Wealth-to-Income Ratio and Stock Market Movements: Evidence from a Nonparametric Causality Test

被引:3
|
作者
Balcilar, Mehmet [1 ,2 ,3 ]
Gupta, Rangan [3 ]
Sousa, Ricardo M. [4 ,5 ]
Wohar, Mark E. [6 ,7 ]
机构
[1] Eastern Mediterranean Univ, Famagusta, North Cyprus, Turkey
[2] Montpellier Business Sch, Montpellier, France
[3] Univ Pretoria, Pretoria, South Africa
[4] Univ Minho, Braga, Portugal
[5] LSE Alumni Assoc, London, England
[6] Univ Nebraska, Omaha, NE 68182 USA
[7] Loughborough Univ, Loughborough, Leics, England
关键词
COINTEGRATION; CONSUMPTION;
D O I
10.1111/irfi.12136
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We use a nonparametric causality-in-quantile test to analyze the predictive ability of the wealth-to-income ratio (sty) for excess stock returns and their volatility. Our results reveal that the wy is nonlinearly related with excess stock returns, and hence, results from linear Granger causality tests cannot be deemed robust. When we apply the nonparametric causality-in-quantile test, we find that the wy can predict excess stock returns over the majority of the conditional distribution, with the exception being the extreme ends, that is, when the market is in deep bear or bull phases. However, the wy has no predictability for the volatility of excess stock returns.
引用
收藏
页码:495 / 506
页数:12
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