Presenting a Comprehensive Model for Portfolio Risk Premium Assessment and Explaining Its Economic Consequences

Document Type : Original Article

Authors

1 Ph.D. Candidate in Accounting, Bonab Branch, Islamic Azad University, Bonab, Iran

2 Associate Prof. of Accounting, Bonab Branch, Islamic Azad University, Bonab, Iran

3 Assistant Prof. of Accounting, Bonab Branch, Islamic Azad University, Bonab, Iran

Abstract

This study aimed to present a model for portfolio risk premium assessment and explain its economic consequences for companies listed in Tehran stock Exchange. In order to achieve this purpose, monthly data of 150 companies listed in Tehran Stock Exchange during 2007-2017 was used. In this study, the predictive powers of Fama - French three-factor model (2011), Carhart four-factor model (2014), Fama - French five-factor model (2014), Brousseau five-factor model (2015) and Roy and Shijin six-factor model (2018 b) have been evaluated and then an optimal model has been developed for portfolio risk assessment. Findings showed that the Carhart four-factor model has higher predictive ability (48.3%) than other mentioned models in the Tehran Stock Exchange. The explanatory power and predictive ability of the model developed in the Tehran Stock Exchange was 55.7% indicating higher predictive ability respect to previous models on portfolio risk premium. Also, the economic consequences of portfolio risk premium showed that portfolio risk premium had a positive and significant effect on both absolute and relative buying and selling gap between proposed prices and stock returns synchronization.

Keywords

References

  • Bali, T. G., Cakici, N., and Whitelaw, R.F. (2011). Maxing out: Stocks as lotteries and the cross-section of expected returns. Journal of Financial Economics, 99 (2), 427- 446.
  • Brousseau, C. (2015). The Pricing of Liquidity Risk and Accounting Quality in Canada. Journal of Accounting and Finance Research, 4 (4), 127-139.
  • Butler M., Leone, A. J., and Willenborg, M. (2004). An empirical analysis of auditor reporting and its association with abnormal accruals. Journal of Accounting and Economics, 37 (2), 139-165.
  • Campbell, J., Hilscher, J., and Szilagyi, J. (2008). In Search of Distress Risk. Journal of Finance, 63(6), 2899-2939.
  • Carhart, M. M. (2014). On Persistence in Mutual Fund Performance. Journal of Finance, 52(1), 57-82.
  • Fama E. F., and French. A. (1993). Common Risk Factors in the Returns on Stocks and Bonds. Journal of Financial Economics, 33(1) 3-56.
  • Fama, E. F., and French, K. R. (2011). Disappearing Dividends: Changing Firm Characteristics or Lower Propensity to Pay? Journal of Financial economics, 60 (1), 3-43.
  • Fama, E. F., and French, K. R. (2014). Incremental variables and the investment opportunity set. Journal of Financial Economics, 117(3), 470-488.
  • Fama, E. F., French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1-22.
  • Fraz, A. (2017). Information Environment Quality and its Impact on Return and Investment Decision, Doctor of Philosophy in Management Sciences, Department of Management & Social Sciences, Capital University of Science & Technology, Islamabad.
  • Islami Bidgoli. G. R., and Shahsavani D. (2012). Evaluation of the ability of the model based on stock characteristics in comparison with Fama and French three-factor model in explaining the stock returns of companies listed in the Tehran Stock Exchange. Journal of Accounting and Auditing Research, 4(21), 4-13.
  • Izadinia, N., Ebrahimi, M., and Hajiannejad A. (2014). Comparison of Fama - French Main Three-Factor Model with Carhart Main Four-Factor Model in Explaining the Stock Return of Companies Listed in the Tehran Stock Exchange. Journal of Asset Management and Financing, 2(3), 17-28.
  • Jegadeesh N., and Titman.S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. Journal of Financial, 48 (1), 65-91.
  • McNichols, M. (2002). The Quality of Accruals and Earnings: The Role of Accrual Estimation Errors: Discussion. Journal of Accounting Review, 77, 61-69.
  • R., and Shijin. S. (2018 a). Dissecting anomalies and dynamic human capital: The global evidence. Journal of Borsa Istanbul Review, 18(1), 1-32.
  • R., and Shijin. S. (2018 b). A six-factor asset pricing model. Journal of Borsa Istanbul Review 18 (3), 205-217.
  • Sharpe, W. F. (1964). Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk. Journal of Finance, 19 (3), 425–442.
  • Sheri, S., and Aghazarian, N. (2007). Empirical testing the power of the Fama and French model in explaining stock returns on Tehran stock exchange. Journal of Empirical studies of accounting, No.19, 115-134.
  • Sloan, R. (1996). Do Stock Prices Fully Reflect Information in Accruals and Cash Flows about Future Earnings? Journal of Accounting Review, 71(3), 289-315.
  • Yang, S., and Zhang, Q. (2009). Noise trading, investor sentiment volatility and stock returns. Journal of Systems Engineering - Theory & Practice, 29 (3), 40-47.

 

International Journal of Finance & Managerial Accounting
Volume 7, Issue 24 - Serial Number 24
January 2022
Pages 205-216

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