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Risk Evaluating for Subdiffusive Option Price Model with Gamma Subordinator
Örebro universitet, Handelshögskolan vid Örebro Universitet. Department of Mathematics, National University of Kyiv-Mohyla Academy, Kyiv, Ukraine.ORCID-id: 0000-0002-7652-8157
Örebro universitet, Handelshögskolan vid Örebro Universitet. Department of Mathematics, National University of Kyiv-Mohyla Academy, Kyiv, Ukraine.ORCID-id: 0000-0002-5576-3756
Department of Mathematics, National University of Kyiv-Mohyla Academy, Kyiv, Ukraine.
2024 (Engelska)Ingår i: Mathematical and Statistical Methods for Actuarial Sciences and Finance, MAF2024: Conference proceedings / [ed] Marco Corazza; Frédéric Gannon; Florence Legros; Claudio Pizzi; Vincent Touzé, Springer, 2024, s. 286-291Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The article focuses on Value-at-risk measuring for options in situations characterized by the lack of liquidity when the underlying stock price has motionless periods. A similar behavior can be observed in physical systems exhibiting sub-diffusion. In the considered sub-diffusive model, the bond movement and stock process are time-changed by the stochastic clock with gamma subordinator. In the model, the two techniques for option pricing were considered. The first very common approach for the time-changed model is to find option prices as the discounted expected payoff under the risk-neutral measure. The second technique for option pricing is based on a fractional version of what is called Dupire's equation. The Value-at-Risk evaluating procedure for the proposed model was discussed and we show that this procedure is based on the Fractional Fokker-Planck equation (FFPE).

Ort, förlag, år, upplaga, sidor
Springer, 2024. s. 286-291
Nyckelord [en]
Option pricing, subdiffusion, Value-at-risk, Gamma subordinator
Nationell ämneskategori
Sannolikhetsteori och statistik
Identifikatorer
URN: urn:nbn:se:oru:diva-116497DOI: 10.1007/978-3-031-64273-9_47ISI: 001299654100047ISBN: 9783031642753 (tryckt)ISBN: 9783031642739 (digital)ISBN: 9783031642722 (tryckt)OAI: oai:DiVA.org:oru-116497DiVA, id: diva2:1904442
Konferens
International Conference of the Mathematical and Statistical Methods for Actuarial Sciences and Finance (MAF 2024), Le Havre, France, April 4-6, 2024
Forskningsfinansiär
KK-stiftelsen, 20220099; 20220115
Anmärkning

Nataliya Shchestyuk acknowledges financial support from the project "Portfolio management for illiquid markets" (Dnr: 20220099) funded by the Knowledge Foundation. Svitlana Drin acknowledges financial support from the Knowledge Foundation Grant (Dnr: 20220115).

Tillgänglig från: 2024-10-09 Skapad: 2024-10-09 Senast uppdaterad: 2024-10-09Bibliografiskt granskad

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Shchestyuk, NataliyaDrin, Svitlana

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Totalt: 102 träffar
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