DocumentCode :
3452331
Title :
HAR Model and Long Memory in Financial Market
Author :
Tang, Yong ; Chi, Yunguo
Author_Institution :
Sch. of Manage., Fuzhou Univ., Fuzhou, China
fYear :
2010
fDate :
27-28 Nov. 2010
Firstpage :
1
Lastpage :
5
Abstract :
With the development of nonlinear science, the existence of long memory in the financial market volatility has been found, which is inconsistent with the weak form of Efficient Market Hypothesis. With the brief introduction of Heterogeneous Market Hypothesis and Fractal Market Hypothesis, the long memory behavior of Shanghai Stock Index´s returns volatility is tested, based on H/S analysis and GPH method. By using the realized volatility to measure the true volatility and combining with the analysis of ARFIMA-RV and HAR-RV model, Shanghai Stock Index´s RV series´ long memory behavior is confirmed, and HAR-RV model behaves better in the prediction of volatility.
Keywords :
financial data processing; integration; stock markets; ARFIMA-RV; GPH method; H-S analysis; HAR-RV model; Shanghai stock index return volatility; financial market; financial market volatility; fractal market hypothesis; heterogeneous market hypothesis; long memory; Analytical models; Biological system modeling; Estimation; Mathematical model; Memory management; Predictive models; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database Technology and Applications (DBTA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6975-8
Electronic_ISBN :
978-1-4244-6977-2
Type :
conf
DOI :
10.1109/DBTA.2010.5658981
Filename :
5658981
Link To Document :
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