Forecast Model Corresponding to Sudden Market Change

Abstract

In financial markets, sudden unexpected changes occur frequently. We propose a new forecast method based on paired evaluators consisting of the stable evaluator and the reactive evaluator that is good at detecting and adapting to the consecutive market changes. We conduct a back-testing using financial data in US. The experimental results show that our method is effective and robust even against late-2000s recessions.