Assessing the Performance of Value – at – Risk Models in Hang Seng Index and China Securities Index

Abstract: In the paper, we investigate the relative performance of different Value at Risk ( VaR ) models with the log returns of China(CSI300) and Hong Kong(HSI) stock index prior to and during the financial crisis. In addition to wider the range of VaR models we study the behaviour of Historical...

Full description

Bibliographic Details
Main Author: LI, VIVIANA
Format: Dissertation (University of Nottingham only)
Language:English
English
Published: 2012
Online Access:https://eprints.nottingham.ac.uk/26186/
_version_ 1848793126326501376
author LI, VIVIANA
author_facet LI, VIVIANA
author_sort LI, VIVIANA
building Nottingham Research Data Repository
collection Online Access
description Abstract: In the paper, we investigate the relative performance of different Value at Risk ( VaR ) models with the log returns of China(CSI300) and Hong Kong(HSI) stock index prior to and during the financial crisis. In addition to wider the range of VaR models we study the behaviour of Historical simulation, Hull- White ( Historical Simulation with volatility adjustement), Unconditional Extreme Value Thoery ( including GPD and GEV), conditional EVT and Hybird Historical Simulation (HHS)models to generate 95% confidence level estimates. Backtest including Kupiec test, independent test and Blanco and Ihle Test are used. Results show that none of the model can capture the Asian Financial Crisis by using Hang Seng Index. However, both CGPD and HHS model are able to capture the extreme events.
first_indexed 2025-11-14T18:55:20Z
format Dissertation (University of Nottingham only)
id nottingham-26186
institution University of Nottingham Malaysia Campus
institution_category Local University
language English
English
last_indexed 2025-11-14T18:55:20Z
publishDate 2012
recordtype eprints
repository_type Digital Repository
spelling nottingham-261862022-03-21T16:10:43Z https://eprints.nottingham.ac.uk/26186/ Assessing the Performance of Value – at – Risk Models in Hang Seng Index and China Securities Index LI, VIVIANA Abstract: In the paper, we investigate the relative performance of different Value at Risk ( VaR ) models with the log returns of China(CSI300) and Hong Kong(HSI) stock index prior to and during the financial crisis. In addition to wider the range of VaR models we study the behaviour of Historical simulation, Hull- White ( Historical Simulation with volatility adjustement), Unconditional Extreme Value Thoery ( including GPD and GEV), conditional EVT and Hybird Historical Simulation (HHS)models to generate 95% confidence level estimates. Backtest including Kupiec test, independent test and Blanco and Ihle Test are used. Results show that none of the model can capture the Asian Financial Crisis by using Hang Seng Index. However, both CGPD and HHS model are able to capture the extreme events. 2012-10-05 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/26186/2/dissertation1.pdf application/pdf en https://eprints.nottingham.ac.uk/26186/4/dissertation1.pdf LI, VIVIANA (2012) Assessing the Performance of Value – at – Risk Models in Hang Seng Index and China Securities Index. [Dissertation (University of Nottingham only)] (Unpublished)
spellingShingle LI, VIVIANA
Assessing the Performance of Value – at – Risk Models in Hang Seng Index and China Securities Index
title Assessing the Performance of Value – at – Risk Models in Hang Seng Index and China Securities Index
title_full Assessing the Performance of Value – at – Risk Models in Hang Seng Index and China Securities Index
title_fullStr Assessing the Performance of Value – at – Risk Models in Hang Seng Index and China Securities Index
title_full_unstemmed Assessing the Performance of Value – at – Risk Models in Hang Seng Index and China Securities Index
title_short Assessing the Performance of Value – at – Risk Models in Hang Seng Index and China Securities Index
title_sort assessing the performance of value – at – risk models in hang seng index and china securities index
url https://eprints.nottingham.ac.uk/26186/