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ASME Press Select Proceedings

International Conference on Future Computer and Communication, 3rd (ICFCC 2011)

ISBN:
9780791859711
No. of Pages:
524
Publisher:
ASME Press
Publication date:
2011

In this work, assuming as a model of price dynamic the Multifractional Processes with Random Exponent (MPRE), we analyze the behaviour of simulated time series in terms of autocorrelation. We show how, properly choosing the random exponent of MPRE, it is possible to capture the slow decay of autocorrelation of squared returns by preserving the absence of correlation in returns. The empirical analysis spotlights that a probable link between the previous two stylized facts and the fair behaviour of MPRE in their replication seems to be the continuity of the random exponent.

Abstract
Key Words
1 Introduction
2. The MPRE Model
3 Estimating the Random Exponent
4. Empirical Application
6. Conclusion and Further Development
References
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