance and proper valuation of a company. Even in the absence of classification shifting, principles-based standards could lead to situations in which professional judgments, made in good faith, result in different interpretations for similar transactions and events, raising concerns about comparability. On the other hand, the principles-based perspective is to enable managers to exploit firms-specific knowledge in determining which items to be included or excluded to derive operating income. There are no same treatments about gains and losses from foreign currency translation across firms. GS Construction Co. included these gains and losses as part of operating income. On the other hand, Samsung Trading Co. classified them as two types- operating activities and financing activities. The company included gains and losses from foreign currency translation only if they occurred from operating activities. (Maekyung Economic Daily Newspaper, May 4, 2011) This gives managers the freedom to adapt accounting principles to their particular situation so that reported operating income based on their judgment may better reflect firm-specific operating performance. Managers are in a better position to know which items are operational in nature, which benefit investors. Operating income disclosure by managers would provide additional useful information to investors. In the nonGAAP disclosure literature, non-GAAP reporting is viewed as helping investors better understand a firm’s financial position, because companies may exclude certain expense items that management believes are insignificant to their current operations (Bhattacharya et al.2003; Johnson et al. 2005; Lougee and Marquardt 2004). This study is more likely to find the positive effect of self-reported operating income, if any, because managers’ reporting in our setting is presented in the income statement compared to non-GAAP reporting disclosed on the footnote. Together, it is an empirical question of whether operating income self-reported by 14 managers may be more value relevant than those calculated under K-GAAP. No evidence yet exists regarding the comparative value relevance of operating earnings provided by managers with K-GAAP operating income. We provide the empirical evidence in this paper. Given two conflicting views on the usefulness of adjusted operating income over K-GAAP operating income, we state the test hypothesis in the null form: H1: Adjusted operating income reported by managers and presented in the income statement in 2011 has no incremental information content over and above KGAAP operating income. H2: Adjusted operating income reported by managers and presented in the income statement in 2011 does not have greater information content than K-GAAP operating income. The first hypothesis tests the incremental information content of adjusted operating income over and above K-GAAP operating income. The second hypothesis examines the relative information content of adjusted operating income to that of K-GAAP operating income. Firms were required to disclose which items were included or excluded to derive operating income on the footnote if adjusted operating income differs from K-GAAP operating income. Thus, we extend our hypotheses to individual adjusted items to examine whether these items are incremental value relevance. As discussed in section 2.2, in 2012, the KASB decided to require firms to present KGAAP operating income in the income statement and allowed them to voluntarily disclose adjusted operating income on the footnote if they view K-GAAP operating income as a noisy indicator of operating performance. This provides a setting where firms have an option to disclose adjusted operating income previously presented in the income statement in 2011 on the footnote to the financial statements in 2012. The change in disclosure requirement of operating incomes would affect managers’ disclosure incentives in the following two ways. First, managers have fewer incentives to disclose adjusted operating income to the extent that the item disclosed on the footnote receives less attention from investors. Thus, managers are less likely to supplement adjusted operating income in 2012, reducing the amount of operating income information, so that investors lose the opportunity to see operating income 15 through the eyes of management. Second, there is a large body of research on the information content of footnote disclosure as investors weigh less. Taken together, the frequency of disclosures of adjusted operating income on the footnote would substantially decline, and adjusted operating income may lose incremental value relevance. H3: Adjusted operating income reported by managers disclosed on the footnote to the financial statements in 2012 has no incremental information content over and above K-GAAP operating income. H4: Adjusted operating income reported by managers disclosed on the footnote to the financial statements in 2012 does not have greater information content than K-GAAP operating income. III. MODEL SPECIFICATION AND SAMPLE 3.1 Measurement of Earnings Quality We compare the valuation consequences of our two operating income measures by using a book value and earnings regression (Collins et al., 1997) to determine which operating income coefficient has the higher multiplier (Collins et al., 1997) and which regression has the higher adjusted R-square (Biddle et al., 1997). We modify the standard valuation model, which uses ‘‘bottom line’’ earnings, because of our focus on operating income. We decompose net income into two components and estimate the following regression model: Pit 0 1BVi ,t 2OIit ADJ Pit 0 1BVi ,t 2OIit K GAAP 4 NOIit it 3 ADJit 4 NOIit it (1) (2) We omit the notations