Volatility Spillover in Foreign Exchange Markets. Issue 2 (December 2015)

• Record Type: Journal Article
• Authors: Rajhans, Rajni Kant; Jain, Anuradha
• Is Part Of: Paradigm. Volume 19:Issue 2(2015:Dec.)
• Page Start: 137
• Page End: 151
• Publication Date: 2015-12
• Subjects: Integration -- unit root test -- vector decomposition -- volatility; Management science -- Periodicals; Industrial management -- India -- Periodicals; 658
• DOI: 10.1177/0971890715609846
• Languages: English
• ISSNs: 0971-8907

Abstract

The recent financial crisis in the US and then the debt crisis in Europe have impacted the economical performance of the world in general, particularly the financial performance. With the increase in globalization and cross-border trade, the dependence of one economy on others increases. Portfolio diversification theory proposed by Markowitz, in 1952, suggests that if two markets are not significantly correlated, taking a position in that market helps in reducing the risk of the portfolio. The recent turmoil in these two markets (US and Europe) has affected the entire world and a lot of volatility has been observed in all financial markets around the world. Hence, it becomes imperative to identify the volatility spillover effect from one market to the other at this point. This article examines the volatility spillover of one market on other by taking five exchange rate markets: Great Britain pound (GBP), Euro (EUR), Canadian dollar (CAD) and Australian dollar (AUD) and Japanese yen (JPY) against the US dollar. Data from June 2008 to December 2012 were taken for consideration. Unit root test was used to identify the stationarity of data and the variance decomposition method was applied to identify the degree of influence of one market on other. The volatility spillover index, as suggested by Diebold and Yilmaz (2009), was created to identify the return spillover effect. Outcomes suggest that volatility on JPY and CAD follows the concept 'better to give than receive', while GBP as the net receiver goes along with the findings of Nikolaos (2012). A volatility spillover index of 11.11 per cent indicates low possibility of volatility transmission among considered currency pairs. This article will help traders, portfolio managers, policy makers and other market participants identify the source of volatility in considered currency markets and to take corrective measures.