Journal of Economics & Business, Vol. 02 No. 02 (2018) 128 - 141 Journal Of Economics & Business Journal homepage: www.jebi-atmajaya.com INVESTMENT DECISION MAKING BASED ON VALUE AT RISK (VAR) ANALYSIS FOR STOCKS OF STATE OWN BANK IN INDONESIA Suandi Sitorus1 Risk Management Division of China Construction Bank Indonesia Email: suandi.sitorus@gmail.com Received: September 20, 2018 Accepted: September 29, 2018 Published: October 04, 2018 To link to this article DOI: http://dx.doi.org/10.25170/jebi.v2i2.42 ABSTRACT The purpose of this journal is how to measurement the probability of the maximum risk level for stocks of state-owned banks in Indonesia. One consideration for investors to make an investments decision in stock instruments by monitoring the daily volatility movement and the trend. From the risk perspective by measuring the maximum probability of risk level in the future, it can be a consideration in making stock investment decisions that have the same movements and characteristics. Risk projection based on historical data with a certain time period can be calculated with Value at Risk (VaR) with a certain level of confidence. Thus the investment decision will be optimal. The Value at Risk model will calculate the expected losses. This research will show that volatility that looks the same but has a different level of risk. This research will measuring a useful value for prospective investors in determining investments among the stocks of state-owned banks in Indonesia. The data used in this study is the stock closing price that has been adjusted taken from the source of the website www.yahoo finance for the period 2015-2018. This study stipulates that the VAR model is the maximum risk estimate that may arise with a 95% confidence level, or an error rate that is tolerated at 5%. The VaR method used is historical analysis. Keywords: Value at Risk, Historical Simulation, Stocks of State Own Banks in Indonesia. 1. INTRODUCTION Talking about investment means talking about return and risk. The stickiest term in the community that investment is high risk high return, low risk low return. Investment risk is an investment return opportunity that is different from the expected return. Investors will be faced with market risk called systematic risk. Systematic risk is generally risk that difficult to avoid, which is caused by among others, the interest rate risk, inflationary risk, and volatility on market risk. ______________________ Published Online: October 2018 Online E-ISSN 2549-5860 | Print P-ISSN 2579-3128 Faculty of Economics and Business Atma Jaya Catholic University of Indonesia, 2018 2018 Published by Atma Jaya Catholic University. This is an open access article at www.jebi-atmajaya.com Peer-review under responsibility of the Team Editor Journal of Economics and Business Sitorus / Journal of Economics & Business, Vol. 02 No. 02 (2018) 128 - 141 The risk of an investment can be single and portfolio, and it able to measure by referring the possibility of financial losses due to the movement of systematic economic variables both of interest rates and exchange rates (Fallon, 1996). In the context of investment, several things that important concern are: (1). What are the most profitable investments? (2).Will investment in certain assets be more profitable than other asset investments? (3).Where is the source of funding for optimum investment? (4).What is the return on investment level that you want? (5). How much risk can be measured in certain asset investments? The points mentioned above become the main highlights of the investor, but can be simplified by measuring risks and the rate of return on predictable results over a period of time. 2. SOURCE OF DATA AND THEORETICAL The data used in this study is comes from www.finance.yahoo.com, the market stock data, daily closing prices of state-owned banks in Indonesia for 3 years, from the period January 05 2018 to October 30, 2018. Share is a unit of a book value in various financial instruments that refers to the ownership of a company. By issuing shares, it allows companies that need longterm funding to sell the security in exchange for cash to financing the business (Darmadji, et al; 2001). Shares are sold through the primary market or secondary market. Investors can buy shares through a market called the stock exchange. State-owned enterprise (SOEs) Bank; In Indonesia, the definition of state-owned enterprises (SOEs) according to Law Number 19 of 2003 is a business entity who’s entire or part of its capital is owned by the state through direct participation derived from separated state assets. A state-owned enterprise is a bank that is fully owned, mostly, or a small part by the government and the government gives control over it. Current state-owned banks in Indonesia (www.ojk.go.id sources) are as follows: (1). Bank Mandiri (Persero) Tbk, with the stock code is BMRI; (2). Bank Negara Indonesia (Persero) Tbk, with the stock code is BBNI; (3). Bank Rakyat Indonesia (Persero) Tbk, with the stock code is BBRI; (4). Bank Tabungan Negara (Persero), with the stock code is BBTN. R Studio is a programming language and software system specifically designed as computational statistics. This programming language was first developed in 1993 by two statisticians namely Ross Ihaka and Robert Gentleman at Auckland University, New Zealand. Until now, R programming language has continued to grow rapidly along with the increasingly popular terminology "Big Data" and the increasing need for companies to data scientist to process and analyze data in the company as a basis for policy making and automating business processes as the data-driven. Investment is the planting of a certain amount of money for a certain period to receive future payments that will compensate investors for (1) the time of funds have been invested, (2) the future inflation rate, (3) future uncertainties. Shares are proof of ownership of capital / fund ownership in a company, paper that is clearly stated in nominal value, company name and followed by rights and obligations explained to each holder. In addition, stocks are inventories that are ready for sale. Return is the profit obtained by companies, individuals, and institutions from the results of investment policies carried out [4]. Value at Risk (VaR) is a market risk calculation method to determine the maximum loss risk that occur in a portfolio, either single-instrument or multi-instruments, at a certain confidence level, during a certain holding period, and under normal market conditions [5]. Risk is the potential losses that arise on investment. Risk also as the possibilities that a return will be different from the expected rate of return. Basically there are three types of risks that must be considered by investors if investments in stock securities, including Fahmi, I. (2014): (1). Systematic risk is a risk that cannot be diversified or in other words, a risk that 2018 Published by Atma Jaya Catholic University E-ISSN 2549-5860 | P-ISSN 2579-3128 129 Sitorus / Journal of Economics & Business, Vol. 02 No. 02 (2018) 128 - 141 affects overall; (2). Non-systematic risk that only affects the related company; (3). Total risk is a combination of systematic risk and unsystematic risk. So the sum of the systematic risk and unsystematic risk we will get the total risk 3. METHODOLOGY VALUE AT RISK (VAR) Value At Risk (VaR) is a market risk calculation method to determine the maximum loss risk that can occur in a portfolio, either single-instrument or multi-instruments, at a certain confidence level, during a certain holding period, and under normal market conditions (Jorion, and GARP; 2007). There are three main methods for calculating VaR, namely parametric methods (also called covariant variant methods), Monte Carlo simulation methods and historical simulations. The three methods have their own characteristics. The explanation is as bellows (Jorion.; 2007): 1. The Covariance Variant Method. This method is parametric and uses the assumption of a normal distribution. Risk factors are processed in such a way as to have a normal distribution. VaR is obtained by multiplying the standard deviation and confidence level, then the portfolio value which in this method can be calculated using the single asset method. The advantage of the variance-covariance method is calculate VaR can be simply by assuming that market factors that affect the value of assets or portfolios are normally distributed. The variant covariant formula is as below: 𝑉𝑎𝑅 = 𝑃𝑧0.95 𝜎√𝑡 Where: 𝑉𝑎𝑅: Maximum potential loss 𝜎: Volatility of return √𝑡 : Time period 2. Monte Carlo Simulation Method. This method is non-parametric because it does not use normal distribution assumptions, the difference with historical simulation is the ability of this method to produce thousands of simulation paths to produce an almost accurate of future risk factor distributions. The use of the Monte Carlo simulation method to measure risk was introduced by Boyle in 1977. In estimating Value at Risk (VaR) in both single assets and portfolios, Monte Carlo simulations have several types of algorithms. But in essence is to do a simulation by generating random numbers based on the characteristics of the data to be generated, which is then used to estimate the VaR value (Berry.; 2008). The formula for the Monte Carlo method is as follows: 𝑉𝑎𝑅 = 𝜇 − (Z 𝑥 𝜎) Where: 𝑉𝑎𝑅 : Maximum potential loss 𝜇 : Average return Z : Confidence level 𝜎 : Standard deviation 3. Historical Simulation Method. Historical simulation is non-parametric method and the easiest way to estimate Value At Risk for many portfolios. In this method, VaR for a portfolio is estimated by creating a 2018 Published by Atma Jaya Catholic University E-ISSN 2549-5860 | P-ISSN 2579-3128 130 Sitorus / Journal of Economics & Business, Vol. 02 No. 02 (2018) 128 - 141 hypothetical time series of returns obtained by running a portfolio through actual historical data and changes that have occurred in each period of a portfolio. In this method VaR is determined by actual price movements. The calculation formula for historical simulation VaR is as bellows: 𝑉𝑎𝑅(1−𝛼) = 𝜇(𝑅) − 𝑅𝛼 Dimana : 𝑉𝑎𝑅(1−𝛼) : Maximum potential loss 𝜇(𝑅) : Average value of retur 𝑅𝛼 : Maximum loss for a certain α In this journal, the author will analyze the value at risk (VaR) of state-owned bank shares with the Historical Simulation method. With the comparison of VaR from each share, it will become a tool for decision-making by investors to place more investment among these state-owned banks. Value at Risk (VaR) is calculated by using software R studio, with confidence level 95%. 4. RESULTS 4.1. Calculation of VaR of State-Owned Bank Shares Using Software of R-Studio The data used is the adjusted closing price of daily trading of state-owned bank stocks with the stock code: BMRI, BBRI, BBNI and BBTN period January 05, 2015 until October 30, 2018. The data used in this study comes from www.finance.yahoo.com with a total data distribution of 3,816 with each stock code of 954 trading days, as follows: Tabel 1: Full data trading for 3 years are attached. 