{"title":"美国气候政策不确定性与全球外汇市场之间的动态溢出效应:原油价格的传递效应。","authors":"Xin Li","doi":"10.1007/s12076-022-00318-4","DOIUrl":null,"url":null,"abstract":"<p><p>This study aims to investigate the time-varying spillover effects of the U.S. climate policy uncertainty (U.S. CPU) shock on crude oil prices and exchange rates by utilizing the DCC-GARCH connectedness approach. The results show that U.S.CPU is the largest net transmitter, followed by the crude oil price. Our outcomes also indicate that the Italian currency is the main net recipient and further reveal the pass-through effect of crude oil prices between U.S. CPU and exchange rates.</p>","PeriodicalId":44710,"journal":{"name":"Letters in Spatial and Resource Sciences","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9466306/pdf/","citationCount":"2","resultStr":"{\"title\":\"Dynamic spillovers between U.S. climate policy uncertainty and global foreign exchange markets: the pass-through effect of crude oil prices.\",\"authors\":\"Xin Li\",\"doi\":\"10.1007/s12076-022-00318-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study aims to investigate the time-varying spillover effects of the U.S. climate policy uncertainty (U.S. CPU) shock on crude oil prices and exchange rates by utilizing the DCC-GARCH connectedness approach. The results show that U.S.CPU is the largest net transmitter, followed by the crude oil price. Our outcomes also indicate that the Italian currency is the main net recipient and further reveal the pass-through effect of crude oil prices between U.S. CPU and exchange rates.</p>\",\"PeriodicalId\":44710,\"journal\":{\"name\":\"Letters in Spatial and Resource Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9466306/pdf/\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Letters in Spatial and Resource Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s12076-022-00318-4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/9/12 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Letters in Spatial and Resource Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s12076-022-00318-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/9/12 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"GEOGRAPHY","Score":null,"Total":0}
Dynamic spillovers between U.S. climate policy uncertainty and global foreign exchange markets: the pass-through effect of crude oil prices.
This study aims to investigate the time-varying spillover effects of the U.S. climate policy uncertainty (U.S. CPU) shock on crude oil prices and exchange rates by utilizing the DCC-GARCH connectedness approach. The results show that U.S.CPU is the largest net transmitter, followed by the crude oil price. Our outcomes also indicate that the Italian currency is the main net recipient and further reveal the pass-through effect of crude oil prices between U.S. CPU and exchange rates.
期刊介绍：
Letters in Spatial and Resource Sciences (LSRS) publishes high-quality, shorter papers on new theoretical or empirical results and on models and methods in the social sciences that contain a spatial dimension. Coverage includes environmental and resource economics, regional and urban economics, spatial econometrics, regional science, geography, demography, agricultural economics, GIS and city and regional planning. Examples of topics include, but are not limited to, environmental damage, urbanization, resource allocation, spatial-temporal data use, regional economic development and the application of existing and new methodologies.LSRS contributes to the communication of theories and methodologies across disciplinary borders. It offers quick dissemination and easy accessibility of new results. Officially cited as: Lett Spat Resour Sci
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