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Volumn 60, Issue 5, 1999, Pages 5305-5316

Scaling of the distribution of fluctuations of financial market indices

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE;

EID: 0000248001     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.60.5305     Document Type: Article
Times cited : (789)

References (84)
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    • P. Lévy, Théorie de l’Addition des Variables Aléatoires (Gauthier-Villars, Paris, 1937)
    • P. Lévy, Théorie de l’Addition des Variables Aléatoires (Gauthier-Villars, Paris, 1937).
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    • I. Kondor, J. Kértesz, Kluwer, Dordrecht
    • Econophysics: An Emerging Science, edited by I. Kondor and J. Kértesz (Kluwer, Dordrecht, 1999).
    • (1999) Econophysics: An Emerging Science
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    • Proceedings of the International Workshop on Econophysics and Statistical Finance, edited by R. N. Mantegna, special issue of Physica A 269 (1999)
    • Proceedings of the International Workshop on Econophysics and Statistical Finance, edited by R. N. Mantegna, special issue of Physica A 269 (1999).
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    • Application of Physics in Financial Analysis, edited by J.-P. Bouchaud, P. Alström, and K. B. Lauritsen, special issue of Int. J. Theor. Appl. Finance (to be published).
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    • The Econometrics of Financial Markets (Princeton University Press. Princeton, NJ, 1997)
    • J. Y. Campbell, A. Lo, and A. C. MacKinlay, The Econometrics of Financial Markets (Princeton University Press. Princeton, NJ, 1997).
    • Campbell, J.Y.1    Lo, A.2    MacKinlay, A.C.3
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    • J. Skjeltrop, thesis, University of Oslo Thesis 1998.
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    • Some previous studies, such as Ref. 10, were conducted with the return defined as the difference in the price and not the difference in the logarithm of the price. However, for events that are not too large, the two quantities have the same statistics
    • Some previous studies, such as Ref. 10, were conducted with the return defined as the difference in the price and not the difference in the logarithm of the price. However, for events that are not too large, the two quantities have the same statistics.
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    • Empirical studies on the distribution of returns often implicitly assume stationarity of returns. Nonstationarity in the time series of returns is an issue which has been investigated extensively (see Ref. 30 for a summary)
    • Empirical studies on the distribution of returns often implicitly assume stationarity of returns. Nonstationarity in the time series of returns is an issue which has been investigated extensively (see Ref. 30 for a summary).
  • 54
    • 85036403366 scopus 로고    scopus 로고
    • The S&P 500 index is the sum of the market capitalizations (share price multiplied with the number of outstanding shares) of 500 companies representing the major industries. Note that these are not necessarily the largest, and that the composition of the index changes slowly in time
    • The S&P 500 index is the sum of the market capitalizations (share price multiplied with the number of outstanding shares) of 500 companies representing the major industries. Note that these are not necessarily the largest, and that the composition of the index changes slowly in time.
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    • For foreign exchange markets the decay time is even smaller 33
    • For foreign exchange markets the decay time is even smaller 33.
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    • Ph.D. thesis, Universite de Paris XI, Paris, 1998;
    • R. Cont, Ph.D. thesis, Universite de Paris XI, Paris, 1998
    • Cont, R.1
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    • R. Conte-print cond-mat/9705075.
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    • The discreteness in the returns is due to the fact that stocks are priced in units of fractions of the U.S. dollar, usually 1/8, 1/16, or 1/32. The discreteness is not so evident in the S&P 500 index as it is the sum of 500 stocks, each with different weights
    • The discreteness in the returns is due to the fact that stocks are priced in units of fractions of the U.S. dollar, usually 1/8, 1/16, or 1/32. The discreteness is not so evident in the S&P 500 index as it is the sum of 500 stocks, each with different weights.
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    • The length of a trading day is presently 390 min. Before 1984, it was 360 min. This difference has not been taken into account when converting from a daily scale to a 1-min scale
    • The length of a trading day is presently 390 min. Before 1984, it was 360 min. This difference has not been taken into account when converting from a daily scale to a 1-min scale.
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    • H. E. Stanley, Ph.D. thesis, Harvard University, 1967
    • H. E. Stanley, Ph.D. thesis, Harvard University, 1967.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.