Test FOR Dynamic Relationship between Financial Development and Economic Growth in Malaysia: A Vector Error Correction Modeling Approach
Rosilawati Amiruddin, Abu Hassan Shaari Mohd Nor, Ismadi Ismail
Abstract
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Rosilawati Amiruddin, Abu Hassan Shaari Mohd Nor, Ismadi Ismail
Abstract
Open-access reader
This paper purports to study the effectiveness of financial development to Malaysian economic growth utilizing quarterly data. In view of the priority given to dynamic relationship in conducting this study, Vector Autoregressive (VAR) method which encompasses Johansen-Juselius’ Multivariate cointegration, Vector Error Correction Model (VECM), Impulse Response Function (IRF), and Variance Decomposition (VDC) are used as empirical evidence. The result reveals a short-term and long-term dynamic relationship between financial development and economic growth. The importance of financial sector in influencing the economic activity is proven as a clear policy implication.
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This paper purports to study the effectiveness of financial development to Malaysian economic growth utilizing quarterly data. In view of the priority given to dynamic relationship in conducting this study, Vector Autoregressive (VAR) method which encompasses Johansen-Juselius’ Multivariate cointegration, Vector Error Correction Model (VECM), Impulse Response Function (IRF), and Variance Decomposition (VDC) are used as empirical evidence. The result reveals a short-term and long-term dynamic relationship between financial development and economic growth. The importance of financial sector in influencing the economic activity is proven as a clear policy implication.
Key concepts: Variance decomposition of forecast errors, Cointegration, Vector autoregression, Error correction model, Johansen test, Econometrics, Economics, Autoregressive model