Autoregression Vector Prediction on Banking Stock Return using CAPM Model Approach and Multi-Factor APT (IJCIET)
This study aims to predict banking stock returns in Indonesia. The problem under study is the difficulty of determining banking stock returns. This study uses the VAR approach by comparing CAPM and APT. The results show the CAPM (Capital Asset Pricing Model) method through RF (Return Risk-Free Assets) is more accurate in predicting stock returns than the APT (Arbitrage Pricing Theory) method. In the medium term, the CAPM (Capital Asset Pricing Model) method through RF (Return Risk-Free Assets) is more accurate in predicting stock returns than the APT (Arbitrage Pricing Theory) method. In the long run, the CAPM (Capital Asset Pricing Model) method is also more accurate in predicting stock returns than the APT (Arbitrage Pricing Theory) method. Model specifications formed using the Roots of Characteristic Polynomial and Inverse Roots of AR Characteristic Polynomial obtained stable results; it can be shown that all roots units are in the Inverse Roots of AR Characteristic Polynomial circle.