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Sentiment and covariance characteristics

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  • Tran, Vu Le

Abstract

We propose a bridging model that connects risk-based factor models to sentiment models by using stock characteristics from the asset pricing literature. Investors use stock characteristics as information to form their biased view and hence creating mispricing in stock’s price from its fundamental value. Characteristics also serve as the proxy for the covariance risk to a latent factor. The α from our factor model of mispricing ranges from 0.70% to 1.38% monthly after controlling for other common factors and mispricing measures. Well-known anomalies are only represented in either underpriced or overpriced stocks but not in all the cross-section.

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  • Tran, Vu Le, 2023. "Sentiment and covariance characteristics," International Review of Financial Analysis, Elsevier, vol. 86(C).
    • Handle: RePEc:eee:finana:v:86:y:2023:i:c:s1057521923000492
    DOI: 10.1016/j.irfa.2023.102533
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    1. Cortés, Kristle & Duchin, Ran & Sosyura, Denis, 2016. "Clouded judgment: The role of sentiment in credit origination," Journal of Financial Economics, Elsevier, vol. 121(2), pages 392-413.
    2. Kelly, Bryan T. & Pruitt, Seth & Su, Yinan, 2019. "Characteristics are covariances: A unified model of risk and return," Journal of Financial Economics, Elsevier, vol. 134(3), pages 501-524.
    3. Holthausen, Robert W. & Larcker, David F., 1992. "The prediction of stock returns using financial statement information," Journal of Accounting and Economics, Elsevier, vol. 15(2-3), pages 373-411, August.
    4. Karl B. Diether & Christopher J. Malloy & Anna Scherbina, 2002. "Differences of Opinion and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2113-2141, October.
    5. Tarun Chordia & Richard Roll & Avanidhar Subrahmanyam, 2001. "Market Liquidity and Trading Activity," Journal of Finance, American Finance Association, vol. 56(2), pages 501-530, April.
    6. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    7. Bali, Turan G. & Cakici, Nusret & Whitelaw, Robert F., 2011. "Maxing out: Stocks as lotteries and the cross-section of expected returns," Journal of Financial Economics, Elsevier, vol. 99(2), pages 427-446, February.
    8. Heitor Almeida & Murillo Campello, 2007. "Financial Constraints, Asset Tangibility, and Corporate Investment," The Review of Financial Studies, Society for Financial Studies, vol. 20(5), pages 1429-1460, 2007 12.
    9. Newey, Whitney K & West, Kenneth D, 1987. "Hypothesis Testing with Efficient Method of Moments Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 28(3), pages 777-787, October.
    10. Richardson, Scott A. & Sloan, Richard G. & Soliman, Mark T. & Tuna, Irem, 2005. "Accrual reliability, earnings persistence and stock prices," Journal of Accounting and Economics, Elsevier, vol. 39(3), pages 437-485, September.
    11. Al-Nasseri, Alya & Menla Ali, Faek & Tucker, Allan, 2021. "Investor sentiment and the dispersion of stock returns: Evidence based on the social network of investors," International Review of Financial Analysis, Elsevier, vol. 78(C).
    12. Barth, ME & Elliott, JA & Finn, MW, 1999. "Market rewards associated with patterns of increasing earnings," Journal of Accounting Research, Wiley Blackwell, vol. 37(2), pages 387-413.
    13. Guanhao Feng & Jingyu He & Nicholas G. Polson, 2018. "Deep Learning for Predicting Asset Returns," Papers 1804.09314, arXiv.org, revised Apr 2018.
    14. Frederico Belo & Xiaoji Lin & Santiago Bazdresch, 2014. "Labor Hiring, Investment, and Stock Return Predictability in the Cross Section," Journal of Political Economy, University of Chicago Press, vol. 122(1), pages 129-177.
    15. Frazzini, Andrea & Pedersen, Lasse Heje, 2014. "Betting against beta," Journal of Financial Economics, Elsevier, vol. 111(1), pages 1-25.
    16. Campbell R. Harvey, 2017. "Presidential Address: The Scientific Outlook in Financial Economics," Journal of Finance, American Finance Association, vol. 72(4), pages 1399-1440, August.
    17. Michael J. Cooper & Huseyin Gulen & Michael J. Schill, 2008. "Asset Growth and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 63(4), pages 1609-1651, August.
    18. Tobias J. Moskowitz & Mark Grinblatt, 1999. "Do Industries Explain Momentum?," Journal of Finance, American Finance Association, vol. 54(4), pages 1249-1290, August.
    19. repec:bla:jfinan:v:43:y:1988:i:2:p:507-28 is not listed on IDEAS
    20. Re‐Jin Guo & Baruch Lev & Charles Shi, 2006. "Explaining the Short‐ and Long‐Term IPO Anomalies in the US by R&D," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(3‐4), pages 550-579, April.
    21. Palazzo, Berardino, 2012. "Cash holdings, risk, and expected returns," Journal of Financial Economics, Elsevier, vol. 104(1), pages 162-185.
