The purpose of this study is to obtain a predictive pattern of the integration of ASEAN financial markets with the Multifactor Arbitrage Pricing Theory (APT) approach. The specific target in this study is Analyzing the effectiveness of the Multifactor APT Model in forming a predictive pattern of financial market integration in Southeast Asian countries, both in the short, medium and long-term. Establish the fastest and most appropriate ASEAN country in predicting financial market integration in Southeast Asian countries, both in the short, medium and long-term. The hypothesis in this study is that the Multifactor APT model is useful in forming a predictive pattern of financial market integration in Southeast Asian countries. Indonesia is the fastest and appropriate ASEAN country to use in predicting the occurrence of financial market integration in Southeast Asian countries. The data analysis model used is Vector Autoregression (VAR), Impulse Response Function (IRF), Forecast Error Variance Decomposition (FEVD). The assumption test used is Stationarity Test, Cointegration Test, Lag Stability Test, VAR Structure and Determination of Optimal Lag Levels. The results of data analysis with VAR are expected to be able to form a pattern of predictions of effective financial market integration in ASEAN countries. Varian Decomposition results can determine which ASEAN countries are the fastest and most appropriate in predicting the occurrence of financial market integration in Southeast Asian countries, both in the short, medium and long-term.
The Environmental Effects of Financial Market Development in East Asian and Southeast Asian Countries
