期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 387, 期 22, 页码 5543-5551出版社
ELSEVIER
DOI: 10.1016/j.physa.2008.05.053
关键词
Hurst exponent; financial market; long memory
The analysis of long memory processes in capital markets has been one of the topics in finance, since the existence of the market memory could implicate the rejection of an efficient market hypothesis. The study of these processes in finance is realized through Hurst exponent and the most classical method applied is R/S analysis. In this paper we will discuss the efficiency of this methodology as well as some of its more important modifications to detect the long memory. We also propose the application of a classical geometrical method with short modifications and we compare both approaches. (C) 2008 Elsevier B.V. All rights reserved.
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