    22. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    23. Kim, Karam & Ryu, Doojin & Yang, Heejin, 2021. "Information uncertainty, investor sentiment, and analyst reports," International Review of Financial Analysis, Elsevier, vol. 77(C).
    24. Edmans, Alex & Fernandez-Perez, Adrian & Garel, Alexandre & Indriawan, Ivan, 2022. "Music sentiment and stock returns around the world," Journal of Financial Economics, Elsevier, vol. 145(2), pages 234-254.
    25. repec:bla:jfinan:v:44:y:1989:i:2:p:479-86 is not listed on IDEAS
    26. Kewei Hou & Chen Xue & Lu Zhang, 2015. "Editor's Choice Digesting Anomalies: An Investment Approach," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 650-705.
    27. Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2223-2273.
    28. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    29. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    30. Kewei Hou & Chen Xue & Lu Zhang, 2020. "Replicating Anomalies," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2019-2133.
    31. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    32. Robert F. Stambaugh & Jianfeng Yu & Yu Yuan, 2015. "Arbitrage Asymmetry and the Idiosyncratic Volatility Puzzle," Journal of Finance, American Finance Association, vol. 70(5), pages 1903-1948, October.
    33. Itay Kama, 2009. "On the Market Reaction to Revenue and Earnings Surprises," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(1‐2), pages 31-50, January.
    34. Jeffrey Pontiff & Artemiza Woodgate, 2008. "Share Issuance and Cross‐sectional Returns," Journal of Finance, American Finance Association, vol. 63(2), pages 921-945, April.
    35. Basu, S, 1977. "Investment Performance of Common Stocks in Relation to Their Price-Earnings Ratios: A Test of the Efficient Market Hypothesis," Journal of Finance, American Finance Association, vol. 32(3), pages 663-682, June.
    36. Andrea L. Eisfeldt & Dimitris Papanikolaou, 2013. "Organization Capital and the Cross-Section of Expected Returns," Journal of Finance, American Finance Association, vol. 68(4), pages 1365-1406, August.
    37. Michaely, Roni & Thaler, Richard H & Womack, Kent L, 1995. "Price Reactions to Dividend Initiations and Omissions: Overreaction or Drift?," Journal of Finance, American Finance Association, vol. 50(2), pages 573-608, June.
    38. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2012. "The short of it: Investor sentiment and anomalies," Journal of Financial Economics, Elsevier, vol. 104(2), pages 288-302.
    39. 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.
    40. Hong, Harrison & Kacperczyk, Marcin, 2009. "The price of sin: The effects of social norms on markets," Journal of Financial Economics, Elsevier, vol. 93(1), pages 15-36, July.
    41. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W, 1994. "Contrarian Investment, Extrapolation, and Risk," Journal of Finance, American Finance Association, vol. 49(5), pages 1541-1578, December.
    42. Daniel, Kent & Titman, Sheridan, 1997. "Evidence on the Characteristics of Cross Sectional Variation in Stock Returns," Journal of Finance, American Finance Association, vol. 52(1), pages 1-33, March.
    43. Jiang, Fuwei & Lee, Joshua & Martin, Xiumin & Zhou, Guofu, 2019. "Manager sentiment and stock returns," Journal of Financial Economics, Elsevier, vol. 132(1), pages 126-149.
    44. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    45. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    46. Fang, Hao & Chung, Chien-Ping & Lu, Yang-Cheng & Lee, Yen-Hsien & Wang, Wen-Hao, 2021. "The impacts of investors' sentiments on stock returns using fintech approaches," International Review of Financial Analysis, Elsevier, vol. 77(C).
    47. Novy-Marx, Robert, 2013. "The other side of value: The gross profitability premium," Journal of Financial Economics, Elsevier, vol. 108(1), pages 1-28.
    48. Chordia, Tarun & Subrahmanyam, Avanidhar & Anshuman, V. Ravi, 2001. "Trading activity and expected stock returns," Journal of Financial Economics, Elsevier, vol. 59(1), pages 3-32, January.
    49. Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," Review of Finance, European Finance Association, vol. 33(5), pages 2223-2273.
    50. Kewei Hou & Tobias J. Moskowitz, 2005. "Market Frictions, Price Delay, and the Cross-Section of Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 981-1020.
    51. Balakrishnan, Karthik & Bartov, Eli & Faurel, Lucile, 2010. "Post loss/profit announcement drift," Journal of Accounting and Economics, Elsevier, vol. 50(1), pages 20-41, May.
    52. Jacob Thomas & Frank X. Zhang, 2011. "Tax Expense Momentum," Journal of Accounting Research, Wiley Blackwell, vol. 49(3), pages 791-821, June.
    53. Liu, Jianan & Stambaugh, Robert F. & Yuan, Yu, 2018. "Absolving beta of volatility’s effects," Journal of Financial Economics, Elsevier, vol. 128(1), pages 1-15.
    54. Song, Ziyu & Yu, Changrui, 2022. "Investor sentiment indices based on k-step PLS algorithm: A group of powerful predictors of stock market returns," International Review of Financial Analysis, Elsevier, vol. 83(C).
