Geopolitical risk and global financial cycle: Some forecasting experiments
In this study, we investigate the connection between geopolitical risk (GPR) and global financial cycle (GFCy) as well as whether the former has predictive value for the out‐of‐sample predictability of the latter. We utilize both the historical and recent GPR data and their variants, namely, GPR act...
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Veröffentlicht in: | Journal of forecasting 2023-01, Vol.42 (1), p.3-16 |
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description | In this study, we investigate the connection between geopolitical risk (GPR) and global financial cycle (GFCy) as well as whether the former has predictive value for the out‐of‐sample predictability of the latter. We utilize both the historical and recent GPR data and their variants, namely, GPR act covering all “acts” that constitute GPR such as war, nuclear invasion and terrorism, and GPR threat, which represents threats of these acts. We construct a predictive model that accommodates the salient features of the predicted and predictor series while the forecast evaluation is conducted for both in‐sample and out‐of‐sample periods. Our findings reveal that a rise in GPR discourages investments in risky assets and by implication worsens GFCy. The impact is more severe after the global financial crisis (gfc), and the GPR threat exerts more adverse effect on GFCy compared with GPR act regardless of whether historical GPR or recent GPR is used. Meanwhile, the predictive model of GFCy that accommodates the GPR data outperforms the benchmark model that ignores it both in the in‐sample and out‐of‐sample estimates albeit with improved forecast performance during the post‐gfc period and at a longer forecast horizon. However, the recent GPR data, which are broader in scope, offer better forecast accuracy than the historical GPR data. Additional analyses involving the vulnerability of global economic conditions reveal similar outcomes as GFCy. |
doi_str_mv | 10.1002/for.2904 |
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We utilize both the historical and recent GPR data and their variants, namely, GPR act covering all “acts” that constitute GPR such as war, nuclear invasion and terrorism, and GPR threat, which represents threats of these acts. We construct a predictive model that accommodates the salient features of the predicted and predictor series while the forecast evaluation is conducted for both in‐sample and out‐of‐sample periods. Our findings reveal that a rise in GPR discourages investments in risky assets and by implication worsens GFCy. The impact is more severe after the global financial crisis (gfc), and the GPR threat exerts more adverse effect on GFCy compared with GPR act regardless of whether historical GPR or recent GPR is used. Meanwhile, the predictive model of GFCy that accommodates the GPR data outperforms the benchmark model that ignores it both in the in‐sample and out‐of‐sample estimates albeit with improved forecast performance during the post‐gfc period and at a longer forecast horizon. However, the recent GPR data, which are broader in scope, offer better forecast accuracy than the historical GPR data. 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We utilize both the historical and recent GPR data and their variants, namely, GPR act covering all “acts” that constitute GPR such as war, nuclear invasion and terrorism, and GPR threat, which represents threats of these acts. We construct a predictive model that accommodates the salient features of the predicted and predictor series while the forecast evaluation is conducted for both in‐sample and out‐of‐sample periods. Our findings reveal that a rise in GPR discourages investments in risky assets and by implication worsens GFCy. The impact is more severe after the global financial crisis (gfc), and the GPR threat exerts more adverse effect on GFCy compared with GPR act regardless of whether historical GPR or recent GPR is used. Meanwhile, the predictive model of GFCy that accommodates the GPR data outperforms the benchmark model that ignores it both in the in‐sample and out‐of‐sample estimates albeit with improved forecast performance during the post‐gfc period and at a longer forecast horizon. However, the recent GPR data, which are broader in scope, offer better forecast accuracy than the historical GPR data. Additional analyses involving the vulnerability of global economic conditions reveal similar outcomes as GFCy.