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The Short of It: Investor Sentiment and Anomalies

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  • Robert F. Stambaugh
  • Jianfeng Yu
  • Yu Yuan

Abstract

This study explores the role of investor sentiment in a broad set of anomalies in cross-sectional stock returns. We consider a setting where the presence of market-wide sentiment is combined with the argument that overpricing should be more prevalent than underpricing, due to short-sale impediments. Long-short strategies that exploit the anomalies exhibit profits consistent with this setting. First, each anomaly is stronger—its long-short strategy is more profitable—following high levels of sentiment. Second, the short leg of each strategy is more profitable following high sentiment. Finally, sentiment exhibits no relation to returns on the long legs of the strategies.

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Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 16898.

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Date of creation: Mar 2011
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Publication status: published as 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.
Handle: RePEc:nbr:nberwo:16898

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Citations

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Cited by:
  1. Stefan Nagel, 2012. "Empirical Cross-Sectional Asset Pricing," NBER Working Papers 18554, National Bureau of Economic Research, Inc.
  2. Robert F. Stambaugh & Jianfeng Yu & Yu Yuan, 2012. "The Long of It: Odds that Investor Sentiment Spuriously Predicts Anomaly Returns," NBER Working Papers 18231, National Bureau of Economic Research, Inc.
  3. Xie, Jun & Yang, Chunpeng, 2013. "Shouldn't all eggs be putted in one basket? A portfolio model based on investor sentiment and inertial thinking," Economic Modelling, Elsevier, vol. 35(C), pages 682-688.
  4. Zhi Da & Qianqiu Liu & Ernst Schaumburg, 2011. "Decomposing short-term return reversal," Staff Reports 513, Federal Reserve Bank of New York.
  5. Yang, Chunpeng & Li, Jinfang, 2013. "Investor sentiment, information and asset pricing model," Economic Modelling, Elsevier, vol. 35(C), pages 436-442.
  6. Fabian Irek & Thorsten Lehnert, 2013. "Do Fund Investors Know that Risk is Sometimes not Priced?," LSF Research Working Paper Series 13-1, Luxembourg School of Finance, University of Luxembourg.
  7. Zhi Da & Ravi Jagannathan & Jianfeng Shen, 2012. "Building Castles in the Air: Evidence from Industry IPO Waves," NBER Working Papers 18555, National Bureau of Economic Research, Inc.
  8. Robert Novy-Marx, 2012. "Pseudo-Predictability in Conditional Asset Pricing Tests: Explaining Anomaly Performance with Politics, the Weather, Global Warming, Sunspots, and the Stars," NBER Working Papers 18063, National Bureau of Economic Research, Inc.
  9. Dong Lou & Christopher Polk, . "Inferring Arbitrage Activity from Return Correlations," FMG Discussion Papers dp721, Financial Markets Group.
  10. Yang, Chunpeng & Li, Jinfang, 2014. "Two-period trading sentiment asset pricing model with information," Economic Modelling, Elsevier, vol. 36(C), pages 1-7.
  11. : Constantinos Antonio & : John A. Doukas & : Avanidhar Subrahmanyam, 2013. "Investor Sentiment and Beta Pricing," Working Papers wpn13-05, Warwick Business School, Finance Group.
  12. Banegas, Ayelen & Gillen, Ben & Timmermann, Allan & Wermers, Russ, 2012. "The cross-section of conditional mutual fund performance in European stock markets," CFR Working Papers 09-03 [rev.], University of Cologne, Centre for Financial Research (CFR).
  13. Kim, Jun Sik & Ryu, Doojin & Seo, Sung Won, 2014. "Investor sentiment and return predictability of disagreement," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 166-178.
  14. Itamar Drechsler & Qingyi Freda Drechsler, 2014. "The Shorting Premium and Asset Pricing Anomalies," NBER Working Papers 20282, National Bureau of Economic Research, Inc.
  15. Fabian Irek & Thorsten Lehnert, 2013. "Do Fund Investors Know that Risk is Sometimes not Priced?," CREA Discussion Paper Series 13-1, Center for Research in Economic Analysis, University of Luxembourg.
  16. Galvani, Valentina & Gubellini, Stefano, 2013. "Mean–variance dominant trading strategies," Finance Research Letters, Elsevier, vol. 10(3), pages 142-150.

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