This paper presents a new numerical method for pricing American call options when the volatility of the price of the underlying stock is stochastic. By exploiting a log-linear relationship of the optimal exercise boundary with respect to volatility changes, we derive an integral representation...

In the existing literature on barrier options, much effort has been exerted to ensureconvergence through placing the barrier in close proximity to, or directly onto, thenodes of the tree lattice. In this paper we show that this may not be necessary toachieve accurate option price...

The solutions of a macroeconometricmodel with expectations of future-dated variables has to be approximated by numerical simulations. A brief review of deterministic and stochastic dynamic simulations of a backward-looking model is followed by a conceptual presentation of methods for dynamic...

Large scale Bayesian model averaging and variable selection exercises present, despite the great increase in desktop computing power, considerable computational challenges. Due to the large scale it is impossible to evaluate all possible models and estimates of posterior probabilities are...

In this paper we discuss how a regression model, with a non-continuous response variable, that allows for dependency between observations should be estimated when observations are clustered and there are repeated measurements on the subjects. The cluster sizes are assumed to be large. We …nd...

Promoting social information reporting and disclosure can promote sustainable banking. The paper aims to measure banking social sustainability by constructing a new interval-based composite indicator using the Thomson Reuters database. In this work, we propose an approach to constructing...

In this paper we introduce a stochastic network formation model where agents choose both actions and links. Neighbors in the network benefit from each other's action levels through local complementarities and there exists a global interaction effect reflecting a strategic substitutability in...

We consider the issue of Block Bootstrap methods in processes that exhibit strong dependence. The main difficulty is to transform the series in such way that implementation of these techniques can provide an accurate approximation to the true distribution of the test statistic under...

This paper extends previous tests of the conditional CAPM using different asymmetric and non-diagonal multivariate GARCH-M specifications for eight large national markets and the world market simultaneously. To solve the well-known problems associated with the likelihood functions of...

Con el propósito de brindar una herramienta que permita una major gestión de riesgos y una adecuada regulación, en este trabajo se aplica una metodología para la medición de riesgo de tasa de interés. Luego de la estimación y simulación de la estructura temporal de tasas de interés se...