</description><subject>Economic conditions</subject><subject>Economic crisis</subject><subject>forecast evaluation</subject><subject>Forecasting</subject><subject>geopolitical risk (GPR)</subject><subject>Geopolitics</subject><subject>global financial cycle</subject><subject>GPR act</subject><subject>GPR threat</subject><subject>International finance</subject><subject>Political risk</subject><subject>predictability</subject><subject>Prediction models</subject><subject>Side effects</subject><subject>Terrorism</subject><subject>Threats</subject><subject>Variants</subject><issn>0277-6693</issn><issn>1099-131X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp10FtLwzAUB_AgCs4L-BEKvvjSmUvbpL7JcFMZDLyAbyHJTkZm19SkQ_ftzazgk085gR__c0HoguAxwZheWx_GtMbFARoRXNc5YeTtEI0w5Tyvqpodo5MY1xhjLggdoccZ-M43rndGNVlw8T1T7TJbNV6nv3Wtao1LldmZBm6yZ7-BLLUAo2Lv2lUGXx0Et4G2j2foyKomwvnve4pep3cvk_t8vpg9TG7nuWGkLHJhy4qBFQaUqZmuLQOhVWVwZZeca0aY0IYpsLi0uha6FEUJFKilZUKFZqfocsjtgv_YQuzl2m9Dm1pKygsmCGEYJ3U1KBN8jAGs7NKcKuwkwXJ_KZnWkPtLJZoNFIxvXfyDgvIKU8qqRPKBfLoGdv9Gyeni6SfyGyUFdPM</recordid><startdate>202301</startdate><enddate>202301</enddate><creator>Salisu, Afees A.</creator><creator>Omoke, Philip C.</creator><creator>Sikiru, Abdulsalam Abidemi</creator><general>Wiley Periodicals Inc</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><orcidid>https://orcid.org/0000-0003-0619-6545</orcidid></search><sort><creationdate>202301</creationdate><title>Geopolitical risk and global financial cycle: Some forecasting experiments</title><author>Salisu, Afees A. ; Omoke, Philip C. ; Sikiru, Abdulsalam Abidemi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3154-8f563ef8ceac93b9f3e8ba6c06fd77b3138bc3aef05fb98b5845e2e2f256c04b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Economic conditions</topic><topic>Economic crisis</topic><topic>forecast evaluation</topic><topic>Forecasting</topic><topic>geopolitical risk (GPR)</topic><topic>Geopolitics</topic><topic>global financial cycle</topic><topic>GPR act</topic><topic>GPR threat</topic><topic>International finance</topic><topic>Political risk</topic><topic>predictability</topic><topic>Prediction models</topic><topic>Side effects</topic><topic>Terrorism</topic><topic>Threats</topic><topic>Variants</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Salisu, Afees A.</creatorcontrib><creatorcontrib>Omoke, Philip C.</creatorcontrib><creatorcontrib>Sikiru, Abdulsalam Abidemi</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>Journal of forecasting</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Salisu, Afees A.</au><au>Omoke, Philip C.</au><au>Sikiru, Abdulsalam Abidemi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Geopolitical risk and global financial cycle: Some forecasting experiments</atitle><jtitle>Journal of forecasting</jtitle><date>2023-01</date><risdate>2023</risdate><volume>42</volume><issue>1</issue><spage>3</spage><epage>16</epage><pages>3-16</pages><issn>0277-6693</issn><eissn>1099-131X</eissn><abstract>In this study, we investigate the connection between geopolitical risk (GPR) and global financial cycle (GFCy) as well as whether the former has predictive value for the out‐of‐sample predictability of the latter. We utilize both the historical and recent GPR data and their variants, namely, GPR act covering all “acts” that constitute GPR such as war, nuclear invasion and terrorism, and GPR threat, which represents threats of these acts. We construct a predictive model that accommodates the salient features of the predicted and predictor series while the forecast evaluation is conducted for both in‐sample and out‐of‐sample periods. Our findings reveal that a rise in GPR discourages investments in risky assets and by implication worsens GFCy. The impact is more severe after the global financial crisis (gfc), and the GPR threat exerts more adverse effect on GFCy compared with GPR act regardless of whether historical GPR or recent GPR is used. 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subjects | Economic conditions Economic crisis forecast evaluation Forecasting geopolitical risk (GPR) Geopolitics global financial cycle GPR act GPR threat International finance Political risk predictability Prediction models Side effects Terrorism Threats Variants |
title | Geopolitical risk and global financial cycle: Some forecasting experiments |
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