Babita Panda, Ajaya Kumar Panda, Pradiptarathi Panda
{"title":"Macroeconomic Response to BRICS Countries Stock Markets Using Panel VAR","authors":"Babita Panda, Ajaya Kumar Panda, Pradiptarathi Panda","doi":"10.1007/s10690-023-09399-7","DOIUrl":null,"url":null,"abstract":"<div><p>This study measures the relationships between macroeconomic variables and stock returns for BRICS countries. The study uses monthly data of select macroeconomic variables collected from February 1997 to December 2019. In addition to the traditional macroeconomic variables, the study used the new age macroeconomic variables like- economic policy uncertainty index, Crude oil volatility index, Global financial stress index, and SENTIX global index. Using Panel VAR and Granger causality, the study finds that market returns positively influence exchange rates. In contrast, the market tends to react negatively to changes in consumer price inflation and foreign portfolio investment. However, the equity market is susceptible to the economic growth (IIP) of BRICS economies. These macroeconomic indicators exhibit significant influence on the stock markets.\n</p></div>","PeriodicalId":54095,"journal":{"name":"Asia-Pacific Financial Markets","volume":"30 1","pages":"259 - 272"},"PeriodicalIF":2.5000,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asia-Pacific Financial Markets","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s10690-023-09399-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 2
Abstract
This study measures the relationships between macroeconomic variables and stock returns for BRICS countries. The study uses monthly data of select macroeconomic variables collected from February 1997 to December 2019. In addition to the traditional macroeconomic variables, the study used the new age macroeconomic variables like- economic policy uncertainty index, Crude oil volatility index, Global financial stress index, and SENTIX global index. Using Panel VAR and Granger causality, the study finds that market returns positively influence exchange rates. In contrast, the market tends to react negatively to changes in consumer price inflation and foreign portfolio investment. However, the equity market is susceptible to the economic growth (IIP) of BRICS economies. These macroeconomic indicators exhibit significant influence on the stock markets.
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