i and t for brevity. P is market value per share defined as the closing share price three months after the fiscal year end; BV is common equity per share at year end; OIK-GAAP equals operating income based on the detailed classification of K-GAAP divided by the number of shares outstanding; ADJ is the difference between operating income 16 reported by managers (OIADJ) and K-GAAP operating income (OIK-GAAP); and NOI is the nonoperating income per share number. We compare coefficient estimates on the ADJ variable and use a t-test to determine whether one operating income measure has a larger coefficient in the valuation equation. We also compare the R-square using OIADJ in equation (1) with the R-square alternatively replacing by OIK-GAAP, and consider the operating income measure with higher explanatory power to be the more value relevant one. We use a Vuong test to determine whether one valuation equation has a significantly larger adjusted-R-square. 3.2 Sample Selection We start with all firms listed on the Korean Stock Exchange (KSE) and Korea Securities Dealers Automated Quotations (KOSDAQ) from 2007 to 2012. The sample period consists of pre-IFRS era (2007~2010) and post-IFRS (2011~2012) era. We use the pre-period as a benchmark and primarily focus on the post-period. We identify those included in KIS value database 7 , a database developed by Korea Investors Service, Inc. (KIS). Firms providing financial services (commercial banking, investment brokerage, and insurance) are excluded from the sample. Thus, the sample includes publicly traded nonfinancial firms whose financial data were available. The non-December year-end firms were excluded because their audit hours and audit fees differ systematically from those of December year-end firms.8 We also excluded IFRS early-adopters, delisted firms, and firms which operate in industries with the number of firms less than 10. [Table 1 about here] 10 KIS is a professional credit rating agency in Korea. The KIS value database which includes financial statement information is provided by Korea Investors Service Inc., which is affiliated with Moody’s. 8 The non-December year-ends were composed primarily of companies in the financial and insurance industry, which were also excluded, and many were associated with overseas parents, which were commonly exempt from the requirement to rotate an audit firm appointed to the corporate group. 17 Table 1 presents the distribution of sample by year and industry. Panel A shows that the number of firms slightly increases over years except 2010. It also exhibits that the total number of observations for firms listed on KSE is 3,011, roughly two thirds of the number listed on KOSDAQ. Panel B shows that the industry with the largest observations is Manufacturing (71.42%) and the industry with the second largest is Telecommunication Information Service (10.43%). The industry clustering in Manufacturing is due to the broad categorization in manufacturing operations, which can be further classified into finer manufacturing industries. IV. EMPIRICAL RESULTS 4.1 Descriptive Statistics Table 2 exhibits the difference between adjusted operating income and K-GAAP oprating income in the post-IFRS period. In 2011, note that the frequency (percentage) of firms with adjusted operating income greater than K-GAAP operating income is 682 (53.20%), which is higher than 470 (36.66%), the frequency of firms with adjusted operating income less than K-GAAP operating income. On average, firms tend to report adjusted operating income greater than K-GAAP operating income, but about 37% of firms reported operating income which would have been larger if it is calculated based on K-GAAP. Given that adjusted operating income can be greater or less than K-GAAP measure by equal chance, it appears that only a subset of firms were motivated to boost operating income when they allowed to determine how to calculate operating income. In 2011, one hundred thirty firms (10.14%) reported no difference between adjusted operating income and K-GAAP operating income. But, the frequency skyrocketed in 2012 with 1,045 firms (76%). It seems that this phenomena is due to the change in the disclosure reuqirement from mandatorily presenting adjusted operating income in the income statement to voluntarily disclosing adjsted operating income on the footnote. It is interesting to observe the frequency of firms with adjusted operating income greater than K-GAAP is slightly lower 18 than that with adjusted operating income less than K-GAAP. It appears that presenting in the primary financial statements or reporting on the footnote make a difference in firms’ disclosure policy. [Table 2 about here] Table 3 exhibits the frequency, the average of adjusted amount, and the average of ratio of adjusted operating income to K-GAAP operating income of specific accounts which make a difference between adjusted operating income and K-GAAP operating income. There are 368 accounts which consist of the adjusted operating income different from K-GAAP operating income. It is hard to recognize whether each adjusted account is recurring or nonrecurring item just based on its title of account. We note that the accounts of cash flows from investing or financing activities are more likely to be non-recurring and are related to gains and losses from valuation and disposal of assets. So we categorize these accounts into two types- gains and losses from valuation and/or disposals of assets and those not related to valuation and disposals. The first category includes gains and losses from fair market value changes in tangible, intangible assets, and financial/derivative assets, from exchange rate changes in foreign currency-denominated assets. The