We present a new framework for the joint estimation of the default-free government term structure and corporate credit spread curves. By using a data set of liquid, German mark denominated bonds, we show that this yields more realistic spreads than traditionally obtained spread curves that...

The purpose of this paper is to show how institutional and evolutionary economics provide better insights as to why some firms survive and others do not than does neoclassical economics. At the heart of the evolutionary theory is the view that new firms are a manifestation of diversity and that...

We value rating-triggered step-up bonds with three methods: (i) the Jarrow, Lando and

In this paper we compare market prices of credit default swaps with model prices. We show

We consider eight different measures (issued amount, coupon, listed, age, missing

Recent studies show that the likelihood of survival differs significantly across firms. Both firm and industry characteristics are hypothesized to account for this heterogenity. Using a longitudinal database of manufacturing firms we investigate whether firm or industry characteristics dominate....

We propose in this paper a likelihood-based framework for cointegration analysis in panels of a fixed number of vector error correction models. Maximum likelihood estimators of the cointegrating vectors are constructed using iterated Generalized Method of Moments estimators. Using these...

We construct a novel statistic to test hypothezes on subsets of the structural parameters in an Instrumental Variables (IV) regression model. We derive the chi squared limiting distribution of the statistic and show that it has a degrees of freedom parameter that is equal to the number of...

We show that three convenient statistical properties that are known to hold for the linear model with normal distributed errors that: (i.) when the variance is known, the likelihood based test statistics, Wald, Likelihood Ratio and Score or Lagrange Multiplier, coincide, (ii.) when the variance...

Root cancellation in Auto Regressive Moving Average (ARMA) models leads to local non-identification of parameters. When we use diffuse or normal priors on the parameters of the ARMA model, posteriors in Bayesian analyzes show an a posteriori favor for this local non-identification. We show that...