On distribution of number of trades in different time windows in the stock market
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DOI: 10.1016/j.physa.2004.12.048
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References listed on IDEAS
- Bacry, E. & Delour, J. & Muzy, J.F., 2001. "Modelling financial time series using multifractal random walks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 299(1), pages 84-92.
- Andrei Leonidov, 2004. "Long Memory In Stock Trading," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 7(07), pages 879-885.
- Bonanno, Giovanni & Lillo, Fabrizio & Mantegna, Rosario N, 2000.
"Dynamics of the number of trades of financial securities,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 280(1), pages 136-141.
- Giovanni Bonanno & Fabrizio Lillo & Rosario N. Mantegna, 1999. "Dynamics of the Number of Trades of Financial Securities," Papers cond-mat/9912006, arXiv.org.
- Kaushik Matia & Yosef Ashkenazy & H. Eugene Stanley, 2003. "Multifractal Properties of Price Fluctuations of Stocks and Commodities," Papers cond-mat/0308012, arXiv.org.
- repec:cup:cbooks:9780521819169 is not listed on IDEAS
- Andrei Leonidov, 2003. "Long Memory in Stock Trading," Papers cond-mat/0303222, arXiv.org, revised Feb 2004.
- Gençay, Ramazan & Dacorogna, Michel & Muller, Ulrich A. & Pictet, Olivier & Olsen, Richard, 2001. "An Introduction to High-Frequency Finance," Elsevier Monographs, Elsevier, edition 1, number 9780122796715.
- Jean-Philippe Bouchaud & Marc Potters & Martin Meyer, 1999. "Apparent multifractality in financial time series," Science & Finance (CFM) working paper archive 9906347, Science & Finance, Capital Fund Management.
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Cited by:
- Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frederic Abergel, 2011. "Econophysics review: II. Agent-based models," Quantitative Finance, Taylor & Francis Journals, vol. 11(7), pages 1013-1041.
- Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frédéric Abergel, 2011. "Econophysics review: I. Empirical facts," Post-Print hal-00621058, HAL.
- Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frederic Abergel, 2011. "Econophysics review: I. Empirical facts," Quantitative Finance, Taylor & Francis Journals, vol. 11(7), pages 991-1012.
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