Is there a correlation between the R&D accounting treatment and the risk of the firm? Evidence from Italy. Riccardo Cimini (§§ 3, 4, 5) Ph.D. Student in Management and Organization of the Firm University of Rome “Tor Vergata” Via Columbia 2, 00133 Rome, Italy Phone: +39 06 72595751, Fax: +39 06 72595804 e-mail: riccardo.cimini@uniroma2.it Alessandro Gaetano (§ 1) Full Professor of Accounting University of Rome “Tor Vergata” Via Columbia 2, 00133 Rome, Italy Phone: +39 06 72595801, Fax: +39 06 72595804 e-mail: gaetano@uniroma2.it Alessandra Pagani (§§ 2, 6) Ph.D. Student in Management and Organization of the Firm University of Rome “Tor Vergata” Via Columbia 2, 00133 Rome, Italy Phone: +39 06 72595751, Fax: +39 06 72595804 e-mail: alessandra.pagani@uniroma2.it Is there a correlation between the R&D accounting treatment and the risk of the firm? Evidence from Italy. Abstract The research and development (R&D) accounting treatment is an open debate for academics and practitioners. This study contributes to the ongoing debate about capitalization or expensing of R&D expenditures and investigates the existence of a correlation between the attitude to recognize the R&D expenditures as expenses or as capital assets and the operating risk of the firm. This work aims to study this topic on a sample of 137 companies listed on the Italian Stock Exchange in 2009, not considering banks and other financial institutions. Our findings emphasize that the R&D accounting treatment depends on the sector they belong to and that recognizing R&D expenditures as expenses identifies the firms with a higher degree of risk. So, in line with a strand of literature on R&D accounting treatment, this research evidences that the capitalization is preferable because the market perceives that the entity has a lower risk. Keywords: R&D expenditures; R&D accounting treatment; IAS 38; operative risk. 2 1. Introduction In the knowledge economy era, the Research and Development (R&D) investments have a crucial role, as the proliferation of successful R&D projects can really promote the development and increasing wealth of the firm. This paper aims to investigate their accounting treatment and the correlation of this choice with the risk of the company. As to accounting treatment, according to the Financial Accounting Standards Board (FASB), R&D must be immediately expensed in the statement of net income and comprehensive income (SFAS n. 2); instead, the International Accounting Standard Board (IASB) also allows capitalization of R&D expenditures, under specific circumstances (IAS 38). In this regard, FASB justified the immediately expenditures of all R&D costs on the grounds that there is not an evident and consistent association between R&D outlays and subsequent economic benefits for any specific R&D project. Instead, in IAS 38, while research expenditures may not be capitalized, development costs could be accounted as an asset only if they respect restrictive criteria1. Like the IAS 38, the Italian Accounting Standard n. 24 allows some flexibility on the R&D accounting treatment. However, according to the article 2426 of the Italian Civil Code, the capitalization method must be authorized by the statutory auditors and it is not possible to pay dividends until there are enough retained earnings to cover the capitalized R&D that are still not amortized. 1 Research expenditures may not be capitalized and development costs could be recognized as an asset only if the company fulfils six restrictive requirements: (1) the technical feasibility to complete the intangible asset for use or sale; (2) the firms must intend to complete the asset for use or sale; (3) it must be able to actually use or sell the intangible asset; (4) there must be a reasonable certainty that the intangible asset will generate future economic benefits; (5) there must be available technical, financial and other resources required for the completion of the asset and its sale or use; and (6) the firm must be able to measure the expenditure attributable to the intangible asset during its developmental phase. 