Implied volatility smoothing at COVID-19 times
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10472040" target="_blank" >RIV/00216208:11320/23:10472040 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=43WSwqmFzg" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=43WSwqmFzg</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10287-023-00465-z" target="_blank" >10.1007/s10287-023-00465-z</a>
Alternative languages
Result language
angličtina
Original language name
Implied volatility smoothing at COVID-19 times
Original language description
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 market-based 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.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/GX19-28231X" target="_blank" >GX19-28231X: DyMoDiF - Dynamic Models for the Digital Finance</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computational Management Science
ISSN
1619-697X
e-ISSN
1619-6988
Volume of the periodical
20
Issue of the periodical within the volume
1
Country of publishing house
DE - GERMANY
Number of pages
42
Pages from-to
32
UT code for WoS article
001021147900001
EID of the result in the Scopus database
2-s2.0-85163746434