Nasir Khan , Sami Mejri , Arturo Leccadito , Sang Hoon Kang
{"title":"地缘政治风险、宏观经济因素和战争时期的不同资产:对羊群和投资组合多样化的影响","authors":"Nasir Khan , Sami Mejri , Arturo Leccadito , Sang Hoon Kang","doi":"10.1016/j.econmod.2025.107312","DOIUrl":null,"url":null,"abstract":"<div><div>This study examines dynamic connectedness and portfolio optimization among Gold, Bitcoin, Silver, Green bond, the S&P500 index, and expected geopolitical risk (GPR) during the Russia–Ukraine and Palestine–Israel conflicts. It employs a comprehensive array of methodologies, including the wavelet quantile vector autoregression method, revealing weak static and time-varying shock spillovers, and the wavelet cross quantilogram, elucidating heterogeneous and changing intrinsic dynamics across time frequency and quantiles. The frequency causality in quantiles reveals strong bidirectional causality across all quantiles and timescales between GPR and the five assets. These findings suggest that GPR and the five assets are marginally integrated with variable shock transmission across scales and frequency ranges. The extreme causality shock transmission indicates that the five assets may provide hedging and diversification opportunities at specific times. The findings of portfolio optimization reveal that tailored asset combinations and horizon-specific weight adjustments are essential to mitigate potential GPR-related downside risks during market stress. In the short and medium term (up to 32 days), optimal portfolio construction favours substantial allocations to Green Bonds to hedge risks from positions in Bitcoin and Silver. Over longer investment horizons (beyond 32 days) higher weights to Gold and the S&P 500 become more effective for mitigating downside risks.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"153 ","pages":"Article 107312"},"PeriodicalIF":4.7000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Geopolitical risk, macroeconomic factors and different assets during the war periods: Implications for herding and portfolio diversification\",\"authors\":\"Nasir Khan , Sami Mejri , Arturo Leccadito , Sang Hoon Kang\",\"doi\":\"10.1016/j.econmod.2025.107312\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study examines dynamic connectedness and portfolio optimization among Gold, Bitcoin, Silver, Green bond, the S&P500 index, and expected geopolitical risk (GPR) during the Russia–Ukraine and Palestine–Israel conflicts. It employs a comprehensive array of methodologies, including the wavelet quantile vector autoregression method, revealing weak static and time-varying shock spillovers, and the wavelet cross quantilogram, elucidating heterogeneous and changing intrinsic dynamics across time frequency and quantiles. The frequency causality in quantiles reveals strong bidirectional causality across all quantiles and timescales between GPR and the five assets. These findings suggest that GPR and the five assets are marginally integrated with variable shock transmission across scales and frequency ranges. The extreme causality shock transmission indicates that the five assets may provide hedging and diversification opportunities at specific times. The findings of portfolio optimization reveal that tailored asset combinations and horizon-specific weight adjustments are essential to mitigate potential GPR-related downside risks during market stress. In the short and medium term (up to 32 days), optimal portfolio construction favours substantial allocations to Green Bonds to hedge risks from positions in Bitcoin and Silver. Over longer investment horizons (beyond 32 days) higher weights to Gold and the S&P 500 become more effective for mitigating downside risks.</div></div>\",\"PeriodicalId\":48419,\"journal\":{\"name\":\"Economic Modelling\",\"volume\":\"153 \",\"pages\":\"Article 107312\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2025-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economic Modelling\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0264999325003074\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Modelling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0264999325003074","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Geopolitical risk, macroeconomic factors and different assets during the war periods: Implications for herding and portfolio diversification
This study examines dynamic connectedness and portfolio optimization among Gold, Bitcoin, Silver, Green bond, the S&P500 index, and expected geopolitical risk (GPR) during the Russia–Ukraine and Palestine–Israel conflicts. It employs a comprehensive array of methodologies, including the wavelet quantile vector autoregression method, revealing weak static and time-varying shock spillovers, and the wavelet cross quantilogram, elucidating heterogeneous and changing intrinsic dynamics across time frequency and quantiles. The frequency causality in quantiles reveals strong bidirectional causality across all quantiles and timescales between GPR and the five assets. These findings suggest that GPR and the five assets are marginally integrated with variable shock transmission across scales and frequency ranges. The extreme causality shock transmission indicates that the five assets may provide hedging and diversification opportunities at specific times. The findings of portfolio optimization reveal that tailored asset combinations and horizon-specific weight adjustments are essential to mitigate potential GPR-related downside risks during market stress. In the short and medium term (up to 32 days), optimal portfolio construction favours substantial allocations to Green Bonds to hedge risks from positions in Bitcoin and Silver. Over longer investment horizons (beyond 32 days) higher weights to Gold and the S&P 500 become more effective for mitigating downside risks.
期刊介绍:
Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.