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Characteristics-driven returns in equilibrium

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  • Guillaume Coqueret

Abstract

We reverse-engineer the equilibrium construction process of asset prices in order to obtain returns which depend on firm characteristics, possibly in a linear fashion. One key requirement is that agents must have demands that rely separately on firm characteristics and on the log-price of assets. Market clearing via exogenous (non-factor driven) supply, combined with linear demands in characteristics, yields the sought form. The coefficients in the resulting linear expressions are scaled net aggregate demands for characteristics, as well as their variations, and both can be jointly estimated via panel regressions. Conditions underpinning asset pricing anomalies are derived and underline the theoretical importance of the links between characteristics. Empirically, when the number of characteristics is small, the value and momentum anomalies are mostly driven by firm-specific fixed-effects, i.e., latent demands, which highlights the shortcomings of low-dimensional models.

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  • Guillaume Coqueret, 2022. "Characteristics-driven returns in equilibrium," Papers 2203.07865, arXiv.org.
  • Handle: RePEc:arx:papers:2203.07865
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    1. Joao Gomes & Leonid Kogan & Lu Zhang, 2003. "Equilibrium Cross Section of Returns," Journal of Political Economy, University of Chicago Press, vol. 111(4), pages 693-732, August.
    2. Jeffrey Wurgler & Ekaterina Zhuravskaya, 2002. "Does Arbitrage Flatten Demand Curves for Stocks?," The Journal of Business, University of Chicago Press, vol. 75(4), pages 583-608, October.
    3. 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.
    4. 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.
    5. Stephen A. Ross, 2013. "The Arbitrage Theory of Capital Asset Pricing," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30, World Scientific Publishing Co. Pte. Ltd..
    6. Merton, Robert C, 1973. "An Intertemporal Capital Asset Pricing Model," Econometrica, Econometric Society, vol. 41(5), pages 867-887, September.
    7. Petajisto, Antti, 2009. "Why Do Demand Curves for Stocks Slope Down?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(5), pages 1013-1044, October.
    8. Dimitri Vayanos & Paul Woolley, 2013. "An Institutional Theory of Momentum and Reversal," The Review of Financial Studies, Society for Financial Studies, vol. 26(5), pages 1087-1145.
    9. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    10. Bruno Biais & Peter Bossaerts & Chester Spatt, 2010. "Equilibrium Asset Pricing and Portfolio Choice Under Asymmetric Information," The Review of Financial Studies, Society for Financial Studies, vol. 23(4), pages 1503-1543, April.
    11. Ohlson, Ja & Shroff, Pk, 1992. "Changes Versus Levels In Earnings As Explanatory Variables For Returns - Some Theoretical Considerations," Journal of Accounting Research, Wiley Blackwell, vol. 30(2), pages 210-226.
    12. Sebastien Betermier & Laurent E. Calvet & Paolo Sodini, 2017. "Who Are the Value and Growth Investors?," Journal of Finance, American Finance Association, vol. 72(1), pages 5-46, February.
    13. 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.
    14. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    15. Lu Zhang, 2005. "The Value Premium," Journal of Finance, American Finance Association, vol. 60(1), pages 67-103, February.
    16. Mathijs Cosemans & Rik Frehen & Peter C. Schotman & Rob Bauer, 2016. "Estimating Security Betas Using Prior Information Based on Firm Fundamentals," The Review of Financial Studies, Society for Financial Studies, vol. 29(4), pages 1072-1112.
    17. 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.
    18. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    19. Kent Daniel & Lira Mota & Simon Rottke & Tano Santos, 2020. "The Cross-Section of Risk and Returns," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 1927-1979.
    20. Ammann, Manuel & Coqueret, Guillaume & Schade, Jan-Philip, 2016. "Characteristics-based portfolio choice with leverage constraints," Journal of Banking & Finance, Elsevier, vol. 70(C), pages 23-37.
    21. Kacperczyk, Marcin & Nosal, Jaromir & Stevens, Luminita, 2019. "Investor sophistication and capital income inequality," Journal of Monetary Economics, Elsevier, vol. 107(C), pages 18-31.
    22. Aydoğan Alti & Sheridan Titman, 2019. "A Dynamic Model of Characteristic‐Based Return Predictability," Journal of Finance, American Finance Association, vol. 74(6), pages 3187-3216, December.
    23. Aditya Kaul & Vikas Mehrotra & Randall Morck, 2000. "Demand Curves for Stocks Do Slope Down: New Evidence from an Index Weights Adjustment," Journal of Finance, American Finance Association, vol. 55(2), pages 893-912, April.
