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Impact of Oil Price and Its Volatility on Stock Market Index in Pakistan: Bivariate EGARCH Model

Author

Listed:
  • Naurin, Abida
  • Qayyum, Abdul

Abstract

Oil is becoming as an important determinant which affects the macroeconomic activities and the stock market indices in unusual patterns among various parts of the globe particularly since the first oil crisis in 1973. Also Petroleum products are recognized to be the essential source of energy and power throughout the world and gaining substantial importance as a tool for endurance and security of developed nations. The research study targets to explore the impact of oil price and its volatility on Stock market index in Pakistan from the period 1991:M11 to 2014:M12. In this study we used the financial time series econometrics techniques; first applied the Box-Cox transformation on the data which suggested log transformation is required for all series. As data used will be monthly, Beaulieu and Miron (1992) seasonal unit root test is used if stationarity is present in the data. All variables hold unit root at zero frequency and become stationary at first difference. Further to confirm if co-integration relationship exists between the variables we have estimated Engle and Granger (1987) two-step method. And finally Bivariate EGARCH model is applied to scrutinize the impact of oil price volatility Stock market index. Bollerslev and Wooldridge (1992) proposed this model which is projected by using Maximum likelihood method. Hence the findings of Bivariate EGARCH model suggested the direct association between oil prices and Stock market Index. It means SPI is positively affected by oil prices. In case of Pakistan, asymmetric impact is positive but statistically insignificant at α=.05 (Level of significance). But in case of oil price volatility Bivariate EGARCH model, it is negative and statistically insignificant. The summation of Beta Coefficients of ARCH and GARCH suggests that the volatility shocks in the SPI have been highly continual and became extinct rather slowly in case of Pakistan.

Suggested Citation

  • Naurin, Abida & Qayyum, Abdul, 2016. "Impact of Oil Price and Its Volatility on Stock Market Index in Pakistan: Bivariate EGARCH Model," MPRA Paper 70636, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:70636
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    References listed on IDEAS

    as
    1. Arshad Hasan & Zafar Mueen Nasir, 2008. "Macroeconomic Factors and Equity Prices: An Empirical Investigation by Using ARDL Approach," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(4), pages 501-513.
    2. Thai-Ha LE & Youngho CHANG, 2011. "The Impact of Oil Price Fluctuations on Stock Markets in Developed and Emerging Economies," Economic Growth Centre Working Paper Series 1103, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    3. Park, Jungwook & Ratti, Ronald A., 2008. "Oil price shocks and stock markets in the U.S. and 13 European countries," Energy Economics, Elsevier, vol. 30(5), pages 2587-2608, September.
    4. Muhammad Arshad Khan & Ayaz Ahmed, 2011. "Macroeconomic Effects of Global Food and Oil Price Shocks to the Pakistan Economy: A Structural Vector Autoregressive (SVAR) Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 50(4), pages 491-511.
    5. Lutz Kilian, 2008. "The Economic Effects of Energy Price Shocks," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 871-909, December.
    6. Joseph Beaulieu, J. & Miron, Jeffrey A., 1993. "Seasonal unit roots in aggregate U.S. data," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 305-328.
    7. Martin Bodenstein & Luca Guerrieri & Lutz Kilian, 2012. "Monetary Policy Responses to Oil Price Fluctuations," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 60(4), pages 470-504, December.
    8. Jones, Charles M & Kaul, Gautam, 1996. "Oil and the Stock Markets," Journal of Finance, American Finance Association, vol. 51(2), pages 463-491, June.
    9. Masih, Rumi & Peters, Sanjay & De Mello, Lurion, 2011. "Oil price volatility and stock price fluctuations in an emerging market: Evidence from South Korea," Energy Economics, Elsevier, vol. 33(5), pages 975-986, September.
    10. Philip Hans Franses & Bart Hobijn, 1997. "Critical values for unit root tests in seasonal time series," Journal of Applied Statistics, Taylor & Francis Journals, vol. 24(1), pages 25-48.
    11. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
    12. Nazir, Sidra & Qayyum, Abdul, 2014. "Impact of Oil Price and Shocks on Economic Growth of Pakistan: Multivariate Analysis," MPRA Paper 55929, University Library of Munich, Germany, revised 2014.
    13. Rahman, Sajjadur & Serletis, Apostolos, 2011. "The Asymmetric Effects Of Oil Price Shocks," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 437-471, November.
    14. Dhaoui, Abderrazak & Khraief, Naceur, 2014. "Empirical linkage between oil price and stock market returns and volatility: Evidence from international developed markets," Economics Discussion Papers 2014-12, Kiel Institute for the World Economy (IfW).
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    More about this item

    Keywords

    Oil prices; Volatility of oil prices; SPI; Box Cox Transformation; Beaulieu and Miron; Co-integration; Bivariate EGARCH; Pakistan.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G1 - Financial Economics - - General Financial Markets

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