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Modeling The Interactions Of Stock Price And Exchange Rate In Malaysia

Author

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  • MOHD TAHIR ISMAIL

    (School of Mathematical Sciences, Universiti Sains Malaysia, 18000 Minden, Penang, Malaysia)

  • ZAIDI BIN ISA

    (School of Mathematical Sciences, Universiti Kebangsaan Malaysia, Bangi, 43600, Selangor, Malaysia)

Abstract

After the East Asian crisis in 1997, the issue of whether stock prices and exchange rates are related or not have received much attention. This is due to realization that during the crisis the countries affected saw turmoil in both their currencies and stock markets. This paper studies the non-linear interactions between stock price and exchange rate in Malaysia using a two regimes multivariate Markov switching vector autoregression (MS-VAR) model with regime shifts in both the mean and the variance. In the study, the Kuala Lumpur Composite Index (KLCI) and the exchange rates of Malaysia ringgit against four other countries namely the Singapore dollar, the Japanese yen, the British pound sterling and the Australian dollar between 1990 and 2005 are used. The empirical results show that all the series are not cointegrated but the MS-VAR model with two regimes manage to detect common regime shifts behavior in all the series. The estimated MS-VAR model reveals that as the stock price index falls the exchange rates depreciate and when the stock price index gains the exchange rates appreciate. In addition, the MS-VAR model fitted the data better than the linear vector autoregressive model (VAR).

Suggested Citation

  • Mohd Tahir Ismail & Zaidi Bin Isa, 2009. "Modeling The Interactions Of Stock Price And Exchange Rate In Malaysia," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 54(04), pages 605-619.
  • Handle: RePEc:wsi:serxxx:v:54:y:2009:i:04:n:s0217590809003471
    DOI: 10.1142/S0217590809003471
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    Cited by:

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    2. Nicolaas Groenewold & James E.H. Paterson, 2013. "Stock Prices and Exchange Rates in Australia: Are Commodity Prices the Missing Link?," Australian Economic Papers, Wiley Blackwell, vol. 52(3-4), pages 159-170, December.
    3. Rabia Luqman & Rehana Kouser, 2018. "Asymmetrical Linkages between Foreign Exchange and Stock Markets: Empirical Evidence through Linear and Non-Linear ARDL," JRFM, MDPI, vol. 11(3), pages 1-13, August.
    4. Muhammed Benli & Sedat Durmuskaya & Gokberk Bayramoglu, 2019. "Asymmetric exchange rate pass-through and sectoral stock price indices: Evidence from Turkey," International Journal of Business and Management, International Institute of Social and Economic Sciences, vol. 7(1), pages 25-47, May.
    5. Yutaka Kurihara & Akio Fukushima & Shinichiro Maeda, 2020. "Can Bitcoin’S Price Be A Predictor Of Stock Prices?," Noble International Journal of Economics and Financial Research, Noble Academic Publsiher, vol. 5(4), pages 50-55, April.
    6. Salah A. Nusair & Jamal A. Al-Khasawneh, 2022. "On the relationship between Asian exchange rates and stock prices: a nonlinear analysis," Economic Change and Restructuring, Springer, vol. 55(1), pages 361-400, February.
    7. Jing Nie & Zhichao Zhang & Zhuang Zhang & Si Zhou, 2015. "Currency Exposure in China under the New Exchange Rate Regime: National Level Evidence," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 23(3), pages 97-109, May.
    8. Siew-Pong Cheah & Thian-Hee Yiew & Cheong-Fatt Ng, 2017. "A nonlinear ARDL analysis on the relation between stock price and exchange rate in Malaysia," Economics Bulletin, AccessEcon, vol. 37(1), pages 336-346.
    9. Shaobo Long & Mengxue Zhang & Keaobo Li & Shuyu Wu, 2021. "Do the RMB exchange rate and global commodity prices have asymmetric or symmetric effects on China’s stock prices?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-21, December.
    10. Gözde YILDIRIM, Zafer ADALI, 2018. "Linear and Non-Linear Causality Tests of Stock Price and Real Exchange Rate Interactions in Turkey," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 1.
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    More about this item

    Keywords

    Stock price; exchange rates; Markov switching vector autoregression model; C32; C51;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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