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Expectations and Stock Market in Nepal

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  • Roshan Sedhain
  • S. Shijin

Abstract

This study examines the presence of both rational and adaptive expectations hypotheses in the Nepalese stock market by employing panel data analysis under the Fama–French three-factor model. Under the adaptive expectation hypothesis, the book to market equity is an essential determinant in the Nepalese stock market, and only the past 2-year information can explain investment decisions. Likewise, under the rational expectation hypothesis, the value factor, size factor and excess market return are important determinants during the investment decision. The past 3 years of information and the next 3 years of future information are necessary to estimate stock market return under rational expectation. Thus, this study reveals that the investment decision in the Nepalese stock market depends on the investor’s choice and preference upon the factors that are incorporated in the Fama–French three-factor model and the types of expectations in which the investors mostly believe.

Suggested Citation

  • Roshan Sedhain & S. Shijin, 2023. "Expectations and Stock Market in Nepal," Vision, , vol. 27(5), pages 671-679, November.
  • Handle: RePEc:sae:vision:v:27:y:2023:i:5:p:671-679
    DOI: 10.1177/09722629211039053
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    References listed on IDEAS

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    1. Evans, George W. & Ramey, Garey, 2006. "Adaptive expectations, underparameterization and the Lucas critique," Journal of Monetary Economics, Elsevier, vol. 53(2), pages 249-264, March.
    2. Herschel I. Grossman, 1980. "Rational Expectations, Business Cycles, and Government Behavior," NBER Chapters, in: Rational Expectations and Economic Policy, pages 5-22, National Bureau of Economic Research, Inc.
    3. Marc Nerlove, 1958. "Adaptive Expectations and Cobweb Phenomena," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 72(2), pages 227-240.
    4. Chow, Gregory C, 1989. "Rational versus Adaptive Expectations in Present Value Models," The Review of Economics and Statistics, MIT Press, vol. 71(3), pages 376-384, August.
    5. Johnson, Michael D & Anderson, Eugene W & Fornell, Claes, 1995. "Rational and Adaptive Performance Expectations in a Customer Satisfaction Framework," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(4), pages 695-707, March.
    6. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    7. Dipesh Karki & Binam Ghimire, 2016. "Explaining Stock Returns in Nepal: Application of Single and Multi-factor models," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 5(3), pages 1-3.
    8. Cyert, Richard M & DeGroot, Morris H, 1974. "Rational Expectations and Bayesian Analysis," Journal of Political Economy, University of Chicago Press, vol. 82(3), pages 521-536, May/June.
    9. Wallis, Kenneth F, 1980. "Econometric Implications of the Rational Expectations Hypothesis," Econometrica, Econometric Society, vol. 48(1), pages 49-73, January.
    10. Clive Gaunt, 2004. "Size and book to market effects and the Fama French three factor asset pricing model: evidence from the Australian stockmarket," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 44(1), pages 27-44, March.
    11. William Butos & Roger Koppl, 1993. "Hayekian expectations: Theory and empirical applications," Constitutional Political Economy, Springer, vol. 4(3), pages 303-329, September.
    12. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    13. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
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