second category is related to dividend revenues, donations, commissions, and other gains and losses. [Table 3 about here] The results show the frequencies of gains and losses from valuation of tangible and intangible assets, gains and losses from foreign currency transactions from the first category, and donation revenue and petty revenues and expenses from the second category. Note that the number of observations and the amount of adjustments substantially drop in 2012. The percentage of frequency exhibit similar patterns, but the percentage of adjustment amounts relative to K-GAAP operating income sharply declines in 2012. The ratio of adjusted amounts to K-GAAP operating income for the first category (i.e., gains and losses from 19 valuation and disposal of assets) is negative, on average. This is contrary to the general concern that managers might attempt to increase operating income by excluding operating expenses and including non-operating revenues in deriving operating income. In 2012, the average percentage of adjusted amounts is less than 10%, indicating that firms have less incentives to disclose adjusted operating income and less likely to make adjustments as disclosure of adjusted operating income changed from mandatory presentation in the income statement to voluntary presentation on the footnote to the financial statements. [Table 4 about here] Table 4 reports summary statistics for variables used in empirical analyses . In 2011, the mean and median values of OIADJ are 2,951 Korean Won (KRW) and 978 KRW, respectively, which are greater than those of OIK-GAAP 1,008 KRW and 363 KRW. Similar differences between OIADJ and OIK-GAAP are also observed in 2012. However, the ADJ, the difference between OIADJ and OIK-GAAP, has a negative mean, but a positive median. In addition, the standard deviation ADJ is 1,324, which indicates the large variation in the magnitude of adjusted operating income across firms. It appears that adjusted operating income is smaller than K-GAAP operating income, on average, but the positive small median implies that the positive mean was driven by a subset of firms. 4.2 Univariate Analyses Table 5 presents the correlation matrix among variables in the value relevance model. In 2011, the correlation coefficient of equity price with adjusted operating income (OIADJ) is 0.6527, which is smaller than 0.7552, that with K-GAAP operating income (OIK-GAAP). This is due to the fact that ADJ was not included from OIADJ. But, the correlation coefficient of equity price with the adjusted amount (ADJ) is positive and significant, suggesting that it has value relevance. In 2012, the correlation coefficient with OIK-GAAP and ADJ are significantly 20 low, indicating that both K-GAAP operating income and adjusted operating income disclosed on the footnote are less value relevant. [Table 5 about here] Table 6 presents univariate analyses of financial characteristics for firms with OIADJ different from OIK-GAAP and firms with OIADJ equal to OIK-GAAP. Firms with OIADJ different from OIK-GAAP tend to be larger than firms with OIADJ equal to OIK-GAAP. Other than this, the two groups are not different in terms of profitability, debt ratio, and cash-generating ability from operating activities. In 2012, there are no discernible differences between two groups. [Table 6 about here] 4.3 Results of Value Relevance of Adjusted Operating Income under IFRS Table 7 presents valuation results, showing regression slopes (betas) and adjusted Rsquares of the valuation equations. Panel A shows that the coefficient of operating income reported for the pre-IFRS period, 2011 and 2012 are all positive and significant. OIdisclosure stands for operating income disclosed in the income statement. Note that operating income was measured by adjusted operating income prepared by managers in 2011, while it was by K-GAAP in both pre-IFRS period and 2012. Cramer’s z statistics9 are close to 0, indicating that the explanatory power of operating income measures across sub-periods are not significantly different.10 Panel B exhibits the results of value relevance models with OIK-GAAP and ADJ by three sub-periods. The coefficient estimates for OIK-GAAP and ADJ are 4.764 and 4.742, respectively, 9 We calculate z-statistic, the difference in explanatory power, based on Cramer (1987) as follows: z R12 R22 2 ( R12 ) 2 ( R22 ) where = the standard deviation of each individual regression model. Vuong’s test is designed to compare R2s of two models with the same dependent variable but different independent variables, and thus is not applicable to value relevance studies using the same independent variables. So we get the mean and variance of R2s. And then conduct a z-test to compare the means of two R2s (Cramer’s z statistics). As a result, we conduct a Cramer’s z-test when we compare the different period using same independent variables and Vuong’s z-tests when we compare the same period using different independent variables. 