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Volumn 314, Issue 1-4, 2002, Pages 749-755

Waiting-times and returns in high-frequency financial data: An empirical study

Author keywords

Autocorrelation function; Continuous time random walk; Econophysics; Statistical finance; Stochastic processes

Indexed keywords

CORRELATION METHODS; FUNCTIONS; PROBABILITY; RANDOM PROCESSES;

EID: 0036949980     PISSN: 03784371     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-4371(02)01048-8     Document Type: Conference Paper
Times cited : (443)

References (15)
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  • 3
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    • Fractional calculus and continuous-time finance II: The waiting-time distribution
    • Mainardi F., Raberto M., Gorenflo R., Scalas E. Fractional calculus and continuous-time finance II. the waiting-time distribution Physica A. 287:2000;468-481.
    • (2000) Physica A , vol.287 , pp. 468-481
    • Mainardi, F.1    Raberto, M.2    Gorenflo, R.3    Scalas, E.4
  • 4
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    • Fractional calculus and continuous-time finance III: The diffusion limit
    • M. Kohlmann, & S. Tang. Basel: Birkhäuser
    • Gorenflo R., Mainardi F., Scalas E., Raberto M. Fractional calculus and continuous-time finance III: the diffusion limit. Kohlmann M., Tang S. Mathematical Finance. 2001;171-180 Birkhäuser, Basel.
    • (2001) Mathematical Finance , pp. 171-180
    • Gorenflo, R.1    Mainardi, F.2    Scalas, E.3    Raberto, M.4
  • 5
    • 0000437484 scopus 로고
    • Fractional master equations and fractal time random walks
    • Hilfer R., Anton L. Fractional master equations and fractal time random walks. Phys. Rev. E. 51:1995;R848-R851.
    • (1995) Phys. Rev. E , vol.51
    • Hilfer, R.1    Anton, L.2
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    • Fractional calculus, integral and differential equations of fractional order
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    • Statistical properties of financial time series
    • Fudan University, Shangai, 10-24 August
    • R. Cont, Statistical properties of financial time series, Lectures, Symposium on Mathematical Finance, Fudan University, Shangai, 10-24 August 1999 (down-loadable from http://www.eleves.ens.fr:8080/home/cont/papers.html ).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.