Postfundamentals Price Drift in Capital Markets: A Regression Regularization Perspective

Published Online:https://doi.org/10.1287/mnsc.2021.4202

References

  • Abarbanell J, Bushee B (1998) Abnormal returns to a fundamental analysis strategy. Accounting Rev. 73(1):19–45.Google Scholar
  • Amihud Y (2002) Illiquidity and stock returns: Cross-section and time-series effects. J. Financial Markets 5(1):31–56.CrossrefGoogle Scholar
  • Ang A, Hodrick R, Xing Y, Zhang X (2006) The cross-section of volatility and expected returns. J. Finance 61(1):259–299.CrossrefGoogle Scholar
  • Antoniou C, Doukas J, Subrahmanyam A (2013) Cognitive dissonance, sentiment, and momentum. J. Financial Quant. Anal. 48(1):245–275.CrossrefGoogle Scholar
  • Antoniou C, Doukas J, Subrahmanyam A (2015) Investor sentiment, beta, and the cost of equity capital. Management Sci. 62(2):347–367.LinkGoogle Scholar
  • Ariely D, Loewenstein G, Prelec D (2003) “Coherent arbitrariness”: Stable demand curves without stable preferences. Quart. J. Econom. 118(1):73–106.CrossrefGoogle Scholar
  • Asness C, Frazzini A, Pedersen L (2019) Quality minus junk. Rev. Accounting Stud. 24:34–112.CrossrefGoogle Scholar
  • Avramov D, Cheng S, Hameed A (2016) Time-varying liquidity and momentum profits. J. Financial Quant. Anal. 51(6):1897–1923.CrossrefGoogle Scholar
  • Avramov D, Cheng S, Metzker L (2021a) Machine learning vs. economic restrictions: Evidence from stock return predictability. Management Sci., Forthcoming.Google Scholar
  • Avramov D, Kaplanski G, Subrahmanyam A (2021b) Moving average distance as a predictor of equity returns. Rev. Financial Econom. 39(2):127–145.CrossrefGoogle Scholar
  • Avramov D, Chordia T, Jostova G, Philipov A (2013) Anomalies and financial distress. J. Financial Econom. 108(1):139–159.CrossrefGoogle Scholar
  • Baker N, Haugen R (2012) Low risk stocks outperform within all observable markets of the world. Preprint, submitted May 10, https://dx.doi.org/10.2139/ssrn.2055431.Google Scholar
  • Baker M, Wurgler J (2006) Investor sentiment and the cross-section of stock returns. J. Finance 61(4):1645–1680.CrossrefGoogle Scholar
  • Ball R, Brown P (1968) An empirical evaluation of accounting income numbers. J. Accounting Res. 6(2):159–178.CrossrefGoogle Scholar
  • Banz R (1981) The relationship between return and market value of common stocks. J. Financial Econom. 9(1):3–18.CrossrefGoogle Scholar
  • Barber B, Odean T (2001) Boys will be boys: Gender, overconfidence, and common stock investment. Q. J. Econom. 116(1):261–292.CrossrefGoogle Scholar
  • Barberis N, Huang M, Santos T (2001) Prospect theory and asset prices. Q. J. Econom. 116(1):1–53.CrossrefGoogle Scholar
  • Barberis N, Mukherjee A, Wang B (2016) Prospect theory and stock returns: An empirical test. Rev. Financial Stud. 29(11):3068–3107.CrossrefGoogle Scholar
  • Barberis N, Shleifer A, Vishny R (1998) A model of investor sentiment. J. Financial Econom. 49(3):307–343.CrossrefGoogle Scholar
  • Bartram S, Grinblatt M (2018) Agnostic fundamental analysis works. J. Financial Econom. 128(1):125–147.CrossrefGoogle Scholar
  • Beggs A, Graddy K (2009) Anchoring effects: Evidence from art auctions. Amer. Econom. Rev. 99(3):1027–1039.CrossrefGoogle Scholar
