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Original Articles

Predicting stock price movements: regressions versus economists

Pages 869-874 | Published online: 06 May 2009

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Christian Pierdzioch & Jan-Christoph Rülke. (2014) On the Internal Consistency of Stock Market Forecasts. Journal of Behavioral Finance 15:4, pages 351-359.
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Yifei Shen, Tian Liu, Wenke Liu, Ruiqing Xu, Zhuo Li & Jia Wang. (2021) Deep Reinforcement Learning for Stock Recommendation. Journal of Physics: Conference Series 2050:1, pages 012012.
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Silvija Vlah Jerić & Mihovil Anđelinović. (2018) Evaluating Croatian stock index forecasts. Empirical Economics 56:4, pages 1325-1339.
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Christian Pierdzioch & Marian Risse. (2018) A machine-learning analysis of the rationality of aggregate stock market forecasts. International Journal of Finance & Economics 23:4, pages 642-654.
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Aron Veress & Lars Kaiser. (2017) Forecasting quality of professionals: Does affiliation matter?. The Quarterly Review of Economics and Finance 66, pages 159-168.
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Alexander S. Belenky & Lyudmila G. Egorova. 2016. Optimization and Its Applications in Control and Data Sciences. Optimization and Its Applications in Control and Data Sciences 51 117 .
Björn Fastrich & Peter Winker. (2013) Combining Forecasts with Missing Data: Making Use of Portfolio Theory. Computational Economics 44:2, pages 127-152.
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Tim Richards. 2014. Investing Psychology. Investing Psychology 131 157 .
Jesper Rangvid, Maik Schmeling & Andreas Schrimpf. (2013) What do professional forecasters' stock market expectations tell us about herding, information extraction and beauty contests?. Journal of Empirical Finance 20, pages 109-129.
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Christian Pierdzioch & Jan-Christoph Rülke. (2012) Forecasting stock prices: Do forecasters herd?. Economics Letters 116:3, pages 326-329.
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Frank Brueckbauer. (2020) Do Financial Market Experts Know Their Theory? New Evidence From Survey Data. SSRN Electronic Journal.
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Aron Veress & Lars Kaiser. (2016) Forecasting Quality of Professionals: Does Affiliation Matter?. SSRN Electronic Journal.
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Manfred Gartner. (2008) Predicting the Presidential Election Cycle in US Stock Prices: Guinea Pigs versus the Pros. SSRN Electronic Journal.
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