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Stock market volatility and exchange rates: MGARCH-DCC and wavelet approaches


  • Hashim, Khairul Khairiah
  • Masih, Mansur


This study discusses the relationship between stock price index and exchange rate in Malaysia. Establishing the relationship between stock prices and exchange rate is important for several reasons. Firstly, it may affect the economic decisions in terms of monetary policy and fiscal policy. Secondly, by understanding the relationship of stock prices and exchange rate, it will assist to predict the possibility of financial downturn. This study makes an attempt to examine the positive or negative relationship between stock prices and exchange rate. The causality between stock price and exchange rate is important in order to assist in making economic decision. This study employs MGARCH-DCC and wavelet approach, more specifically the continuous wavelet transform (CWT) and maximum overlap discrete wavelet transform (MODWT). The earlier studies used time-domain framework in their search for a relationship when the true relations might exist at different frequencies. The findings show that there is negative relationship between stock prices index and exchange rate in the case of Malaysia for both Islamic and conventional stock indices. The stock price index leads exchange rate in the long term investment horizon. This empirical research may have several implications for traders, portfolio managers and policymakers. It can be helpful for the traders in explaining the flow of information between stock and foreign exchange markets.

Suggested Citation

  • Hashim, Khairul Khairiah & Masih, Mansur, 2015. "Stock market volatility and exchange rates: MGARCH-DCC and wavelet approaches," MPRA Paper 65234, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:65234

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    References listed on IDEAS

    1. Luís Aguiar-Conraria & Maria Soares, 2011. "Oil and the macroeconomy: using wavelets to analyze old issues," Empirical Economics, Springer, vol. 40(3), pages 645-655, May.
    2. Ning, Cathy, 2010. "Dependence structure between the equity market and the foreign exchange market-A copula approach," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 743-759, September.
    3. Walid, Chkili & Chaker, Aloui & Masood, Omar & Fry, John, 2011. "Stock market volatility and exchange rates in emerging countries: A Markov-state switching approach," Emerging Markets Review, Elsevier, vol. 12(3), pages 272-292, September.
    4. Sheng-Yung Yang & Shuh-Chyi Doong, 2004. "Price and Volatility Spillovers between Stock Prices and Exchange Rates: Empirical Evidence from the G-7 Countries," International Journal of Business and Economics, College of Business and College of Finance, Feng Chia University, Taichung, Taiwan, vol. 3(2), pages 139-153, August.
    5. Kim, Ki-ho, 2003. "Dollar exchange rate and stock price: evidence from multivariate cointegration and error correction model," Review of Financial Economics, Elsevier, vol. 12(3), pages 301-313.
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    More about this item


    Stock volatility; exchange rates; MGARCH-DCC; Wavelets;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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