Sustainable debt has become a key issue in rating of private as well as sovereign debtors. The problem of how to estimate sustainable debt has also been at the center of debate over theAsian 1997-1998 financial crisis. If the external value of the currency depends on the external debt of a...

We propose a simple class of semiparametric multivariate GARCH models, allowing for asymmetric volatilities and time-varying conditional correlations. Estimates for time-varying conditional correlations are constructed by means of a convex combination of estimates for averaged correlations...

We propose a multivariate nonparametric technique for generating reliable scenarios and confidence intervals for the term structure of interest rates from historical data. The approach is based on a functional gradient descent (FGD) estimation of the conditional mean vector and the conditional...

We present a multivariate, non-parametric technique for constructing reliable daily VaR predictions for individual assets belonging to a common equity market segment, which takes also into account the possible dependence structure between the assets and is still computationally feasible in large...

We present a multivariate, non-parametric technique for constructing reliable daily VaR predictions for individual assets belonging to a common equity market segment, which takes also into account the possible dependence structure between the assets and is still computationally feasible in large...

Empirical investigations of analysts forecast surveys concerning earnings realizations find significant time varying biases usually attributed to the analysts liability to cognitive limitations. For example, a positive autocorrelation of analysts forecast errors is commonly explained by...

The k Nearest Neighb or (kNN) density estimator first for-malized by Loftsgaarden and Quesenb erry (1965) is central to a broad range of the literature on density estimation. It is knownto b e strongly uniformly consistent if k increases appropriatelywith the sample size. The contribution of...

We propose a new multivariate GARCH model with Dynamic Conditional Correlations that extends previous models by admitting multivariate thresholds in conditional volatilitiesand correlations. The model estimation is feasible in large dimensions and the positive definiteness of the conditional...

We propose a multivariate nonparametric technique for generating reliable short-term historical yield curve scenarios and confidence intervals. The approach is based on a Functional Gradient Descent (FGD) estimation of the conditional mean vector and covariance matrix of a multivariate interest...

The term structure of American interest rates is filtered to reduce the influence of cross correlations and auto correlations on its factors. A three-factor model is fitted to the filtered data. Contrary to most studies of the term structure on monthly data, performing statistical tests we...