Long-range power-law correlations in stock returns
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[1] C. Granger,et al. A long memory property of stock market returns and a new model , 1993 .
[2] H E Stanley,et al. Deviations from uniform power law scaling in nonstationary time series. , 1997, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[3] J. Geweke,et al. THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS , 1983 .
[4] Thomas Lux,et al. Long-term stochastic dependence in financial prices: evidence from the German stock market , 1996 .
[5] Fred R. Kaen,et al. R/S analysis of foreign exchange rates under two international monetary regimes , 1982 .
[6] H. Stanley,et al. Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. , 1995, Chaos.
[7] William N. Goetzmann,et al. Patterns in Three Centuries of Stock Market Prices , 1993 .
[8] Edgar E. Peters. Fractal Market Analysis: Applying Chaos Theory to Investment and Economics , 1994 .
[9] P. Cizeau,et al. Volatility distribution in the S&P500 stock index , 1997, cond-mat/9708143.
[10] P. Cizeau,et al. CORRELATIONS IN ECONOMIC TIME SERIES , 1997, cond-mat/9706021.
[11] C. Granger,et al. AN INTRODUCTION TO LONG‐MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING , 1980 .
[12] C. Granger,et al. Some Properties of Absolute Return, An Alternative Measure of Risk , 1995 .
[13] Robert Rosenman,et al. Predictable Behavior in Financial Markets: Some Evidence in Support ofHeiner's Hypothesis , 1986 .
[14] C. Peng,et al. Mosaic organization of DNA nucleotides. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[15] P. Cizeau,et al. Statistical properties of the volatility of price fluctuations. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.