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A Study of Intercept Adjusted Markov Switching Vector Autoregressive Model in Economic Time Series Data

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  • Seuk Wai
  • Mohd Tahir Ismail
  • Siok Kun Sek

Abstract

Commodity price always related to the movement of stock market index. However real economic time series data always exhibit nonlinear properties such as structural change, jumps or break in the series through time. Therefore, linear time series models are no longer suitable and Markov Switching Vector Autoregressive models which able to study the asymmetry and regime switching behavior of the data are used in the study. Intercept adjusted Markov Switching Vector Autoregressive (MSI-VAR) model is discuss and applied in the study to capture the smooth transition of the stock index changes from recession state to growth state. Results found that the dramatically changes from one state to another state are continuous smooth transition in both regimes. In addition, the 1-step prediction probability for the two regime Markov Switching model which act as the filtered probability to the actual probability of the variables is converged to the actual probability when undergo an intercept adjusted after a shift. This prove that MSI-VAR model is suitable to use in examine the changes of the economic model and able to provide significance, valid and reliable results. While oil price and gold price also proved that as a factor in affecting the stock exchange.

Suggested Citation

  • Seuk Wai & Mohd Tahir Ismail & Siok Kun Sek, 2013. "A Study of Intercept Adjusted Markov Switching Vector Autoregressive Model in Economic Time Series Data," Information Management and Business Review, AMH International, vol. 5(8), pages 379-384.
    • Handle: RePEc:rnd:arimbr:v:5:y:2013:i:8:p:379-384
    DOI: 10.22610/imbr.v5i8.1065
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    1. Cheung, Yin-Wong & Lai, Kon S, 1995. "Lag Order and Critical Values of the Augmented Dickey-Fuller Test," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 277-280, July.
    2. Hondroyiannis, George & Papapetrou, Evangelia, 2006. "Stock returns and inflation in Greece: A Markov switching approach," Review of Financial Economics, Elsevier, vol. 15(1), pages 76-94.
    3. Hans-Martin Krolzig, 2001. "Markov-Switching Procedures for Dating the Euro-Zone Business Cycle," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 70(3), pages 339-351.
    4. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    5. Kugler, Peter, 1996. "The term structure of interest rates and regime shifts: Some empirical results," Economics Letters, Elsevier, vol. 50(1), pages 121-126, January.
    6. Hamilton, James D & Gang, Lin, 1996. "Stock Market Volatility and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 573-593, Sept.-Oct.
    7. Arin, K. Peren & Spagnolo, Nicola, 2011. "Short-term growth effects of fiscal policy revisited: A Markov-switching approach," Economics Letters, Elsevier, vol. 110(3), pages 278-281, March.
    8. Sadorsky, Perry, 1999. "Oil price shocks and stock market activity," Energy Economics, Elsevier, vol. 21(5), pages 449-469, October.
    9. Jones, Charles M & Kaul, Gautam, 1996. "Oil and the Stock Markets," Journal of Finance, American Finance Association, vol. 51(2), pages 463-491, June.
    10. Faff, Robert W. & Brailsford, Timothy J., 1999. "Oil price risk and the Australian stock market," Journal of Energy Finance & Development, Elsevier, vol. 4(1), pages 69-87, June.
    11. Guo, Feng & Chen, Carl R. & Huang, Ying Sophie, 2011. "Markets contagion during financial crisis: A regime-switching approach," International Review of Economics & Finance, Elsevier, vol. 20(1), pages 95-109, January.
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