The tail risk surface

Jungkyu Ahn, Yongkil Ahn

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Article number104497
JournalFinance Research Letters
Volume58
DOIs
StatePublished - Dec 2023

Keywords

  • Feature extraction techniques
  • Predictability
  • Surface
  • Swaptions
  • Tail risk

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