10 21 both positive and significant the 1% level. This suggests that adjusted operating income has the incremental information content to K-GAAP operating income. Furthermore, the coefficient of ADJ is not significantly different from that of OIK-GAAP. It appears that operating earnings reported by managers contain value relevant information beyond that provided by operating earnings obtained by financial statements prepared under K-GAAP. Consistent with prior studies, the coefficient of non-operating income, which has lower earnings persistence, has smaller coefficients. [Table 7 about here] To test the relative information content, we run separate regressions for OIK-GAAP and OIADJ, respectively, and conduct statistical tests to see the difference in explanatory power of each operating measure on equity value. Based on Vuong tests, OIADJ is significantly more value relevant than OIK-GAAP in 2011 (Vuong’s Z value = 2.96). This indicates that adjusted operating earnings reported by managers provide greater information content than K-GAAP operating income. In contrast, OIADJ is significantly less value relevant than OIK-GAAP in 2012 (Vuong’s Z value = 3.11). It seems that the change in requirement of operating income disclosure from income statement to footnote reduced managers’ incentives to disclose and convey the signal of true operating performance even if they decided to disclose on the footnote. [Table 8 about here] Financial statements users voiced their concerns about managers’ incentives to inflate operating income when they have the discretion to select which items to be included as part of operating income. To test this presumption, we present the results by whether ADJ is positive or not. Panel A shows that the coefficient of ADJ presented in the income statement in 2011 is positive and significant for both sub-samples with ADJ > 0 and ADJ < 0. This result is consistent with the explanation that the market views the adjusted portion of 22 operating income different from K-GAAP as value relevant. On the other hand, the coefficient of ADJ disclosed on the footnote in 2012 is not significant, implying that the market did not regard the adjusted portion as value relevant. 4.4 Value Relevance of Individual Items in Adjusted Operating Income In this section, we examine whether managers classify a portion of non-operating income items as part of operating income items or a portion of operating income items as part of nonoperating income items. Table 9 exhibits the results of value relevance models with individual items of the portion of operating income adjusted by managers. In 2011, the coefficients of items related to gains and losses from valuation and disposal of assets except those from foreign currency transactions are either insignificant or even negative. On the other hand, the coefficients of items not related to gains and losses from valuation and disposal of assets are significant and positive. Thus, it appears that the result of value relevance of ADJ stems from was driven by the items which are likely to occur from operating related activities. In 2012, we observe similar patterns but weaker results. Overall, the result is not consistent with the explanation that managers intended to alter the perceptions of financial statement users. It is more consistent with the interpretation that managers tend to provide additional useful relevant information through disclosing nonGAAP earnings, which could help investors to better evaluate the firm’s performance. By excluding unusual items, the non-GAAP information enables managers to reveal the firm’s true economic performance to the market. It appears that the market distinguishes operatingrelated activities from non-operating activities and put value on those operating-related activities. V. ADDITIONAL ANALYSES In this section, we refine primary tests by considering additional factors to examine whether the primary results are driven by managers’ economic motivations voiced by some 23 market participants. 5.1 Value Relevance of Adjusted Operating Income by Firm Characteristics Critics contend that the consequence of adjusted operating income discretionally reported by managers is to provide misleading information for investors. To test this assertion, we split the sample with respect to whether firms are profitable or not (high ROA vs. low ROA); whether firms are large or small measured by total assets; whether firms are listed in a more strictly regulated exchange market or not (KSE vs. KOSDAQ), and whether firms have larger discretionary accruals or not. Table 10 shows the results of value relevance of adjusted operating income by firm characteristics. The coefficient of ADJ is positive and significant regardless of whether ROA is greater the mean of the sample firms, whether firms are large or small, whether they are listed on KSE or KOSDAQ, and they have large amounts of discretionary accruals or not. This indicates that managers were not motivated to obscure the current state of operation in determining their adjusted operating income. Rather, it is more consistent with the interpretation that they attempted to offer a clearer picture of the firms’ operating performance. 5.2 Value Relevance of Operating Income for Firms with Extreme Adjustment in Operating Income The newspaper article that a subset of firms listed on KOSDAQ exercised their discretions to avoid negative operating income four years in a row spurred the immediate attention from the public. The question is whether the market saw through this opportunistic behavior so that it did not put value to this adjusted portion of operating income. To address this issue, we split the sample with two groups- firms with the ratio of ADJ to OIK-GAAP is in the upper 5% and lower 5% (Group 2, group with extreme adjustment) and those with the ratio is not in the upper 5% and lower 5% (Group 1, group with the normal adjustment). And then, we split further Group 2 into another two groups- firms with operating income changed from negative to positive due to the adjustment (Group 2-1) and those unchanged (Group 2-2). 