Modeling Assets Pricing Using Behavioral Patterns; Fama-French Approach

Document Type : Original Article

Authors

1 Ph.D. Candidate, Department of Accounting, Islamic Azad University, Tehran South Branch, Tehran, Iran.

2 Assistant Prof., Department of Accounting, Islamic Azad University, Tehran South Branch, Tehran, Iran.

Abstract

Behavioral finance is a new issue raised by some financial intellectuals over the past two decades and has been quickly addressed by professors, experts, and students throughout the world. Investigating the factors affecting investment decisions is carried out in the field of behavioral finance; in other words, the focus of behavioral finance is on the specific charac-teristics of human behavior and applying them in asset pricing. Empirically, pricing models rarely include psychological factors, but the noticeable point is that nowadays, researchers have found behavioral factors influencing empirical asset pricing models that can manipulate returns on asset mispricing. Behavioral asset pricing is the result of applying behavioral finance theories within traditional asset pricing theories. Thus, despite the existence of many asset pricing models, due to their weaknesses and lack of comprehensiveness, as well as the necessity of reviewing behavioral factors, this study aims to model asset pricing through behavioral models. Using the data from 141 listed firms in Tehran Stock Exchange over the years 2008 to 2017 and multivariate regression, this study is an attempts to model asset pric-ing through employing behavioral models and Fama-French approach. Using Fama-French approach, the results showed that accounting information risk, investors’ trading behavior, and investors' sentiment have a direct and significant impact on asset pricing.