  • Bernard V, Thomas J (1989) Post-earnings-announcement drift: delayed price response or risk premium? J. Accounting Res. 27:1–36.CrossrefGoogle Scholar
  • Bernard V, Thomas J (1990) Evidence that stock prices do not fully reflect the implications of current earnings for future earnings. J. Accounting Econom. 13(4):305–340.CrossrefGoogle Scholar
  • Bhootra A, Hur J (2013) The timing of 52-week high price and momentum. J. Banking Finance 37(10):3773–3782.CrossrefGoogle Scholar
  • Bouchaud J, Krüeger P, Landier A, Thesmar D (2019) Sticky expectations and the profitability anomaly. J. Finance 74(2):639–674.CrossrefGoogle Scholar
  • Bradshaw M, Richardson A, Sloan R (2006) The relation between corporate financing activities, analysts’ forecasts and stock returns. J. Accounting Econom. 42(1–2):53–85.CrossrefGoogle Scholar
  • Brock W, Lakonishok J, LeBaron B (1992) Simple technical trading rules and the stochastic properties of stock returns. J. Finance 47(5):1731–1764.CrossrefGoogle Scholar
  • Campbell S, Sharpe S (2009) Anchoring bias in consensus forecasts and its effect on market prices. J. Financial Quant. Anal. 44(2):369–390.CrossrefGoogle Scholar
  • Campbell J, Hilscher J, Szilagyi J (2008) In search of distress risk. J. Finance 63(6):2899–2939.CrossrefGoogle Scholar
  • Cen L, Hilary G, Wei J (2013) The role of anchoring bias in the equity market: Evidence from analysts’ earnings forecasts and stock returns. J. Financial Quant. Anal. 48(1):47–76.CrossrefGoogle Scholar
  • Chen L, Novy-Marx R, Zhang L (2011) An alternative three-factor model. Working paper, University of Rochester, NY.Google Scholar
  • Chen L, Pelger M, Zhu J (2019) Deep learning in asset pricing. Working paper, Stanford University, CA.Google Scholar
  • Chincarini L, Kim D (2006) Quantitative Equity Portfolio Management: An Active Approach to Portfolio Construction and Management (McGraw-Hill, New York).Google Scholar
  • Chinco A, Clark-Joseph A, Ye M (2019) Sparse signals in the cross-section of returns. J. Finance 74(1):449–492.CrossrefGoogle Scholar
  • Chordia T, Goyal A, Saretto A (2020) Anomalies and false rejections. Rev. Financial Stud. 33(5):2134–2179.Google Scholar
  • Chordia T, Roll R, Subrahmanyam A (2011) Recent trends in trading activity and market quality. J. Financial Econom. 101(2):243–263.CrossrefGoogle Scholar
  • Chordia T, Subrahmanyam A, Tong Q (2014) Have capital market anomalies attenuated in the recent era of high liquidity and trading activity? J. Accounting Econom. 58(1):41–58.CrossrefGoogle Scholar
  • Cohen L, Frazzini A (2008) Economic links and predictable returns. J. Finance 63(4):1977–2011.CrossrefGoogle Scholar
  • Cohen L, Lou D (2012) Complicated firms. J. Financial Econom. 104(2):383–400.CrossrefGoogle Scholar
  • Cohen L, Diether K, Malloy C (2013) Misvaluing innovation. Rev. Financial Stud. 26(3):635–666.CrossrefGoogle Scholar
  • Cohen R, Gompers P, Vuolteenaho T (2002) Who underreacts to cash-flow news? Evidence from trading between individuals and institutions. J. Financial Econom. 66(2–3):409–462.CrossrefGoogle Scholar
  • Cohen L, Malloy C, Nguyen Q (2020) Lazy prices. Working paper, J. Finance 75(3):1371–1415.Google Scholar
  • Coibion O, Gorodnichenko Y (2015) Information rigidity and the expectations formation process: A simple framework and new facts. Amer. Econom. Rev. 105(8):2644–2678.CrossrefGoogle Scholar
