Investment Decision Using Capital Asset Pricing Model (CAPM) in Indonesia’s Banking Sector

Abstract

The focus of this research was to determine and investigate the application of the Capital Asset Pricing Modeling (CAPM) technique in analyzing investment decisions in particular banking stocks that specialize in digital banking operating models. Investors generally follow the IT or digital sector (Tech stocks) due to the sector's track record of delivering high returns and the promise for even greater returns in the future. In the banking sector, investors continue to pursue digital bank stocks as their holdings because they believe they may create value and expand. Six digital banking stocks were chosen for this study, all of which are listed on the Indonesian Stock Exchange and have an observation period of April 2021 to March 2022. These stocks are Bank Jago Tbk, Bank Neo Commerce Tbk, Bank Danamon Tbk, Bank Permata Tbk, Bank BTPN Tbk, and Bank OCBC NISP Tbk. This research uses linear regression analysis to determine the beta coefficient for the Capital Asset Pricing Modeling (CAPM) method and compares the expected return to the stock market's rate of return during the observation period in order to further differentiate between undervalued and overvalued stocks. The study found that two of the six digital banking companies had higher returns than expected (undervalued/efficient stocks), namely Bank Jago and Bank Neo Commerce, with the remaining four categorized as overvalued/inefficient.