{"title":"Portfolio implications based on quantile connectedness among cryptocurrency, stock, energy, and safe-haven assets","authors":"Yulian Zhang , Shigeyuki Hamori","doi":"10.1016/j.jcomm.2025.100494","DOIUrl":null,"url":null,"abstract":"<div><div>We employ a quantile time-frequency connectedness model to investigate the interdependencies among four asset groups: cryptocurrencies (Bitcoin, Ethereum, and BNB), stocks (S&P 500, Euro Stoxx 50, FTSE 100, and Nikkei 225), safe-haven assets (gold, the US dollar, and treasury bills), and energy markets (oil, gas, coal, and electricity), using daily data from November 2017 to November 2024 (1625 observations). Our results reveal that, under normal market conditions, markets are more affected by their own shocks than by cross-market spillovers. This indicates that investors should pay closer attention to endogenous risks during stable periods. Moreover, we find that diversification across different asset classes is more effective under normal conditions, while investing within the same group may be more appropriate during bullish or bearish market phases. Market uncertainty also tends to rise as conditions become more extreme. This study is the first to confirm quantile-based connectedness both within and across asset classes in the time-frequency domain. Our findings contribute to a deeper understanding of market interactions and offer practical insights for investment decisions, portfolio management, and regulatory policy in an increasingly interconnected global financial environment.</div></div>","PeriodicalId":45111,"journal":{"name":"Journal of Commodity Markets","volume":"39 ","pages":"Article 100494"},"PeriodicalIF":3.7000,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Commodity Markets","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405851325000388","RegionNum":4,"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 employ a quantile time-frequency connectedness model to investigate the interdependencies among four asset groups: cryptocurrencies (Bitcoin, Ethereum, and BNB), stocks (S&P 500, Euro Stoxx 50, FTSE 100, and Nikkei 225), safe-haven assets (gold, the US dollar, and treasury bills), and energy markets (oil, gas, coal, and electricity), using daily data from November 2017 to November 2024 (1625 observations). Our results reveal that, under normal market conditions, markets are more affected by their own shocks than by cross-market spillovers. This indicates that investors should pay closer attention to endogenous risks during stable periods. Moreover, we find that diversification across different asset classes is more effective under normal conditions, while investing within the same group may be more appropriate during bullish or bearish market phases. Market uncertainty also tends to rise as conditions become more extreme. This study is the first to confirm quantile-based connectedness both within and across asset classes in the time-frequency domain. Our findings contribute to a deeper understanding of market interactions and offer practical insights for investment decisions, portfolio management, and regulatory policy in an increasingly interconnected global financial environment.
期刊介绍:
The purpose of the journal is also to stimulate international dialog among academics, industry participants, traders, investors, and policymakers with mutual interests in commodity markets. The mandate for the journal is to present ongoing work within commodity economics and finance. Topics can be related to financialization of commodity markets; pricing, hedging, and risk analysis of commodity derivatives; risk premia in commodity markets; real option analysis for commodity project investment and production; portfolio allocation including commodities; forecasting in commodity markets; corporate finance for commodity-exposed corporations; econometric/statistical analysis of commodity markets; organization of commodity markets; regulation of commodity markets; local and global commodity trading; and commodity supply chains. Commodity markets in this context are energy markets (including renewables), metal markets, mineral markets, agricultural markets, livestock and fish markets, markets for weather derivatives, emission markets, shipping markets, water, and related markets. This interdisciplinary and trans-disciplinary journal will cover all commodity markets and is thus relevant for a broad audience. Commodity markets are not only of academic interest but also highly relevant for many practitioners, including asset managers, industrial managers, investment bankers, risk managers, and also policymakers in governments, central banks, and supranational institutions.