Keywords

References

Amaya, D., Christoffersen, P., Jacobs, K., Vasquez, A. (2015). Does realized skewness predict the cross-section of equity returns? Journal of Financial Economics, 118(1): 135-167.
Baker, M., Wurgler, J. (2006). Investor sentiment and the cross-section of stock returns. The Journal of Finance, 61(4): 1645-1680.
Baker, M., Wurgler, J. (2007). Investor sentiment in the stock market. Journal of Economic Perspective, 21(2): 129-151.
Baker, M., Wurgler, J., Yuan, Y. (2012). Global, local and contagious investor sentiment. Journal of Financial Economics, 104, 272-287.
Barber, B., Odean, T., Zhu, N. (2009). Do retail trades move markets? Review of Financial Studies, 22(1): 151-186.
Barberis, N., Huang, M. (2001). Mental accounting, loss aversion and individual stock returns. Journal of Finance, 56, 1247-1292.
Brown, G., Cliff, M. (2001).Investor sentiment, the near-term stock market. Journal of Empirical Finance, 11(1): 1-27.
Cen, L., Lu, H., Yang, L. (2013). Investor sentiment, disagreement, and the breadth-return relationship. Management Science, 59(5): 1076-1091.
Choi, Y., Lee, S. (2017). Realized skewness and future stock returns: The role of information.Economics, 7(3): 359-378.
Derakhshande, S., Ali Ahmadi, S. (2017). Evaluating the Role of Investors' Sentiment on Price Orientation and Turnovers in the Capital Market. Financial Knowledge of Securities Analysis, 10(33): 51-63. (in persian).
Easley, D., Ohara, M. (2004). Information and the cost of capital. Journal of Finance, 12, 365-372.
Fama, E., French, K. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1): 3-56.
Fama, E., French, K. (1995). Size and book-to-market factors in earnings and returns. The Journal of Finance, 50(1): 131-155.
Fama, E., French, K. (2012). Size, value, and momentum in international stock returns. Journal of Financial Economics, 105(3): 457-472.
Fama, E., French, K. (2015).A five-factor asset pricing model. Journal of Financial Economics, 116(1): 1-22.
Fama, E., Laffer, A. (1971). Information and capital markets. Journal of Business, 44(3): 289-298.
Fong, W., Toh, B. (2014).Investor sentiment and the MAX effect. Journal of Banking & Finance,46, 190-201.
Greenwood, R., Shleifer, A. (2014).Expectations of returns and expected returns. The Review of Financial Studies, 27(3): 714-746.
Han, B., Kumar, A. (2013).Speculative retail trading and asset prices. Journal of Financial and Quantitative Analysis, 48(02): 377-404.
Higson, A. (2003). Corporate Financial Reporting-Theory & Practice. London: Sage Publications Ltd.
Hirshleifer, D. (2001). Investor Psychology and Asset Pricing. Journal of Finance, 56, 1533-1597.
Hvidkjaer, S. (2006).A trade-based analysis of momentum. Review of Financial Studies, 19(2): 457-491.
Hvidkjaer, S. (2008). Small trades and the cross-section of stock returns. Review of Financial Studies, 21, 1123-1151.
Jorgensen, B., Li, J., Sadka, G. (2012).Earnings Dispersion and Aggregate Stock Returns.Journal of Accounting and Economics, 53, 1-20.
Kannadhasan, M., Aramvalarthan, S. (2014).Relationship among cognitive biases, risk perceptions and individual’s decision to start a venture. Decision, 41(1): 87-98.
Kim, T., Ha, N. (2010). Investor sentiment and market anomalies. In SSRN Working Paper.
Lambert, R., Leuz, C. (2012). Verrecchia, R., Information asymmetry, information precision, and the cost of capital. Review of Finance,16, 1-29.
Lee, C., Radhakrishna, B. (2000).Inferring investor trading behavior: Evidence from TORQ data. Journal of Financial Markets, 3(2): 83-111.
Lee, C., Ready, M. (1991). Inferring trade direction from intraday data. The Journal of Finance, 46(2): 733-746.
Li, H., Guo, Y., Park, S. (2018). Asymmetric Relationship between Investors' Sentiment and Stock Returns: Evidence from a Quintile Non‐causality Test. International Review of Finance, 17(4): available on the internet at https://doi.org/10.1111/irfi.12120.
Liao, T., Huang, C., Wu, C. (2011).Do fund managers herd to counter investor sentiment? Journal of Business Research, 64(2): 207-212.
Malmendier, U., Shanthikumar, D. (2007).Are small investors naive about incentives? Journal of Financial Economics, 85,457-489.
Moghadam, A., Ghadr Dan, E., Rashedi, M. (2014).Stock Returns Forecasts Using Market Ratios in Listed Firms in Tehran Stock Exchange.Accounting and Audit Research, 6(24): 117-102. (in Persian).
Paraboni, A., Brutti Righi, M., Vieira, K., Silveira, V. (2018).The Relationship between Sentiment and Risk in Financial Markets. Brazilian Administratation Review, 15(1):http://dx.doi.org/10.1590/1807-7692bar2018170055.
Pravin, Ch., Dhananjay, P. (2019). An Empirical Test of Capital Asset Pricing Model with reference to S&P BSE Sensex Index. Research ReviewInternational Journal of Multidisciplinary, 4(2): 52-58.
Qian, X. (2014).Small investor sentiment, differences of opinion and stock overvaluation. Journal of Financial Markets, 19,219-246.
Raheel, S., Yan, C. (2017). Information risk, stock returns, and asset pricing: evidence from China. Accounting Research Journal, https://doi.org/10.1108/ARJ-04-2015-0057.
Saiedi, A., Farhanian, M. (2015).Basics of Economics and Behavioral Finance. Second Edition, Tehran: Stock Exchange Publications. (in Persian).
Seif Allahi, R., Kordlouei, H., Dashti, N. (2015).A Comparison of Behavioral Factors in Financial Assets Investment. Investment Knowledge, 4(15): 33-52. (in Persian).
Shiller, R. (2011).Democratizing and humanizing finance. In Randall S. Kroszner, & Robert J. Shiller (Eds.): Reforming US financialmarkets: Reflections before and beyond Dodd–Frank. Cambridge MA: Alvin Hansen Symposium on Public Policy at HarvardUniversity, MIT Press.
Shiller, R. (2014). Speculative asset prices. American EconomicReview, 104(6): 1486-1517.
Stambaugh, R., Yu, J., Yuan, Y. (2012).The short of it: investor sentiment and anomalies. Journal of Financial Economics, 104,288-302.
Stambaugh, R., Yu, J., Yuan, Y. (2014). The long of it: Odds that investor sentiment spuriously predicts anomaly returns.Journal of Financial Economics, 114(3): 613-619.
Wallace, W. (1985). The economic role of the audit in free and regulated markets. The Touches Ross and Co. Aid to Education Program. Reprinted in Auditing Monographs (New York Macmillan Publishing Co. Available on the internet at: <http://raw.rutgers.edu/raw/wallace/homepage.html>.
Wilson, T.D., Lisle, D., Schooler, J., Hodges, S.D., Klaaren, K.J., LaFleur, S.J. (1993). Introspecting about reasons can reduce post-choice satisfaction. Personality and Social Psychology Bulletin, 19, 331-339.
Yang, C., Gao, B. (2015). The term structure of sentiment effect in stock index futures market. The North American Journal ofEconomics and Finance, 30, 171-182.
Yang, C., Zhang, R. (2014). Does mixed-frequency investor sentiment impact stock returns?Based on the empirical study ofMIDAS regression model. Applied Economics,46(9): 966-972.
Yang, C., Zhou, L. (2015). Investor trading behavior, investor sentiment and asset prices. North American Journal of Economics and Finance, 34, 42-62.
Yu, J., Yuan, Y. (2011). Investor sentiment and the mean–variance relation. Journal of Financial Economics, 100(2): 367-381
Iranian Journal of Finance
Volume 3, Issue 3
July 2019
Pages 35-61

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History

  • Receive Date: 11 June 2019
  • Accept Date: 08 January 2020
  • First Publish Date: 08 January 2020

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