Correlations between stock returns and bond returns: income and substitution effects

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초록

We attempt to better understand the varying correlations between stock and bond returns across countries and over sample periods using international data. The observation is that there are two forces that affect the correlation between stock and bond returns. The force that drives a positive correlation is identified as the income effect. The force that drives a negative correlation is identified as the substitution effect. In combination, the two effects help determine the actual correlation between stock and bond returns. We contribute to the literature by proposing an empirical method, the structural vector autoregression (VAR) identification method, to identify the two-income and substitution-effects and to measure the relative importance of the two effects that determine the actual net relation between the two asset returns. We further provide some evidence that the income and substitution effects are related to, among other things, the size of the financial market, the growth and volatility (risk) of the economy, and the business cycle over time. In addition, the framework of the income and substitution effects helps us better understand the automatic stabilizing effects of the dynamic optimal asset allocation during business cycles.

키워드

Structural VAR identificationAsset returns correlationAsset allocationSTRATEGIC ASSET ALLOCATIONCOINTEGRATION VECTORSSLUTSKY EQUATIONSMODELPRICESDEMANDRISKDISTURBANCESUNCERTAINTYINFLATION
제목
Correlations between stock returns and bond returns: income and substitution effects
저자
Hong, GwangheonKim, YoungsooLee, Bong-Soo
DOI
10.1080/14697688.2011.631028
발행일
2014-11-02
유형
Article
저널명
Quantitative Finance
14
11
페이지
1999 ~ 2018