Portfolio Optimisation With Options

25 Pages Posted: 1 Feb 2022

See all articles by Jonathan Chan

Jonathan Chan

Kaiju Capital Management

Thomas Huckle

Kaiju Capital Management

Antoine (Jack) Jacquier

Imperial College London; The Alan Turing Institute

Aitor Muguruza

Imperial College London; Kaiju Capital Management

Date Written: November 24, 2021

Abstract

We develop a new analysis for portfolio optimisation with options, tackling the three fundamental issues with this problem: asymmetric options' distributions, high dimensionality and dependence structure. To do so, we propose a new dependency matrix, built upon conditional probabilities between options' payoffs, and show how it can be computed in closed form given a copula structure of the underlying asset prices. The empirical evidence we provide highlights that this approach is efficient, fast and easily scalable to large portfolios of (mixed) options.

Keywords: Options portfolio, modern portfolio theory, copulas, tail dependence

Suggested Citation

Chan, Jonathan and Huckle, Thomas and Jacquier, Antoine and Muguruza, Aitor, Portfolio Optimisation With Options (November 24, 2021). Available at SSRN: https://ssrn.com/abstract=3971033 or http://dx.doi.org/10.2139/ssrn.3971033

Jonathan Chan

Kaiju Capital Management ( email )

Thomas Huckle

Kaiju Capital Management ( email )

Antoine Jacquier (Contact Author)

Imperial College London ( email )

South Kensington Campus
London SW7 2AZ, SW7 2AZ
United Kingdom

HOME PAGE: http://wwwf.imperial.ac.uk/~ajacquie/

The Alan Turing Institute ( email )

British Library, 96 Euston Road
96 Euston Road
London, NW12DB
United Kingdom

Aitor Muguruza

Imperial College London ( email )

South Kensington Campus
Exhibition Road
London, Greater London SW7 2AZ
United Kingdom

Kaiju Capital Management ( email )

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

Paper statistics

Downloads
672
Abstract Views
1,893
Rank
84,986
PlumX Metrics