3 Expensing means that yearly (or quarterly) R&D expenditures are subtracted from revenues during the process of calculating net income; instead, capitalizing means reporting them in the statement of financial position that is possible when insiders expect future benefits. So, on average, R&D expenditures are associated with future earnings but it isn’t true for every single R&D project. Consequently, if R&D expenditures provide economic benefits in the future, then capitalizing them is optimal; on the contrary, expensing is desirable. Over the years, several studies underline that the choice of R&D accounting treatment generates different consequences on performances, disclosure, value and risk of the firm. This paper aims to investigate if there is a relationship between the selected R&D accounting treatment and the operating risk of the firm. To verify whether such accounting treatment is correlated with the operative risk of the firm, we collected data from the consolidated financial statements of 137 companies listed on the Italian Stock Exchange in 2009. Following Lantz and Sahut (2005), we calculated three indexes that show the preferences of firms to report R&D expenditures in the income statement or in the statement of financial position. Subsequently, we correlated these indicators with the operating risk of the company, which in our case is represented by the beta unlevered. Our results confirmed that the recognition of the R&D expenditures as expenses identifies the firms with a higher degree of risk; on the contrary, if the entities decide to capitalize the R&D expenditures, the perceived risk of the firm by the market is lower. In this paper we would like to give a contribute to the existing literature, that in Italy has never investigated the correlation between the R&D accounting treatment and the operating risk of firms. In addition to contributing to the literature, this paper also has implications for practitioners and standard setters. 4 To practitioners, this paper suggests that capitalizing or considering R&D expenditures as costs has an impact on the outsiders’ perception of the risk of firms. To standard setters, this research would like to suggest that accounting discretion should be limited. Our paper continues as follows. In section 2, we will review the literature about R&D expenditures taking into particular account the research that investigates the correlation between the accounting treatment and the operative risk of the firm. In section 3, we will focus on our research design. Section 4 is about our sample selection strategy and descriptive statistics of collected data. In section 5, we will show our results; Section 6 is the conclusion of the work and contains its further future developments. 2. Literature review The research and development (R&D) accounting treatment is a controversial issue. Over the years, several aspects have been investigated by scholars. In the introduction of this work, we have underlined that the principal characteristic that discriminates an asset from an expenditure is the possibility to create future benefits for firms. Moving from this distinction, Lev and Sougiannis (1996), Healy et al. (2002) and Chambers et al. (2003) studied the R&D accounting treatment as a tool to discriminate between good and bad R&D projects. Other scholars have investigated whether such accounting treatment leads to an erosion in the informative quality of financial reporting (Ledoux and Cormier 2011; Lev and Sougiannis, 1999; Teodori and Veneziani, 2010). Anagnostopoulou (2010) suggests that the choice of the R&D accounting treatment is related to inaccuracy and errors in earnings forecasts. 5 Academics also have focused on the relationship between R&D expenditures and future earnings (Cazavan-Jeny et al. 2011; Lev and Sougiannis, 1996; Lev and Sougiannis, 1999; Markarian, Pozza et Prencipe, 2008) or have estimated the economic value of R&D intangible assets (Ballester et al. 2003). For instance, Markarian et al. (2007) demonstrated that firms with a lower return on assets are more likely to recognize R&D expenditures as assets; on the contrary, firms that have improved their profits are more likely to recognize R&D expenditures as expenses. Between the value relevance studies, the ones of Cazavan-Jeny and Jeanjean (2006), Oswald and Zarowin (2007), Tsoligkas and Tsalavoutas (2011) have assessed the value relevance of the different R&D accounting methods. Besides the literature about financial disclosure, several scholars have investigated R&D expenditures: for instance, Teodori