Efficient Use of Options for Tail Risk Hedging

66 Pages Posted: 10 Sep 2020 Last revised: 24 Mar 2021

See all articles by Ivan Guo

Ivan Guo

Monash University - School of Mathematical Sciences

Gregoire Loeper

BNP Paribas; Monash University - School of Mathematical Sciences; Monash University - Monash Centre for Quantitative Finance and Investment Strategies; Ecole Polytechnique, Palaiseau - CMAP CNRS-UMR 7641 and Ecole Polytechnique

Date Written: September 8, 2020

Abstract

We perform an empirical analysis of systematic trading strategies on options. Namely, we focus on strategies which sell out of the money (OTM) call options to harvest the premium, and buy downside protection through OTM puts. We compare the risk adjusted performance across different choices of strike, maturity and option notional. In this paper we mostly focus on the S&P 500 index over the period 2007–2018. There is also a brief look of the performances of the best strategies during the COVID-19 pandemic in early 2020.

Keywords: Systematic Investment Strategies, Derivatives, Call Overwriting

JEL Classification: G11, G13, G14, C00

Suggested Citation

Guo, Ivan and Loeper, Gregoire, Efficient Use of Options for Tail Risk Hedging (September 8, 2020). Available at SSRN: https://ssrn.com/abstract=3688843 or http://dx.doi.org/10.2139/ssrn.3688843

Ivan Guo

Monash University - School of Mathematical Sciences ( email )

Clayton Campus
Victoria, 3800
Australia

Gregoire Loeper (Contact Author)

BNP Paribas ( email )

Paris
France

Monash University - School of Mathematical Sciences ( email )

Clayton Campus
Victoria, 3800
Australia

Monash University - Monash Centre for Quantitative Finance and Investment Strategies ( email )

9 Rainforest Walk
Clayton Campus
Monash University, Victoria 3800
Australia

HOME PAGE: http://https://www.monash.edu/science/quantitative-finance

Ecole Polytechnique, Palaiseau - CMAP CNRS-UMR 7641 and Ecole Polytechnique ( email )

Route de Saclay
Palaiseau, 91128
France

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
486
Abstract Views
1,374
Rank
98,738
PlumX Metrics