Abstract
This study utilizes swaptions data to quantify tail risk through the lens of the fixed income derivatives market. We adopt a non-parametric and model-independent approach to characterize tail risks in a three-dimensional space–time object. We further show that the implied tail risk surface has the predictive contents for stock returns, default risk, and economic uncertainty. There is a significant wedge between the proposed tail risk surface and the asset price dynamics in the financial market.
| Original language | English |
|---|---|
| Article number | 104497 |
| Journal | Finance Research Letters |
| Volume | 58 |
| DOIs | |
| State | Published - Dec 2023 |
Keywords
- Feature extraction techniques
- Predictability
- Surface
- Swaptions
- Tail risk