Acta mathematica scientia,Series A ›› 2004, Vol. 24 ›› Issue (1): 1-7.
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LIU Xiao-Mao, LI Chu-Lin
Online:
Published:
Supported by:
国家自然科学基金(70071012)资助项目
Abstract:
Nonsynchronous trading is one of the ho t issues in financial high frequency data processing. This paper extends the no n synchronous trading model studied in [1] and [2] for the financial security, and considers the statistical specialties of the observable return series for the e xtended model. At last, the estimators of parameters are discussed.
Key words: High Frequency data, Nonsynchronous trading, Return, Moment functions, Parameters estimation.
CLC Number:
LIU Xiao-Mao, LI Chu-Lin. ARMA Model of Nonsynchronous Trading and Return Analysis[J].Acta mathematica scientia,Series A, 2004, 24(1): 1-7.
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[1]Lo A, Mackinlay A C. An econometric analysis of nonsynchronous trading.Journal of Econometrics,1990,45: 181-212 [2]Ruey S Tsay.HighFrequency Data Analysis. Presented at Forum on Financial Mathematics,Beijing, 2000.Beijing:Beijing University, 2000 [3]George E P Box,Gwilym M Jenkins. Time Series Analysis: Forecasting and Control, Revised Edition.San Francisco: Holden Day Inc, 1976
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