Abstract
In this paper, we introduce moving average method to estimate the Hurst exponent of the Hang Seng Index data for the 22-year period, from December 31, 1986, to June 6, 2008 in the Hongkong stock market, a total of 5315 trading days. Further, we present a detailed comparison between the regular rescaled range method and the moving average method. We find that the long-range correlations are present by both the new method and the regular method.
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References
Hurst, H.E.: Long-term Storage capacity of Reservoirs. Transactions of the American Society of Civil Engineers 116, 770–808 (1951)
Carbone, A., Castelli, G., Stanley, H.: Time dependent Hurst exponent in financial time series. Physica A 344, 267–271 (2004)
Couillard, M., Davison, M.: A comment on measuring the Hurst exponent of financial time series. Physica A 348, 404–418 (2005)
Ausloos, M., Vandewalle, N., Boveroux, P.: Applications of statistical physics to economic and Financial topics. Physica A 274, 229–240 (1999)
Chen, C.-c., Lee, Y.-T., Chang, Y.-F.: A relationship between Hurst exponents of slip and waiting time data of earthquakes. Physica A: Statistical Mechanics and its Applications 387, 4643–4648 (2008)
Yang, Y.-g., Yuan, J.-f., Chen, S.-z.: R/S Analysis and its Application in the Forecast of Mine Inflows. Journal of China University of Mining and Technology 16, 425–428 (2006)
Koutsoyiannis, D.: Nonstationarity versus scaling in hydrology. Journal of Hydrology 324, 239–254 (2006)
Hong, Z., Keqiang, D.: Multifractal Analysis of Traffic Flow Time Series. Journal of Hebei University of Engineering 2009 26, 109–112 (2009)
Yau, H.-Y., Nieh, C.-C.: Testing for cointegration with threshold effect between stock prices and exchange rates in Japan and Taiwan. Japan and the World Economy 21, 292–300 (2009)
Mazouz, K., Joseph, N.L., Joulmer, J.: Stock price reaction following large one-day price changes: UK evidence. Journal of Banking & Finance 33, 1481–1493 (2009)
Yudong, Z., Lenan, W.: Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network. Expert Systems with Applications 36, 8849–8854 (2009)
Hsu, Y.-T., Liu, M.-C., Yeh, J., Hung, H.-F.: Forecasting the turning time of stock market based on Markov–Fourier grey model. Expert Systems with Applications 36, 8597–8603 (2009)
Majhi, R., Panda, G., Sahoo, G.: Development and performance evaluation of FLANN based model for forecasting of stock markets. Expert Systems with Applications 36, 6800–6808 (2009)
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Wang, N., Li, Y., Zhang, H. (2010). Hurst Exponent Estimation Based on Moving Average Method. In: Luo, Q. (eds) Advances in Wireless Networks and Information Systems. Lecture Notes in Electrical Engineering, vol 72. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14350-2_17
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DOI: https://doi.org/10.1007/978-3-642-14350-2_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14349-6
Online ISBN: 978-3-642-14350-2
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