Beyond VaR and Expected Shortfall: The Stress Testing/Scenario Analysis approach for protecting the investors in the post-Covid19 era

G. Macchia
{"title":"Beyond VaR and Expected Shortfall: The Stress Testing/Scenario Analysis approach for protecting the investors in the post-Covid19 era","authors":"G. Macchia","doi":"10.47473/2020rmm0109","DOIUrl":null,"url":null,"abstract":"With political and economic scenarios changing at an ever faster pace, it is necessary to understand the potential effects on asset prices. Today, the topic of rising inflation in the US as well as in the Eurozone, although still considered temporary by central banks, confronts us with the \"unexpected risk\" of a deviation from the baseline scenario. This implies the risk of having an aggressive monetary policy in the US, in a restrictive direction, therefore harmful to the financial markets. In this context, the question arises: is it possible to contemplate these events beforehand and act in good time? The answer is Yes and good risk management practices are important, using stress testing / scenario analysis techniques to accompany risk measures such as VaR and Expected Shortfall. Implementing this concept, through the implementation of stress test / scenario analysis - Bloomberg Economics Forecast Models® and Bloomberg Factor Models® - the present work seeks to consider plausible adverse scenarios that may arise and to assess the related impacts in terms of portfolio. The final aim is to improve the information set for the investor, allowing him to avoid potential market falls, as far as possible, that could prevent him from achieving his investment objectives.","PeriodicalId":296057,"journal":{"name":"Risk Management Magazine","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Risk Management Magazine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47473/2020rmm0109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

With political and economic scenarios changing at an ever faster pace, it is necessary to understand the potential effects on asset prices. Today, the topic of rising inflation in the US as well as in the Eurozone, although still considered temporary by central banks, confronts us with the "unexpected risk" of a deviation from the baseline scenario. This implies the risk of having an aggressive monetary policy in the US, in a restrictive direction, therefore harmful to the financial markets. In this context, the question arises: is it possible to contemplate these events beforehand and act in good time? The answer is Yes and good risk management practices are important, using stress testing / scenario analysis techniques to accompany risk measures such as VaR and Expected Shortfall. Implementing this concept, through the implementation of stress test / scenario analysis - Bloomberg Economics Forecast Models® and Bloomberg Factor Models® - the present work seeks to consider plausible adverse scenarios that may arise and to assess the related impacts in terms of portfolio. The final aim is to improve the information set for the investor, allowing him to avoid potential market falls, as far as possible, that could prevent him from achieving his investment objectives.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
超越风险价值和预期不足:后covid - 19时代保护投资者的压力测试/情景分析方法
随着政治和经济形势以前所未有的速度变化,有必要了解对资产价格的潜在影响。如今,美国和欧元区通胀上升的话题虽然仍被各国央行视为暂时现象,但却让我们面临偏离基线情景的“意外风险”。这意味着,美国有可能采取限制性的激进货币政策,从而损害金融市场。在这种情况下,问题出现了:是否有可能事先考虑到这些事件并及时采取行动?答案是肯定的,良好的风险管理实践很重要,使用压力测试/场景分析技术来配合风险度量,如VaR和预期不足。通过实施压力测试/情景分析(Bloomberg Economics Forecast Models®和Bloomberg Factor Models®),本研究旨在考虑可能出现的可能的不利情景,并评估投资组合的相关影响。最终目的是改善投资者的信息集,使他尽可能避免潜在的市场下跌,这可能会阻止他实现他的投资目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The link between MiFID and Risk Appetite Framework as an application of best practices for wealth management and the entire value chain of the financial industry Operational Risk framework and Standardised Measurement Approach (SMA) Data Analytics for Credit Risk Models in Retail Banking: a new era for the banking system Modeling the interest rates term structure using Machine Learning: a Gaussian process regression approach Analysis of numerical integration schemes for the Heston model: a case study based on the pricing of investment certificates
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1