To solve the higher peak and fat tail phenomenon, immediate memory and asymmetric features, this paper formulate the volatility model of exchange rate returns using the ARFIMA-EGARCH-M model.
Larvae called "bean insect", the old familiar about 90 mm long, head ofpeak green, the color is deep, the tail end Angle, from the abdomen is first quarter up, both sides have seven to white line.
Through the analysis of copper time series' characteristics, we found that copper yield rate time series had peak fat-tail characteristic, volatility clustering characteristic and obvious ARCH effect.