An Experimental Analysis of Investor Sentiment
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DOI: 10.1007/978-3-031-24486-5_6
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- Béatrice BOULU-RESHEF & Catherine BRUNEAU & Maxime NICOLAS & Thomas RENAULT, 2022. "An Experimental Analysis of Investor Sentiment," LEO Working Papers / DR LEO 2940, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
References listed on IDEAS
- Camerer, Colin F & Hogarth, Robin M, 1999.
"The Effects of Financial Incentives in Experiments: A Review and Capital-Labor-Production Framework,"
Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 7-42, December.
- Camerer, Colin F. & Hogarth, Robin M., 1999. "The Effects of Financial Incentives in Experiments: A Review and Capital-Labor-Production Framework," Working Papers 1059, California Institute of Technology, Division of the Humanities and Social Sciences.
- Òscar Jordà & Katharina Knoll & Dmitry Kuvshinov & Moritz Schularick & Alan M Taylor, 2019.
"The Rate of Return on Everything, 1870–2015,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1225-1298.
- Òscar Jordà & Katharina Knoll & Dmitry Kuvshinov & Moritz Schularick & Alan M. Taylor, 2017. "The Rate of Return on Everything, 1870–2015," NBER Working Papers 24112, National Bureau of Economic Research, Inc.
- Òscar Jordà & Katharina Knoll & Dmitry Kuvshinov & Moritz Schularick & Alan M. Taylor, 2018. "The Rate of Return on Everything, 1870-2015," CESifo Working Paper Series 6899, CESifo.
- Òscar Jordà & Katharina Knoll & Dmitry Kuvshinov & Moritz Schularick & Alan M. Taylor, 2017. "The Rate of Return on Everything, 1870–2015," Working Paper Series 2017-25, Federal Reserve Bank of San Francisco.
- Taylor, Alan M. & Knoll, Katharina & , & Schularick, Moritz & Jordà , Òscar, 2017. "The Rate of Return on Everything, 1870-2015," CEPR Discussion Papers 12509, C.E.P.R. Discussion Papers.
- Mohammed Abdellaoui & Han Bleichrodt & Hilda Kammoun, 2013.
"Do financial professionals behave according to prospect theory? An experimental study,"
Theory and Decision, Springer, vol. 74(3), pages 411-429, March.
- Mohammed Abdellaoui & Han Bleichrodt & Hilda Kammoun, 2013. "Do financial professionals behave according to prospect theory? An experimental study," Post-Print hal-01069185, HAL.
- Thomas Renault, 2020.
"Sentiment analysis and machine learning in finance: a comparison of methods and models on one million messages,"
Digital Finance, Springer, vol. 2(1), pages 1-13, September.
- Thomas Renault, 2020. "Sentiment analysis and machine learning in finance: a comparison of methods and models on one million messages," Post-Print hal-03205149, HAL.
- Thomas Renault, 2020. "Sentiment analysis and machine learning in finance: a comparison of methods and models on one million messages," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03205149, HAL.
- Trimborn, Simon & Härdle, Wolfgang Karl, 2018.
"CRIX an Index for cryptocurrencies,"
Journal of Empirical Finance, Elsevier, vol. 49(C), pages 107-122.
- Simon Trimborn & Wolfgang Karl Hardle, 2020. "CRIX an index for cryptocurrencies," Papers 2009.09782, arXiv.org.
- Trimborn, Simon & Härdle, Wolfgang Karl, 2020. "CRIX an Index for cryptocurrencies," IRTG 1792 Discussion Papers 2020-009, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Renault, Thomas, 2017.
"Intraday online investor sentiment and return patterns in the U.S. stock market,"
Journal of Banking & Finance, Elsevier, vol. 84(C), pages 25-40.
- Thomas Renault, 2017. "Intraday online investor sentiment and return patterns in the U.S. stock market," Post-Print hal-03205113, HAL.
- Malcolm Baker & Jeffrey Wurgler, 2007.
"Investor Sentiment in the Stock Market,"
Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
- Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," NBER Working Papers 13189, National Bureau of Economic Research, Inc.
- De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990.
"Noise Trader Risk in Financial Markets,"
Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
- J. Bradford De Long & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, "undated". "Noise Trader Risk in Financial Markets," J. Bradford De Long's Working Papers _124, University of California at Berkeley, Economics Department.
- De Long, J. Bradford & Shleifer, Andrei & Summers, Lawrence H. & Waldmann, Robert J., 1990. "Noise Trader Risk in Financial Markets," Scholarly Articles 3725552, Harvard University Department of Economics.
- Hun‐Tong Tan & Elaine Ying Wang & Bo Zhou, 2014. "When the Use of Positive Language Backfires: The Joint Effect of Tone, Readability, and Investor Sophistication on Earnings Judgments," Journal of Accounting Research, Wiley Blackwell, vol. 52(1), pages 273-302, March.
- Thomas Renault, 2017. "Intraday online investor sentiment and return patterns in the U.S. stock market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03205113, HAL.
- Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
- Beattie, Jane & Loomes, Graham, 1997. "The Impact of Incentives upon Risky Choice Experiments," Journal of Risk and Uncertainty, Springer, vol. 14(2), pages 155-168, March.
- Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
- Timm O. Sprenger & Philipp G. Sandner & Andranik Tumasjan & Isabell M. Welpe, 2014. "News or Noise? Using Twitter to Identify and Understand Company-specific News Flow," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 41(7-8), pages 791-830, September.
- Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
- Petra Kralj Novak & Jasmina Smailović & Borut Sluban & Igor Mozetič, 2015. "Sentiment of Emojis," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-22, December.
- Jeffrey Hales & Xi (Jason) Kuang & Shankar Venkataraman, 2011. "Who Believes the Hype? An Experimental Examination of How Language Affects Investor Judgments," Journal of Accounting Research, Wiley Blackwell, vol. 49(1), pages 223-255, March.
- Hailiang Chen & Prabuddha De & Yu (Jeffrey) Hu & Byoung-Hyoun Hwang, 2014. "Wisdom of Crowds: The Value of Stock Opinions Transmitted Through Social Media," The Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1367-1403.
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