A DCC Analysis of Two Exchange Rate Market Returns Volatility with a Japan Dollar Factor: Study of Taiwan and Korea's Exchange Rate Markets

doi:10.1109/BIFE.2012.89

CNU IR > College of Smart Living > Dept. of Hospital and Health (including master's program) > Periodical Articles > Item 310902800/23286

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/23286

Title:	A DCC Analysis of Two Exchange Rate Market Returns Volatility with a Japan Dollar Factor: Study of Taiwan and Korea's Exchange Rate Markets
Authors:	Wann-Jyi Horng Chi-Ming Kuan
Contributors:	醫務管理系資訊管理系
Keywords:	Exchange rate market returns, DCC bivariate IGARCH model Student’s t distribution
Date:	2009-12
Issue Date:	2010-12-17 14:42:07 (UTC+8)
Abstract:	This paper discuss the associations and model construction between Taiwan and Korea’s exchange rate markets during the period from January 2000 to July 2008. The empirical results show that the mutual effects of the Taiwan and the Korea’s exchange rate markets may construct in bivariate IGARCH (1, 1) model. The empirical result also shows that there exists the positive relations between Taiwan and Korea’s exchange rate markets - namely two exchange rate market return’s volatility are synchronized influenced, and the average estimation value of the DCC coefficient of two exchange rate markets equals to 0.4073. The Japan’s exchange rate return’s volatility will also affect the variation risk of the Taiwan’s exchange rate market, but the Japan’s exchange rate return’s volatility will not affect the variation risk of the Korea’s exchange rate market. Furthermore, Taiwan and Korea's exchange rate markets do not have the asymmetrical effect in the research period.
Relation:	Journal of Convergence Information Technology 4(4)：p.7-14
Appears in Collections:	[Dept. of Hospital and Health (including master's program)] Periodical Articles [Dept. of Information Management] Periodical Articles

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	2596	View/Open

Loading...