{"title":"Stock, foreign exchange and commodity markets linkages: Implications for risk diversification and portfolio management","authors":"","doi":"10.1016/j.gfj.2024.101053","DOIUrl":null,"url":null,"abstract":"<div><div>We analyze connectedness for a system composed of 111 financial markets from January 3, 2011, to December 29, 2023. Stock, foreign exchange, and commodity markets are included in the sample. Using a two-stage approach based on Principal Component Analysis to remove common global factors affecting financial market returns, we employ a LASSO-VAR model to estimate the global network of financial markets. Our results reveal that financial markets are closely linked. Common global factors intensify spillovers between financial markets. After being removed, financial markets transmit significant idiosyncratic shocks that are not explained by systemic variations. Our results also allow us to accurately identify the markets that are idiosyncratically less vulnerable to liquidity shocks, and those that are most relevant transmitting this kind of disturbances. These findings are relevant for investment decisions, risk management, and financial regulators.</div></div>","PeriodicalId":46907,"journal":{"name":"Global Finance Journal","volume":null,"pages":null},"PeriodicalIF":5.5000,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Finance Journal","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S104402832400125X","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
We analyze connectedness for a system composed of 111 financial markets from January 3, 2011, to December 29, 2023. Stock, foreign exchange, and commodity markets are included in the sample. Using a two-stage approach based on Principal Component Analysis to remove common global factors affecting financial market returns, we employ a LASSO-VAR model to estimate the global network of financial markets. Our results reveal that financial markets are closely linked. Common global factors intensify spillovers between financial markets. After being removed, financial markets transmit significant idiosyncratic shocks that are not explained by systemic variations. Our results also allow us to accurately identify the markets that are idiosyncratically less vulnerable to liquidity shocks, and those that are most relevant transmitting this kind of disturbances. These findings are relevant for investment decisions, risk management, and financial regulators.
期刊介绍:
Global Finance Journal provides a forum for the exchange of ideas and techniques among academicians and practitioners and, thereby, advances applied research in global financial management. Global Finance Journal publishes original, creative, scholarly research that integrates theory and practice and addresses a readership in both business and academia. Articles reflecting pragmatic research are sought in areas such as financial management, investment, banking and financial services, accounting, and taxation. Global Finance Journal welcomes contributions from scholars in both the business and academic community and encourages collaborative research from this broad base worldwide.