2018 Published by Atma Jaya Catholic University E-ISSN 2549-5860 | P-ISSN 2579-3128 131 Sitorus / Journal of Economics & Business, Vol. 02 No. 02 (2018) 128 - 141 Date 1/5/2015 1/6/2015 1/7/2015 1/8/2015 1/9/2015 1/12/2015 1/13/2015 1/14/2015 1/15/2015 1/16/2015 1/19/2015 1/20/2015 1/21/2015 1/22/2015 1/23/2015 1/26/2015 1/27/2015 1/28/2015 1/29/2015 1/30/2015 2/2/2015 2/3/2015 2/4/2015 2/5/2015 2/6/2015 2/9/2015 2/10/2015 2/11/2015 2/12/2015 2/13/2015 2/16/2015 2/17/2015 2/18/2015 2/20/2015 2/23/2015 2/24/2015 2/25/2015 2/26/2015 2/27/2015 BMRI ADJ. CLOSE PRICE BBRI BBTN BBNI 4,600.40 4,568.46 4,621.70 4,664.30 4,738.84 4,611.05 4,579.11 4,568.46 4,643.00 4,557.81 4,568.46 4,579.11 4,674.95 4,685.60 4,845.33 4,728.19 4,717.54 4,674.95 4,674.95 4,685.60 4,792.09 4,834.68 4,845.33 4,792.09 4,834.68 4,983.77 4,951.82 5,005.07 5,015.72 5,068.96 5,015.72 4,983.77 5,079.61 5,143.51 5,058.31 5,058.31 5,068.96 5,058.31 5,111.56 1,445.63 1,436.28 1,467.44 1,492.36 1,498.59 1,464.32 1,473.67 1,464.32 1,458.09 1,442.51 1,445.63 1,433.17 1,423.82 1,430.05 1,479.90 1,479.90 1,486.13 1,458.09 1,458.09 1,454.98 1,461.21 1,464.32 1,467.44 1,458.09 1,451.86 1,454.98 1,451.86 1,458.09 1,479.90 1,495.48 1,498.59 1,495.48 1,554.68 1,585.83 1,582.72 1,595.18 1,610.76 1,613.87 1,604.52 5,264.54 5,264.54 5,308.23 5,308.23 5,373.76 5,308.23 5,373.76 5,330.07 5,373.76 5,220.85 5,220.85 5,155.32 5,220.85 5,199.01 5,330.07 5,330.07 5,417.45 5,395.61 5,373.76 5,461.14 5,461.14 5,614.05 5,679.59 5,635.90 5,832.50 6,007.26 5,941.72 5,876.19 5,876.19 5,832.50 5,832.50 5,810.66 6,029.10 6,029.10 6,050.95 6,094.63 6,094.63 6,050.95 6,007.26 1,131.86 1,108.66 1,117.94 1,122.58 1,131.86 1,117.94 1,085.47 1,039.08 1,043.72 1,034.44 1,020.53 1,020.53 937.03 955.59 946.31 918.48 927.75 937.03 927.75 923.11 927.75 927.75 927.75 923.11 1,001.97 974.14 969.50 950.95 955.59 950.95 932.39 937.03 969.50 978.78 969.50 974.14 974.14 983.42 992.70 RET BMRI -0.002309 -0.006945 0.011655 0.009217 0.015982 -0.026966 -0.006928 -0.002326 0.016317 -0.018349 0.002336 0.002331 0.020930 0.002278 0.034091 -0.024176 -0.002252 -0.009029 0.000000 0.002278 0.022727 0.008889 0.002203 -0.010989 0.008889 0.030837 -0.006410 0.010753 0.002128 0.010616 -0.010504 -0.006369 0.019231 0.012579 -0.016563 0.000000 0.002105 -0.002101 0.010526 RETURN RET BBRI RET BBTN -0.004292 -0.006465 0.021692 0.016985 0.004175 -0.022869 0.006383 -0.006342 -0.004255 -0.010684 0.002160 -0.008621 -0.006522 0.004376 0.034858 0.000000 0.004211 -0.018868 0.000000 -0.002137 0.004283 0.002132 0.002128 -0.006369 -0.004274 0.002146 -0.002141 0.004292 0.014957 0.010526 0.002083 -0.002079 0.039583 0.020040 -0.001965 0.007874 0.009766 0.001934 -0.005791 -0.004082 -0.020492 0.008368 0.004149 0.008265 -0.012295 -0.029046 -0.042735 0.004464 -0.008889 -0.013453 0.000000 -0.081818 0.019802 -0.009709 -0.029412 0.010101 0.010000 -0.009901 -0.005000 0.005025 0.000000 0.000000 -0.005000 0.085427 -0.027778 -0.004762 -0.019139 0.004878 -0.004854 -0.019512 0.004975 0.034653 0.009569 -0.009479 0.004785 0.000000 0.009524 0.009434 RET BBNI -0.012295 0.000000 0.008299 0.000000 0.012346 -0.012195 0.012346 -0.008130 0.008197 -0.028455 0.000000 -0.012552 0.012712 -0.004184 0.025210 0.000000 0.016394 -0.004032 -0.004049 0.016260 0.000000 0.028000 0.011673 -0.007692 0.034884 0.029963 -0.010909 -0.011029 0.000000 -0.007435 0.000000 -0.003745 0.037594 0.000000 0.003623 0.007220 0.000000 -0.007168 -0.007220 Graph 1: Price charts during the observation period: 2018 Published by Atma Jaya Catholic University E-ISSN 2549-5860 | P-ISSN 2579-3128 132 Sitorus / Journal of Economics & Business, Vol. 02 No. 02 (2018) 128 - 141 Based on the graph above, the movement of the four state-owned bank shares moving linearly towards the same trend with a fairly large correlation of above 88%, each other can be explained the trend of price movements, so that the stocks cannot be distinguished which are the best choices. Correlation of the graph of movement with each other can be seen as table below: Coefficient correlation BMRI BBRI BBTN BBNI BMRI 1.000000 0.970851 0.935166 0.970120 BBRI 0.970851 1.000000 0.958935 0.935756 BBTN 0.935166 0.958935 1.000000 0.882632 BBNI 0.970120 0.935756 0.882632 1.000000 What the difference of one another is the rate of return of each stock at any given period. From the closing price data of these stocks, the return of the data must be calculated in a row using the following formula: 𝑅= 𝑃𝑡 − 𝑃𝑡−1 𝑃𝑡−1 Where: R : Return of today Pt : Closing price today Pt-1 : Closing price previous day For example, the closing price of Bank Mandiri on October 30, 2018 is IDR. 6,525.00 and the closing price on October 29, 2018 is IDR. 6,400.00, then the calculation of return on that day is: 𝑅= (6.525,00 − 6.400,00) = 0,195% 6.400,00 By using the coding system in the R studio, we calculate: - Average return µ(R) - standard deviation 𝜎 return that shown as daily volatility of return - Value of percentile VaR 0,05% with confidence level 95% (Z). To calculate VaR with historical simulation method, it needs to be determined first the time horizon. In this case, the simulation for daily transactions with a calculation object is a simulation distribution of daily returns 2018 Published by Atma Jaya Catholic University E-ISSN 2549-5860 | P-ISSN 2579-3128 133 Sitorus / Journal of Economics & Business, Vol. 02 No. 02 (2018) 128 - 141 Bank Mandiri (BMRI) 2018 Published by Atma Jaya Catholic University E-ISSN 2549-5860 | P-ISSN 2579-3128 134 Sitorus / Journal of Economics & Business, Vol. 02 No. 02 (2018) 128 - 141 Bank Rakyat Indonesia (BBRI) Bank Negara Indonesia (BBNI) 2018 Published by Atma Jaya Catholic University E-ISSN 2549-5860 | P-ISSN 2579-3128 135 Sitorus / Journal of Economics & Business, Vol. 02 No. 02 (2018) 128 - 141 Bank Tabungan Negara (BBTN) 4.2. Analysis of Historical Simulation VaR Calculations After getting the daily return distribution from the four shares of the state-owned bank above, then the VaR can be calculated by using the formula: 𝑉𝑎𝑅 1 − 𝛼 = (𝑅) − 𝑅𝛼 BMRI 0.000907532 BBRI 0.000907532 BBNI 0.000907532 BBTN 0.000907532 µ (R) Standard deviation of 0.018834828 0.021083364 0.019603726 0.022953648 return 5% 5% 5% 5% Percentile -0.0305 -0.0316 -0.0325 -0.035 Rα 95% 95% 95% 95% Confidence Level 0.031407532 0.032507532 0.033407532 0.035907532 VaR value 3.141% 3.251% 3.341% 3.591% VaR value (%) If P (Investment amount IDR 100,000,000.00 IDR 100,000,000.00 IDR 100,000,000.00 IDR 100,000,000.00 assumption) IDR 3,140,753.23 IDR 3,250,753.23 IDR 3,340,753.23 IDR 3,590,753.23 VaR value (amount) From the risk perspective, it can be seen in the table that the risk value of BBTN is higher compared to the 3 other of state-owned banks. BBTN's VaR value with a 95% confidence level is 0.03590 or the maximum probability of loss is not exceed of IDR 3,590,753.23 per day if the investor invests an initial IDR 100,000,000.00 Where the risk and return are two sides that can be separate, it also can be analogized that the maximum probability return that investors get per day will not exceed IDR. 3,590,753.23 if the investor invests the initial funds of IDR. 100,000,000.00 in BBTN, while the BMRI only IDR 3,140,753.23 for the equal of the initial fund for invest. 