{"title":"全球经济政策方向性不确定性对印度股市波动的影响:新证据","authors":"Aswini Kumar Mishra, Anand Theertha Nakhate, Yash Bagra, Abinash Singh, Bibhu Prasad Kar","doi":"10.1007/s10690-023-09421-y","DOIUrl":null,"url":null,"abstract":"<div><p>This paper examines the effect of economic policy uncertainty (EPU) on the Indian capital market using the generalized autoregressive conditional heteroscedastic mixed data sampling (GARCH-MIDAS) approach. This study also disintegrates the Global EPU (GEPU) on its components using identity functions such as up, down, and composite parts dependent on the adjustment in the heading of the EPU and GEPU and tests the linkages among these parameters and the Indian securities exchange instability. Our empirical study shows that GEPU positively and significantly impacts the Indian capital market's volatility. That indicates that the Indian capital exchange volatility will also be unstable when the global economic policy uncertainty is higher. Further, based on the dynamic directions of EPU and GEPU, our results show that, in diverse situations, directional GEPU may present differently in predicting the uncertainty in the Indian capital market. This is primarily so when EPU and GEPU climb in the same period when our approach can obtain more powerful prediction precision.</p></div>","PeriodicalId":54095,"journal":{"name":"Asia-Pacific Financial Markets","volume":"31 3","pages":"423 - 452"},"PeriodicalIF":2.5000,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Impact of Directional Global Economic Policy Uncertainty on Indian Stock Market Volatility: New Evidence\",\"authors\":\"Aswini Kumar Mishra, Anand Theertha Nakhate, Yash Bagra, Abinash Singh, Bibhu Prasad Kar\",\"doi\":\"10.1007/s10690-023-09421-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper examines the effect of economic policy uncertainty (EPU) on the Indian capital market using the generalized autoregressive conditional heteroscedastic mixed data sampling (GARCH-MIDAS) approach. This study also disintegrates the Global EPU (GEPU) on its components using identity functions such as up, down, and composite parts dependent on the adjustment in the heading of the EPU and GEPU and tests the linkages among these parameters and the Indian securities exchange instability. Our empirical study shows that GEPU positively and significantly impacts the Indian capital market's volatility. That indicates that the Indian capital exchange volatility will also be unstable when the global economic policy uncertainty is higher. Further, based on the dynamic directions of EPU and GEPU, our results show that, in diverse situations, directional GEPU may present differently in predicting the uncertainty in the Indian capital market. This is primarily so when EPU and GEPU climb in the same period when our approach can obtain more powerful prediction precision.</p></div>\",\"PeriodicalId\":54095,\"journal\":{\"name\":\"Asia-Pacific Financial Markets\",\"volume\":\"31 3\",\"pages\":\"423 - 452\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2023-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asia-Pacific Financial Markets\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10690-023-09421-y\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asia-Pacific Financial Markets","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s10690-023-09421-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
The Impact of Directional Global Economic Policy Uncertainty on Indian Stock Market Volatility: New Evidence
This paper examines the effect of economic policy uncertainty (EPU) on the Indian capital market using the generalized autoregressive conditional heteroscedastic mixed data sampling (GARCH-MIDAS) approach. This study also disintegrates the Global EPU (GEPU) on its components using identity functions such as up, down, and composite parts dependent on the adjustment in the heading of the EPU and GEPU and tests the linkages among these parameters and the Indian securities exchange instability. Our empirical study shows that GEPU positively and significantly impacts the Indian capital market's volatility. That indicates that the Indian capital exchange volatility will also be unstable when the global economic policy uncertainty is higher. Further, based on the dynamic directions of EPU and GEPU, our results show that, in diverse situations, directional GEPU may present differently in predicting the uncertainty in the Indian capital market. This is primarily so when EPU and GEPU climb in the same period when our approach can obtain more powerful prediction precision.
期刊介绍:
The current remarkable growth in the Asia-Pacific financial markets is certain to continue. These markets are expected to play a further important role in the world capital markets for investment and risk management. In accordance with this development, Asia-Pacific Financial Markets (formerly Financial Engineering and the Japanese Markets), the official journal of the Japanese Association of Financial Econometrics and Engineering (JAFEE), is expected to provide an international forum for researchers and practitioners in academia, industry, and government, who engage in empirical and/or theoretical research into the financial markets. We invite submission of quality papers on all aspects of finance and financial engineering.
Here we interpret the term ''financial engineering'' broadly enough to cover such topics as financial time series, portfolio analysis, global asset allocation, trading strategy for investment, optimization methods, macro monetary economic analysis and pricing models for various financial assets including derivatives We stress that purely theoretical papers, as well as empirical studies that use Asia-Pacific market data, are welcome.
Officially cited as: Asia-Pac Financ Markets