Abstract

In this work, we have examined the volatility and disproportionate influence in foreign exchange markets of India and China, using daily data for the period 10 January 2006 to 23 October 2015. Generalised autoregressive conditional heteroscedasticity (GARCH) models are used to examine the volatility spillover between two markets. Exponential GARCH (EGARCH) model was utilised to catch the effect of good and bad news. Study revealed the bidirectional volatility and disproportionate influence among these markets during the period under observation. This examination would be useful to speculators and policymakers of the money-related markets to support hazard in current situation.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.