and Veneziani (2010) in the Italian context and Lev et al. (1999) at an international level. Finally, several studies have investigated the correlation with the firm value (Cazavan-Jeny et al. 2011; Lantz and Sahut, 2005). These researches have tried to find a positive relationship between R&D expenditures and returns or highlighted that the stock exchange prices depend on the different grade of competition in the sector and are in a positive relation with the R&D costs. Among the ones that found a positive relation between the level of R&D expenditures and the firm’s value, there are Bublitz and Ettredge (1989), Sougiannis (1994) and Lev and Sougiannis (1996) who have provided evidence that the growth of R&D investments are positively correlated with subsequent earnings. Similar results have been achieved by Lev and Sougiannis (1996) who found a significant and inter-temporal association between capitalized R&D and future stock returns. This paper aims to contribute to the ongoing debate on capitalizing or expensing R&D expenditures and investigates the existence of a correlation between the risk of the company and its attitude to recognize the R&D expenditures as expenses or as capital assets. 6 In literature, proponents of the expensing method argue that the capitalization method allows managers to manipulate earnings and asset values, as the amount of R&D costs to be capitalized are subjective. On the contrary, expensing is preferable to capitalization because it eliminates the possibility for managers to capitalize costs of R&D projects that have a low probability of success. Despite the arguments that support the expensing method, it’s important to note that also with this method reported earnings could also be manipulated. In fact, when the R&D investments are recognized as expenses, the decision to reduce future R&D investments increases the reported earnings and could influence the outsiders perception of the firm’s performance. Consequently, proponents of the capitalization method argue that when R&D is capitalized, a real decrease in R&D expenditures will have a small immediate effect on earnings, so it is more difficult that outsiders mislead the economic performance. On this point, Lev et al. (1999) showed that the immediate expensing of R&D may induce a relevant reporting bias. In fact, for their essence, R&D investments are subject to high asymmetric information2 between the firm and the market participants (Aboody and Lev, 2001) that increases the firm’s risk perceived by the investors because the future value of R&D projects is not guaranteed. As to this perception, Lev et Sougiannis (1996) highlighted that, on average, R&D expenditures are considered by investors an amortizable asset rather than an expense. Even though the study of Ho et al. (2004), demonstrated that the capitalization of R&D expenditures is linked with a high beta risk, the research of Lantz and Sahut (2005) showed that the risk of a firm increases with high R&D expenses and low intangible assets. 2 For more information see: Agrawal A. and Knoeber C.R. (1996), Firm performance and mechanisms to control agency problems between managers and shareholders, Journal of financial and quantitative analysis, 31 (3), pp. 377397 and Jensen M.C. and Meckling W.H. (1976), Theory of the firm: managerial behaviour, agency costs and ownership structure, Journal of Financial Economics, 4, pp. 305-360. 7 As far as we are concerned, proponents of capitalization have produced more a persuasive argument than scholars who suggest to expensing all the R&D expenditures in the statement of net income and comprehensive income. So, in this paper, moving from the work of Lantz and Sahut (2005), we formulate the following hypothesis. Hypothesis 1: the risk of the firm is higher when R&D investments are accounted as expenses. 