Deep learning with long short-term memory networks for financial market predictions
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DOI: 10.1016/j.ejor.2017.11.054
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- Krauss, Christopher & Do, Xuan Anh & Huck, Nicolas, 2017.
"Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500,"
European Journal of Operational Research, Elsevier, vol. 259(2), pages 689-702.
- Krauss, Christopher & Do, Xuan Anh & Huck, Nicolas, 2016. "Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500," FAU Discussion Papers in Economics 03/2016, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
- Christopher Krauss & Xuan Anh Do & Nicolas Huck, 2017. "Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500," Post-Print hal-01515120, HAL.
- Jacobs, Heiko, 2015. "What explains the dynamics of 100 anomalies?," Journal of Banking & Finance, Elsevier, vol. 57(C), pages 65-85.
- repec:bla:ecorec:v:69:y:1993:i:206:p:233-38 is not listed on IDEAS
- Sermpinis, Georgios & Theofilatos, Konstantinos & Karathanasopoulos, Andreas & Georgopoulos, Efstratios F. & Dunis, Christian, 2013. "Forecasting foreign exchange rates with adaptive neural networks using radial-basis functions and Particle Swarm Optimization," European Journal of Operational Research, Elsevier, vol. 225(3), pages 528-540.
- 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.
- Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Roberto S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- LeBaron, Blake, 1992.
"Some Relations between Volatility and Serial Correlations in Stock Market Returns,"
The Journal of Business, University of Chicago Press, vol. 65(2), pages 199-219, April.
- Lebaron, B., 1990. "Some Relations Between Volatility And Serial Correlations In Stock Market Returns," Working papers 9002, Wisconsin Madison - Social Systems.
- Huck, Nicolas, 2009. "Pairs selection and outranking: An application to the S&P 100 index," European Journal of Operational Research, Elsevier, vol. 196(2), pages 819-825, July.
- Jacobs, Heiko & Weber, Martin, 2015. "On the determinants of pairs trading profitability," Journal of Financial Markets, Elsevier, vol. 23(C), pages 75-97.
- Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
- Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
- Lo, Andrew W & MacKinlay, A Craig, 1990.
"When Are Contrarian Profits Due to Stock Market Overreaction?,"
The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 175-205.
- Lo, Andrew W. (Andrew Wen-Chuan) & MacKinlay, Archie Craig, 1955-., 1989. "When are contrarian profits due to stock market overreaction?," Working papers 3008-89., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Andrew W. Lo & A. Craig MacKinlay, 1989. "When are Contrarian Profits Due to Stock Market Overreaction?," NBER Working Papers 2977, National Bureau of Economic Research, Inc.
- Evan Gatev & William N. Goetzmann & K. Geert Rouwenhorst, 2006.
"Pairs Trading: Performance of a Relative-Value Arbitrage Rule,"
The Review of Financial Studies, Society for Financial Studies, vol. 19(3), pages 797-827.
- William N. Goetzmann & Evan Geov Gatev & K. Geert Rouwenhorst, 1998. "Pairs Trading: Performance of a Relative Value Arbitrage Rule," Yale School of Management Working Papers ysm109, Yale School of Management.
- William Goetzmann & Evan g. Gatev & K. Geert Rouwenhorst, 1998. "Pairs Trading: Performance of a Relative Value Arbitrage Rule," Yale School of Management Working Papers ysm3, Yale School of Management.
- Evan Gatev & William N. Goetzmann & K. Geert Rouwenhorst, 1998. "Pairs Trading: Performance of a Relative Value Arbitrage Rule," Yale School of Management Working Papers ysm26, Yale School of Management.
- Evan G. Gatev & William N. Goetzmann & K. Geert Rouwenhorst, 1999. "Pairs Trading: Performance of a Relative Value Arbitrage Rule," NBER Working Papers 7032, National Bureau of Economic Research, Inc.
- Frazzini, Andrea & Pedersen, Lasse Heje, 2014.
"Betting against beta,"
Journal of Financial Economics, Elsevier, vol. 111(1), pages 1-25.
- Andrea Frazzini & Lasse H. Pedersen, 2010. "Betting Against Beta," NBER Working Papers 16601, National Bureau of Economic Research, Inc.
- Andrea Frazzini & Lasse Heje Pedersen, 2012. "Betting Against Beta," Swiss Finance Institute Research Paper Series 12-17, Swiss Finance Institute.
- Christopher Krauss & Anh Do & Nicolas Huck, 2017. "Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500," Post-Print hal-01768895, HAL.
- Brian Boyer & Todd Mitton & Keith Vorkink, 2010. "Expected Idiosyncratic Skewness," The Review of Financial Studies, Society for Financial Studies, vol. 23(1), pages 169-202, January.
- 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.
- Matthew Clegg & Christopher Krauss, 2018. "Pairs trading with partial cointegration," Quantitative Finance, Taylor & Francis Journals, vol. 18(1), pages 121-138, January.
- Bruce N. Lehmann, 1990. "Fads, Martingales, and Market Efficiency," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(1), pages 1-28.
- Lee, Darren D. & Chan, Howard & Faff, Robert W. & Kalev, Petko S., 2003. "Short-term contrarian investing--is it profitable? ... Yes and No," Journal of Multinational Financial Management, Elsevier, vol. 13(4-5), pages 385-404, December.
- Huck, Nicolas, 2010. "Pairs trading and outranking: The multi-step-ahead forecasting case," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1702-1716, December.
- 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.
- Alok Kumar, 2009. "Who Gambles in the Stock Market?," Journal of Finance, American Finance Association, vol. 64(4), pages 1889-1933, August.
- Marco Avellaneda & Jeong-Hyun Lee, 2010. "Statistical arbitrage in the US equities market," Quantitative Finance, Taylor & Francis Journals, vol. 10(7), pages 761-782.
- Timofei Bogomolov, 2013. "Pairs trading based on statistical variability of the spread process," Quantitative Finance, Taylor & Francis Journals, vol. 13(9), pages 1411-1430, September.
- Jegadeesh, Narasimhan & Titman, Sheridan, 1995. "Overreaction, Delayed Reaction, and Contrarian Profits," The Review of Financial Studies, Society for Financial Studies, vol. 8(4), pages 973-993.
- Fama, Eugene F & French, Kenneth R, 1996. "Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
- Conrad, Jennifer & Kaul, Gautam, 1989. "Mean Reversion in Short-Horizon Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 2(2), pages 225-240.
- 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.
- Hossein Rad & Rand Kwong Yew Low & Robert Faff, 2016. "The profitability of pairs trading strategies: distance, cointegration and copula methods," Quantitative Finance, Taylor & Francis Journals, vol. 16(10), pages 1541-1558, October.
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Keywords
Finance; Statistical arbitrage; LSTM; Machine learning; Deep learning;All these keywords.
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