24 The coefficient of ADJ for Group 1 is significantly positive. The coefficient of ADJ for Group 2-2 also remains positive and significant but, that for Group 2-1 loses significance, which is the group with the strong motivation to obscure the negative earnings surprise. However, the market viewed the extreme adjustment made by this group as value irrelevant. Thus, it appears that firms which exercised their discretions to overstate their operating income were not successful in influence investors’ perceptions of operating performance. VI. CONCLUSION In this study, we examined the value-relevance of operating income adjusted by firms under K-IFRS. Our findings show that the adjusted operating income disclosed by managers has the incremental information content over and above the operating income prepared by KGAAP. Furthermore, adjusted operating income has a higher explanatory power than KGAAP operating income In addition, the items adjusted due to gains and losses from disposals or valuations except gains and losses from exchange translation did not have value relevance. In contrast, gains and losses which appear to recur during the normal course of operations improved value relevance of earnings. It appears that the market differentially reacts to the adjusted items depending on how they are related to operating activities. In 2012, when firms were required to present K-GAAP operating income, only 24% of companies voluntarily disclosed adjusted operating income on the footnote. In addition, the adjusted operating income had neither value relevance nor explanatory power greater than K-GAAP operating income. In our additional analyses, we document that the value relevance in adjusted operating income is stable regardless of firm characteristics such as ROA, firm size, listing in Korea Stock Exchange, and the magnitude of discretionary accruals. This result implies that managers did not have large intention to manipulate their operating income in order to draw a better picture of their performance. This paper has important political implications for the accounting institution, supervisory authority, media and investors. The controversy over operating income has been excessively focused on the weakness of principle-based perspective in operating income such as raising 25 concerns about comparability impaired by the managerial discretion. Media has highlighted the possibility that the companies which use shifted non-operating revenues above the operating income line and non-operating expenses below the operating income line in order to avoid being classified as supervised shares. Making no effort to boost public sentiment in favor of principle-based perspective in operating income, regulators and standard setters rushed to revise the K-IFRS again in less than a year. This has not taken into account the market’s ability to recognize the differential value effect of the adjusted operating income and use the operating income information effectively by distinguishing the companies' private information from the intention of managerial discretion. Unlike the rule-based perspective in operating income, the principle-based perspective gives managers opportunities to exploit firms-specific knowledge in determining which items to be included or excluded to derive operating income. In this respect, the principle-based perspective in calculating operating income could be the better way to share firm-specific inside information with investors. Our results of this study that adjusted operating income improved both incremental and relative value relevance of operating income support this idea. 26 REFERENCES Barnea, A., J. Ronen, and S. Sadan. 1976. Classificatory Smoothing of Income with Extraordinary Items. The Accounting Review 51(1): 110-122. Bartov, E., S. R. Goldberg, and M. Kim. 2005. Comparative Value Relevance among German, US, and International Accounting Standards: A German Stock Market Perspective. Journal of Accounting, Auditing & Finance 20(2): 95–119. Bhattacharya, N., Black, E., Christensen, T., and C. Larson. 2003. Assessing the Relative Informativeness and Permanence of Non-GAAP Earnings and GAAP Operating Earnings. Journal of Accounting and Economics 36: 285–319. Bowen, R. M., A. K. Davis, and D. A. Matsumoto. 2005 Emphasis on Pro Forma versus GAAP Earnings in Quarterly Press Releases: Determinants, SEC Intervention, and Market Reactions. The Accounting Review 80 (4): 1011-1038. Bradshaw, M. and R.G. Sloan. 2002. GAAP versus Street: An Empirical Assessment of Two Alternative Definitions of Earnings. Journal of Accounting Research 40: 41-66. Brown, L. and K. Sivakumar. 2003. Comparing the Value Relevance of Two Operating Income Measures. Review of Accounting Studies 8(4): 561-572. Callao. S., J. I. Jarne, and J. A. Lainez 2007. Adoption of IFRS in Spain: Effect on the Comparability and Relevance of Financial Reporting. Journal of International, Auditing and Taxation 16: 148-178. Cramer. J. S. 1987. Mean and Variance of R2 in Small and Moderate Samples. Journal of Econometrics 35(2-3): 253-266. Davis, A. 2002. The Value Relevance of Revenue for Internet Firms: Does Reporting Grossed-up or Barter Revenue Make a Difference? Journal of Accounting Research 40(2): 445-477. Elliot, J. and D. Hanna. 1996. Repeated Accounting Write-offs and Information Content of Earnings. Journal of Accounting Research 34 (Supplement): 135-155. Entwistle, G., G. D. Feltman, and C. Mbagwu. 2010. The Value Relevance of Alternative Earnings Measures: A Comparison of Pro Forma, GAAP, and I/B/E/S Earnings. Journal of Accounting, Auditing & Finance 25(2): 261-288. Fairfield, P., R. Sweeney, and T. Yohn. 1996. Accounting Classification and Predictive Content of Earnings. The Accounting Review 71(3): 337-355. Francis, J., D. Hanna, and L. Vincent. 1996. Causes and Effects of Discretionary Asset Writeoffs. Journal of Accounting Research 34 (Supplement): 117-134. Davis, H. 2001. The Numbers Game. BusinessWeek (May 14). 27 Horton, J. and G. Serafeim. 