In this paper we propose a model for the conditional multivariate density of integer count variables defined on the set Zn. Applying the concept of copula functions, we allow for a general form of dependence between the marginal processes which is able to pick up the complex nonlinear dynamics...

This paper provides new empirical evidence for the effect of corporate social responsibility (CSR) on corporate financial performance. In contrast to former studies, we examine two different regions, namely the USA and Europe. Our econometric analysis shows that environmental and social...

This paper considers simultaneous modelling of seasonality, slowly changing un- conditional variance and conditional heteroskedasticity in high-frequency fiancial returns. A new approach, called a seasonal SEMIGARCH model, is proposed to perform this by introducing multiplicative seasonal and...

This paper investigates the use of price intensities to estimate volatilities based on high-frequency data. We interpret the conditional probability for the occurence of a price event within a certain time horizon as a risk measure which allows us to obtain an estimator of the conditional...

Pricing of cap insurance contracts is considered for political mortgage rates. A simple stochastic process for mortgage rates is proposed. The process is based on renewal processes for modelling the length of periods with downward and upward trend respectively. Prices are calculated by...

This paper presents structural estimates for a bargaining model which nests the right-to-manage, the efficient wage bargaining, the seniority and the standard neo- classical labor demand model as special cases. In contrast to most existing models, our approach accounts for heterogeneous skill...

When making decisions, agents tend to make use of decisions others have made in similar situations. Ignoring this behavior in empirical models can be interpreted as a problem of omitted variables and may seriously bias parameter estimates and harm inference. We suggest a possibility of...

This paper describes simple econometric methods for the analysis of credit risk and applies them to a data set obtained from credit files taken from six large German universal banks. The paper focuses on (i) binary and ordered probit/logit models which enable the credit analyst to quantify the...

SEMIFAR models introduced in Beran (1999) provide a semiparametric modelling framework that enables the data analyst to separate deterministic and stochastic trends as well as short- and long-memory components in an observed time series. A correct distinction between these components, and in...