Bachelor-Arbeit Univ. St. Gallen, 2006.

Techn. Universiẗat, Diss., 2005--Cottbus.

Für die Bewertung zahlreicher Barriereoptionen stehen keine analytischen Preisformeln zur Verfügung. Ein mögliches Näherungsverfahren, welches für die Bepreisung eingesetzt werden kann, ist das Binomialmodell. Dieser Artikel analysiert die bei der binomialen Bewertung von Barriereoptionen auftretende Sägezahnkonvergenz. Es werden vier Verfahren mit verbesserten Konvergenzverhalten beschrieben. Dabei stellt sich heraus, daß durch alle betrachteten Verfahren eine deutliche Konvergenzbeschleunigung erreicht werden kann. Numerische Beispiele illustrieren die vorgestellten Verfahren.

In this paper, we study mathematical properties of a generalized bivariate Ornstein-Uhlenbeck model for financial assets. Originally introduced by Lo and Wang, this model possesses a stochastic drift term which influences the statistical properties of the asset in the real (observable) world. Furthermore, we generali- ze the model with respect to a time-dependent (but still non-random) volatility function. Although it is well-known, that drift terms - under weak regularity conditions - do not affect the behaviour of the asset in the risk-neutral world and consequently the Black-Scholes option pricing formula holds true, it makes sense to point out that these regularity conditions are fulfilled in the present model and that option pricing can be treated in analogy to the Black-Scholes case.

Originally presented as the author's thesis (Ph.D. - Goethe-University, Frankfurt am Main) titled "Pricing in (in)complete markets : structural analysis and applications," May 2003. / Includes bibliographical references (p. [105]-107) and index.

Universiẗat, Diss--Köln, 2007.

Ulm, Univ., Diss., 2007.

Univ., Phil. Diss.--Augsburg, 2004.

Originally presented as the author's doctoral thesis to the European Business School, Oestrich-Winkel. / Includes bibliographical reference (p. [345]-353) and index.

In this paper, we study mathematical properties of a generalized bivariate Ornstein-Uhlenbeck model for financial assets. Originally introduced by Lo and Wang, this model possesses a stochastic drift term which influences the statistical properties of the asset in the real (observable) world. Furthermore, we generali- ze the model with respect to a time-dependent (but still non-random) volatility function. Although it is well-known, that drift terms - under weak regularity conditions - do not affect the behaviour of the asset in the risk-neutral world and consequently the Black-Scholes option pricing formula holds true, it makes sense to point out that these regularity conditions are fulfilled in the present model and that option pricing can be treated in analogy to the Black-Scholes case.