3. Methodology This research aims to investigate the existence of a correlation between the attitude to recognize the R&D expenditures as expenses or capital assets and the operating risk of the firm. In other words, we study whether the risk perceived by investors is correlated to how insiders have exercised accounting discretion in considering R&D as costs or capital assets. To answer our research question, following Lantz and Sahut (2005), in a first step we have calculated three indexes, in order to show the preferences of the firms to report the R&D expenditures in the statement of net income and comprehensive income or in the statement of financial position. In a second step, we have correlated these indexes with a measure of the operating risk of the company, that in our case has been measured with beta unlevered. The indexes useful for our analysis are the so called R&D expenses ratio, calculated by dividing the R&D expenses and the EBIT ( R&𝐷 𝑒𝑥𝑝𝑒𝑛𝑠𝑒𝑠 EBIT ), the R&D capitalization ratio, calculated by dividing the Intangible assets and the R&D expenses ( Intangible assets R&𝐷 𝑒𝑥𝑝𝑒𝑛𝑠𝑒𝑠 ) and the intangibility of the Intangible assets firm, calculated by dividing the intangible assets with the total assets ( It is worth explaining what these indexes mean. 8 Total assets ). The “R&D expenses ratio” measures the weight of R&D expenses respect to the reported EBIT and is a measure very useful to detect the attitude of the firm to recognize the R&D expenditures in the statement of net income and comprehensive income. Therefore, the more this index is high, the more the firm has large expenses in R&D compared to the EBIT. Correlating this index with our measure of operating risk (beta unlevered), we would like to study whether the entities that use to account R&D as expenses are the riskier ones. The “R&D capitalization ratio” measures the amount of intangible assets compared to R&D expenses. It is a good proxy whose purpose is detecting the attitude of the firms to recognize their R&D expenditures in the statement of financial position. Therefore, the more this index is high the more firms have large intangible assets compared to R&D expenses. Correlating this index with our measure of operating risk (beta unlevered), we would like to study whether the entities that use to account R&D as capital assets are the riskier ones. The “intangibility of the firm” measures the amount of intangible assets compared to the total assets. Like the second one, this index is also useful to evaluate the firms’ attitude to capitalize R&D expenditures. The Pearson correlations matrix is the statistical tool that we have used in order to evaluate whether the operating risk perceived by investors (measured by beta unlevered) is correlated to how insiders have exercised accounting discretion in considering R&D as costs or capital assets (measured by our indexes). Finally, as in Lantz and Sahut (2005), we have done a cluster analysis in order to confirm and improve the results held with the correlation analysis. In a more detail, putting the beta unlevered and the natural logarithm of net income 3 respectively on the x-ass and the y-ass and splitting them at the median, we have divided our entities in 4 clusters 3 Colin et al. (2009) explain that using the natural logarithm of total assets eliminates the skewness and the excess of kurtosis. 9 and for each of them we have investigated whether reporting discretion influences the perceived risk (and return) of the firms. 4. Sample selection and descriptive statistics To answer our research question, we collected data through the firms’ consolidated financial statements of 137 companies listed on the Italian Stock Exchange in 2009, not considering banks and other financial institutions. Whether not available, data have been collected making a phone survey. According to our sample selection strategy, we excluded entities for which no data were available and the ones whose fiscal year do not end at 31st December, in order to have data at the same reporting date. We have also excluded groups which do not adopt the IASB standards and groups that were in a bankruptcy or in a liquidation procedure, for homogeneity issues. Table 1 shows that in 2009, only 109 entities invested in R&D. Table 1: The composition of the sample Number 109 28 137 Entities that invested in R&D Entities that did not invested in R&D Total: Percentage 80% 20% 100% Taking into account the 109 entities, which invested in R&D, we would like to investigate whether the R&D accounting treatment is correlated with the operating risk of the firm. 10 According to the IAS 38 accounting standard, these entities had distinguished in their investment project the phase of research from the one of development to decide whether to expense or capitalize the associated R&D expenditures. In 2009, 