2010. Market Reaction to and valuation of IFRS Reconciliation Adjustments: First Evidence from the UK. Review of Accounting Studies 15(4): 725751. Jaffe, C. 2002. Pro Forma Results are bound to Confuse. Boston Globe (January 23). Johnson, W. B., and S. W. Williams. 2005. Are Investors Misled by “Pro Forma” Earnings? Contemporary Accounting Research 22(4): 915-963. Katherine, S. 2003. Principles Based Accounting Standards. Accounting Horizons 17(1): 6172. Kim, M. C and Y. S. Cheon. 2012. The Improvement of Disclosure of Operating Income. Korean Accounting Journal 21(4): 185-223. Kinney, M. and R. Trezevant. 1997. The Use of Special Items to Manage Earnings and Perceptions. Journal of Financial Statement Analysts 1997(3): 45-53. Landsman, W., E. Maydew, and J. Thornock. 2012. The Information content of annual earnings announcements and mandatory adoption of IFRS. Journal of Accounting and Economics 53(1-2): 34-54. Lee, H. S., M. J. Kang.,G. J. Jahng, and H. S. Lee. 2012. An Analysis on Comparability of Financial Statements after IFRS Adoption. Korean Accounting Journal 21(3): 307342. Leuz, C. 2003. IAS Versus U.S. GAAP: Information Asymmetry-Based Evidence from Germany’s New Market. Journal of Accounting Research 41 (3): 445-472. Lipe, R. 1986. The Information Contained in the Components of Earnings. Journal of Accounting Research 24 (Supplement): 37-64. Lougee, B. A., and C. A. Marquardt. 2004. Earnings Informativeness and Strategic Disvlosure: An Empirical Examination of “Pro-Forma” Earnings. The Accounting Rview 79 (3): 769-795. McVay, S. E. 2006. Earnings Management Using Classification Shifting: An Examination of Core Earnings and Special Items. The Accounting Review 81(3): 501-531. Meulen, S., A. Gaeremynck, and M. Willekens. 2007. Attribute differences between U.S. GAAP and IFRS earnings: An exploratory study. The International Journal of Accounting 42(2): 123-142. Niskanen, J., J. Kinnunen, and E. Kasanen. 2000. The Value Relevance of IAS Reconciliation: Empirical Evidence from Finland. Journal of Accounting and Public Policy 19(2): 119–137. 28 Ohlson, J. 1995. Earnings, Book Values and Dividends in Equity Valuation. Contemporary Accounting Research 11(1): 661-687. Sender, H. 2002. Some Reports on Earnings are Murky-“Pro forma” Results Persist despite Enron Collapse. The Asian Wall Street Journal (June 11). Turner, L. E. 2000. Remarks to the 39th Annual Corporate Counsel Institute, presented at Northwestern University School of Law. October 12, 2000. Voung, Q. H. 1989. Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses. Econometrica 57. 307-333. 29 Exhibit 1 Revisions of K-IFRS 1001 ‘Presentation of Financial Statements’ Paragraphs added K-IFRS 138.2 1) November 2010 September 2012 The following content is disclosed on the footnote: (1) Operating income (2) Primary items and amounts to derive operating income (3) Primary items and amounts if operating income derived differs from operating income under Korean GAAP (This information may not be disclosed after the first year adoption of IFRS) Firms present operating income in the comprehensive income statement, which is derived by subtracting cost of goods sold, selling and administrative expenses (including logistic-related expenses) from revenues. In case of considering the specificity of operations (e.g., difficult to get cost of goods sold) or classifying expenses by character, firms may present operating income by subtracting operating expenses from operating revenues. K-IFRS 138.3 2) No such paragraph Firms present primary items and amounts included to obtain operating income in the comprehensive income statement or disclose them on the footnote. K-IFRS 138.4 3) No such paragraph Firms may disclose adjusted operating income or similar titles of accounts on the footnote if there are revenue or expense items not included from operating income under paragraph KIFRS 138.2 which reflect firms’ operating results. In this case, the disclosure includes the following: (1) Primary items included and their amounts (2) The fact that such adjusted operating income are based on firms’ self-classification 한1 1) 2) K-IFRS 138.2 on September 2012 replaces K-IFRS138.2 revised on November 2010. Newly added paragraphs when revised on September 2012. 30 Table 1 Sample Distribution by Year and Industry Panel A Sample Distribution by Year Year Korea Stock Exchange KOSDAQ Total 2007 485 648 1,133 2008 494 687 1,181 2009 515 737 1,252 2010 530 784 1,314 2011 474 808 1,282 2012 513 862 1,375 Total 3011 4526 7,537 Panel B Sample Distribution by Industry 1) Category1) # of samples Manufacturing 5,383 Percentage (%) 71.42 Electricity, Gas, Steam and Air Conditioning Supply 60 0.8 Construction 302 4.01 Wholesale and Retail Trade 535 7.1 Transportation 73 0.97 Telecommunication Information Service 786 10.43 Other Services 317 4.21 Business Support Service 81 1.07 Total 7,537 100.00 Industry classification is based on one-digit Korea Standard Industry Code. 31 Table 2 The Difference between Adjusted Operating Income and K-GAAP Operating Income Year 20111) Adjusted OI = K-GAAP OI Adjusted OI > K-GAAP OI Adjusted OI < K-GAAP OI Total Year 20121),2) Sample Size Percentage (%) Sample Size Percentage (%) 130 10.14 1,045 76.00 682 53.20 163 11.85 470 36.66 167 12.15 1,282 100.00 1,375 100.00 1) In 2011, adjusted operating income is required to disclose in the income statement and the difference between adjusted operating income and K-GAAP operating income is required to post in footnotes. But, from 2012, K-GAAP operating income should be disclosed in the income statement and adjusted operating income can be posted in footnotes. 