Confidence intervals for multivariate value at risk

Confidence intervals for the y-quantile of a linear combination of N non-normal variates with a linear dependence structure would be useful to the financial institutions as the intervals enable the accuracy of the value at risk (VaR) of a portfolio of investments to be quantified. Presently, we con...

Full description

Bibliographic Details
Main Authors: Goh, Y. L., Pooi, Ah Hin *
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
Online Access:http://eprints.sunway.edu.my/201/
http://eprints.sunway.edu.my/201/1/Pooi%20Ah%20Hin%20-%20Confidence%20Intervals%20for%20Multivariate%20Value%20at%20Risk.pdf
_version_ 1848801770145316864
author Goh, Y. L.
Pooi, Ah Hin *
author_facet Goh, Y. L.
Pooi, Ah Hin *
author_sort Goh, Y. L.
building SU Institutional Repository
collection Online Access
description Confidence intervals for the y-quantile of a linear combination of N non-normal variates with a linear dependence structure would be useful to the financial institutions as the intervals enable the accuracy of the value at risk (VaR) of a portfolio of investments to be quantified. Presently, we construct 100(1-α) % confidence intervals for the y-quantile using the procedures based on bootstrap, normal approximation and hypothesis testing. We show that the method based on hypothesis testing produces confidence interval which is more satisfactory than those found by using bootstrap or normal approximation.
first_indexed 2025-11-14T21:12:44Z
format Conference or Workshop Item
id sunway-201
institution Sunway University
institution_category Local University
language English
last_indexed 2025-11-14T21:12:44Z
publishDate 2012
recordtype eprints
repository_type Digital Repository
spelling sunway-2012019-07-03T08:38:03Z http://eprints.sunway.edu.my/201/ Confidence intervals for multivariate value at risk Goh, Y. L. Pooi, Ah Hin * QA Mathematics Confidence intervals for the y-quantile of a linear combination of N non-normal variates with a linear dependence structure would be useful to the financial institutions as the intervals enable the accuracy of the value at risk (VaR) of a portfolio of investments to be quantified. Presently, we construct 100(1-α) % confidence intervals for the y-quantile using the procedures based on bootstrap, normal approximation and hypothesis testing. We show that the method based on hypothesis testing produces confidence interval which is more satisfactory than those found by using bootstrap or normal approximation. 2012 Conference or Workshop Item PeerReviewed text en http://eprints.sunway.edu.my/201/1/Pooi%20Ah%20Hin%20-%20Confidence%20Intervals%20for%20Multivariate%20Value%20at%20Risk.pdf Goh, Y. L. and Pooi, Ah Hin * (2012) Confidence intervals for multivariate value at risk. In: International Conference on Computer Engineering & Mathematical Sciences, 27 Aug 2012, Kuala Lumpur.
spellingShingle QA Mathematics
Goh, Y. L.
Pooi, Ah Hin *
Confidence intervals for multivariate value at risk
title Confidence intervals for multivariate value at risk
title_full Confidence intervals for multivariate value at risk
title_fullStr Confidence intervals for multivariate value at risk
title_full_unstemmed Confidence intervals for multivariate value at risk
title_short Confidence intervals for multivariate value at risk
title_sort confidence intervals for multivariate value at risk
topic QA Mathematics
url http://eprints.sunway.edu.my/201/
http://eprints.sunway.edu.my/201/1/Pooi%20Ah%20Hin%20-%20Confidence%20Intervals%20for%20Multivariate%20Value%20at%20Risk.pdf