Stock market volatility and business cycle: Evidence from linear and nonlinear causality tests

被引:87
作者
Choudhry, Taufiq [1 ]
Papadimitriou, Fotios I. [1 ]
Shabi, Sarosh [2 ]
机构
[1] Univ Southampton, Southampton Business Sch, Southampton SO17 1BJ, Hants, England
[2] Swansea Univ, Sch Management, Swansea, W Glam, Wales
关键词
Stock market volatility; Business cycle; Bivariate causality; Multivariate causality; Linear and nonlinear causality tests; REAL ACTIVITY; TIME-SERIES; GRANGER CAUSALITY; EXCHANGE-RATES; RETURNS; UK; COINTEGRATION; EQUILIBRIUM; BEHAVIOR; MODEL;
D O I
10.1016/j.jbankfin.2016.02.005
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper investigates the relationship between stock market volatility and the business cycle in four major economies, namely the US, Canada, Japan and the UK. We employ both linear and nonlinear bivariate causality tests and we further conduct a multivariate analysis to explore possible spillover effects across countries. Our results suggest that there is a bidirectional causal relationship between stock market volatility and the business cycle within each country and additionally reveal that the recent financial crisis plays an important role in this context. Finally, we identify a significant impact of the US on the remaining markets. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:89 / 101
页数:13
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