Within the structural approach for credit risk models we discuss the optimal exercise of the callable and convertible bonds. The Vasiček-model is applied to incorporate interest rate risk into the firm’s value process which follows a geometric Brownian motion. Finally, we derive pricing...

Within a default intensity approach we discuss the optimal exercise of the callable and convertible bonds. Pricing bounds for convertible bonds are derived in an uncertain volatility model, i.e. when the volatility of the stock price process lies between two extreme values.

We investigate the possibility of exploiting partial correlation graphs for identifying interpretable latent variables underlying a multivariate time series. It is shown how the collapsibility and separation properties of partial correlation graphs can be used to understand the relation between...

I present empirical results on the contribution of three key drivers of inflation in Denmark: an inflation trend anchored by inflation expectations; the Danish business cycle; and an energy price cycle. All three drivers contribute significantly to the development of inflation and explain most of...

Innovative Unternehmensgründungen werden in zunehmendem Maße von Venture Capital (VC) Gesellschaften finanziert, die mit dem Gebrauch spezieller Finanzierungsinstrumente die diversen Agencyprobleme dieser Situation zu bewältigen versuchen. Dieses Papier gibt einen Überblick über die...

In this article we use contingent-claim analysis to calculate the effective tax rate (ETR) under corporate debt finance. In particular, we deal with both pure debt and two of the most well-known hybrid securities, i.e., convertible, and reverse convertible bonds. We show that: 1) effective...

In this paper we want to discuss macroscopic and microscopic properties of financial markets. By analyzing quantitatively a database consisting of 13 minute per minute recorded financial time series, we identify some macroscopic statistical properties of the corresponding markets, with a special...

We propose the method of eigenvalue filtering as a new tool to extract time series subcomponents (such as business-cycle or irregular) defined by properties of the underlying eigenvalues. We logically extend the Beveridge-Nelson decomposition of the VAR time-series models focusing on the...

Wir stellen ein Maß für die Beziehung zwischen zwei Städten/Regionen basierend auf Suchanfragen vor, ausgehend von Merkmalen der Suchanfragen-Zeitreihen nach Zerlegung der Zeitreihe mittels STL (Komponentenzerlegung mittels lokaler linearer Kernregression). Grundlage für das Maß sind...