42 entities (39%) invested both in research and development so in the consolidate financial statements they reported these expenditures as expenses or capital assets. The remaining 67 entities (61%) have invested either in research or in development. More in detail, within these last ones, 34 entities have recognized in their investment only the phase of “research”, reporting them in the statement of net income and comprehensive income as expenses; the other 33 firms have recognized only the phase of “development”, capitalizing the correlated costs in the statement of financial position. Table 2 shows our findings. Table 2: The kind of R&D expenditures N. of entities that have invested Percentage in research 34 in development 33 67 61% both in R&D Total 42 109 39% 100% Before showing the Pearson correlations matrix, Table 3 gives the evidence of the industries, which the 109 entities belong to. Travel and leisure Telecommunicatio ns 29 10 21 2 3 3 3 2 11 13 Total Media 8 Technology Health care 1 House hold goods 4 Automobiles & parts Food and beverage Basic material Oil and gas Retail 2 Industrial goods & services 1 Construction & materials 7 Chemicals Public utilities Table 3: Number of firms belonging to the different industries 109 Finally, Table 4 shows the average and the median values of the “R&D expenses ratio” R&𝐷 𝑒𝑥𝑝𝑒𝑛𝑠𝑒𝑠 Intangible assets EBIT R&𝐷 𝑒𝑥𝑝𝑒𝑛𝑠𝑒𝑠 ( ), the “R&D capitalization ratio” ( ) and the “intangibility of the firm” Intangible assets ( Total assets ) for the industries indicated in Table 3. Table 4: The average and median of our indexes in the different industries Public utilities Chemicals Retail Oil and gas Basic material Construction & materials Industrial goods & services Automobiles & parts Food and beverage Household goods Healthcare Media Travel and leisure Telecommunication Technology Total: Wilcoxon signed-ranks test (p-values) R&𝐷 𝑒𝑥𝑝𝑒𝑛𝑠𝑒𝑠 Intangible assets Intangible assets EBIT Total assets R&𝐷 𝑒𝑥𝑝𝑒𝑛𝑠𝑒𝑠 average median average median average median 0.0047 0.0008 329.7870 6.1239 0.0698 0.0299 0.2092 0.2092 1.6157 1.6157 0.1906 0.1906 0.0201 0.0201 496.0000 496.0000 0.0551 0.0551 0.0073 0.0072 9.4017 9.4017 0.0450 0.0710 -0.2410 -0.2410 0 0 0.0020 0.0020 0.1098 0.0703 373.9700 373.9700 0.0473 0.0090 0.0296 0.0043 40.6170 4.5093 0.0573 0.0307 0.5016 0.0049 0.7595 0.0762 0.0003 0 0.3065 -0.0410 0.2140 0.1191 0.0049 0.1293 0.0762 0 0 0.0135 0 0.0020 2.2089 0 121.7420 2.7938 1.0364 118.6710 7.2883 298.5200 127.2818 0.0269 2.1171 0 4.4172 2.7938 1.0364 88.6960 7.2883 9.5099 3.9777 0.0152 0.0689 0.0070 0.9307 0.0620 0.0277 0.1657 0.0568 0.1022 0.2345 0.0588 0.0070 0.0710 0.0620 0.0112 0.2151 0.0729 0.0790 0.0409 0.2116 In each sector and for each ratio, whether the value of the median is not similar to the matched-pair value of the average, thus outliers exist. In a more clear words, there are firms that belong to a specific sector that behave differently from the other ones belonging to the same sector, in terms of R&D accounting treatment. For each sector, such comparisons could be very interesting to discover whether the R&D accounting choices are homogeneous or biased by outliers. 12 So, for each index, in order to judge whether average values are statistically equal to the median ones (null hypothesis), we have tested the null hypothesis that both distributions are the same, by using the Wilcoxon (1945) signed-ranks test. With a 5% level of significance, while for the “R&D expenses ratio” and the “R&D capitalization ratio” the null hypothesis is refused (p-values are respectively 0.0269 and 0.0152), for the “intangibility of the firm” it cannot be refused (p-value is 0.2116). Therefore, the “intangibility of the firms” is homogeneous between the firms that belong to a specific sector or, in a more clear way, the firms belonging to the same industry invest in R&D a very similar percentage of their total assets. Despite the same percentage of total asset invested in R&D, within each sector their attitude to capitalize or to recognize them as expenses is very different, producing significant differences between the ratios. For instance, as shown in Table 4, as to “R&D expenses ratio”, such R&D accounting treatment within the same sector increases the difference between average and median in firms belonging to public utilities, industrial goods & services, automobiles & parts and household goods industries; instead, with regard to “R&D capitalization ratio” the difference between average and median is in the firms belonging to public utilities, industrial goods & services, household goods, travel & leisure and technology sectors. 