RT Journal Article
SR Electronic
T1 A Bayesian View on Autocallable Pricing and Risk Management
JF The Journal of Derivatives
FD Institutional Investor Journals
SP jod.2022.1.161
DO 10.3905/jod.2022.1.161
A1 Tommaso Paletta
A1 Radu Tunaru
YR 2022
UL https://pm-research.com/content/early/2022/05/03/jod.2022.1.161.abstract
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.