Long-term Correlations and Rare Events in Futures Volatility

This dissertation analyse the statistics of rare events in the futures market. We focus on the futures absolute return volatilities that are long-term correlated and show the e�ect of long-term memory on the return intervals of extreme events. The heuristic study has been investigated by some eco...

Full description

Bibliographic Details
Main Author: Gong, Bosichan
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2015
Online Access:https://eprints.nottingham.ac.uk/30127/
_version_ 1848793925662277632
author Gong, Bosichan
author_facet Gong, Bosichan
author_sort Gong, Bosichan
building Nottingham Research Data Repository
collection Online Access
description This dissertation analyse the statistics of rare events in the futures market. We focus on the futures absolute return volatilities that are long-term correlated and show the e�ect of long-term memory on the return intervals of extreme events. The heuristic study has been investigated by some econophysics methods. The results show that the return intervals distribution contain scaling property and the scaling form is approach to a stretched expo- nential function. The stretching exponent is identical to the long-term correlation exponent �. The long-term correlation has also been found among return intervals and the long-term correlated exponent is close to � as well. This paper (Cizeau et al. 1997) veri�ed results by the futures volatility.
first_indexed 2025-11-14T19:08:03Z
format Dissertation (University of Nottingham only)
id nottingham-30127
institution University of Nottingham Malaysia Campus
institution_category Local University
language English
last_indexed 2025-11-14T19:08:03Z
publishDate 2015
recordtype eprints
repository_type Digital Repository
spelling nottingham-301272018-02-02T11:06:20Z https://eprints.nottingham.ac.uk/30127/ Long-term Correlations and Rare Events in Futures Volatility Gong, Bosichan This dissertation analyse the statistics of rare events in the futures market. We focus on the futures absolute return volatilities that are long-term correlated and show the e�ect of long-term memory on the return intervals of extreme events. The heuristic study has been investigated by some econophysics methods. The results show that the return intervals distribution contain scaling property and the scaling form is approach to a stretched expo- nential function. The stretching exponent is identical to the long-term correlation exponent �. The long-term correlation has also been found among return intervals and the long-term correlated exponent is close to � as well. This paper (Cizeau et al. 1997) veri�ed results by the futures volatility. 2015-09-17 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/30127/1/BosichanGong4220828.pdf Gong, Bosichan (2015) Long-term Correlations and Rare Events in Futures Volatility. [Dissertation (University of Nottingham only)]
spellingShingle Gong, Bosichan
Long-term Correlations and Rare Events in Futures Volatility
title Long-term Correlations and Rare Events in Futures Volatility
title_full Long-term Correlations and Rare Events in Futures Volatility
title_fullStr Long-term Correlations and Rare Events in Futures Volatility
title_full_unstemmed Long-term Correlations and Rare Events in Futures Volatility
title_short Long-term Correlations and Rare Events in Futures Volatility
title_sort long-term correlations and rare events in futures volatility
url https://eprints.nottingham.ac.uk/30127/