Chapter 16

Long Range Dependence in Heavy Tailed Stochastic Processes

BORJANA RACHEVA-IOTOVA borjana.racheva@bravo-group.com    Faculty of Economics and Business Administration, University of Sofia, Bulgaria. Bravo Risk Management Group, 1101-C Eugenia Place, Carpinteria, Santa Barbara, CA 93013, USA

GENNADY SAMORODNITSKY* gennady@orie.cornell.edu    School of Operations Research and Industrial Engineering, and Department of Statistical Science, Cornell University, Ithaca, NY 14853, USA* G. Samorodnitsky’s research was partially supported by NSF grants DMS-0071073 and DMI-9713549 at Cornell University.

Abstract

The notion of long range dependence has traditionally been defined through a slow decay of correlations. This approach may be completely inappropriate ...

Get Handbook of Heavy Tailed Distributions in Finance now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.