5. CONCLUSION Based on the table of the calculation of VaR 95% above, using the historical data of the last 3 years of the stock prices of state owned banks in Indonesia, we can concluded as bellows: Decision making for investment in several stocks which is believed to be good with the same volatility, the same trend of movement, were a challenges for an investors to 2018 Published by Atma Jaya Catholic University E-ISSN 2549-5860 | P-ISSN 2579-3128 136 Sitorus / Journal of Economics & Business, Vol. 02 No. 02 (2018) 128 - 141 determine which stocks are more preferred to become investments. From the risk perspective by measuring the maximum probability of risk that will be faced in the future or VaR, it can be a consideration in making investment decisions on stocks that have the same movements and characteristics. Positive stock movements and volatility cannot yet state the level of return and risk will be positive, and vice versa. The four of state-owned bank stocks have the same average return for the past 3 years, but if seen from the value at risk with confidence level 95%, then the investment decision will be different. The VaR95% of BMRI is the smallest among the four state-owned bank in Indonesia, which means that the maximum loss probability is IDR. 3,140,753.23 Per day if an investor invests an initial fund of IDR 100 million in BMRI. If compare the risk of BMRI to the 3 other state-owned bank stocks, the risk of BBRI is higher for 11bps, the risk of BBNI is higher for 20bps and the risk of BBTN is higher for 45%. By knowing the risk level of each share of the state-owned bank in Indonesia, the investor can make a decision to invest either in a higher risk stocks or in the lower risk stock. The decisions based on the risk level that has been measured will describe investors whether risk lover or risk averse. Where the risk and return are two sides that can be separate, with the term high risk high return, the risk lover will choose investment in BBTN than compared to 3 other stocks, where higher daily volatility will have a higher probability return. In contrast to risk averse who are principled prudence would choose to invest in the stock BMRI with a lower risk level than the three other state-owned bank shares. REFERENCES Fallon, William. 1996. Calculating Value-at-Risk. Paper presented at the Wharton Financial Institution Center’s conference on Risk Management in Banking, October 13-15, 1996. Darmadji, Tjiptono; Hendy, M, Fakhruddin. Pasar Modal di Indonesia. 2001. Indonesia. Salemba Empat. Fahmi, I. (2014). Pengantar Manajemen Keuangan Teori dan Soal Jawab (3rd ed.). Bandung: ALFABETA. Jorion, P., and GARP. (2007). Financial Risk Manager Handbook (4th ed.). USA: John Wiley & Sons, Inc. Jorion, P. (2007). Value At Risk The New Benchmark for Managing Financial (3rd ed.). USA: McGraw Hill. Berry, R. (2008). Investement Analytics and Consulting (December ed.). JP Morgan Chase & Co. www. yahoo finance .com, sumber data stock historical www. ojk.go.id. pengaturan kelompok perbankan Indonesia 2018 Published by Atma Jaya Catholic University E-ISSN 2549-5860 | P-ISSN 2579-3128 137 Sitorus / Journal of Economics & Business, Vol. 02 No. 02 (2018) 128 - 141 Appendix: Table of movements in stock closing prices Date 1/5/2015 1/6/2015 1/7/2015 1/8/2015 1/9/2015 1/12/2015 1/13/2015 1/14/2015 1/15/2015 1/16/2015 1/19/2015 1/20/2015 1/21/2015 1/22/2015 1/23/2015 1/26/2015 1/27/2015 1/28/2015 1/29/2015 1/30/2015 2/2/2015 2/3/2015 2/4/2015 2/5/2015 2/6/2015 2/9/2015 2/10/2015 2/11/2015 2/12/2015 2/13/2015 2/16/2015 2/17/2015 2/18/2015 2/20/2015 2/23/2015 2/24/2015 2/25/2015 2/26/2015 2/27/2015 3/2/2015 3/3/2015 3/4/2015 3/5/2015 3/6/2015 3/9/2015 3/10/2015 3/11/2015 3/12/2015 3/13/2015 3/16/2015 3/17/2015 3/18/2015 3/19/2015 3/20/2015 3/23/2015 3/24/2015 3/25/2015 3/26/2015 3/27/2015 3/30/2015 3/31/2015 4/1/2015 4/2/2015 4/6/2015 4/7/2015 4/8/2015 4/9/2015 4/10/2015 4/13/2015 4/14/2015 4/15/2015 4/16/2015 4/17/2015 4/20/2015 BMRI ADJ. CLOSE PRICE BBRI BBTN BBNI 4,600.40 4,568.46 4,621.70 4,664.30 4,738.84 4,611.05 4,579.11 4,568.46 4,643.00 4,557.81 4,568.46 4,579.11 4,674.95 4,685.60 4,845.33 4,728.19 4,717.54 4,674.95 4,674.95 4,685.60 4,792.09 4,834.68 4,845.33 4,792.09 4,834.68 4,983.77 4,951.82 5,005.07 5,015.72 5,068.96 5,015.72 4,983.77 5,079.61 5,143.51 5,058.31 5,058.31 5,068.96 5,058.31 5,111.56 5,111.56 5,068.96 5,047.67 5,037.02 5,154.16 5,026.37 5,122.21 5,058.31 5,068.96 5,068.96 5,111.56 5,100.91 5,090.26 5,196.75 5,196.75 5,186.10 5,329.92 5,307.85 5,318.89 5,274.75 5,340.96 5,506.48 5,418.20 5,418.20 5,374.06 5,374.06 5,329.92 5,296.82 5,296.82 5,318.89 5,230.61 5,318.89 5,296.82 5,296.82 5,329.92 1,445.63 1,436.28 1,467.44 1,492.36 1,498.59 1,464.32 1,473.67 1,464.32 1,458.09 1,442.51 1,445.63 1,433.17 1,423.82 1,430.05 1,479.90 1,479.90 1,486.13 1,458.09 1,458.09 1,454.98 1,461.21 1,464.32 1,467.44 1,458.09 1,451.86 1,454.98 1,451.86 1,458.09 1,479.90 1,495.48 1,498.59 1,495.48 1,554.68 1,585.83 1,582.72 1,595.18 1,610.76 1,613.87 1,604.52 1,613.87 1,604.52 1,598.29 1,601.41 1,629.45 1,610.76 1,604.52 1,601.41 1,607.64 1,588.95 1,607.64 1,610.76 1,616.99 1,626.33 1,607.64 1,607.64 1,620.10 1,638.80 1,635.68 1,835.60 1,828.58 1,863.67 1,825.07 1,825.07 1,828.58 1,849.63 1,839.11 1,835.60 1,828.58 1,825.07 1,825.07 1,835.60 1,842.62 1,825.07 1,846.13 5,264.54 5,264.54 5,308.23 5,308.23 5,373.76 5,308.23 5,373.76 