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A Tale of Two Tails: A Model-free Approach to Estimating Disaster Risk Premia and Testing Asset Pricing Models

2021/05/18 by Tjeerd de Vries, de Vries, Tjeerd
Economics, Econometrics and Finance · #FOS: Economics and business #Financial Markets and Investment Strategies #Financial Risk and Volatility Modeling #General Economics (econ.GN) #Market Dynamics and Volatility

paper · pdf · doi:10.48550/arxiv.2105.08208

openalex publication_date 2021/05/18 · openalex created_date 2022/09/23 · openalex updated_date 2026/07/28

Abstract

I introduce a model-free methodology to assess the impact of disaster risk on the market return. Using S&P500 returns and the risk-neutral quantile function derived from option prices, I employ quantile regression to estimate local differences between the conditional physical and risk-neutral distributions. The results indicate substantial disparities primarily in the left-tail, reflecting the influence of disaster risk on the equity premium. These differences vary over time and persist beyond crisis periods. On average, the bottom 5% of returns contribute to 17% of the equity premium, shedding light on the Peso problem. I also find that disaster risk increases the stochastic discount factor's volatility. Using a lower bound observed from option prices on the left-tail difference between the physical and risk-neutral quantile functions, I obtain similar results, reinforcing the robustness of my findings.

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