  • Cooper M, Gutierrez R, Hameed A (2004) Market states and momentum. J. Finance 59(3):1345–1365.CrossrefGoogle Scholar
  • Da Z, Gurun U, Warachka M (2014) Frog in the pan: Continuous information and momentum. Rev. Financial Stud. 27(7):2171–2218.CrossrefGoogle Scholar
  • Daniel K, Moskowitz T (2016) Momentum crashes. J. Financial Econom. 122(2):221–247.CrossrefGoogle Scholar
  • Daniel K, Titman S (2006) Market reactions to tangible and intangible information. J. Finance 61(4):1605–1643.CrossrefGoogle Scholar
  • Daniel K, Hirshleifer D, Subrahmanyam A (1998) Investor psychology and security market under- and overreactions. J. Finance 53(6):1839–1885.CrossrefGoogle Scholar
  • Daniel K, Hirshleifer D, Sun L (2020) Short- and long-horizon behavioral factors. Rev. Financial Stud. 33(4):1673–1736.CrossrefGoogle Scholar
  • Datar V, Naik N, Radcliffe R (1998) Liquidity and stock returns: An alternative test. J. Financial Markets 1(2):203–219.CrossrefGoogle Scholar
  • DeBondt W, Thaler R (1985) Does the stock market overreact? J. Finance 40(3):793–805.CrossrefGoogle Scholar
  • DellaVigna S, Pollet J (2009) Investor inattention and Friday earnings announcements. J. Finance 64(2):709–749.CrossrefGoogle Scholar
  • De Long B, Shleifer A, Summers L, Waldmann R (1990) Positive feedback investment strategies and destabilizing rational speculation. J. Finance 45(2):379–395.CrossrefGoogle Scholar
  • Diether K, Malloy C, Scherbina A (2002) Differences of opinion and the cross section of stock returns. J. Finance 57(5):2113–2141.CrossrefGoogle Scholar
  • Dougal C, Engelberg J, Parsons C, Van Wesep E (2015) Anchoring on credit spreads. J. Finance 70(3):1039–1080.CrossrefGoogle Scholar
  • Fairfield P, Whisenant S, Yohn T (2003) Accrued earnings and growth: Implications for future profitability and market mispricing. Accounting Rev. 78(1):353–371.CrossrefGoogle Scholar
  • Fama E, French K (1992) The cross section of expected stock returns. J. Finance 47(2):427–466.CrossrefGoogle Scholar
  • Fama E, French K (1993) Common risk factors in the returns of stocks and bonds. J. Financial Econom. 33(1):3–56.CrossrefGoogle Scholar
  • Fama E, French K (2006) Profitability, investment and average returns. J. Financial Econom. 82(3):491–518.CrossrefGoogle Scholar
  • Fama E, French K (2008) Dissecting anomalies. J. Finance 63(4):1653–1678.CrossrefGoogle Scholar
  • Fama E, French K (2015) A five-factor asset pricing model. J. Financial Econom. 116(1):1–22.CrossrefGoogle Scholar
  • Fama E, French K (2016) Dissecting anomalies with a five-factor model. Rev. Financial Stud. 29(1):69–103.CrossrefGoogle Scholar
  • Fama E, MacBeth J (1973) Risk, return, and equilibrium: Empirical tests. J. Political Econom. 81(3):607–636.CrossrefGoogle Scholar
  • Feng G, Giglio S, Xiu D (2020) Taming the factor zoo: A test of new factors. J. Finance 75(3):1327–1370.CrossrefGoogle Scholar
  • Feng G, Polson N, Xu J (2019) Deep learning in characteristics-sorted factor models. Working paper, University of Chicago, IL.Google Scholar
  • Frazzini A, Pedersen L (2014) Betting against beta. J. Financial Econom. 111(1):1–25.CrossrefGoogle Scholar
  • Furnham A, Boo H (2011) A literature review of the anchoring effect. J. Socio-Economics 40(1):35–42.CrossrefGoogle Scholar
