如何在多元半参数风险价值投资组合中对冲天然气的极端风险?

IF 1.4 4区 经济学 Q3 ECONOMICS
Dejan Živkov, Boris Kuzman, Jonel Subić
{"title":"如何在多元半参数风险价值投资组合中对冲天然气的极端风险?","authors":"Dejan Živkov, Boris Kuzman, Jonel Subić","doi":"10.15240/tul/001/2023-3-008","DOIUrl":null,"url":null,"abstract":"The COVID-19 pandemic and the war in Ukraine have caused huge price changes in the natural gas market. This paper tries to minimise the extreme risk of natural gas, making two sixasset portfolios, where gas is combined with five developed and emerging European stock indices. We observe extreme risk from the aspect of classical parametric Value-at-Risk measure, but we also propose a new approach and optimise portfolios with semiparametric VaR as a target. Estimating the equicorrelation of the two portfolios, we determine that the emerging indices portfolio has a much lower level of integration, which is good for portfolio construction. Additionally, we divide the full sample into the pre-crisis and crisis periods to assess how portfolios look in the two intrinsically different subsamples. According to the results, both portfolios with the developed and emerging stock indices minimise extreme risk very well, but the latter portfolio is better. In the pre-crisis period, this advantage amounts to around 6% in the min-VaR portfolio and 3.5% in the min-mVaR portfolio. However, in the crisis period, the third and fourth moments come to the fore, meaning that hedging results increase significantly in favour of the emerging indices portfolios. In other words, the min-VaR and min-mVaR results of the emerging indices portfolio are better in amounts of more than 14% and 17%, respectively, vis-à-vis portfolios with the developed stock indices. We recommend using the semiparametric VaR metric because it is far more accurate and unbiased compared to the classical VaR since it considers all the key features of portfolio distribution.","PeriodicalId":46351,"journal":{"name":"E & M Ekonomie a Management","volume":"28 1","pages":"0"},"PeriodicalIF":1.4000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How to hedge extreme risk of natural gas in multivariate semiparametric value-at-risk portfolio?\",\"authors\":\"Dejan Živkov, Boris Kuzman, Jonel Subić\",\"doi\":\"10.15240/tul/001/2023-3-008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The COVID-19 pandemic and the war in Ukraine have caused huge price changes in the natural gas market. This paper tries to minimise the extreme risk of natural gas, making two sixasset portfolios, where gas is combined with five developed and emerging European stock indices. We observe extreme risk from the aspect of classical parametric Value-at-Risk measure, but we also propose a new approach and optimise portfolios with semiparametric VaR as a target. Estimating the equicorrelation of the two portfolios, we determine that the emerging indices portfolio has a much lower level of integration, which is good for portfolio construction. Additionally, we divide the full sample into the pre-crisis and crisis periods to assess how portfolios look in the two intrinsically different subsamples. According to the results, both portfolios with the developed and emerging stock indices minimise extreme risk very well, but the latter portfolio is better. In the pre-crisis period, this advantage amounts to around 6% in the min-VaR portfolio and 3.5% in the min-mVaR portfolio. However, in the crisis period, the third and fourth moments come to the fore, meaning that hedging results increase significantly in favour of the emerging indices portfolios. In other words, the min-VaR and min-mVaR results of the emerging indices portfolio are better in amounts of more than 14% and 17%, respectively, vis-à-vis portfolios with the developed stock indices. We recommend using the semiparametric VaR metric because it is far more accurate and unbiased compared to the classical VaR since it considers all the key features of portfolio distribution.\",\"PeriodicalId\":46351,\"journal\":{\"name\":\"E & M Ekonomie a Management\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"E & M Ekonomie a Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15240/tul/001/2023-3-008\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"E & M Ekonomie a Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15240/tul/001/2023-3-008","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

摘要

新冠肺炎疫情和乌克兰战争导致天然气市场价格发生巨大变化。本文试图将天然气的极端风险降至最低,制作了两个六资产组合,其中天然气与五个发达和新兴欧洲股票指数相结合。我们从经典的参数风险值度量的角度来观察极端风险,但我们也提出了一种新的方法,并以半参数风险值为目标来优化投资组合。通过对两个投资组合的等相关分析,我们发现新兴指数投资组合的整合程度要低得多,这有利于投资组合的构建。此外,我们将整个样本分为危机前和危机时期,以评估投资组合在两个本质上不同的子样本中的表现。结果表明,发达股指和新兴股指组合都能很好地降低极端风险,但新兴股指组合效果更好。在危机前,这一优势在最小风险投资组合中约为6%,在最小风险投资组合中约为3.5%。然而,在危机期间,第三和第四个时刻出现,这意味着对冲结果显著增加,有利于新兴指数投资组合。也就是说,新兴指数组合的min-VaR和min-mVaR结果分别大于14%和17%,优于发达股指-à-vis组合。我们建议使用半参数VaR指标,因为它比经典VaR更准确和无偏,因为它考虑了投资组合分布的所有关键特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How to hedge extreme risk of natural gas in multivariate semiparametric value-at-risk portfolio?
The COVID-19 pandemic and the war in Ukraine have caused huge price changes in the natural gas market. This paper tries to minimise the extreme risk of natural gas, making two sixasset portfolios, where gas is combined with five developed and emerging European stock indices. We observe extreme risk from the aspect of classical parametric Value-at-Risk measure, but we also propose a new approach and optimise portfolios with semiparametric VaR as a target. Estimating the equicorrelation of the two portfolios, we determine that the emerging indices portfolio has a much lower level of integration, which is good for portfolio construction. Additionally, we divide the full sample into the pre-crisis and crisis periods to assess how portfolios look in the two intrinsically different subsamples. According to the results, both portfolios with the developed and emerging stock indices minimise extreme risk very well, but the latter portfolio is better. In the pre-crisis period, this advantage amounts to around 6% in the min-VaR portfolio and 3.5% in the min-mVaR portfolio. However, in the crisis period, the third and fourth moments come to the fore, meaning that hedging results increase significantly in favour of the emerging indices portfolios. In other words, the min-VaR and min-mVaR results of the emerging indices portfolio are better in amounts of more than 14% and 17%, respectively, vis-à-vis portfolios with the developed stock indices. We recommend using the semiparametric VaR metric because it is far more accurate and unbiased compared to the classical VaR since it considers all the key features of portfolio distribution.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.70
自引率
13.30%
发文量
35
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信