In this work, the presence of long-memory components in asset returns is investigated. For a stock market, it surely possesses various periodic components. Furthermore, for various markets, the relationship between power and period of cycle components follows same power law with an exponent close to -0.92, spanning in a wide scale range from several days to nearly four years. This empirical result indicates that such power relationship may be universal and will enlighten modeling of market volatility. © 2012 Springer-Verlag GmbH.
CITATION STYLE
Yang, C. X., Zhang, Y. C., & Wu, H. F. (2012). Empirical study on the long-memory components in asset returns. In Advances in Intelligent and Soft Computing (Vol. 141 AISC, pp. 689–696). https://doi.org/10.1007/978-3-642-27948-5_91
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