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KIAM Preprint  69, Moscow, 2010
Authors: Kudryavtsev M.Yu.
Predicting algorithm of strong falls of Dow Jones Industrial Average
In this work problem of Dow Jones falls forecasting is considered. Financial and seismic time series is similar in respect of statistic properties. Based on earthquakes forecasting techniques predictive algorithm is developed using changing of empirical distribution function of detrended time series of closing prices at moment before crisis. The algorithm is able to forecast all of the index falls, which are classified like objects. Trading strategy is suggested to estimate practical applicability of algorithms results. Currently the algorithm is being checked by real time analysis. It has successfully predicted 3 objects in 2 years.
Publication language: russian, pages: 22
Research direction:
Mathematical modelling in actual problems of science and technics
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