Tail Risk in the Chinese Vegetable Oil Market: Based on the EGAS-EVT Model

This paper uses extreme value theory and exponential generalised autoregressive score models to estimate the tail extremes of financial return series. The peak-over-threshold method based on the generalised pareto distribution is combined with the EGAS models and the nonparametric quantile method is...

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Main Authors: Yueqiang Zhang, Guanghui Han, Hui Xie, Zixing Wang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2022/1904490
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author Yueqiang Zhang
Guanghui Han
Hui Xie
Zixing Wang
author_facet Yueqiang Zhang
Guanghui Han
Hui Xie
Zixing Wang
author_sort Yueqiang Zhang
collection DOAJ
description This paper uses extreme value theory and exponential generalised autoregressive score models to estimate the tail extremes of financial return series. The peak-over-threshold method based on the generalised pareto distribution is combined with the EGAS models and the nonparametric quantile method is used to determine the thresholds in the POT method, which is used to calculate the value-at-risk of financial markets and to perform backtesting. The empirical analysis was conducted on the soybean oil, rapeseed oil, and palm oil futures indices in the Chinese futures market. The study demonstrated that the EGAS-POT models based on nonparametric quantile thresholds can effectively characterise tail risk and provide a feasible measure of risk for investors.
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id doaj-art-93e163539fac4f0b8c00ade0a883b439
institution Kabale University
issn 1607-887X
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-93e163539fac4f0b8c00ade0a883b4392025-02-03T06:07:34ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/1904490Tail Risk in the Chinese Vegetable Oil Market: Based on the EGAS-EVT ModelYueqiang Zhang0Guanghui Han1Hui Xie2Zixing Wang3School of Management Engineering and BusinessSchool of Management Engineering and BusinessSchool of MarxismFaculty of Social Sciences and LawThis paper uses extreme value theory and exponential generalised autoregressive score models to estimate the tail extremes of financial return series. The peak-over-threshold method based on the generalised pareto distribution is combined with the EGAS models and the nonparametric quantile method is used to determine the thresholds in the POT method, which is used to calculate the value-at-risk of financial markets and to perform backtesting. The empirical analysis was conducted on the soybean oil, rapeseed oil, and palm oil futures indices in the Chinese futures market. The study demonstrated that the EGAS-POT models based on nonparametric quantile thresholds can effectively characterise tail risk and provide a feasible measure of risk for investors.http://dx.doi.org/10.1155/2022/1904490
spellingShingle Yueqiang Zhang
Guanghui Han
Hui Xie
Zixing Wang
Tail Risk in the Chinese Vegetable Oil Market: Based on the EGAS-EVT Model
Discrete Dynamics in Nature and Society
title Tail Risk in the Chinese Vegetable Oil Market: Based on the EGAS-EVT Model
title_full Tail Risk in the Chinese Vegetable Oil Market: Based on the EGAS-EVT Model
title_fullStr Tail Risk in the Chinese Vegetable Oil Market: Based on the EGAS-EVT Model
title_full_unstemmed Tail Risk in the Chinese Vegetable Oil Market: Based on the EGAS-EVT Model
title_short Tail Risk in the Chinese Vegetable Oil Market: Based on the EGAS-EVT Model
title_sort tail risk in the chinese vegetable oil market based on the egas evt model
url http://dx.doi.org/10.1155/2022/1904490
work_keys_str_mv AT yueqiangzhang tailriskinthechinesevegetableoilmarketbasedontheegasevtmodel
AT guanghuihan tailriskinthechinesevegetableoilmarketbasedontheegasevtmodel
AT huixie tailriskinthechinesevegetableoilmarketbasedontheegasevtmodel
AT zixingwang tailriskinthechinesevegetableoilmarketbasedontheegasevtmodel