  This paper proposes an exchange rate forecasting method by using the grey
relative combination approach of chaos wavelet SVM-Markov model. The problem of
short-term forecast of exchange rate by using the comprehensive method of the
phase space reconstitution and SVM method has been researched. We have
suggested a wavelet-SVR-Markov forecasting model to predict the finance time
series and demonstrated that can more improve the forecasting performance by
the rational combination of the forecast results through various combinational
tests. Our test result has been showed that the two-stage combination model is
more excellent than the normal combination model. Also we have comprehensively
estimated the combination forecast methods according to the forecasting
performance indicators.The estimated result have been shown that the
combination forecast methods on the basic of the degree of grey relation and
the optimal grey relation combination have fine forecast performance.
