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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Pricing autocallables under local-stochastic volatility
Organization Unit
Authors
  • Erich Walter Farkas
  • Francesco Ferrari
  • Urban Ulrych
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title Frontiers of Mathematical Finance
Publisher AIMS Press
Geographical Reach international
ISSN 2769-6715
Volume 1
Number 4
Page Range 575 - 610
Date 2022
Abstract Text This paper investigates the pricing of single-asset autocallable barrier reverse convertibles in the Heston local-stochastic volatility (LSV) model. Despite their complexity, autocallable structured notes are the most traded equity-linked exotic derivatives. The autocallable payoff embeds an early-redemption feature generating strong path- and model-dependency. Consequently, the commonly-used local volatility (LV) model is overly simplified for pricing and risk management. Given its ability to match the implied volatility smile and reproduce its realistic dynamics, the LSV model is, in contrast, better suited for exotic derivatives such as autocallables. We use quasi-Monte Carlo methods to study the pricing given the Heston LSV model and compare it with the LV model. In particular, we establish the sensitivity of the valuation differences of autocallables between the two models with respect to payoff features, model parameters, underlying characteristics, and volatility regimes. We find that the improved spot-volatility dynamics captured by the Heston LSV model typically result in higher prices, demonstrating the dependence of autocallables on the forward-skew and vol-of-vol risk. Moreover, we show that the parameters of the stochastic component of LSV models enable controlling for the autocallables price while leaving the fit to European options unaffected.
Free access at DOI
Official URL https://www.aimsciences.org/article/doi/10.3934/fmf.2022008
Digital Object Identifier 10.3934/fmf.2022008
Other Identification Number merlin-id:23101
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