2) Even though firms disclose the difference between adjusted operating income and K-GAAP operating income in the category of the effects on accounting policy changes, not using the title of 'adjusted operating income', the difference is treated as adjusted operating income in the same way. 32 Table 3 The Frequency and Importance of difference in Items between K-GAAP Operating Income and Adjusted Operating Income Year 2011 Frequency and percentage Items1) TIA FC RECEIVE Assessment and disposal Items OA FA DERIV PETTY Items with not related to assessment and disposal DON OTHER COMM DIV 1) Year 2012 Frequency2) (%) Average Adjusted Amount3) (%) Frequency2) (%) Average Adjusted Amount3) (%) 902 -16.05 286 -17.14 (78.29) (-71.92) (86.66) (-1.24) 583 2.97 162 -24.22 (50.60) (1.11) (49.09) (-1.89) 524 -28.32 95 0.61 (45.48) (9.14) (28.78) (-4.27) 365 -10.22 170 -74.97 (31.68) (-0.79) (51.51) (-2.04) 291 -29.63 93 -27.14 (25.26) (-307.67) (28.18) (7.12) 122 -3.99 22 17.59 (10.59) (-7.26) (6.66) (3.89) 816 32.09 270 26.52 (70.83) (1.26) (81.81) (-2.70) 685 -18.10 98 -3.05 (59.46) (-1.40) (29.69) (-1.57) 675 28.50 247 8.82 (58.59) (-10.37) (74.84) (1.01) 201 59.28 42 29.72 (17.44) (-5.08) (12.72) (-7.30) 147 82.36 34 18.86 (12.76) (-13.44) (10.30) (0.03) Variable Definitions: TIA = Gains and losses on tangible and intangible assets FC = Gains and losses on foreign currency assets and liabilities RECEIV = Gains and losses on receivables (accounting receivables, loans) 33 OA = Gains and losses on other assets(investment property, membership) FA = Gains and losses on securities DERIV = Gains and losses on derivatives PETTY = Miscellaneous gains and losses DON = Donations OTHER = Other gains and losses COMM = Gains on commissions DIV = Dividends 2) Frequency (%) is the number of firms (percentage) using a corresponding item out of the total number of firms which disclose adjusted operating income each year. 3) Average Adjusted Amount (%) is the average amount of adjustment (percentage) compared to operating income under K-GAAP each year. 34 Table 4 Descriptive Statistics Variable1) P BV OIK-GAAP Year 2011 12,9712) 5,473 23,501 13,129 5,136 26,644 1,008 363 2,951 978 389 3,531 -30 8 1,324 -172 -47 1,300 Year 2007∼2010 14,1702) 5,539 20,320 14,568 5,205 22,175 1,384 449 2,377 OIK-IFRS ADJ NOI -97 -31 922 1) Year 2012 13,2372) 5,300 19,628 16,574 4,799 36,050 1,018 230 2,804 874 218 4,279 -144 0 2,364 -237 -30 1,918 Variable Definitions: P = Stock price per a share on the end of March in year t+1 BV = Book value of equity per a share OIK-GAAP = K-GAAP Operating income per a share K-IFRS OI = Adjusted Operating income per a share ADJ = The difference between OIK-IFRS and OIK-GAAP per a share NOI = Non-operating gains and losses per a share 2) Each means average, median and standard deviation respectively. 35 Table 5 Pearson Correlation among Variables Used in Regressions Panel A Pearson Correlation for the period 2007~2010 Variables1) P OIK-GAAP BV BV 0.8643* OIK-GAAP 0.7490* 0.7577* NOI 0.3086* 0.3273* 0.1883* Panel B Pearson Correlation in 2011 Variables1) P OIK-GAAP BV BV 0.7762* OIK-GAAP 0.7552* 0.5830* OIK-IFRS 0.6527* 0.5014* 0.9328* ADJ 0.0524* 0.0341 0.2537* NOI 0.0589* -0.0827* OIK-IFRS ADJ 0.5851* -0.0295 0.0382 OIK-GAAP OIK-IFRS 0.1688* Panel C Pearson Correlation in 2012 Variables1) P BV BV 0.6716* OIK-GAAP 0.2681* 0.2210* OIK-IFRS 0.2652* 0.2255* 0.9607* ADJ 0.0618* 0.0759* 0.1288* 0.3989* NOI -0.0524* 0.3750* 0.3438* -0.0261 1) Refer to Table 4 for the definitions of variables. * denotes significance at the 10% level. 36 ADJ -0.0108 Table 6 Univariate Analyses: Financial Characteristics between Disclosure Company and Non-disclosure Company of Adjusted Operating Income. Year 2011 Variables1) ROA ADJ=0 ADJ≠0 0.018 0.025 Year 2012 t value (p-value) -0.634 ADJ=0 ADJ≠0 0.016 0.007 (0.54) SIZE 18.544 18.781 -1.998 0.397 0.419 -1.178 18.775 18.836 0.039 0.040 -0.1207 (0.90) 1) -0.757 (0.45) 0.419 0.402 (0.24) OCF 1.237 (0.22) (0.05)* LEV t-value (p-value) 1.297 (0.19) 0.050 0.044 1.068 (0.29) Variable Definitions: ADJ = The difference between OIK-IFRS and OIK-GAAP per a share ROA = Firms' net income divided by total assets at the beginning SIZE = Log of total assets. LEV = Firms' total leverage divided by total assets OCF = Firms' cash flow from operations divided by total assets at the beginning * denotes significance at the 10% level in two-sided test. 37 Table 7 Test on the Value Relevance of Operating Income Presented in the Income Statement before and after IFRS adoption Panel A Value Relevance of Operating Income before and after IFRS adoption Variables1) Intercept Year 2011 6860.307*** (2.96) 7.001*** (49.31) -7.437*** (-30.40) Included 0.690 89.905*** 0.000 1,282 Year 2007∼2010 5352.375*** (9.52) 6.818*** (87.80) -2.863*** (-5.92) Included 0.677 308.36*** OIdisclosure XOI ID Adj. R2 F-value Cramer's Ζ9) N 4,880 Year 2012 6694.405*** (2.89) 6.700*** (37.28) -7.667*** (-35.10) Included 0.543 51.945*** 0.000 1,375 Panel B Value Relevance of K-GAAP Operating Income and Adjusted Operating Income before and after IFRS adoption Variables1) Intercept Year 2011 -1155.021 (-0.56) 0.406*** (26.25) 4.764*** (32.77) 4.742*** (9.66) 3.007*** (12.64) -5.349*** (-15.49) Included 0.690 156.853*** 10.842*** Year 2007∼2010 -348.765 (-0.43) 0.452*** (39.09) 3.759*** (35.42) BV OIK-GAAP ADJ 2.304*** (14.90) -8.244*** (-6.59) Included 0.677 496.002*** NOI XOI ID Adj. R2 F-value Vuong’s Ζ value2) N 1) Year 2012 2221.220 (0.59) 0.204*** (7.40) 4.627*** (13.38) -0.262 (-0.54) 1.147*** (3.28) -3.748*** (-2.63) Included 0.722 26.831*** 7.207*** 2.963*** 4,880 1,152 Variable Definitions: Pit BVit OIitdisclosure OIitK-GAAP = = = = Stock price per a share on the end of March in year t+1 Book value of equity per a share in year t Disclosed Operating income per a share in year t K-GAAP Operating income per a share in year t 38 -3.110*** 330 ADJit NOIit = = The difference between OIK-IFRS and OIK-GAAP per a share in year t Non-operating gains and losses in year t Dummy variable, equals 1 if disclosed operating income is negative in year XOIit = t, 0 otherwise. Industry dummy variable by industry classification based on one-digit = ∑IND Korean standard industry code = Error term in year t εit 2) Vuong’s Ζ value means the difference of explanatory power between K-IFRS operating income model and K-GAAP operating income model */**/*** denote significance at the 10%, 5%, and 1% levels, respectively. 