This study examines the long run impacts of equity market volatility on index returns of nine major international stock exchanges in the Western and Asian regions. This study employs the text-based Economic Market Volatility (EMV) index to measure the degree of uncertainty in the U.S. stock market. Using monthly data from December 2001 to August 2018, the estimation results derived using the standard and nonlinear ARDL models deliver several key messages. First, rising U. S. stock market volatility exhibits significant and negative impacts on stock market returns, except for the stock markets of China, Hong Kong, and India whose impacts are negative but insignificant. Second, the use of the nonlinear ARDL model does not show any signs of asymmetry in the relationship between stock market returns and changes in the EMV index, suggesting that the change in the EMV index has symmetric effects on the changes in major stock indices.
机构:
King Abdulaziz Univ, Fac Sci, Dept Math, Nonlinear Anal & Appl Math NAAM Res Grp, Jeddah, Saudi ArabiaUniv Vaasa, Sch Accounting & Finance, Vaasa, Finland
机构:
Nonlinear Analysis and Applied Mathematics (NAAM)-Research Group, Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi ArabiaSchool of Accounting and Finance, University of Vaasa, Vaasa, Finland
机构:
Univ Econ Ho Chi Minh City, Inst Business Res, 59C Nguyen Dinh Chieu St, Ho Chi Minh City, Vietnam
Univ Econ Ho Chi Minh City, CFVG Ho Chi Minh City, 59C Nguyen Dinh Chieu St, Ho Chi Minh City, VietnamUniv Econ Ho Chi Minh City, Inst Business Res, 59C Nguyen Dinh Chieu St, Ho Chi Minh City, Vietnam
Xuan Vinh Vo
Thi Tuan Anh Tran
论文数: 0引用数: 0
h-index: 0
机构:
Univ Econ Ho Chi Minh City, 59C Nguyen Dinh Chieu St,Dist 3, Ho Chi Minh City, VietnamUniv Econ Ho Chi Minh City, Inst Business Res, 59C Nguyen Dinh Chieu St, Ho Chi Minh City, Vietnam