PT  - JOURNAL ARTICLE
AU  - Tommaso Paletta
AU  - Radu Tunaru
TI  - A Bayesian View on Autocallable Pricing and Risk Management
AID  - 10.3905/jod.2022.1.161
DP  - 2022 May 25
TA  - The Journal of Derivatives
PG  - 40--59
VI  - 29
IP  - 5
4099  - https://pm-research.com/content/29/5/40.short
4100  - https://pm-research.com/content/29/5/40.full
AB  - In this article, some insights are presented on the risks associated with trading autocallable financial products. This class of structured products survived the Lehman Brothers collapse in 2008 and the sovereign crisis of 2011 but was deeply affected by the emergence of the COVID-19 pandemic in 2020. This article highlights the important role played by dividend risk, which was neglected until 2020 in the derivatives literature on equity structured products. The article also emphasizes that both equity volatility uncertainty and dividend uncertainty play a crucial role in pricing and risk-managing autocallables. The article uses the Black-Scholes model in a Bayesian setup, demonstrating how volatility uncertainty affects the estimation of dividend yield and vice versa.