scholarly journals A Markov Switching Vector Error Correction Model on Oil Price and Gold Price Effect on Stock Market Returns

2013 ◽  
Vol 5 (7) ◽  
pp. 331-336
Author(s):  
Seuk Wai Phoong ◽  
Siok Kun Sek .
Keyword(s):  
Stock Market ◽  
Error Correction ◽  
Markov Switching ◽  
Oil Price ◽  
Vector Error Correction Model ◽  
Stock Market Index ◽  
Correction Model ◽  
Vector Error Correction ◽  
Market Index ◽  
Vector Error

Stock market index represent a country growth and always as an interest for economist and statisticians. In this paper, the effect of oil price and gold price on stock market index on Malaysia, Singapore, Thailand and Indonesia are investigated and a two-regime Markov Switching Vector Error Correction model is used to examine the nonlinear properties model. Moreover, a two regime mean adjusted Markov Switching Vector Error Correction model is used in the study to capture the filtered and smoothed probabilities of the time series sequence in the economic model. Results found that the oil price and gold price affect the movement of the Malaysia, Singapore, Thailand and Indonesia stock market index and there is an asymmetric cycle since 97% of the total sample size is recorded in the growth state.

scholarly journals Analysis of Stock Market Integration Among ASEAN Countries by Using Vector Error Correction Model (VECM) Approach

2020 ◽  
Author(s):  
Reni Lestari
Keyword(s):  
Stock Market ◽  
Error Correction ◽  
Stock Exchange ◽  
Error Correction Model ◽  
Stock Index ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error

Globalization has driven the economy of countries to relate to each other. It brings relationships in the capital among countries in the world, especially in ASEAN region countries. This study aimed to analyze the integration of the stock market among countries in the ASEAN region. The stock market was analyzed are the Indonesia Stock Exchange, Malaysia Stock Exchange, Singapore Stock Exchange, Thailand Stock Exchange, Vietnam Stock Exchange, and Philippine Stock Exchange. This study using the Vector Error Correction Model (VECM) as the method. The result of this study shows that, in the long term Singapore Stock Index (STI), Malaysia Stock Index (KLSE), Philippines (PSEi), and Indonesia Stock Index (JKSE) are positively correlated. This means the change of stock index price in one country will affect other related countries in the long term. In the short term of VECM estimation, found the Vietnam Stock Index (VNI), Singapore Stock Exchange (STI), Philippine (PSEi) are positively correlated and negatively correlated with Thailand Stock Exchange (SET). For the managerial implication, the result of this study is expected as a reference or basis of consideration of investment decisions. This because long-term stock market movements are important because they impact international portfolio management and risk diversification.

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