5,330.07 5,373.76 5,220.85 5,220.85 5,155.32 5,220.85 5,199.01 5,330.07 5,330.07 5,417.45 5,395.61 5,373.76 5,461.14 5,461.14 5,614.05 5,679.59 5,635.90 5,832.50 6,007.26 5,941.72 5,876.19 5,876.19 5,832.50 5,832.50 5,810.66 6,029.10 6,029.10 6,050.95 6,094.63 6,094.63 6,050.95 6,007.26 5,985.41 5,832.50 5,810.66 5,832.50 5,919.88 5,854.34 5,898.03 5,854.34 5,876.19 5,898.03 6,050.95 6,029.10 6,072.79 6,116.48 6,072.79 6,116.48 6,203.86 6,288.19 6,332.79 6,332.79 6,243.59 6,444.28 6,466.58 6,421.98 6,399.68 6,488.88 6,444.28 6,399.68 6,355.09 6,421.98 6,332.79 6,332.79 6,377.38 6,288.19 6,399.68 1,131.86 1,108.66 1,117.94 1,122.58 1,131.86 1,117.94 1,085.47 1,039.08 1,043.72 1,034.44 1,020.53 1,020.53 937.03 955.59 946.31 918.48 927.75 937.03 927.75 923.11 927.75 927.75 927.75 923.11 1,001.97 974.14 969.50 950.95 955.59 950.95 932.39 937.03 969.50 978.78 969.50 974.14 974.14 983.42 992.70 988.06 1,034.44 1,057.64 1,071.55 1,071.55 1,039.08 1,066.92 1,048.36 1,062.28 1,053.00 1,048.36 1,048.36 1,029.81 1,057.64 1,048.36 1,057.64 1,080.83 1,117.94 1,117.94 1,131.86 1,136.50 1,164.33 1,165.38 1,155.94 1,113.48 1,113.48 1,118.20 1,108.76 1,099.33 1,085.17 1,075.74 1,080.45 1,104.04 1,132.35 1,104.04 RET BMRI 2018 Published by Atma Jaya Catholic University E-ISSN 2549-5860 | P-ISSN 2579-3128 -0.002309 -0.006945 0.011655 0.009217 0.015982 -0.026966 -0.006928 -0.002326 0.016317 -0.018349 0.002336 0.002331 0.020930 0.002278 0.034091 -0.024176 -0.002252 -0.009029 0.000000 0.002278 0.022727 0.008889 0.002203 -0.010989 0.008889 0.030837 -0.006410 0.010753 0.002128 0.010616 -0.010504 -0.006369 0.019231 0.012579 -0.016563 0.000000 0.002105 -0.002101 0.010526 0.000000 -0.008333 -0.004202 -0.002110 0.023256 -0.024793 0.019068 -0.012474 0.002105 0.000000 0.008403 -0.002083 -0.002088 0.020920 0.000000 -0.002049 0.027732 -0.004141 0.002079 -0.008299 0.012552 0.030992 -0.016032 0.000000 -0.008147 0.000000 -0.008214 -0.006211 0.000000 0.004167 -0.016598 0.016878 -0.004149 0.000000 0.006250 RETURN RET BBRI RET BBTN -0.004292 -0.006465 0.021692 0.016985 0.004175 -0.022869 0.006383 -0.006342 -0.004255 -0.010684 0.002160 -0.008621 -0.006522 0.004376 0.034858 0.000000 0.004211 -0.018868 0.000000 -0.002137 0.004283 0.002132 0.002128 -0.006369 -0.004274 0.002146 -0.002141 0.004292 0.014957 0.010526 0.002083 -0.002079 0.039583 0.020040 -0.001965 0.007874 0.009766 0.001934 -0.005791 0.005825 -0.005791 -0.003883 0.001949 0.017510 -0.011472 -0.003868 -0.001942 0.003891 -0.011628 0.011765 0.001938 0.003868 0.005780 -0.011494 0.000000 0.007752 0.011538 -0.001901 0.122222 -0.003824 0.019194 -0.020716 0.000000 0.001923 0.011516 -0.005693 -0.001908 -0.003824 -0.001919 0.000000 0.005769 0.003824 -0.009524 0.011538 -0.004082 -0.020492 0.008368 0.004149 0.008265 -0.012295 -0.029046 -0.042735 0.004464 -0.008889 -0.013453 0.000000 -0.081818 0.019802 -0.009709 -0.029412 0.010101 0.010000 -0.009901 -0.005000 0.005025 0.000000 0.000000 -0.005000 0.085427 -0.027778 -0.004762 -0.019139 0.004878 -0.004854 -0.019512 0.004975 0.034653 0.009569 -0.009479 0.004785 0.000000 0.009524 0.009434 -0.004673 0.046948 0.022421 0.013158 0.000000 -0.030303 0.026786 -0.017391 0.013274 -0.008734 -0.004405 0.000000 -0.017699 0.027027 -0.008772 0.008849 0.021930 0.034335 0.000000 0.012448 0.004098 0.024490 0.000902 -0.008097 -0.036735 0.000000 0.004237 -0.008439 -0.008511 -0.012875 -0.008696 0.004386 0.021834 0.025641 -0.025000 RET BBNI -0.012295 0.000000 0.008299 0.000000 0.012346 -0.012195 0.012346 -0.008130 0.008197 -0.028455 0.000000 -0.012552 0.012712 -0.004184 0.025210 0.000000 0.016394 -0.004032 -0.004049 0.016260 0.000000 0.028000 0.011673 -0.007692 0.034884 0.029963 -0.010909 -0.011029 0.000000 -0.007435 0.000000 -0.003745 0.037594 0.000000 0.003623 0.007220 0.000000 -0.007168 -0.007220 -0.003636 -0.025547 -0.003745 0.003759 0.014981 -0.011070 0.007463 -0.007407 0.003731 0.003717 0.025926 -0.003610 0.007246 0.007194 -0.007143 0.007194 0.014286 0.013594 0.007092 0.000000 -0.014085 0.032143 0.003460 -0.006897 -0.003472 0.013937 -0.006873 -0.006920 -0.006969 0.010526 -0.013889 0.000000 0.007042 -0.013986 0.017730 138 Sitorus / Journal of Economics & Business, Vol. 02 No. 02 (2018) 128 - 141 Date 4/21/2015 4/22/2015 4/23/2015 4/24/2015 4/27/2015 4/28/2015 4/29/2015 4/30/2015 5/4/2015 5/5/2015 5/6/2015 5/7/2015 5/8/2015 5/11/2015 5/12/2015 5/13/2015 5/15/2015 5/18/2015 5/19/2015 5/20/2015 5/21/2015 5/22/2015 5/25/2015 5/26/2015 5/27/2015 5/28/2015 5/29/2015 6/1/2015 6/3/2015 6/4/2015 6/5/2015 6/8/2015 6/9/2015 6/10/2015 6/11/2015 6/12/2015 6/15/2015 6/16/2015 6/17/2015 6/18/2015 6/19/2015 6/22/2015 6/23/2015 6/24/2015 6/25/2015 6/26/2015 6/29/2015 6/30/2015 7/1/2015 7/2/2015 7/3/2015 7/6/2015 7/7/2015 7/8/2015 7/9/2015 7/10/2015 7/13/2015 7/14/2015 7/15/2015 7/22/2015 7/23/2015 7/24/2015 7/27/2015 7/28/2015 7/29/2015 7/30/2015 7/31/2015 8/3/2015 8/4/2015 8/5/2015 8/6/2015 8/7/2015 8/10/2015 8/11/2015 8/12/2015 8/13/2015 8/14/2015 8/18/2015 8/19/2015 8/20/2015 BMRI ADJ. CLOSE PRICE BBRI BBTN BBNI 5,363.03 5,307.85 5,296.82 5,252.68 4,965.77 4,811.28 4,656.79 4,745.07 4,932.66 4,954.73 5,031.98 4,932.66 4,932.66 4,910.59 4,976.80 4,965.77 4,833.35 4,899.56 4,943.70 4,976.80 5,131.29 5,043.01 4,921.63 4,910.59 4,855.42 4,767.14 4,756.10 4,723.00 4,656.79 4,645.75 4,711.96 4,546.44 4,391.94 4,358.84 4,270.56 4,369.87 4,160.21 4,215.38 4,336.77 4,270.56 4,414.02 4,402.98 4,436.08 4,369.87 4,414.02 4,458.15 4,425.05 4,436.08 4,414.02 4,447.12 4,491.26 4,380.91 4,480.23 4,391.94 4,369.87 4,414.02 4,436.08 4,469.19 4,414.02 4,590.58 4,458.15 4,414.02 4,215.38 4,138.14 4,193.31 4,204.35 4,204.35 4,281.59 4,204.35 4,325.73 4,325.73 4,259.52 4,204.35 4,038.82 3,884.33 4,016.75 3,972.61 3,884.33 3,840.19 3,840.19 1,853.14 1,849.63 1,832.09 1,818.05 1,688.19 1,667.13 1,632.03 1,632.03 1,632.03 1,642.56 1,649.58 1,632.03 1,635.54 1,653.09 1,688.19 1,709.25 1,656.60 1,684.68 1,723.28 1,751.36 1,789.97 1,768.91 1,733.81 1,737.32 1,677.66 