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Predicting investment behavior: An augmented reinforcement learning model · Study

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ArticlePredicting investment behavior: An augmented reinforcement learning model

Tetsuya Shimokawa2009

Article2009

Predicting investment behavior: An augmented reinforcement learning model

Tetsuya Shimokawa · Kyoko Suzuki · Tadanobu Misawa · Yoshitaka Okano

12 citations·0/0 files stored·Neurocomputing

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Decision-Making and Behavioral Economics Financial Markets and Investment Strategies Stock Market Forecasting Methods

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References

1986Generalized autoregressive conditional heteroskedasticity 1982Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation 1992Advances in prospect theory: Cumulative representation of uncertainty 1993Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency 1991Efficient Capital Markets: II 1988Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test 1998Are Investors Reluctant to Realize Their Losses?2003Behavioral Game Theory: Experiments in Strategic Interaction

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2012Comparing Traditional Statistics, Decision Tree Classification And Support Vector Machine Techniques For Financial Bankruptcy Prediction 2012A brain information-aided intelligent investment system

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Year2009

Typearticle

Published2009-06-22

VenueNeurocomputing

ISSN-L0925-2312

Languageen

Citations12

Files0 public / 0

ShelfDecision-Making and Behavioral Economics

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doi10.1016/j.neucom.2008.11.031

openalex_workW2013158046

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