{"title":"商品 ETF 的风险溢出效应和最优对冲：TVP-VAR 方法","authors":"Elroi Hadad , Davinder Malhotra , Evangelos Vasileiou","doi":"10.1016/j.frl.2024.106372","DOIUrl":null,"url":null,"abstract":"<div><div>Despite the growing popularity of commodity exchange traded funds (ETFs), research on their risk transmission dynamics is lacking. The study employs a Time-Varying Parameter Vector Autoregressive (TVP-VAR) model to analyze volatility transmission among commodity ETFs during significant events like the COVID-19 pandemic and geopolitical conflicts. It aims to minimize interconnectedness among ETFs to reduce associated risk using the Mean Co-skewness optimal portfolio (MCoP) technique. The findings emphasize the importance of adaptability in portfolio management and provide actionable information for investors seeking to optimize allocation and manage risk exposure effectively in dynamic market environments.</div></div>","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"70 ","pages":"Article 106372"},"PeriodicalIF":7.4000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk spillovers and optimal hedging in commodity ETFs: A TVP-VAR Approach\",\"authors\":\"Elroi Hadad , Davinder Malhotra , Evangelos Vasileiou\",\"doi\":\"10.1016/j.frl.2024.106372\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Despite the growing popularity of commodity exchange traded funds (ETFs), research on their risk transmission dynamics is lacking. The study employs a Time-Varying Parameter Vector Autoregressive (TVP-VAR) model to analyze volatility transmission among commodity ETFs during significant events like the COVID-19 pandemic and geopolitical conflicts. It aims to minimize interconnectedness among ETFs to reduce associated risk using the Mean Co-skewness optimal portfolio (MCoP) technique. The findings emphasize the importance of adaptability in portfolio management and provide actionable information for investors seeking to optimize allocation and manage risk exposure effectively in dynamic market environments.</div></div>\",\"PeriodicalId\":12167,\"journal\":{\"name\":\"Finance Research Letters\",\"volume\":\"70 \",\"pages\":\"Article 106372\"},\"PeriodicalIF\":7.4000,\"publicationDate\":\"2024-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Finance Research Letters\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1544612324014016\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Finance Research Letters","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1544612324014016","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Risk spillovers and optimal hedging in commodity ETFs: A TVP-VAR Approach
Despite the growing popularity of commodity exchange traded funds (ETFs), research on their risk transmission dynamics is lacking. The study employs a Time-Varying Parameter Vector Autoregressive (TVP-VAR) model to analyze volatility transmission among commodity ETFs during significant events like the COVID-19 pandemic and geopolitical conflicts. It aims to minimize interconnectedness among ETFs to reduce associated risk using the Mean Co-skewness optimal portfolio (MCoP) technique. The findings emphasize the importance of adaptability in portfolio management and provide actionable information for investors seeking to optimize allocation and manage risk exposure effectively in dynamic market environments.
期刊介绍：
Finance Research Letters welcomes submissions across all areas of finance, aiming for rapid publication of significant new findings. The journal particularly encourages papers that provide insight into the replicability of established results, examine the cross-national applicability of previous findings, challenge existing methodologies, or demonstrate methodological contingencies.
Papers are invited in the following areas:
Actuarial studies
Alternative investments
Asset Pricing
Bankruptcy and liquidation
Banks and other Depository Institutions
Behavioral and experimental finance
Bibliometric and Scientometric studies of finance
Capital budgeting and corporate investment
Capital markets and accounting
Capital structure and payout policy
Commodities
Contagion, crises and interdependence
Corporate governance
Credit and fixed income markets and instruments
Derivatives
Emerging markets
Energy Finance and Energy Markets
Financial Econometrics
Financial History
Financial intermediation and money markets
Financial markets and marketplaces
Financial Mathematics and Econophysics
Financial Regulation and Law
Forecasting
Frontier market studies
International Finance
Market efficiency, event studies
Mergers, acquisitions and the market for corporate control
Micro Finance Institutions
Microstructure
Non-bank Financial Institutions
Personal Finance
Portfolio choice and investing
Real estate finance and investing
Risk
SME, Family and Entrepreneurial Finance
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