    24. Connor, Gregory & Korajczyk, Robert A, 1993. "A Test for the Number of Factors in an Approximate Factor Model," Journal of Finance, American Finance Association, vol. 48(4), pages 1263-1291, September.
    25. Hudson, Robert S. & Gregoriou, Andros, 2015. "Calculating and comparing security returns is harder than you think: A comparison between logarithmic and simple returns," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 151-162.
    26. 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.
    27. Cha, Heung-Joo & Lee, Bong-Soo, 2001. "The Market Demand Curve for Common Stocks: Evidence from Equity Mutual Fund Flows," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(2), pages 195-220, June.
    28. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg, 2020. "Characteristic-Sorted Portfolios: Estimation and Inference," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 531-551, July.
    29. 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.
    30. Kumar, Alok, 2009. "Dynamic Style Preferences of Individual Investors and Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(3), pages 607-640, June.
    31. Joachim Freyberger & Andreas Neuhierl & Michael Weber, 2020. "Dissecting Characteristics Nonparametrically," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2326-2377.
    32. 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.
    33. Gabaix, Xavier & Koijen, Ralph, 2021. "In Search of the Origins of Financial Fluctuations: The Inelastic Markets Hypothesis," CEPR Discussion Papers 16290, C.E.P.R. Discussion Papers.
    34. Koijen, Ralph & Richmond, Robert & Yogo, Motohiro, 2020. "Which Investors Matter for Equity Valuations and Expected Returns?," CEPR Discussion Papers 14890, C.E.P.R. Discussion Papers.
    35. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2015. "X-CAPM: An extrapolative capital asset pricing model," Journal of Financial Economics, Elsevier, vol. 115(1), pages 1-24.
    36. Michael W. Brandt & Pedro Santa-Clara & Rossen Valkanov, 2009. "Parametric Portfolio Policies: Exploiting Characteristics in the Cross-Section of Equity Returns," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3411-3447, September.
    37. Ralph S. J. Koijen & Motohiro Yogo, 2019. "A Demand System Approach to Asset Pricing," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1475-1515.
    38. Cronqvist, Henrik & Siegel, Stephan & Yu, Frank, 2015. "Value versus growth investing: Why do different investors have different styles?," Journal of Financial Economics, Elsevier, vol. 117(2), pages 333-349.
    39. Martin Lettau & Jessica A. Wachter, 2007. "Why Is Long‐Horizon Equity Less Risky? A Duration‐Based Explanation of the Value Premium," Journal of Finance, American Finance Association, vol. 62(1), pages 55-92, February.
    40. André F. Perold, 2004. "The Capital Asset Pricing Model," Journal of Economic Perspectives, American Economic Association, vol. 18(3), pages 3-24, Summer.
    41. repec:bla:jfinan:v:53:y:1998:i:5:p:1821-1827 is not listed on IDEAS
    42. Mark Britten‐Jones, 1999. "The Sampling Error in Estimates of Mean‐Variance Efficient Portfolio Weights," Journal of Finance, American Finance Association, vol. 54(2), pages 655-671, April.
    43. Joachim Freyberger & Andreas Neuhierl & Michael Weber & Andrew KarolyiEditor, 2020. "Dissecting Characteristics Nonparametrically," Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2326-2377.
    44. Chris Kirby & Nikolai Roussanov, 2020. "Firm Characteristics, Cross-Sectional Regression Estimates, and Asset Pricing Tests," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(2), pages 290-334.
    45. Kent Daniel & Lira Mota & Simon Rottke & Tano Santos & Andrew KarolyiEditor, 2020. "The Cross-Section of Risk and Returns," Review of Finance, European Finance Association, vol. 33(5), pages 1927-1979.
    46. Chamberlain, Gary, 1983. "Funds, Factors, and Diversification in Arbitrage Pricing Models," Econometrica, Econometric Society, vol. 51(5), pages 1305-1323, September.
    47. Robert D. Arnott & Jason C. Hsu & Jun Liu & Harry Markowitz, 2015. "Can Noise Create the Size and Value Effects?," Management Science, INFORMS, vol. 61(11), pages 2569-2579, November.
    48. John Y. Campbell & Tuomo Vuolteenaho, 2004. "Bad Beta, Good Beta," American Economic Review, American Economic Association, vol. 94(5), pages 1249-1275, December.
    49. Cederburg, Scott & O’Doherty, Michael S., 2015. "Asset-pricing anomalies at the firm level," Journal of Econometrics, Elsevier, vol. 186(1), pages 113-128.