39 Table 8 Test on the Value Relevance of Adjusted Operating Income with Positive Adjustments and Negative Adjustments Panel A Value Relevance of Adjusted Operating Income with Positive Adjustments and Negative Adjustments in 2011 Variables1) ADJ>0 Intercept -2265.704 (-0.83) 0.468*** (20.14) 4.288*** (18.46) 2.546*** (3.22) 2.680*** (6.36) -7.598*** (-6.01) Included 0.821 90.040*** 0.4163 682 BV OIK-GAAP ADJ NOI XOI ID Adj. R2 F-value Vuong’s Ζ value2) N ADJ<0 -1535.505 (-0.51) 0.338*** (15.17) 5.314*** (27.50) 5.868*** (8.10) 3.158*** (10.97) -6.199*** (-13.10) Included 0.846 76.883*** 2.4011** 470 Panel B Value Relevance of Adjusted Operating Income with Positive Adjustments and Negative Adjustments in 2012 Variables1) ADJ>0 ADJ<0 Intercept 2823.555 (0.56) 0.160*** (4.23) 4.704*** (9.57) 1.213 (0.69) 1.568** (2.47) -4.350** (-2.12) Included 0.737 19.836*** -0.6029 163 40 1009.835 (0.17) 0.439*** (6.90) 2.900*** (4.87) 0.441 (0.64) 0.670* (1.67) -4.200* (-1.95) Included 0.730 15.007*** -1.6037* 167 BV OIK-GAAP ADJ NOI XOI ID Adj. R2 F-value Vuong’s Ζ value2) N 1) Refer to Table 7 for the definitions of variables. Vuong’s Ζ value means the difference of explanatory power between K-IFRS operating income model and K-GAAP operating income model */**/*** denote significance at the 10%, 5%, and 1% levels, respectively. 2) 41 Table 9 Test on the Value Relevance of Individual Items in Adjusted Operating Income Variables1) Year 2011 Intercept -1153.462 (-0.58) 0.423*** (27.76) 3.889*** (26.86) -19.976*** (-5.29) 32.344*** (3.84) 6.935* (1.81) -6.623 (-1.43) 2.089 (0.70) -82.100*** (-3.82) 7.135** (2.18) -37.477*** (-4.54) 7.174** (2.38) 43.911*** (7.06) 25.350*** (5.08) 2.669*** (11.52) -2.429*** (-12.90) Included 0.840 135.684*** 1,152 BV OIK-GAAP TIA FC RECEIVE OA FA DERIV PETTY DON OTHER COMM DIV NOI XOI ID Adj. R2 F-value N 1) Year 2012 4489.180 (1.21) 0.187*** (8.40) 4.090*** (12.11) -15.367 (-1.22) -11.385 (-0.77) -101.131 (-1.29) -8.692 (-1.50) 22.276 (1.31) -28.770 (-0.22) 22.027** (2.23) -325.908 (-1.33) -27.558*** (-2.67) 88.617** (2.02) 221.165*** (2.74) 1.336*** (3.96) -3.780*** (-4.72) Included 0.746 23.529*** 330 Refer to Table 3 and Table 7 for the definitions of variables. */**/*** denote significance at the 10%, 5%, and 1% levels, respectively. 42 Table 10 Test on the Value Relevance of Adjusted Operating Income by Financial Characteristics Panel A Value Relevance of Adjusted OI by ROA in 2011 Variables1) ROA>= Average ROA ROA<Average ROA Intercept -5114.188* (-1.76) 0.475*** (14.35) 4.611*** (19.92) 1.505* (1.72) 2.703*** (7.61) 10.809 (0.36) Included 0.832 106.613*** 749 4192.009** (2.07) 0.400*** (31.61) 1.573*** (3.45) 2.714*** (4.09) 1.222*** (3.01) -2.421*** (-4.03) Included 0.82 53.421*** 403 BV OIK-GAAP ADJ NOI XOI ID Adj. R2 F-value N Panel B Value Relevance of Adjusted Operating Income by Size in 2011 Variables1) Intercept BV OIK-GAAP ADJ NOI XOI ID Adj. R2 F-value N SIZE>= Average SIZE 1541.122 (0.44) 0.404*** (17.51) 5.026*** (23.00) 4.758*** (6.67) 3.060*** (9.03) -5.482*** (-10.95) Included 0.838 71.646*** 479 43 SIZE<Average SIZE -1548.342 (-0.80) 0.364*** (11.29) 2.852*** (11.34) 3.662*** (4.16) 1.910*** (2.66) -4.111*** (-5.67) Included 0.579 28.033*** 673 Panel C Value Relevance of Adjusted Operating Income by Stock Exchange Variables1) Intercept BV OIK-GAAP ADJ NOI XOI ID Adj. R2 F-value N Listed on Korea Stock Exchange -2467.902 (-0.67) 0.421*** (18.19) 4.622*** (20.96) 4.723*** (6.26) 2.933*** (8.49) -5.260*** (-10.00) Included 0.843 67.679*** 434 Listed on KOSDAQ 857.260 (0.40) 0.306*** (8.02) 5.455*** (18.39) 4.847*** (5.76) 2.001*** (2.91) -6.132*** (-8.92) Included 0.587 31.028*** 718 Panel D Value Relevance of Operating Income by Size of Discretionary Accruals Variables1) Intercept BV OIK-GAAP ADJ NOI XOI ID Adj. R2 F-value N DA<= Average DA -840.356 (-0.32) 0.438*** (21.67) 4.793*** (27.92) 4.103*** (5.93) 2.620*** (7.89) -5.054*** (-11.49) Included 0.865 102.708*** 557 1) DA>Average DA -2551.499** (-0.77) 0.374*** (13.89) 4.626*** (15.67) 5.452*** (7.07) 3.396*** (9.28) -5.633*** (-9.24) Included 0.766 56.443*** 595 Refer to Table 3 and Table 7 for the definitions of variables. */**/*** denote significance at the 10%, 5%, and 1% levels, respectively. 44 Table 11 Test on the Value Relevance of Operating Income with Extreme Adjustments Variables 1) Intercept BV OIK-GAAP ADJ NOI XOI ID Adj. R2 F-value N Group22) 2) Group1 -1785.335 (-0.95) 0.410*** (25.30) 4.761*** (31.89) 5.985*** (9.28) 2.978*** (12.43) -6.046*** (-14.45) Included 0.824 154.676*** 1,022 Group2-12) Group2-22) 2244.244 (0.96) 0.614*** (3.38) 7.676 (0.77) 2.751 (1.40) 0.287 (0.41) 2702.709 (0.67) 0.335*** (10.00) -0.797 (-0.53) 2.620*** (6.18) 2.299 (1.58) -3.363*** (-5.17) Included 0.818 14.454*** 88 Included 0.636 4.408*** 42 1) Refer to Table 3 for the definitions of variables. The definitions of Group: Group1 = The Ratio of ADJ/OIK-GAAP is not in the upper 5% and the lower 5% Group2 = The Ratio of ADJ/OIK-GAAP is in the upper 5% and the lower 5%r Group2-1 = In The Group 2, OIK-GAAP is negative but OIK-IFRS is positive Group2-2 = Out of Group 2, excluding Group 2-1 */**/*** denote significance at the 10%, 5%, and 1% levels, respectively. 2) 45