Multi-scaling in finance

被引:300
作者
Di Matteo, T. [1 ]
机构
[1] Australian Natl Univ, Res Sch Phys Sci & Engn, Dept Appl Math, Canberra, ACT 0200, Australia
基金
澳大利亚研究理事会;
关键词
econophysics; scaling; multifractal formalisms; time series analysis; LONG-RANGE CORRELATIONS; STATISTICAL PHYSICS; STOCK-MARKET; ASSET RETURNS; MULTIFRACTAL PROPERTIES; FRACTIONAL CALCULUS; EMPIRICAL-EVIDENCE; EMERGING MARKETS; HURST EXPONENT; EXCHANGE-RATES;
D O I
10.1080/14697680600969727
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
The most suitable paradigms and tools for investigating the scaling structure of financial time series are reviewed and discussed in the light of some recent empirical results. Different types of scaling are distinguished and several definitions of scaling exponents, scaling and multi-scaling processes are given. Methods to estimate such exponents from empirical financial data are reviewed. A detailed description of the Generalized Hurst exponent approach is presented and substantiated with an empirical analysis across different markets and assets.
引用
收藏
页码:21 / 36
页数:16
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