    50. Froot, Kenneth & Teo, Melvyn, 2008. "Style Investing and Institutional Investors," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(4), pages 883-906, December.
    51. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    52. Kewei Hou & G. Andrew Karolyi & Bong-Chan Kho, 2011. "What Factors Drive Global Stock Returns?," The Review of Financial Studies, Society for Financial Studies, vol. 24(8), pages 2527-2574.
    53. Stephen H. Penman & Francesco Reggiani & Scott A. Richardson & İrem Tuna, 2018. "A framework for identifying accounting characteristics for asset pricing models, with an evaluation of book‐to‐price," European Financial Management, European Financial Management Association, vol. 24(4), pages 488-520, September.
    54. Jain, Ankit & Tantri, Prasanna & Thirumalai, Ramabhadran S., 2019. "Demand curves for stocks do not slope down: Evidence using an exogenous supply shock," Journal of Banking & Finance, Elsevier, vol. 104(C), pages 19-30.
    55. Raymond C. W. Leung & Yu-Man Tam, 2021. "Statistical Arbitrage Risk Premium by Machine Learning," Papers 2103.09987, arXiv.org.
    56. Romain Deguest & Lionel Martellini & Vincent Milhau, 2018. "A Reinterpretation of the Optimal Demand for Risky Assets in Fund Separation Theorems," Management Science, INFORMS, vol. 64(9), pages 4333-4347, September.
    57. Robert Novy-Marx, 2015. "Fundamentally, Momentum is Fundamental Momentum," NBER Working Papers 20984, National Bureau of Economic Research, Inc.
    58. repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
    59. Eugene F Fama & Kenneth R French, 2020. "Comparing Cross-Section and Time-Series Factor Models," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 1891-1926.
    60. Gu, Shihao & Kelly, Bryan & Xiu, Dacheng, 2021. "Autoencoder asset pricing models," Journal of Econometrics, Elsevier, vol. 222(1), pages 429-450.
    61. Eugene F Fama & Kenneth R French & Andrew KarolyiEditor, 2020. "Comparing Cross-Section and Time-Series Factor Models," Review of Finance, European Finance Association, vol. 33(5), pages 1891-1926.
    62. Shleifer, Andrei, 1986. "Do Demand Curves for Stocks Slope Down?," Journal of Finance, American Finance Association, vol. 41(3), pages 579-590, July.
    63. Andrew Grant & Steve Satchell, 2016. "Theoretical decompositions of the cross-sectional dispersion of stock returns," Quantitative Finance, Taylor & Francis Journals, vol. 16(2), pages 169-180, February.
    64. Berk, Jonathan B, 1995. "A Critique of Size-Related Anomalies," The Review of Financial Studies, Society for Financial Studies, vol. 8(2), pages 275-286.
    65. Dittmar, Robert F. & Lundblad, Christian T., 2017. "Firm characteristics, consumption risk, and firm-level risk exposures," Journal of Financial Economics, Elsevier, vol. 125(2), pages 326-343.
    66. Aydoğan Alti & Sheridan Titman, 2019. "A Dynamic Model of Characteristic-Based Return Predictability," NBER Working Papers 25777, National Bureau of Economic Research, Inc.
    67. Grinblatt, Mark & Han, Bing, 2005. "Prospect theory, mental accounting, and momentum," Journal of Financial Economics, Elsevier, vol. 78(2), pages 311-339, November.
    68. Goto, Shingo & Xu, Yan, 2015. "Improving Mean Variance Optimization through Sparse Hedging Restrictions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 50(6), pages 1415-1441, December.
    69. 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.
    70. Choi, Seung Mo & Kim, Hwagyun, 2014. "Momentum Effect as Part of a Market Equilibrium," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(1), pages 107-130, February.
    71. Manuel Ammann & Guillaume Coqueret & Jan-Philip Schade, 2016. "Characteristics-based portfolio choice with leverage constraints," Post-Print hal-02009129, HAL.
    72. 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.
    73. Admati, Anat R, 1985. "A Noisy Rational Expectations Equilibrium for Multi-asset Securities Markets," Econometrica, Econometric Society, vol. 53(3), pages 629-657, May.
    74. Manuel Ammann & Guillaume Coqueret & Jan-Philip Schade, 2016. "Characteristics-based portfolio choice with leverage constraints," Post-Print hal-02312221, HAL.
    75. Amit Goyal & Narasimhan Jegadeesh, 2018. "Cross-Sectional and Time-Series Tests of Return Predictability: What Is the Difference?," The Review of Financial Studies, Society for Financial Studies, vol. 31(5), pages 1784-1824.
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