  • George T, Hwang C (2004) The 52-week high and momentum investing. J. Finance 59(5):2145–2176.CrossrefGoogle Scholar
  • George T, Hwang C, Li Y (2015) Anchoring, the 52-week high and post earnings announcement drift. Working paper, University of Houston, TX.Google Scholar
  • Giglio S, Shue K (2014) No news is news: Do markets underreact to nothing? Rev. Financial Stud. 27(12):3389–3440.CrossrefGoogle Scholar
  • Grinblatt M, Han B (2005) Prospect theory, mental accounting, and momentum. J. Financial Econom. 78(2):311–339.CrossrefGoogle Scholar
  • Gu S, Kelly B, Xiu D (2020) Empirical asset pricing via machine learning. Rev. Financial Stud. 33(5):2223–2273.CrossrefGoogle Scholar
  • Haddad V, Kozak S, Santosh S (2020) Factor timing. Rev. Financial Stud. 33(5):1980–2018.CrossrefGoogle Scholar
  • Han Y, Yang K, Zhou G (2013) A new anomaly: The cross-sectional profitability of technical analysis. J. Financial Quant. Anal. 48(5):1433–1461.CrossrefGoogle Scholar
  • Han Y, Zhou G, Zhu Y (2016) A trend factor: Any economic gains from using information over investment horizons? J. Financial Econom. 122(2):352–375.CrossrefGoogle Scholar
  • Harvey C, Liu Y, Zhu H (2016) … and the cross-section of expected returns. Rev. Financial Stud. 29(1):5–68.CrossrefGoogle Scholar
  • Haugen R, Baker N (1996) Commonality in the determinants of expected stock returns. J. Financial Econom. 41(3):401–439.CrossrefGoogle Scholar
  • He S, Narayanamoorthy G (2020) Earnings acceleration and stock returns. J. Accounting Econom. 69(1):101238.CrossrefGoogle Scholar
  • Heston L, Sadka R (2008) Seasonality in the cross-section of stock returns. J. Financial Econom. 87(2):418–445.CrossrefGoogle Scholar
  • Hirshleifer D, Teoh S (2003) Limited attention, information disclosure, and financial reporting. J. Accounting Econom. 36(1–3):337–386.CrossrefGoogle Scholar
  • Hirshleifer D, Lim S, Teoh S (2009) Driven to distraction: Extraneous events and underreaction to earnings news. J. Finance 64(5):2289–2325.CrossrefGoogle Scholar
  • Hirshleifer D, Hou K, Teoh S, Zhang Y (2004) Do investors overvalue firms with bloated balance sheets? J. Accounting Econom. 38:297–331.CrossrefGoogle Scholar
  • Hoerl A, Kennard R (1970) Ridge regression: Applications to non-orthogonal problems. Technometrics 12(1):69–82.CrossrefGoogle Scholar
  • Hong H, Stein J (1999) A unified theory of underreaction, momentum trading and overreaction in asset markets. J. Finance 54(6):2143–2184.CrossrefGoogle Scholar
  • Hong H, Lim T, Stein J (2000) Bad news travels slowly: Size, analyst coverage and the profitability of momentum strategies. J. Finance 55(1):265–296.CrossrefGoogle Scholar
  • Hou K, Moskowitz T (2005) Market frictions, price delay, and the cross-section of expected returns. Rev. Financial Stud. 18(3):981–1020.CrossrefGoogle Scholar
  • Hou K, Xue C, Zhang L (2015) Digesting anomalies: An investment approach. Rev. Financial Stud. 28(3):650–705.CrossrefGoogle Scholar
  • Hou K, Xue C, Zhang L (2020) Replicating anomalies. Rev. Financial Stud. 33(5):2019–2133.CrossrefGoogle Scholar
  • Hu S (1997) Trading turnover and expected stock returns: The trading frequency hypothesis and evidence from the Tokyo Stock Exchange. Working paper, National Taiwan University, Taipei City.Google Scholar
