The Origin of Fat Tails

17 Pages Posted: 10 Oct 2013 Last revised: 6 Jan 2016

Martin Gremm

Pivot Point Advisors

Date Written: October 8, 2013

Abstract

We propose a random walk model of asset returns where the parameters depend on market stress. Stress is measured by, e.g., the value of an implied volatility index. We show that model parameters including standard deviations and correlations can be estimated robustly and that all distributions are approximately normal. Fat tails in observed distributions occur because time series sample different stress levels and therefore different normal distributions. This provides a quantitative description of the observed distribution including the fat tails. We discuss simple applications in risk management and portfolio construction.

Keywords: fat tails, volatility clustering, market model, risk management, stochastic volatility

Suggested Citation

Gremm, Martin, The Origin of Fat Tails (October 8, 2013). Available at SSRN: https://ssrn.com/abstract=2337830 or http://dx.doi.org/10.2139/ssrn.2337830

Martin Gremm (Contact Author)

Pivot Point Advisors ( email )

Bellaire, TX 77401
United States

Register to save articles to
your library

Register

Paper statistics

Downloads
245
rank
113,952
Abstract Views
1,381
PlumX