1,660.11 1,653.09 1,646.07 1,579.38 1,561.84 1,586.40 1,544.29 1,470.58 1,460.05 1,421.45 1,456.54 1,424.96 1,481.11 1,544.29 1,512.70 1,551.31 1,537.27 1,516.21 1,446.01 1,431.98 1,470.58 1,456.54 1,453.03 1,481.11 1,526.74 1,519.72 1,460.05 1,470.58 1,435.49 1,446.01 1,470.58 1,470.58 1,474.09 1,421.45 1,453.03 1,438.99 1,417.94 1,372.31 1,319.66 1,333.70 1,312.64 1,403.90 1,467.07 1,460.05 1,516.21 1,512.70 1,481.11 1,484.62 1,424.96 1,361.78 1,407.41 1,435.49 1,375.82 1,389.86 1,365.29 6,399.68 6,332.79 6,355.09 6,199.00 5,797.62 5,931.41 5,819.92 5,730.73 5,775.32 5,797.62 5,842.22 5,976.01 5,931.41 5,931.41 6,020.61 6,087.50 5,998.31 5,953.71 6,020.61 6,042.91 6,243.59 6,310.49 6,288.19 6,199.00 6,109.80 6,154.40 6,132.10 5,931.41 5,686.13 5,530.04 5,552.34 5,373.95 5,173.26 5,128.67 4,972.58 5,017.17 4,794.19 4,905.68 5,039.47 4,927.98 4,972.58 4,994.87 4,972.58 4,905.68 4,771.89 4,704.99 4,682.70 4,727.29 4,727.29 4,972.58 5,017.17 4,861.08 4,950.28 4,816.49 4,771.89 4,861.08 4,883.38 4,727.29 4,526.61 4,615.80 4,548.90 4,459.71 4,325.92 4,232.26 4,138.61 3,995.90 4,245.64 4,294.70 4,276.86 4,548.90 4,615.80 4,459.71 4,361.60 4,160.91 4,022.66 4,129.69 4,080.63 3,871.03 3,942.38 3,942.38 1,113.48 1,089.89 1,089.89 1,089.89 1,023.84 1,056.86 1,052.15 1,052.15 1,061.58 1,042.71 1,052.15 1,047.43 1,033.27 1,028.55 1,037.99 1,080.45 1,056.86 1,080.45 1,104.04 1,113.48 1,151.23 1,151.23 1,127.64 1,141.79 1,165.38 1,151.23 1,137.07 1,108.76 1,075.74 1,061.58 1,085.17 1,061.58 1,028.55 1,056.86 1,061.58 1,061.58 1,028.55 1,037.99 1,066.30 1,052.15 1,066.30 1,061.58 1,075.74 1,061.58 1,118.20 1,104.04 1,118.20 1,122.92 1,122.92 1,132.35 1,146.51 1,104.04 1,122.92 1,113.48 1,127.64 1,113.48 1,089.89 1,094.61 1,099.33 1,127.64 1,113.48 1,122.92 1,113.48 1,132.35 1,118.20 1,108.76 1,104.04 1,104.04 1,104.04 1,165.38 1,146.51 1,127.64 1,127.64 1,104.04 1,037.99 1,089.89 1,080.45 1,075.74 1,066.30 1,028.55 RET BMRI 0.006211 -0.010288 -0.002079 -0.008333 -0.054622 -0.031111 -0.032110 0.018957 0.039535 0.004474 0.015590 -0.019737 0.000000 -0.004474 0.013483 -0.002217 -0.026667 0.013699 0.009009 0.006696 0.031042 -0.017204 -0.024070 -0.002242 -0.011236 -0.018182 -0.002315 -0.006960 -0.014019 -0.002369 0.014252 -0.035129 -0.033981 -0.007538 -0.020253 0.023256 -0.047980 0.013263 0.028796 -0.015267 0.033592 -0.002500 0.007519 -0.014925 0.010101 0.010000 -0.007426 0.002494 -0.004975 0.007500 0.009926 -0.024570 0.022670 -0.019705 -0.005025 0.010101 0.005000 0.007463 -0.012346 0.040000 -0.028846 -0.009901 -0.045000 -0.018325 0.013333 0.002631 0.000000 0.018373 -0.018041 0.028871 0.000000 -0.015306 -0.012953 -0.039370 -0.038251 0.034091 -0.010989 -0.022222 -0.011364 0.000000 2018 Published by Atma Jaya Catholic University E-ISSN 2549-5860 | P-ISSN 2579-3128 RETURN RET BBRI RET BBTN 0.003802 -0.001894 -0.009488 -0.007663 -0.071429 -0.012474 -0.021053 0.000000 0.000000 0.006452 0.004274 -0.010638 0.002150 0.010730 0.021231 0.012474 -0.030801 0.016949 0.022917 0.016293 0.022044 -0.011765 -0.019841 0.002024 -0.034343 -0.010460 -0.004228 -0.004246 -0.040512 -0.011111 0.015730 -0.026549 -0.047727 -0.007160 -0.026442 0.024691 -0.021687 0.039409 0.042654 -0.020455 0.025522 -0.009050 -0.013699 -0.046296 -0.009709 0.026961 -0.009546 -0.002410 0.019324 0.030806 -0.004598 -0.039261 0.007212 -0.023866 0.007335 0.016990 0.000000 0.002387 -0.035714 0.022222 -0.009662 -0.014634 -0.032178 -0.038363 0.010638 -0.015789 0.069519 0.045000 -0.004785 0.038462 -0.002315 -0.020882 0.002370 -0.040189 -0.044335 0.033505 0.019950 -0.041565 0.010204 -0.017677 0.008547 -0.021186 0.000000 0.000000 -0.060606 0.032258 -0.004464 0.000000 0.008969 -0.017778 0.009050 -0.004484 -0.013514 -0.004566 0.009174 0.040909 -0.021834 0.022322 0.021834 0.008547 0.033898 0.000000 -0.020492 0.012552 0.020661 -0.012146 -0.012295 -0.024896 -0.029787 -0.013158 0.022222 -0.021739 -0.031111 0.027523 0.004464 0.000000 -0.031111 0.009174 0.027273 -0.013274 0.013453 -0.004425 0.013333 -0.013158 0.053333 -0.012658 0.012821 0.004219 0.000000 0.008403 0.012500 -0.037037 0.017094 -0.008403 0.012712 -0.012552 -0.021186 0.004329 0.004310 0.025751 -0.012552 0.008474 -0.008403 0.016949 -0.012500 -0.008439 -0.004255 0.000000 0.000000 0.055556 -0.016194 -0.016461 0.000000 -0.020921 -0.059829 0.050000 -0.008658 -0.004367 -0.008772 -0.035398 RET BBNI 0.000000 -0.010453 0.003521 -0.024561 -0.064748 0.023077 -0.018797 -0.015326 0.007782 0.003861 0.007692 0.022901 -0.007463 0.000000 0.015038 0.011111 -0.014652 -0.007435 0.011236 0.003704 0.033210 0.010714 -0.003534 -0.014184 -0.014389 0.007299 -0.003623 -0.032727 -0.041353 -0.027451 0.004032 -0.032128 -0.037344 -0.008621 -0.030435 0.008969 -0.044445 0.023256 0.027273 -0.022124 0.009050 0.004484 -0.004464 -0.013453 -0.027273 -0.014019 -0.004739 0.009524 0.000000 0.051887 0.008969 -0.031111 0.018349 -0.027027 -0.009259 0.018692 0.004587 -0.031963 -0.042453 0.019704 -0.014493 -0.019608 -0.030000 -0.021649 -0.022129 -0.034483 0.062500 0.011555 -0.004154 0.063608 0.014706 -0.033816 -0.022000 -0.046012 -0.033226 0.026607 -0.011879 -0.051366 0.018433 0.000000 139 Sitorus / Journal of Economics & Business, Vol. 02 No. 02 (2018) 128 - 141 Date 8/20/2015 8/21/2015 8/24/2015 8/25/2015 8/26/2015 8/27/2015 8/28/2015 8/31/2015 9/1/2015 9/2/2015 9/3/2015 9/4/2015 9/7/2015 9/8/2015 9/9/2015 9/10/2015 9/11/2015 9/14/2015 9/15/2015 9/16/2015 9/17/2015 9/18/2015 9/21/2015 9/22/2015 9/23/2015 9/25/2015 9/28/2015 9/29/2015 9/30/2015 10/1/2015 10/2/2015 10/5/2015 10/6/2015 10/7/2015 10/8/2015 10/9/2015 10/12/2015 10/13/2015 10/15/2015 10/16/2015 10/19/2015 10/20/2015 10/21/2015 10/22/2015 10/23/2015 10/26/2015 10/27/2015 10/28/2015 10/29/2015 10/30/2015 11/2/2015 11/3/2015 11/4/2015 11/5/2015 11/6/2015 11/9/2015 11/10/2015 11/11/2015 11/12/2015 11/13/2015 11/16/2015 11/17/2015 11/18/2015 11/19/2015 11/20/2015 11/23/2015 11/24/2015 11/25/2015 11/26/2015 11/27/2015 11/30/2015 12/1/2015 12/2/2015 12/3/2015 