  • Huang D, Zhang H, Zhou G (2019) Twin momentum: Fundamental trends matter. Working paper, Singapore Management University.Google Scholar
  • Ikenberry D, Lakonishok J, Vermaelen T (1995) Market underreaction to open market share repurchases. J. Financial Econom. 39(2–3):181–208.CrossrefGoogle Scholar
  • Jegadeesh N (1990) Evidence of predictable behavior of security returns. J. Finance 45(3):881–898.CrossrefGoogle Scholar
  • Jegadeesh N, Livnat J (2006) Revenue surprises and stock returns. J. Accounting Econom. 41(1–2):147–171.CrossrefGoogle Scholar
  • Jegadeesh N, Titman S (1993) Returns to buying winners and selling losers: Implications for stock market efficiency. J. Finance 48(1):65–91.CrossrefGoogle Scholar
  • Jia Y, Wu Y, Yan S (2019) Information spillovers and predictable currency returns: An analysis via machine learning. Working paper, Rutgers University, New Brunswick, NJ.Google Scholar
  • Jiang H, Li S, Wang H (2019) News momentum. Working paper, Michigan State University, East Lansing.Google Scholar
  • Kaustia M, Alho E, Puttonen V (2008) How much does expertise reduce behavioral biases? The case of anchoring effects in stock return estimates. Financial Management 37(3):391–412.CrossrefGoogle Scholar
  • Korajczyk R, Sadka R (2004) Are momentum profits robust to trading costs? J. Finance 59(3):1039–1082.CrossrefGoogle Scholar
  • Kozak S, Nagel S, Santosh S (2020) Shrinking the cross-section. J. Financial Econom. 135(2):271–292.CrossrefGoogle Scholar
  • Lev B, Thiagarajan S (1993) Fundamental information analysis. J. Accounting Res. 31(2):190–215.CrossrefGoogle Scholar
  • Li J, Yu J (2012) Investor attention, psychological anchors, and stock return predictability. J. Financial Econom. 104(2):401–419.CrossrefGoogle Scholar
  • Lo A, Hasanhodzic J (2009) The Heretics of Finance: Conversations with Leading Practitioners of Technical Analysis (Bloomberg Press, New York).Google Scholar
  • Lo A, Mamaysky H, Wang J (2000) Foundations of technical analysis: Computational algorithms, statistical inference, and empirical implementation. J. Finance 55(4):1705–1770.CrossrefGoogle Scholar
  • Loughran T, Ritter J (1995) The new issues puzzle. J. Finance 50(1):23–51.CrossrefGoogle Scholar
  • Luo J, Subrahmanyam A, Titman S (2020) Momentum and reversals when overconfidence investors underestimate their competition. Rev. Financial Stud. 34(1):351–393.Google Scholar
  • MacKinlay C (1995) Multifactor models do not explain deviations from the CAPM. J. Financial Econom. 38(1):3–28.CrossrefGoogle Scholar
  • McLean D, Pontiff J (2016) Does academic research destroy stock return predictability? J. Finance 71(1):5–32.CrossrefGoogle Scholar
  • Mohanram P (2005) Separating winners from losers among low book-to-market stocks using financial statement analysis. Rev. Accounting Stud. 10:133–170.CrossrefGoogle Scholar
  • Novy-Marx R (2013) The other side of value: The gross profitability premium. J. Financial Econom. 108(1):1–28.CrossrefGoogle Scholar
  • Novy-Marx R (2015) The cross-section of expected stock returns. Critical Finance Rev. 4:1–44.CrossrefGoogle Scholar
  • Novy-Marx R, Velikov M (2016) A taxonomy of anomalies and their trading costs. Rev. Financial Stud. 29(1):104–147.CrossrefGoogle Scholar
  • Ohlson J (1980) Financial ratios and the probabilistic prediction of bankruptcy. J. Accounting Res. 18(1):109–131.CrossrefGoogle Scholar
