Previous studies focused on the fundamental channels of the interaction between the equity market and credit default swap (CDS) market. This paper finds another channel, investor sentiment, that contributes to the impact of the equity market on the CDS market under different time horizons and market conditions within the framework of wavelet quantile regression. It absorbs both the merits of wavelet transform and quantile regression and is advantageous in analyzing heterogeneous time horizons and full conditional distributions. Empirical results show that investor attitude turning optimistic has a negative influence on the deviation of CDS market spread from theoretical value, while the intensification of fear among equity market will enlarge this deviation. Besides, we discovered that the influence of equity market sentiment on the CDS market first increases and then decreases as the time horizon lengthens and that the greater the deviation of CDS spreads from intrinsic value is, the more irrational the CDS market participants are. These findings suggest that the influence of investor sentiment on the credit default swap market is self-reinforced. Our results are robust after controlling for macroeconomic conditions and under different wavelet decompositions. Reasonable suggestions are given to financial institutions, investors, and policy makers based on our findings.
机构:
Columbia Univ, Dept Ind Engn & Operat Res, New York, NY 10027 USAColumbia Univ, Dept Ind Engn & Operat Res, New York, NY 10027 USA
Capponi, Agostino
Cheng, Wan-Schwin Allen
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Columbia Univ, Dept Ind Engn & Operat Res, New York, NY 10027 USAColumbia Univ, Dept Ind Engn & Operat Res, New York, NY 10027 USA
Cheng, Wan-Schwin Allen
Giglio, Stefano
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Yale Sch Management, NBER, 165 Whitney Ave, New Haven, CT 06520 USA
CEPR, 165 Whitney Ave, New Haven, CT 06520 USAColumbia Univ, Dept Ind Engn & Operat Res, New York, NY 10027 USA
Giglio, Stefano
Haynes, Richard
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US Commod Futures Trading Commiss, Div Clearing & Risk, Washington, DC 20581 USAColumbia Univ, Dept Ind Engn & Operat Res, New York, NY 10027 USA