We analyze financial constraints for R&D, where we account for heterogeneityamong investments which has been neglected in previous literature. According toeconomic theory, investments should be distinguished by their degree ofuncertainty, e.g. routine R&D versus cutting-edge R&D. Financial...

A generalized correlated random walk is a process X_k of partial sums of random variables Y_j such that (X,Y) forms a Markov chain. For a sequence X^n of such processes where each Y^n_j takes only two values, we prove weak convergence to a diffusion process whose generator is explicitly...

We study a test statistic based on the integrated squared difference between a kernel estimator of the copula density and a kernel smoothed estimator of the parametric copula density. We show for fixed smoothing parameters that the test is consistent and that the asymptotic properties are driven...

We propose an affine term structure model which accommodates non-linearities in the drift and volatility function of the short-term interest rate. Such non-linearities are a consequence of discrete beta-distributed regime shifts constructed on multiple thresholds. We derive iterative closed form...

Inspired by findings of lowdimensional nonlinearities and the Theorem of Takens (1983) forecasting models of financial time series are often built upon nonparametric, i.e. universal nonlinear, univariate relationships. Empirical investigations, however, are seriously contaminated by the problem...

This paper proposes a Kolmogorov-type test for the shortfall order (also known in the literature as the right-spread or excess-wealth order) against parametric alternatives. In the case of the null hypothesis corresponding to the Negative Exponential distribution, this provides a test for the...

This paper examines how the evidence of stock market predictability affects optimal portfolio choice for buy-and-hold and dynamic investors with different planning horizons. As in Barberis (2000), particular attention is paid to estimation risk, i.e., uncertainty about the true values of the...

This paper uses statistical model selection criteria and Avramovs (2002) Bayesian model averaging approach to analyze the sample evidence on stock market predictability in the presence of model uncertainty. Based on Swiss stock market data, our posterior analysis finds that neither the...

This paper presents the econometric approach to causal modeling. It is motivated by policy problems. New causal parameters are defined and identified to address specific policy problems...

While the actions of economists and politicians can be influenced by facts, statistics or empirical predictions, narratives are becoming an increasingly important factor for the decision making in the field of economics and politics. Evaluating such narratives not at selective points in time but...