Anticipating Jumps: Decomposition of Straddle Price

55 Pages Posted: 18 Nov 2021 Last revised: 3 Jan 2023

See all articles by Bei Chen

Bei Chen

Shanghai International Studies University

Quan Gan

The University of Sydney - Discipline of Finance; Financial Research Network (FIRN)

Aurelio Vasquez

Instituto Tecnológico Autónomo de México (ITAM) - Department of Business Administration

Date Written: December 23, 2022

Abstract

We develop a novel method to decompose a straddle into two assets: a volatility risk asset and a jump risk asset. Using the price ratio of the jump risk asset to the straddle, we create a forward-looking measure (S-jump) that captures the stock price jump risk anticipated by the option market. We show that S-jump substantially increases before earnings announcements and strongly predicts the size and the probability of earnings-induced stock price jumps. We also find that S-jump amplifies the earnings response coefficient. Our jump risk asset captures the run-up and run-down return patterns observed for straddles around earnings announcements.

Keywords: Jumps, Uncertainty, Straddle, Earnings announcements

JEL Classification: G12, G13

Suggested Citation

Chen, Bei and Gan, Quan and Vasquez, Aurelio, Anticipating Jumps: Decomposition of Straddle Price (December 23, 2022). Journal of Banking and Finance, Forthcoming, Available at SSRN: https://ssrn.com/abstract=3947535 or http://dx.doi.org/10.2139/ssrn.3947535

Bei Chen

Shanghai International Studies University ( email )

1550 Weniang Road
Songjiang District
Shanghai, Shanghai
China

Quan Gan (Contact Author)

The University of Sydney - Discipline of Finance ( email )

Discipline of Finance
University of Sydney
Sydney, NSW 2006
Australia

HOME PAGE: http://sydney.edu.au/business/staff/quang

Financial Research Network (FIRN) ( email )

C/- University of Queensland Business School
St Lucia, 4071 Brisbane
Queensland
Australia

HOME PAGE: http://www.firn.org.au

Aurelio Vasquez

Instituto Tecnológico Autónomo de México (ITAM) - Department of Business Administration ( email )

Rio Hondo No. 1
Col. Tizapan-San Angel, 01000
Mexico

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