{"title":"如何在风险最小化的双资产组合中结合贵金属和玉米?","authors":"D. Živkov, P. Balaban, B. Kuzman","doi":"10.17221/411/2020-AGRICECON","DOIUrl":null,"url":null,"abstract":"This paper tries to find out which precious metal futures are the best hedging tools for corn spot commodity, taking into account three different risk measures – variance (Var), value at risk (VaR), and conditional value at risk (CVaR). For computation purposes, we use an optimal dynamic conditional correlation (DCC) specification for every considered pair. Our findings indicate that portfolio with gold outperforms the other three precious metals (silver, platinum, and palladium) with respect to all three risk metrics. The reason for such findings is two-fold. First, gold has the lowest average dynamic correlation with corn (below 11%), and gold also has the lowest average risk of all precious metals. The second-best combination is corn-platinum, whereas the corn-silver pair gives the worst hedging results. This happens because silver has the highest average dynamic correlation with corn (14.5%), but more importantly, silver is the riskiest commodity, which makes this asset unsuitable for combining with corn. According to the results, the ratio between corn and gold in a two-asset portfolio should be about 27 : 73.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":"86 1","pages":"60-69"},"PeriodicalIF":1.9000,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"How to combine precious metals with corn in a risk-minimizing two-asset portfolio?\",\"authors\":\"D. Živkov, P. Balaban, B. Kuzman\",\"doi\":\"10.17221/411/2020-AGRICECON\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper tries to find out which precious metal futures are the best hedging tools for corn spot commodity, taking into account three different risk measures – variance (Var), value at risk (VaR), and conditional value at risk (CVaR). For computation purposes, we use an optimal dynamic conditional correlation (DCC) specification for every considered pair. Our findings indicate that portfolio with gold outperforms the other three precious metals (silver, platinum, and palladium) with respect to all three risk metrics. The reason for such findings is two-fold. First, gold has the lowest average dynamic correlation with corn (below 11%), and gold also has the lowest average risk of all precious metals. The second-best combination is corn-platinum, whereas the corn-silver pair gives the worst hedging results. This happens because silver has the highest average dynamic correlation with corn (14.5%), but more importantly, silver is the riskiest commodity, which makes this asset unsuitable for combining with corn. According to the results, the ratio between corn and gold in a two-asset portfolio should be about 27 : 73.\",\"PeriodicalId\":48961,\"journal\":{\"name\":\"Agricultural Economics-Zemedelska Ekonomika\",\"volume\":\"86 1\",\"pages\":\"60-69\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2021-02-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agricultural Economics-Zemedelska Ekonomika\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.17221/411/2020-AGRICECON\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AGRICULTURAL ECONOMICS & POLICY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Economics-Zemedelska Ekonomika","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.17221/411/2020-AGRICECON","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRICULTURAL ECONOMICS & POLICY","Score":null,"Total":0}
How to combine precious metals with corn in a risk-minimizing two-asset portfolio?
This paper tries to find out which precious metal futures are the best hedging tools for corn spot commodity, taking into account three different risk measures – variance (Var), value at risk (VaR), and conditional value at risk (CVaR). For computation purposes, we use an optimal dynamic conditional correlation (DCC) specification for every considered pair. Our findings indicate that portfolio with gold outperforms the other three precious metals (silver, platinum, and palladium) with respect to all three risk metrics. The reason for such findings is two-fold. First, gold has the lowest average dynamic correlation with corn (below 11%), and gold also has the lowest average risk of all precious metals. The second-best combination is corn-platinum, whereas the corn-silver pair gives the worst hedging results. This happens because silver has the highest average dynamic correlation with corn (14.5%), but more importantly, silver is the riskiest commodity, which makes this asset unsuitable for combining with corn. According to the results, the ratio between corn and gold in a two-asset portfolio should be about 27 : 73.
期刊介绍:
An international peer-reviewed journal published under the auspices of the Czech Academy of Agricultural Sciences and financed by the Ministry of Agriculture of the Czech Republic. Published since 1954 (by 1999 under the title Zemědělská ekonomika).Thematic scope:
original scientific papers dealing with agricultural subjects from the sphere of economics, management, informatics, ecology, social economy and sociology. Since 1993 the papers continually treat problems which were published in the journal Sociologie venkova a zemědělství until now. An extensive scope of subjects in fact covers the whole of agribusiness, that means economic relations of suppliers and producers of inputs for agriculture and food industry, problems from the aspects of social economy and rural sociology and finally the economics of the population nutrition. Papers are published in English.