Data di Pubblicazione:
2023
Citazione:
(2023). Implied volatility smoothing at COVID-19 times [journal article - articolo]. In COMPUTATIONAL MANAGEMENT SCIENCE. Retrieved from https://hdl.handle.net/10446/247069
Abstract:
This work aims at studying the impact of the SARS-CoV-2 pandemic on the global financial markets. In particular, such impact is analysed through the changes of the shape of the implied volatility smile of the options written on several equity indexes and on several stocks. The implied volatility function is estimated using the marketbased information of liquid options and applying a semi-parametric smoothing technique that exploits a kernel function and no-arbitrage conditions. Such approach is applied to an extensive set of data to study the evolution of the implied volatility functions through the months of the pandemic. We show, in several cases, a sudden and massive change in the shape of the implied volatility functions.
Tipologia CRIS:
1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays
Elenco autori:
Vitali, Sebastiano; Kopa, Miloš; Giana, Gabriele
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