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Predictable markets? A news-driven model of the stock market

Authors :
Gusev, Maxim
Kroujiline, Dimitri
Govorkov, Boris
Sharov, Sergey V.
Ushanov, Dmitry
Zhilyaev, Maxim
Publication Year :
2014

Abstract

We attempt to explain stock market dynamics in terms of the interaction among three variables: market price, investor opinion and information flow. We propose a framework for such interaction and apply it to build a model of stock market dynamics which we study both empirically and theoretically. We demonstrate that this model replicates observed market behavior on all relevant timescales (from days to years) reasonably well. Using the model, we obtain and discuss a number of results that pose implications for current market theory and offer potential practical applications.<br />Comment: This is the version accepted for publication in a new journal Algorithmic Finance (http://algorithmicfinance.org). A draft was posted here on 29 April

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1404.7364
Document Type :
Working Paper