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Influence of Investor Sentiments on Stock Market Capitalization of Different Economic Sectors in a Developing Economy: Evidence from Pakistan

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  • Syed Ali Raza, Muhammad Mansoor, Khalid M. Iraqi

    (IQRA University)

Abstract

This study investigates the effect of investor sentiment on the stock market capitalization on different economic sectors of Karachi Stock Exchange of Pakistan by using the data from the year 1972-2014. The findings of EGARCH model suggest that the Power and Fuel sector and the Chemical sector are more affected by investor sentiment as compared to the other sectors due to the presence of big giants' firms of Pakistani market in those sectors. Furthermore, it is concluded that noise traders are irrational traders and they follow news and trends. Therefore, it is recommended that a number of different educational and awareness programs should be introduced for the individual investors to make them financial literate, and through this process the number of knowledgeable investors can be increased and the impact of noise traders can be reduced.

Suggested Citation

  • Syed Ali Raza, Muhammad Mansoor, Khalid M. Iraqi, 2019. "Influence of Investor Sentiments on Stock Market Capitalization of Different Economic Sectors in a Developing Economy: Evidence from Pakistan," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 4(1), pages 31-43, March.
    • Handle: RePEc:gei:jnlfer:v:4:y:2019:i:1:p:31-43
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    References listed on IDEAS

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    1. Utku Uygur & Oktay Tas, 2014. "The impacts of investor sentiment on different economic sectors: Evidence from Istanbul Stock Exchange," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 14(4), pages 236-241, December.
    2. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    3. Syed Ali Raza, 2015. "Foreign direct investment, workers’ remittances and private saving in Pakistan: an ARDL bound testing approach," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(6), pages 1216-1234, December.
    4. Mustafa Sayim & Pamela D. Morris & Hamid Rahman, 2013. "The effect of US individual investor sentiment on industry‐specific stock returns and volatility," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 5(1), pages 58-76, September.
    5. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    6. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    7. Białkowski, Jędrzej & Etebari, Ahmad & Wisniewski, Tomasz Piotr, 2012. "Fast profits: Investor sentiment and stock returns during Ramadan," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 835-845.
    8. Verma, Rahul & Verma, Priti, 2007. "Noise trading and stock market volatility," Journal of Multinational Financial Management, Elsevier, vol. 17(3), pages 231-243, July.
    9. Lee, Wayne Y. & Jiang, Christine X. & Indro, Daniel C., 2002. "Stock market volatility, excess returns, and the role of investor sentiment," Journal of Banking & Finance, Elsevier, vol. 26(12), pages 2277-2299.
    10. Syed Raza & Syed Jawaid, 2014. "Foreign capital inflows, economic growth and stock market capitalization in Asian countries: an ARDL bound testing approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 375-385, January.
    11. Shady Kholdy & Ahmad Sohrabian, 2014. "Noise traders and the rational investors: a comparison of the 1990s and the 2000s," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 41(6), pages 849-862, November.
    12. Syed ali, Raza & Syed tehseen, jawaid & Imtiaz, arif & Fahim, qazi, 2011. "Validity of capital asset pricing model: evidence from Karachi stock exchange," MPRA Paper 32737, University Library of Munich, Germany.
    13. Changsheng Hu & Yongfeng Wang, 2013. "Noise trading and stock returns: evidence from China," China Finance Review International, Emerald Group Publishing Limited, vol. 3(3), pages 301-315, August.
    14. Robert Engle, 2001. "GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 157-168, Fall.
    15. Thomas Lux, 2011. "Sentiment dynamics and stock returns: the case of the German stock market," Empirical Economics, Springer, vol. 41(3), pages 663-679, December.
    16. Jinfang Li, 2015. "The asymmetric effects of investor sentiment and monetary policy on stock prices," Applied Economics, Taylor & Francis Journals, vol. 47(24), pages 2514-2522, May.
    17. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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