{"title":"Modelling volatility effects between stock, oil, gold and forex markets: Evidence from India","authors":"V. Ingalhalli, Prachi Kolamker","doi":"10.21511/imfi.20(2).2023.05","DOIUrl":null,"url":null,"abstract":"Although several studies on the integration of diverse stock markets have been conducted in the financial literature, most of them have focused on the integration and volatility spillovers across established stock markets. The present study explores the dynamics of integration and volatility spillover across gold, oil, forex, and stock markets during four significant events in India: the pre-changed government regime, the post-changed government regime, the post-Brexit referendum date, and the COVID era. Daily data from 2010 to 2022 is divided into four categories using the Chow test. This is done to examine if these events’ financial turmoil affects market interconnectivity. The unit root test determines data stationarity. The ARCH LM test examines series volatility clustering, and the BEKK GARCH test examines market volatility spillover. Results indicate that gold cannot be considered a hedge or safe haven. Secondly, market interconnectedness increased during the crisis period. Third, domestic political and geopolitical conditions globally do not increase the scale of spillover amongst financial assets, though they impact the spillover’s magnitude. The results of this study have several important implications for portfolio diversification and risk management.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"47 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Investment Management and Financial Innovations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21511/imfi.20(2).2023.05","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0
Abstract
Although several studies on the integration of diverse stock markets have been conducted in the financial literature, most of them have focused on the integration and volatility spillovers across established stock markets. The present study explores the dynamics of integration and volatility spillover across gold, oil, forex, and stock markets during four significant events in India: the pre-changed government regime, the post-changed government regime, the post-Brexit referendum date, and the COVID era. Daily data from 2010 to 2022 is divided into four categories using the Chow test. This is done to examine if these events’ financial turmoil affects market interconnectivity. The unit root test determines data stationarity. The ARCH LM test examines series volatility clustering, and the BEKK GARCH test examines market volatility spillover. Results indicate that gold cannot be considered a hedge or safe haven. Secondly, market interconnectedness increased during the crisis period. Third, domestic political and geopolitical conditions globally do not increase the scale of spillover amongst financial assets, though they impact the spillover’s magnitude. The results of this study have several important implications for portfolio diversification and risk management.
期刊介绍:
The international journal “Investment Management and Financial Innovations” encompasses the results of theoretical and empirical researches carried out both on macro- and micro-levels, concerning various aspects of financial management and corporate governance, investments and innovations (including using of quantitative methods). It is focused on the international community of financiers, both academics and practitioners. Key topics: financial and investment markets; government policy and regulation; corporate governance; information and market efficiency; financial forecasting and simulation; financial institutions: investment companies, investment funds, investment banks, hedge funds, private pension funds; objects of real and financial investing; financial instruments and derivatives; efficiency of investment projects; econometric and statistic methods in project management; alternative investments; ratings and rating agencies.