Predictable markets? A news-driven model of the stock market
  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. 
Maxim Gusev, Dimitri Kroujiline, Boris Govorkov, Sergey V. Sharov,   Dmitry Ushanov and Maxim Zhilyaev
q-fin.GN physics.soc-ph