Title of article :
Properties of some statistics for AR-ARCH model with application to technical analysis
Author/Authors :
Huang، نويسنده , , Xudong and Liu، نويسنده , , Wei، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Abstract :
In this paper, we investigate some popular technical analysis indexes for AR-ARCH model as real stock market. Under the given conditions, we show that the corresponding statistics are asymptotically stationary and the law of large numbers hold for frequencies of the stock prices falling out normal scope of these technical analysis indexes under AR-ARCH, and give the rate of convergence in the case of nonstationary initial values, which give a mathematical rationale for these methods of technical analysis in supervising the security trends.
Keywords :
AR-ARCH model , Technical analysis indexes , Asymptotically stationary , strong mixing , Rate of convergence
Journal title :
Journal of Computational and Applied Mathematics
Journal title :
Journal of Computational and Applied Mathematics