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Calibration of Heston's stochastic volatility model to an empirical density using a genetic algorithm

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  • Dolgov, Urij

Abstract

In diesem Artikel schlagen wir die Verwendung eines genetischen Algorithmus (GA) zur Kalibrierung eines Stochastischen Prozesses an eine empirische Dichte von Aktienrenditen vor. Anhand des Heston Models zeigen wir wie eine solche Kalibrierung durchgeführt werden kann. Neben des Pseudocodes für einen einfachen aber leistungsfähigen GA präsentieren wir zudem auch Kalibrierungs-ergebnisse für den DAX und den S&P 500.

Suggested Citation

  • Dolgov, Urij, 2015. "Calibration of Heston's stochastic volatility model to an empirical density using a genetic algorithm," Forschung am ivwKöln 3/2015, Technische Hochschule Köln – University of Applied Sciences, Institute for Insurance Studies.
    • Handle: RePEc:zbw:thkivw:32015
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    Dichte (Stochastik);

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