    55. repec:bla:jfinan:v:59:y:2004:i:2:p:623-650 is not listed on IDEAS
    56. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    57. Litzenberger, Robert H & Ramaswamy, Krishna, 1982. "The Effects of Dividends on Common Stock Prices: Tax Effects or Information Effects?," Journal of Finance, American Finance Association, vol. 37(2), pages 429-443, May.
    58. Baker, Malcolm & Wurgler, Jeffrey & Yuan, Yu, 2012. "Global, local, and contagious investor sentiment," Journal of Financial Economics, Elsevier, vol. 104(2), pages 272-287.
    59. Kewei Hou & David T. Robinson, 2006. "Industry Concentration and Average Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1927-1956, August.
    60. Jeremiah Green & John R. M. Hand & X. Frank Zhang, 2017. "The Characteristics that Provide Independent Information about Average U.S. Monthly Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 30(12), pages 4389-4436.
    61. Valta, Philip, 2016. "Strategic Default, Debt Structure, and Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 51(1), pages 197-229, February.
    62. Huang, Alan Guoming, 2009. "The cross section of cashflow volatility and expected stock returns," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 409-429, June.
    63. Loughran, Tim & Ritter, Jay R, 1995. "The New Issues Puzzle," Journal of Finance, American Finance Association, vol. 50(1), pages 23-51, March.
    64. Piotroski, JD, 2000. "Value investing: The use of historical financial statement information to separate winners from losers," Journal of Accounting Research, Wiley Blackwell, vol. 38, pages 1-41.
    65. Kent D. Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 2001. "Overconfidence, Arbitrage, and Equilibrium Asset Pricing," Journal of Finance, American Finance Association, vol. 56(3), pages 921-965, June.
    66. Christopher W. Anderson & Luis Garcia‐Feijóo, 2006. "Empirical Evidence on Capital Investment, Growth Options, and Security Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 171-194, February.
    67. Islam, Mohd. Anisul, 2021. "Investor sentiment in the equity market and investments in corporate-bond funds," International Review of Financial Analysis, Elsevier, vol. 78(C).
    68. Ou, Jane A. & Penman, Stephen H., 1989. "Financial statement analysis and the prediction of stock returns," Journal of Accounting and Economics, Elsevier, vol. 11(4), pages 295-329, November.
    69. 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.
    70. Titman, Sheridan & Wei, K. C. John & Xie, Feixue, 2004. "Capital Investments and Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(4), pages 677-700, December.
    71. Selale Tuzel, 2010. "Corporate Real Estate Holdings and the Cross-Section of Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 23(6), pages 2268-2302, June.
    72. Itay Kama, 2009. "On the Market Reaction to Revenue and Earnings Surprises," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(1-2), pages 31-50.
    73. Gong, Xue & Zhang, Weiguo & Wang, Junbo & Wang, Chao, 2022. "Investor sentiment and stock volatility: New evidence," International Review of Financial Analysis, Elsevier, vol. 80(C).
    74. Serhiy Kozak & Stefan Nagel & Shrihari Santosh, 2018. "Interpreting Factor Models," Journal of Finance, American Finance Association, vol. 73(3), pages 1183-1223, June.
    75. Liu, Weimin, 2006. "A liquidity-augmented capital asset pricing model," Journal of Financial Economics, Elsevier, vol. 82(3), pages 631-671, December.
    76. Rendleman, Richard Jr. & Jones, Charles P. & Latane, Henry A., 1982. "Empirical anomalies based on unexpected earnings and the importance of risk adjustments," Journal of Financial Economics, Elsevier, vol. 10(3), pages 269-287, November.
    77. Benhabib, Jess & Liu, Xuewen & Wang, Pengfei, 2016. "Sentiments, financial markets, and macroeconomic fluctuations," Journal of Financial Economics, Elsevier, vol. 120(2), pages 420-443.
    78. Obaid, Khaled & Pukthuanthong, Kuntara, 2022. "A picture is worth a thousand words: Measuring investor sentiment by combining machine learning and photos from news," Journal of Financial Economics, Elsevier, vol. 144(1), pages 273-297.
    79. Datar, Vinay T. & Y. Naik, Narayan & Radcliffe, Robert, 1998. "Liquidity and stock returns: An alternative test," Journal of Financial Markets, Elsevier, vol. 1(2), pages 203-219, August.
    80. Brennan, Michael J. & Chordia, Tarun & Subrahmanyam, Avanidhar, 1998. "Alternative factor specifications, security characteristics, and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 49(3), pages 345-373, September.
    81. Re-Jin Guo & Baruch Lev & Charles Shi, 2006. "Explaining the Short- and Long-Term IPO Anomalies in the US by R&D," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(3-4), pages 550-579.
    82. Jegadeesh, Narasimhan & Noh, Joonki & Pukthuanthong, Kuntara & Roll, Richard & Wang, Junbo, 2019. "Empirical tests of asset pricing models with individual assets: Resolving the errors-in-variables bias in risk premium estimation," Journal of Financial Economics, Elsevier, vol. 133(2), pages 273-298.
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