Financial models are largely used in option pricing. These physical models capture several salient features of asset price dynamics. The pricing performance can be significantly enhanced when they are combined with nonparametric learning approaches, that empirically learn and correct pricing...

We show that a simple equilibrium model with uncertain growth is able to simultaneously generate patterns in implied volatility and risk aversion that are similar to the ones observed in the data. In addition, the model produces an implied pricing kernel that is increasing for particular levels...

In this article, we describe the various sorts of American Parisian options and propose valuation formulae. Although there is no closed-form valuation for these products in the non perpetual case, we have been able to reformulate their price as a function of the exercise frontier. In the...

Institutional but also private investors have often limited flexibility in timing their investment decision. Therefore, they look for investments that would ideally be independent of the timing decision. We introduce a new class of derivative products whose payoff is linked to the trend of the...

Ziel dieses Beitrages ist es, die Zusammenhänge zwischen den Binomialmodellen der Operationsbewertung (Replikation bzw. Methode der risikoneutralen Wahrscheinlichkeiten) und dem Black/Scholes Modell aufzuzeigen und zu analysieren...

This paper introduces an expected value estimator with expert knowledge to the robust estimation of sovereign rating transitions which are characterised by few observations. Ourestimates of default premia within Mexican, Colombian and Brazilian Eurobond yield spreads provide a better fit than...

Bayesian Model Averaging (BMA) has recently been discussed in the financial literature as an effective way to account for model uncertainty. In this paper we compare BMA to a new model uncertainty framework introduced by Yang (2004), called Aggregate Forecasting Through Exponential Reweighting,...

We revisit the apparent historical success of technical trading rules on daily prices of the Dow Jones index. First, we use the False Discovery Rate as a new approach to data snooping. The advantage of the FDR over existing methods is that it is more powerful and not restricted only to the best...

This paper examines latent risk factors in models for migration risk. We employ thestandard statistical framework for ordered categorical variables and induce dependencebetween migrations by means of latent risk factors. By assuming a Markov process forthe dynamics of the latent factors, the...

While the relationship between volatility and risk is central to much of thefinancial literature it has not been incorporated systematically into assessment ofsovereign debt sustainability. This paper attempts to fill this gap by studying how the probability distribution of sovereign debt to GDP...