12/4/2015 12/7/2015 12/8/2015 12/9/2015 12/10/2015 12/11/2015 12/14/2015 12/15/2015 12/16/2015 BMRI ADJ. CLOSE PRICE BBRI BBTN BBNI 3,840.19 3,751.91 3,608.46 3,751.91 3,773.98 3,972.61 4,005.72 4,016.75 3,851.23 3,884.33 3,895.37 3,895.37 3,862.26 3,884.33 3,840.19 3,796.05 3,818.12 3,818.12 3,840.19 3,818.12 3,818.12 3,818.12 3,796.05 3,796.05 3,553.28 3,409.83 3,321.55 3,431.90 3,498.11 3,520.18 3,387.76 3,619.49 3,928.47 3,939.51 3,928.47 4,016.75 4,049.86 3,950.54 3,928.47 3,939.51 4,038.82 4,082.96 4,071.93 4,049.86 4,149.17 4,226.42 4,259.52 4,171.24 3,972.61 3,840.19 3,773.98 3,906.40 4,016.75 3,961.58 3,961.58 3,840.19 3,707.77 3,608.46 3,696.74 3,829.16 3,751.91 3,807.09 3,807.09 3,873.30 3,829.16 3,851.23 3,840.19 3,939.51 4,094.00 3,961.58 3,751.91 3,928.47 3,928.47 3,884.33 3,862.26 4,016.75 3,972.61 3,972.61 3,917.44 3,862.26 3,807.09 3,862.26 3,950.54 1,365.29 1,333.70 1,284.57 1,333.70 1,368.80 1,474.09 1,460.05 1,491.64 1,417.94 1,431.98 1,424.96 1,414.43 1,372.31 1,393.37 1,393.37 1,354.76 1,347.74 1,351.25 1,351.25 1,347.74 1,407.41 1,372.31 1,337.21 1,312.64 1,235.43 1,200.33 1,165.23 1,172.25 1,214.37 1,224.90 1,217.88 1,281.06 1,326.68 1,382.84 1,400.39 1,481.11 1,516.21 1,407.41 1,421.45 1,446.01 1,463.56 1,491.64 1,481.11 1,502.17 1,572.37 1,628.52 1,628.52 1,558.33 1,509.19 1,477.60 1,442.50 1,502.17 1,551.31 1,505.68 1,502.17 1,484.62 1,467.07 1,470.58 1,477.60 1,477.60 1,477.60 1,530.25 1,537.27 1,540.78 1,544.29 1,544.29 1,551.31 1,610.97 1,610.97 1,586.40 1,512.70 1,579.38 1,582.89 1,582.89 1,586.40 1,551.31 1,530.25 1,530.25 1,526.74 1,519.72 1,498.66 1,509.19 1,593.42 3,942.38 3,835.35 3,679.26 3,879.95 4,018.20 4,419.57 4,459.71 4,415.11 4,245.64 4,192.13 4,178.75 4,102.93 4,004.82 4,205.51 4,160.91 4,000.36 3,929.00 3,969.14 3,888.87 3,848.73 3,879.95 3,821.97 3,862.11 3,835.35 3,817.51 3,665.88 3,514.25 3,630.20 3,688.18 3,741.70 3,697.10 3,924.54 4,044.96 4,192.13 4,308.08 4,482.01 4,482.01 4,312.54 4,482.01 4,548.90 4,571.20 4,638.10 4,660.40 4,660.40 4,704.99 4,727.29 4,615.80 4,482.01 4,294.70 4,241.18 4,294.70 4,415.11 4,459.71 4,410.65 4,294.70 4,348.22 4,308.08 4,281.32 4,424.03 4,317.00 4,299.16 4,459.71 4,482.01 4,638.10 4,638.10 4,638.10 4,593.50 4,615.80 4,571.20 4,441.87 4,254.56 4,432.95 4,446.33 4,450.79 4,419.57 4,459.71 4,455.25 4,455.25 4,459.71 4,397.27 4,281.32 4,272.40 4,459.71 1,028.55 962.50 891.73 934.19 920.04 990.81 1,000.25 1,004.96 948.35 967.22 967.22 971.94 957.78 971.94 976.65 953.06 953.06 953.06 938.91 953.06 1,009.68 990.81 976.65 971.94 967.22 986.09 943.63 938.91 938.91 957.78 943.63 976.65 1,000.25 995.53 1,014.40 1,033.27 1,071.02 1,047.43 1,094.61 1,080.45 1,113.48 1,094.61 1,094.61 1,099.33 1,118.20 1,118.20 1,141.79 1,146.51 1,113.48 1,118.20 1,104.04 1,132.35 1,132.35 1,099.33 1,080.45 1,047.43 1,056.86 1,056.86 1,127.64 1,122.92 1,108.76 1,127.64 1,141.79 1,170.10 1,155.94 1,151.23 1,160.66 1,170.10 1,198.41 1,212.56 1,198.41 1,212.56 1,207.84 1,212.56 1,198.41 1,226.72 1,207.84 1,207.84 1,207.84 1,207.84 1,188.97 1,207.84 1,222.00 RET BMRI 0.000000 -0.022989 -0.038235 0.039755 0.005882 0.052632 0.008333 0.002755 -0.041209 0.008596 0.002841 0.000000 -0.008499 0.005714 -0.011364 -0.011494 0.005814 0.000000 0.005780 -0.005747 0.000000 0.000000 -0.005780 0.000000 -0.063953 -0.040373 -0.025890 0.033223 0.019293 0.006309 -0.037618 0.068404 0.085366 0.002809 -0.002801 0.022472 0.008242 -0.024523 -0.005587 0.002809 0.025210 0.010929 -0.002703 -0.005420 0.024523 0.018617 0.007833 -0.020725 -0.047619 -0.033333 -0.017241 0.035088 0.028249 -0.013736 0.000000 -0.030641 -0.034483 -0.026786 0.024465 0.035821 -0.020173 0.014706 0.000000 0.017391 -0.011396 0.005764 -0.002865 0.025862 0.039216 -0.032345 -0.052925 0.047059 0.000000 -0.011236 -0.005682 0.040000 -0.010989 0.000000 -0.013889 -0.014085 -0.014286 0.014493 0.022857 2018 Published by Atma Jaya Catholic University E-ISSN 2549-5860 | P-ISSN 2579-3128 RETURN RET BBRI RET BBTN -0.017677 -0.023136 -0.036842 0.038251 0.026316 0.076923 -0.009524 0.021635 -0.049412 0.009901 -0.004902 -0.007389 -0.029777 0.015345 0.000000 -0.027708 -0.005181 0.002604 0.000000 -0.002597 0.044271 -0.024938 -0.025576 -0.018373 -0.058823 -0.028409 -0.029240 0.006024 0.035928 0.008671 -0.005731 0.051873 0.035616 0.042328 0.012690 0.057644 0.023697 -0.071759 0.009975 0.017284 0.012136 0.019185 -0.007059 0.014218 0.046729 0.035714 0.000000 -0.043103 -0.031531 -0.020930 -0.023753 0.041363 0.032710 -0.029412 -0.002331 -0.011682 -0.011820 0.002392 0.004773 0.000000 0.000000 0.035629 0.004587 0.002283 0.002278 0.000000 0.004545 0.038462 0.000000 -0.015251 -0.046460 0.044083 0.002222 0.000000 0.002217 -0.022124 -0.013575 0.000000 -0.002294 -0.004598 -0.013857 0.007026 0.055814 -0.035398 -0.064220 -0.073530 0.047619 -0.015152 0.076923 0.009524 0.004717 -0.056338 0.019900 0.000000 0.004878 -0.014563 0.014778 0.004854 -0.024155 0.000000 0.000000 -0.014851 0.015075 0.059406 -0.018692 -0.014286 -0.004831 -0.004854 0.019512 -0.043062 -0.005000 0.000000 0.020101 -0.014778 0.035000 0.024155 -0.004717 0.018957 0.018605 0.036530 -0.022026 0.045045 -0.012931 0.030568 -0.016949 0.000000 0.004310 0.017167 0.000000 0.021097 0.004132 -0.028806 0.004237 -0.012658 0.025641 0.000000 -0.029167 -0.017167 -0.030568 0.009009 0.000000 0.066964 -0.004184 -0.012605 0.017021 0.012552 0.024793 -0.012097 -0.004082 0.008197 0.008130 0.024194 0.011811 -0.011673 0.011811 -0.003891 0.003906 -0.011673 0.023622 -0.015385 0.000000 0.000000 0.000000 -0.015625 0.015873 0.011719 RET BBNI 0.000000 -0.027149 -0.040698 0.054545 0.035632 0.099889 0.009082 -0.010000 -0.038384 -0.012605 -0.003191 -0.018143 -0.023913 0.050111 -0.010604 -0.038585 -0.017837 0.010216 -0.020225 -0.010321 0.008111 -0.014943 0.010502 -0.006928 -0.004651 -0.039720 -0.041363 0.032995 0.015970 0.014510 -0.011919 0.061520 0.030682 0.036384 0.027660 0.040373 0.000000 -0.037811 0.039297 0.014925 0.004902 0.014634 0.004808 0.000000 0.009569 0.004739 -0.023585 -0.028986 -0.041791 -0.012461 0.012618 0.028037 0.010101 -0.011000 -0.026289 0.012461 -0.009231 -0.006211 0.033333 -0.024194 -0.004132 0.037344 0.005000 0.034826 0.000000 0.000000 -0.009616 0.004854 -0.009662 -0.028293 -0.042169 0.041929 0.003018 0.001003 -0.007014 0.009082 -0.001000 0.000000 0.001001 -0.014000 -0.026369 -0.002083 0.043841 140 Sitorus / Journal of Economics & Business, Vol. 02 No. 02 (2018) 128 - 141 Date 8/2/2018 8/3/2018 8/6/2018 8/7/2018 8/8/2018 8/9/2018 8/10/2018 8/13/2018 8/14/2018 8/15/2018 8/16/2018 8/17/2018 8/20/2018 8/21/2018 8/22/2018 8/23/2018 8/24/2018 8/27/2018 8/28/2018 8/29/2018 8/30/2018 8/31/2018 9/3/2018 9/4/2018 9/5/2018 9/6/2018 9/7/2018 9/10/2018 9/11/2018 9/12/2018 9/13/2018 9/14/2018 9/17/2018 9/18/2018 9/19/2018 9/20/2018 9/21/2018 9/24/2018 9/25/2018 9/26/2018 9/27/2018 9/28/2018 10/1/2018 10/2/2018 10/3/2018 10/4/2018 10/5/2018 10/8/2018 10/9/2018 10/10/2018 10/11/2018 10/12/2018 10/15/2018 10/16/2018 10/17/2018 10/18/2018 10/19/2018 10/22/2018 10/23/2018 10/24/2018 10/25/2018 10/26/2018 10/29/2018 10/30/2018 BMRI ADJ. CLOSE PRICE BBRI BBTN BBNI 7,050.00 7,200.00 7,300.00 7,200.00 7,325.00 7,275.00 7,350.00 6,925.00 6,725.00 6,800.00 6,700.00 6,700.00 6,725.00 6,700.00 6,700.00 6,850.00 6,775.00 6,975.00 7,000.00 7,000.00 6,850.00 6,900.00 6,700.00 6,575.00 6,325.00 6,550.00 6,625.00 6,575.00 6,575.00 6,375.00 6,575.00 6,750.00 6,450.00 6,375.00 6,400.00 6,675.00 6,850.00 6,750.00 6,625.00 6,600.00 6,625.00 6,725.00 6,700.00 6,450.00 6,500.00 6,225.00 6,275.00 6,200.00 6,350.00 6,475.00 6,275.00 6,400.00 6,375.00 6,500.00 6,575.00 6,500.00 6,450.00 6,450.00 6,425.00 6,325.00 6,475.00 6,450.00 6,400.00 6,525.00 3,250.00 3,330.00 3,410.00 3,350.00 3,330.00 3,330.00 3,390.00 3,140.00 3,130.00 3,210.00 3,050.00 3,050.00 3,180.00 3,150.00 3,150.00 3,270.00 3,270.00 3,380.00 3,330.00 3,290.00 3,190.00 3,180.00 3,170.00 3,110.00 2,930.00 2,960.00 3,030.00 2,970.00 2,970.00 2,910.00 3,000.00 3,070.00 2,970.00 2,940.00 3,000.00 3,090.00 3,120.00 3,010.00 3,030.00 2,990.00 3,070.00 3,150.00 3,180.00 3,110.00 3,100.00 3,000.00 2,980.00 2,970.00 3,020.00 3,010.00 2,910.00 2,950.00 3,000.00 3,000.00 3,070.00 3,090.00 3,020.00 3,050.00 3,020.00 2,950.00 3,000.00 2,990.00 2,950.00 3,030.00 7,800.00 7,900.00 8,200.00 8,100.00 8,100.00 7,950.00 7,975.00 7,400.00 7,300.00 7,375.00 7,075.00 7,075.00 7,275.00 7,375.00 7,375.00 7,550.00 7,425.00 7,675.00 7,875.00 7,850.00 7,625.00 7,800.00 7,850.00 7,500.00 7,075.00 7,275.00 7,350.00 7,275.00 7,275.00 7,125.00 7,350.00 7,525.00 7,225.00 7,225.00 7,175.00 7,300.00 7,650.00 7,375.00 7,350.00 7,325.00 7,350.00 7,400.00 7,500.00 7,275.00 7,250.00 6,900.00 6,875.00 6,825.00 6,825.00 6,950.00 6,725.00 6,925.00 7,050.00 7,250.00 7,325.00 7,200.00 7,175.00 7,175.00 7,125.00 7,050.00 7,075.00 7,100.00 7,075.00 7,175.00 2,410.00 2,450.00 2,660.00 2,660.00 2,620.00 2,760.00 2,810.00 2,630.00 2,530.00 2,580.00 2,490.00 2,490.00 2,510.00 2,560.00 2,560.00 2,640.00 2,630.00 2,770.00 2,810.00 2,860.00 2,860.00 2,750.00 2,750.00 2,650.00 2,480.00 2,540.00 2,620.00 2,560.00 2,560.00 2,530.00 2,600.00 2,680.00 2,590.00 2,590.00 2,590.00 2,620.00 2,680.00 2,640.00 2,650.00 2,640.00 2,650.00 2,630.00 2,630.00 2,540.00 2,540.00 2,400.00 2,410.00 2,410.00 2,410.00 2,420.00 2,300.00 2,340.00 2,340.00 2,340.00 2,420.00 2,420.00 2,370.00 2,340.00 2,300.00 2,170.00 2,180.00 2,140.00 2,050.00 2,100.00 RET BMRI 0.007143 0.021277 0.013889 -0.013699 0.017361 -0.006826 0.010309 -0.057823 -0.028881 0.011152 -0.014706 0.000000 0.003731 -0.003717 0.000000 0.022388 -0.010949 0.029520 0.003584 0.000000 -0.021429 0.007299 -0.028986 -0.018657 -0.038023 0.035573 0.011450 -0.007547 0.000000 -0.030418 0.031373 0.026616 -0.044444 -0.011628 0.003922 0.042969 0.026217 -0.014599 -0.018519 -0.003774 0.003788 0.015094 -0.003717 -0.037313 0.007752 -0.042308 0.008032 -0.011952 0.024194 0.019685 -0.030888 0.019920 -0.003906 0.019608 0.011538 -0.011407 -0.007692 0.000000 -0.003876 -0.015564 0.023715 -0.003861 -0.007752 0.019531 2018 Published by Atma Jaya Catholic University E-ISSN 2549-5860 | P-ISSN 2579-3128 RETURN RET BBRI RET BBTN 0.018809 0.024615 0.024024 -0.017595 -0.005970 0.000000 0.018018 -0.073746 -0.003185 0.025559 -0.049844 0.000000 0.042623 -0.009434 0.000000 0.038095 0.000000 0.033639 -0.014793 -0.012012 -0.030395 -0.003135 -0.003145 -0.018927 -0.057878 0.010239 0.023649 -0.019802 0.000000 -0.020202 0.030928 0.023333 -0.032573 -0.010101 0.020408 0.030000 0.009709 -0.035256 0.006645 -0.013201 0.026756 0.026059 0.009524 -0.022013 -0.003215 -0.032258 -0.006667 -0.003356 0.016835 -0.003311 -0.033223 0.013746 0.016949 0.000000 0.023333 0.006515 -0.022654 0.009934 -0.009836 -0.023179 0.016949 -0.003333 -0.013378 0.027119 -0.020325 0.016598 0.085714 0.000000 -0.015038 0.053435 0.018116 -0.064057 -0.038023 0.019763 -0.034884 0.000000 0.008032 0.019920 0.000000 0.031250 -0.003788 0.053232 0.014440 0.017794 0.000000 -0.038462 0.000000 -0.036364 -0.064151 0.024194 0.031496 -0.022901 0.000000 -0.011719 0.027668 0.030769 -0.033582 0.000000 0.000000 0.011583 0.022901 -0.014925 0.003788 -0.003774 0.003788 -0.007547 0.000000 -0.034221 0.000000 -0.055118 0.004167 0.000000 0.000000 0.004149 -0.049587 0.017391 0.000000 0.000000 0.034188 0.000000 -0.020661 -0.012658 -0.017094 -0.056522 0.004608 -0.018349 -0.042056 0.024390 RET BBNI -0.003195 0.012821 0.037975 -0.012195 0.000000 -0.018519 0.003145 -0.072100 -0.013514 0.010274 -0.040678 0.000000 0.028269 0.013746 0.000000 0.023729 -0.016556 0.033670 0.026059 -0.003175 -0.028662 0.022951 0.006410 -0.044586 -0.056667 0.028269 0.010309 -0.010204 0.000000 -0.020619 0.031579 0.023810 -0.039867 0.000000 -0.006920 0.017422 0.047945 -0.035948 -0.003390 -0.003401 0.003413 0.006803 0.013514 -0.030000 -0.003436 -0.048276 -0.003623 -0.007273 0.000000 0.018315 -0.032374 0.029740 0.018051 0.028369 0.010345 -0.017065 -0.003472 0.000000 -0.006969 -0.010526 0.003546 0.003534 -0.003521 0.014134 141