5. The Pearson correlations matrix and further analysis In the Pearson correlation matrix we read the linear correlation between the three indexes presented above with the operating risk of the firms (beta unlevered). 13 Table 5 shows the coefficients, whose level of significance4 is reported when it is less than 5%. Table 5: Pearson correlations matrix R&𝐷 𝑒𝑥𝑝𝑒𝑛𝑠𝑒𝑠 EBIT Intangible assets R&𝐷 𝑒𝑥𝑝𝑒𝑛𝑠𝑒𝑠 Intangible assets Total assets Beta unlevered R&𝐷 𝑒𝑥𝑝𝑒𝑛𝑠𝑒𝑠 EBIT Intangible assets R&𝐷 𝑒𝑥𝑝𝑒𝑛𝑠𝑒𝑠 Intangible assets Total assets Beta unlevered 1.00 -0.0432 1.00 -0.0107 0.3165* (0.0053) 1.00 0.1937* (0.0445) 0.0747 -0.0034 1.00 (*) Correlation coefficient with statistical significance less that 5% The Pearson correlations matrix suggests us that differently from Lantz and Sahut (2005), the R&D capitalization ratio and the intangibility of the firms seem not to be correlated with the risk of the company, as the correlations coefficients are not statistically significant. Instead, the correlations matrix reveals that “R&D expenses ratio” and beta unlevered are correlated. In a more detail, we observe a significant positive correlation between them (0.1937), so our findings suggest that the recognition of the R&D expenditures as expenses in the statement of net income and comprehensive income burdens net income and identifies the riskier entities. More specifically about the risk, as we read in Lantz and Sahut (2005), the positive correlation with risk “is due to the fact that these firms would have multiple options of economic exploitations of this research in the future (real option). However, the fact that they are not marketable immediately generates a doubt about the economic effectiveness of this research and thus the perceived risk by investors” (Lantz and Sahut, 2005:263). 4 The statistical significance (p-value) of the correlation indexes allows us to test the null hypothesis that such indexes are different from zero and the correlated variables could be considered independent. 14 To summarize our findings, the Pearson correlations matrix allows us to conclude that the recognition of the R&D expenditures as expenses identifies the firms with high degree of risk. The matrix says nothing about the correlation of R&D accounting treatment and the attitude to capitalize the R&D expenditure. In order to investigate this aspect, similarly to Lantz and Sahut (2005), we divided our entities in 4 clusters as showed in Figure 1. where the variables on the axes (beta unlevered and the natural logarithm of net income) have been split at the median. Choosing the natural logarithm of net income (a measure of the firms performance) is necessary in order to build a matrix with 4 clusters. Figure 1 shows our findings. Figure 1: R&D strategy of the Italian listed company For each cluster we have calculated the average R&D expenses ratio, the R&D capitalization ratio and the average beta unlevered. Our data suggest that firms in cluster 3, whose beta (0.74) is under the median of the distribution (low) have high “R&D capitalization ratio” (high because 151.42 is bigger than 129.67 and 58.92 15 respectively observed in clusters 1 and 2) and low “R&D expenses ratio” (low because 0.1039 is less than 0.1709 and 1.10 respectively observed in clusters 2 and 4). So capitalization of R&D expenditures is associated with lower beta unlevered. Instead, firms in cluster 2, whose beta (1.30) is over the median of the distribution (high), have low “R&D capitalization ratio” (low because 58.92 is less than 129.67, 151.42 and 405.28 respectively observed in clusters 1, 3 and 4) and high R&D expenses ratio (high because 0.1709 is higher than 0.125 and 0.1039 respectively observed in clusters 1 and 3). So the attitude to expense R&D expenditures is associated with higher beta unlevered. Clusters 1 and 4 help us to confirm that in the riskier entities the “R&D expenses ratio” is higher (cluster 4) than the same ratio of the firms with lower beta unlevered (cluster 1). So, our conclusion is similar to the one joined by Lantz and Sahut (2005). For the entities that have to decide if capitalize the R&D expenditure or recognize them in the income statement, capitalization is preferable, because the perceived risk of the firm by the market is lower. The test of difference of the average rejects the null hypothesis that cluster 3 average beta unlevered is equal to the one of the firms in cluster 2 (p-value=0), validating our findings. 