Adapted downhill simplex method for pricing convertible bonds

The paper is devoted to modeling optimal exercise strategies of the behavior of investors and issuers working with convertible bonds. This implies solution of the problems of stock price modeling, payoff computation and minimax optimization. Stock prices (underlying asset) were modeled under the as...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Datum:2007
Hauptverfasser: Mishchenko, K., Mishchenko, V., Malyarenko, A.
Format: Artikel
Sprache:English
Veröffentlicht: Інститут математики НАН України 2007
Online Zugang:http://dspace.nbuv.gov.ua/handle/123456789/4517
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Zitieren:Adapted downhill simplex method for pricing convertible bonds / K. Mishchenko, V. Mishchenko, A. Malyarenko // Theory of Stochastic Processes. — 2007. — Т. 13 (29), № 4. — С. 130–147. — Бібліогр.: 5 назв.— англ.

Institution

Digital Library of Periodicals of National Academy of Sciences of Ukraine
Beschreibung
Zusammenfassung:The paper is devoted to modeling optimal exercise strategies of the behavior of investors and issuers working with convertible bonds. This implies solution of the problems of stock price modeling, payoff computation and minimax optimization. Stock prices (underlying asset) were modeled under the assumption of the geometric Brownian motion of their values. The Monte Carlo method was used for calculating the real payoff which is the objective function. The minimax optimization problem was solved using the derivative-free Downhill Simplex method. The performed numerical experiments allowed to formulate recommendations for the choice of appropriate size of the initial simplex in the Downhill Simplex Method, the number of generated trajectories of underlying asset, the size of the problem and initial trajectories of the behavior of investors and issuers.