Semi-static variance-optimal hedging with self-exciting jumps

Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung

Beitragende

  • Giorgia Callegaro - , Università degli studi di Padova (Autor:in)
  • Paolo Di Tella - , Institut für Mathematische Stochastik (Autor:in)
  • Beatrice Ongarato - , Università degli studi di Padova (Autor:in)
  • Carlo Sgarra - , Università degli Studi di Bari Aldo Moro (Autor:in)

Abstract

The aim of this paper is to investigate a quadratic, that is, variance-optimal, semistatic hedging problem in an incomplete market model where the underlying log-asset price is driven by a diffusion process with stochastic volatility and a self-exciting jump process of the Hawkes type. More precisely, we aim at hedging a claim at time T > 0 by using a portfolio of available contingent claims so as to minimize the variance of the residual hedging error at time T. In order to improve the replication of the claim, we look for a hybrid hedging strategy of the semistatic type in which some assets are continuously reba-lanced (the dynamic hedging component), and for some other assets, a buy-and-hold strategy (the static component) is performed. We discuss in detail a specific example in which the approach proposed is applied, that is, a variance swap hedged by means of European options, and we provide a numerical illustration of the results obtained.

Details

OriginalspracheEnglisch
Seiten (von - bis)2495-2524
Seitenumfang30
FachzeitschriftMathematics of operations research
Jahrgang51
Ausgabenummer3
Frühes Online-Datum15 Sept. 2025
PublikationsstatusVeröffentlicht - Aug. 2026
Peer-Review-StatusJa

Externe IDs

Scopus 105048239429
Mendeley 7a3ea18c-6710-3ced-afd0-514605bb729d

Schlagworte

ASJC Scopus Sachgebiete

  • Allgemeine Mathematik - optimal-variance hedging, semistatic hedging, jump-diffusion processes, Galtchouk–Kunita–Watanabe decomposition, Hawkes processes, stochastic volatility

Schlagwörter

  • optimal-variance hedging, semistatic hedging, jump-diffusion processes, Galtchouk–Kunita–Watanabe decomposition, Hawkes processes, stochastic volatility