6. Conclusions The importance of the R&D accounting treatment arises from the central relevance that R&D projects have in increasing the innovation capability of the firm and, consequently, their future economic performances. In fact, as declared by the Nobel winner Burton Richter: “Science, which is bringing new discoveries expected to create new industries every day, cannot be done without, for example, the lasers and computers that have been developed from previous science. The pace of progress in this direction is so fast that for a large number of high-tech industries, today’s 16 technology is based on today’s science [...]”. Briefly, this philosophy could be synthesized by his following sentence: “Today’s technology is based on yesterday’s science; today’s science is based on today’s technology” (Richter, 1995:3). As we said in the introduction, this paper aims to investigate the correlation of R&D accounting treatment and the risk of the company. Our findings evidence that the recognition of the R&D expenditures as assets identifies the firms with low degree of risk; so, if the entities decide to capitalize the R&D expenditure, then the perceived risk of the firm by the market is lower. On the contrary, our results show that when the R&D expenditures are accounted as costs, they impact return negatively and identify an R&D project with a low probably of success: in other words a firm with a high risk profile. Our conclusions could be justified by the fact that capitalization tends to decrease the information asymmetry between stakeholders and managers. Furthermore, the capitalized R&D projects are perceived as profitable and as a source of competitive advantage by the market, so the firm’s risk is perceived as lower. Unfortunately, the IASB financial disclosure requirements have not allowed us to distinguish whether the R&D expenditures have been disclosed in the statement of net income and comprehensive income because of the low quality of the projects or this policy is due to a prudent choice of insiders to limit capitalizations, connected to the entity’s capability in value creation. Without these information, the perceived risk of the entities that account R&D expenditures as a costs is the same because investors do not know the reason of such accounting choice. This kind of disclosure not only could improve our analysis, but, if adopted by standard setters, the informativeness of financial statement becomes more reliable. Consequently, investors are able to better discriminate the risk according to the accounting treatment chosen. Other than this limitation, it could be interesting to analyze the R&D accounting treatment in other EU countries in order to investigate whether our results are confirmed. 17 References Aboody D. and Lev B. (1998), The value relevance of intangibles: the case of software capitalization, Journal of Accounting Research, 36(3), pp. 161-191. Agrawal A. and Knoeber C.R. (1996), Firm performance and mechanisms to control agency problems between managers and shareholders, Journal of financial and quantitative analysis, 31(3), pp. 377-397. Ahmed K. and Falk H. (2006), The value relevance of management’s research and development reporting choice: Evidence from Australia, Journal of Accounting and Public Policy, 25, pp. 231264. Ahmed K. and Falk H. (2009), The riskiness of future benefits: the case of capitalization of R&D and capital expenditures, Journal of International Accounting Research, 8(2), pp. 45-60. Anagnostopoulou S.C. (2010), Does the capitalization of development costs improve Analyst forecast accuracy? Evidence from the UK, Journal of International Financial Management and Accounting, 21(1), pp. 62-83. Ballester M., Garcia-Ayuso M. and Livnat J. (2003), The economic value of the R&D intangible assets, European Accounting Review, 12(4), pp. 605-633. Bublitz B. and Ettredge M. (1989), Advertising, research and development, Accounting