{"title":"HEDGING EFFECTIVENESS OF CROSS-LISTED NIFTY INDEX FUTURES","authors":"K. K. Kumar, S. Bose","doi":"10.1142/S2194565919500118","DOIUrl":null,"url":null,"abstract":"This paper investigates the hedging effectiveness of cross-listed Nifty Index futures and compares the performance of constant and dynamic optimal hedging strategies. We use daily data of Nifty index traded on the National Stock Exchange (NSE), India and cross-listed Nifty futures traded on the Singapore Stock Exchange (SGX) for a period of six years from July 15, 2010 to July 15, 2016. Various competing forms of Multivariate Generalised Autoregressive Conditional Heteroscedasticity (MGARCH) models, such as Constant Conditional Correlation (CCC) and Dynamic Conditional Correlation (DCC), have been employed to capture the time-varying volatility. The results clearly depict that dynamic hedge ratios outperform traditional constant hedge ratios with the DCC–GARCH model being the most efficient with maximum variance reduction from the unhedged portfolio.","PeriodicalId":44015,"journal":{"name":"Global Economy Journal","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2019-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Economy Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S2194565919500118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 5
Abstract
This paper investigates the hedging effectiveness of cross-listed Nifty Index futures and compares the performance of constant and dynamic optimal hedging strategies. We use daily data of Nifty index traded on the National Stock Exchange (NSE), India and cross-listed Nifty futures traded on the Singapore Stock Exchange (SGX) for a period of six years from July 15, 2010 to July 15, 2016. Various competing forms of Multivariate Generalised Autoregressive Conditional Heteroscedasticity (MGARCH) models, such as Constant Conditional Correlation (CCC) and Dynamic Conditional Correlation (DCC), have been employed to capture the time-varying volatility. The results clearly depict that dynamic hedge ratios outperform traditional constant hedge ratios with the DCC–GARCH model being the most efficient with maximum variance reduction from the unhedged portfolio.
期刊介绍：
The GEJ seeks to publish original and innovative research, as well as novel analysis, relating to the global economy. While its main emphasis is economic, the GEJ is a multi-disciplinary journal. The GEJ''s contents mirror the diverse interests and approaches of scholars involved with the international dimensions of business, economics, finance, history, law, marketing, management, political science, and related areas. The GEJ also welcomes scholarly contributions from officials with government agencies, international agencies, and non-governmental organizations. One over-arching theme that unites IT&FA members and gives focus to this journal is the complex globalization process, involving flows of goods and services, money, people, and information.
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