  • Ou J, Penman S (1989) Financial statement analysis and the prediction of stock returns. J. Accounting Econom. 11(4):295–329.CrossrefGoogle Scholar
  • Piotroski J (2000) Value investing: The use of historical financial statement information to separate winners from losers. J. Accounting Res. 38:1–52.CrossrefGoogle Scholar
  • Pontiff J, Woodgate A (2008) Share issuance and cross-sectional returns. J. Finance 63(2):921–945.CrossrefGoogle Scholar
  • Reinganum M (1981) Misspecification of capital asset pricing: Empirical anomalies based on earnings’ yields and market values. J. Financial Econom. 9(1):19–46.CrossrefGoogle Scholar
  • Rouwenhorst G (1998) International momentum strategies. J. Finance 53(1):267–284.CrossrefGoogle Scholar
  • Shefrin H, Statman M (2000) Behavioral portfolio theory. J. Financial Quant. Anal. 35(2):127–151.CrossrefGoogle Scholar
  • Shumway T (1997) The delisting bias in CRSP data. J. Finance 52(1):327–340.CrossrefGoogle Scholar
  • Sloan R (1996) Do stock prices fully reflect information in accruals and cash flows about future earnings? Accounting Rev. 71(3):289–315.Google Scholar
  • Stambaugh R, Yuan Y (2017) Mispricing factors. Rev. Financial Stud. 30(4):1270–1315.CrossrefGoogle Scholar
  • Stambaugh R, Yu J, Yuan Y (2012) The short of it: Investor sentiment and anomalies. J. Financial Econom. 104(2):288–302.CrossrefGoogle Scholar
  • Stickel S (1992) Reputation and performance among security analysts. J. Finance 47(5):1811–1836.CrossrefGoogle Scholar
  • Sullivan R, Timmermann A, White H (2001) Dangers of data mining: The case of calendar effects in stock returns. J. Econometrics 105(1):249–286.CrossrefGoogle Scholar
  • Thomas J, Zhang H (2002) Inventory changes and future returns. Rev. Accounting Stud. 7:163–187.CrossrefGoogle Scholar
  • Tibshirani R (1996) Regression shrinkage and selection via the Lasso. J. Roy. Statist. Soc. Ser. A 58(1):267–288.Google Scholar
  • Titman S, Wei J, Xie F (2004) Capital investments and stock returns. J. Financial Quant. Anal. 39(4):677–700.CrossrefGoogle Scholar
  • Tversky A, Kahneman D (1974) Judgment under uncertainty: Heuristics and biases. Sci. 185(4157):1124–1131.CrossrefGoogle Scholar
  • Wang K, Xu J (2015) Market volatility and momentum. J. Empirical Finance 30:79–91.CrossrefGoogle Scholar
  • Welch I (2000) Views of financial economists on the equity premium and other issues. J. Bus. 73(4):501–537.CrossrefGoogle Scholar
  • Womack K (1996) Do brokerage analysts’ recommendations have investment value? J. Finance 51(1):137–167.CrossrefGoogle Scholar
  • Xing Y (2008) Interpreting the value effect through the Q-theory: An empirical investigation. Rev. Financial Stud. 21(4):1767–1795.CrossrefGoogle Scholar
  • Yan X, Zheng L (2017) Fundamental analysis and the cross-section of stock returns: A data-mining approach. Rev. Financial Stud. 30(4):1382–1423.CrossrefGoogle Scholar
  • Zhu Y, Zhou G (2009) Technical analysis: An asset allocation perspective on the use of moving averages. J. Financial Econom. 92(3):519–544.CrossrefGoogle Scholar
  • Zou H, Hastie T (2005) Regularization and variable selection via the elastic net. J. Roy. Statist. Soc. Ser. B Statist. Methodology 67(2):301–320.CrossrefGoogle Scholar
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