Review, January, 64, pp. 108-124. Cazavan-Jeny A. and Jeanjean T. (2003), Value relevance of R&D reporting: a signalling interpretation, working paper, CEREG, (3), University Paris IX Dauphine. Cazavan-Jeny A. and Jeanjean T. (2006), The negative impact of R&D capitalization: A value relevance approach, European Accounting Review, 15(1), pp. 37-61. Cazavan-Jeny A., Jeanjean T. and Joos P. (2011), Accounting choice and future performance: the case of R&D accounting in France, Journal of Accountig and Public Policy, 30, pp. 145-165. Chambers D., Jennings R. and Thompson R. B. (2003), Managerial discretion and accounting for research and development costs, Journal of Accounting Auditing and Finance, 18(1), pp. 79-114. Chan H., Faff R. and Gharghori P. (2007), The relation between R&D intensity and future market returns: does expensing versus capitalization matter?, Review of Quantitative Finance and Accounting, 29(1), pp. 25-51. 18 Chan L.K.C., Lakonishok J. and Sougiannis T. (2001), The stock market valuation of research and development expenditures, Journal of Finance, 56(6), pp. 2431-2457. Ciftci M., Lev B. and Radhakrishnan S. (2011), Is research and development mispriced or properly risk adjusted?, Journal of Accounting Auditing and Finance, 26(1), pp. 81-116. Colin A., Cameron P. and Trivedi P.K. (eds) (2009), Microeconometrics using Stata. (College Station, Texas: A Stata Press Publication). Deng Z. And Lev B. (2006), In-Process R&D: To Capitalize or Expense?, The Journal of Engineering and Technology Management, 23(1-2), pp.18-32. Han B. H. and Manry D. (2004), The value-relevance of R&D and advertising expenditures: Evidence from Korea, The International Journal of Accounting, 39, pp. 155-173. Healy P.M., Myers S. C. and Howe C. D. (2002), R&D accounting and the trade-off between relevance and objectivity, Journal of Accounting Research, 40(3), pp. 677–710. Ho Y.K., Zhenyu X. and Yap C.M. (2004), R&D investment and systematic risk, Accounting and Finance, 44(3), pp. 393-418. Lantz J.S. and Sahut J.M. (2005), R&D Investment and the Financial Performance of Technological Firms, International Journal of Business, 10(3), pp. 251-270. Jensen M.C. and Meckling W.H. (1976), Theory of the firm: managerial behaviour, agency costs and ownership structure, Journal of Financial Economics, 4, pp. 305-360. Ledoux M.J. and Cormier D. (2001), Market Assessment of Intangibles and Voluntary Disclosure about Innovation: The Incidence of IFRS, ESG, 4, cahier de recherche. Lev B. and Sougiannis T. (1996), The capitalization, amortization, and value-relevance of R&D, Journal of Accounting and Economics, 21(1), pp.107–138. Lev B., Sarath B. and Sougiannis T. (1999), R&D Reporting biases and their consequences, Contemporaney Accounting Research, 12(1), pp. 977-1026. Lev B. and Sougiannis T. (1999), Penetrating the book-to-market black box: the R&D effect, Journal of Business Finance and Accounting, 26(3/4), pp.419–460. Lev B. and Zarowin P. (1999), The Boundaries of Financial Reporting and How to Extend Them, Journal of Accounting Research, pp. 353-385. 19 Markarian G., Pozza P. and Prencipe A. (2008), Capitalization of R&D costs and earnings management: evidence from Italian listed companies, The International Journal of Accounting, 43, pp. 246-267. Oswald D. R. and Zarowin P. (2007), Capitalization of R&D and the Informativeness of Stock Prices, European Accounting Review, 16(4), pp. 703-726. Prencipe A., Markarian G. and Pozza L. (2008), Earnings management in family firms: evidence from R&D cost capitalization in Italy, Family Business Review, 21(1), pp. 71-88. Richter B. (1995), The role of Science in our society, Presented at the Unity of Physics Day Joint Symposium of the American Physical Society and American Association of Physics Teachers, (Washington, DC, USA). Sougiannis T. (1994), The accounting based valuation of corporate R&D, The Accounting Review, 69, pp. 44–68. Teodori C. and Veneziani M. (2005), Intangible assets in annual reports: a disclosures index, Paper del Dipartimento di Economia Aziendale, Università degli Studi di Brescia. Tsoligkas F. and Tsalavoutas I. (2011), Value relevance of R&D in the UK after IFRS mandatory implementation, Applied Financial Economics, 21(13), pp. 957-967. Wilcoxon R. (1945), Individual comparisons by ranking methods, Biometrics, (1), pp. 80-83. 20