Modellierung des Kreditrisikos im Einwertpapierfall

The current financial market crisis has impressively demonstrated the importance of an effective credit risk management for financial institutions. At the same time, the use and the valuation of credit derivatives has been widely criticised as a result of the crisis. Over the past decade, credit derivatives emerged as an important part of credit risk management as these offer a broad range of possibilities to reduce credit risk through active credit portfolio management. This has represented a quantum leap in the further development of credit risk management. Credit risk management, without using credit derivatives, no longer seems to be an appropriate alternative. However, correct valuation of these derivatives is still challenging. The crisis has demonstrated that the issue is less about using credit derivatives than about developing valid valuation techniques. A sound understanding of already existing credit pricing models is necessary for such a development. These models are the key focus of this working paper. --Credit risk pricing models,asset-based models,asset-value models,structural models,intensity-based models,reduced-form models,credit derivatives,credit default swap,pricing,valuation,default spread,risk management,credit portfolio management

ECONOMETRIC METHODOLOGY II : STRENGTHENING TIME SERIES ANALYSIS

This article reviews some of the recent methodology developed for the analysis of time series data stressing that the statistical properties of the individual series need to be analysed to avoid spurious regressions. A convergence of econometric methodology is entertained with specific focus on cointegration and error correction models which allows the testing of long run relationships between variables and allows for a more dynamic structure than some of the previous models that appear in the literature. An example of this is the commonly used partial adjustment model in supply analysis which is nested in the less restrictive error correction model. Tests can be performed on the validity of these restrictions. These models have a wide application in agricultural economic analysis.Research Methods/ Statistical Methods,

Kinetic energy in the collective quadrupole Hamiltonian from the experimental data

Dependence of the kinetic energy term of the collective nuclear Hamiltonian on collective momentum is considered. It is shown that the fourth order in collective momentum term of the collective quadrupole Hamiltonian generates a sizable effect on the excitation energies and the matrix elements of the quadrupole moment operator. It is demonstrated that the results of calculation are sensitive to the values of some matrix elements of the quadrupole moment. It stresses the importance for a concrete nucleus to have the experimental data for the reduced matrix elements of the quadrupole moment operator taken between all low lying states with the angular momenta not exceeding 4

Entanglement generation via scattering of two particles with hard-core repulsion

We analyse the entanglement generation in a one dimensional scattering process. The two colliding particles have a Gaussian wave function and interact by hard--core repulsion.In our analysis results on the entanglement of two mode Gaussian states are used. The produced entanglement depends in a non-obvious way on the parameters ratio of masses and initial widths. The asymptotic wavefunction of the two particles and its associated ellipse yield additional geometric insight into these conditions. The difference to the quantitative analysis of the amount of entanglement generated by beam splitters with squeezed light is discussed.Comment: 2 figure

Modellierung des Kreditrisikos im Portfoliofall

The current financial market crisis has impressively demonstrated the importance of an effective credit risk management for financial institutions. At the same time, the use and the valuation of credit derivatives has been widely criticised as a result of the crisis. Over the past decade, credit derivatives emerged as an important part of credit risk management as these offer a broad range of possibilities to reduce credit risk through active credit portfolio management. This has represented a quantum leap in the further development of credit risk management. Credit risk management without using credit derivatives no longer seems to be an appropriate alternative. However, correct valuation of these derivatives is still challenging. The crisis has demonstrated that the issue is less about using credit derivatives than about developing valid valuation techniques. A sound understanding of already existing credit pricing models is necessary for such a development. These models are the key focus of this working paper. --Credit risk pricing models,asset-based models,asset-value models,structural models,intensity-based models,reduced-form models,credit derivatives,credit default swap,pricing,valuation,default spread,risk management,credit portfolio management

Comparative analysis of alternative credit risk models : an application on German middle market loan portfolios

In recent years new methods and models have been developed to quantify credit risk on a portfolio basis. CreditMetrics (tm), CreditRisk+, CreditPortfolio (tm) are among the best known and many others are similar to them. At first glance they are quite different in their approaches and methodologies. A comparison of these models especially with regard to their applicability on typical middle market loan portfolios is in the focus of this study. The analysis shows that differences in the results of an application of the models on a certain loan portfolio is mainly due to different approaches in approximating default correlations. That is especially true for typically non-rated medium-sized counterparties. On the other hand distributional assumptions or different solution techniques in the models are more or less compatible.Seit einigen Jahren finden sich in Wissenschaft und Bankpraxis neue Methoden und Modelle, um Risiken von Kreditportfolios zu messen. Zu den bekanntesten Vertretern gehören CreditMetrics(tm) , CreditRisk+ und CreditPortfolioView(tm) , welche sich auf den ersten Blick stark im Ansatz und in der Methodik unterscheiden. Im Mittelpunkt der vorliegenden Studie steht ein Vergleich dieser Modelle und zwar insbesondere hinsichtlich ihrer Anwendbarkeit auf ein typisches Portfolio aus mittelständischen Bankkrediten. Die Analyse zeigt, dass Unterschiede in den Ergebnissen zweier Modelle für ein und dasselbe Portfolio vor allem auf unterschiedliche Verfahren in der Approximation von Ausfallkorrelationen zurückzuführen sind. Dies gilt insbesondere für Kredite an nicht-geratete mittelständische Unternehmen