The first objective of this paper is to apply the model of Barth (1999) to the numerical generation of credit loss distributions of a portfolio consisting entirely of interest rate swaps. The different possibilities for modelling the response function, which gives the impact of a interest rate change onto the credit default probability, is the main subject of this investigation. The second objective is the discussion of several measures for the risk-based capital, needed to back the portfolio. The focus is on the suitablility of these measures to an analysis of worst case scenarios. While two measures for the risk-based capital are based on percentiles, the third measure is a coherent measure. These measures are applied to the analy...
Evaluating the quality of credit portfolio risk models is an important issue for both banks and regu...
One of the issues that the Basel Accord highlighted was that though techniques for estimating the pr...
In this paper we focus on modeling and predicting the loss distribution for credit risky assets such...
The first objective of this paper is to apply the model of Barth (1999) to the numerical generation...
The first objective of this paper is to apply the model of Barth (1999) to the numerical generation ...
Credit risk remains one of the major risks faced by most financial and credit institutions. It is de...
A single factor migration-style credit risk model is extended to measure the market risks of the non...
One of the biggest risks arising from financial operations is the risk of counterparty default, comm...
A model for the credit risk of a portfolio of market driven financial contracts (for example swaps)...
This thesis discusses three topics in the area of quantitative finance in relation to risk and credi...
A model for the credit risk of a portfolio of market driven financial contracts (for example swaps) ...
We derive an analytic approximation to the credit loss distribution of large portfolios by letting t...
Credit risk is an important issue in many finance areas, such as the determination of cost of capita...
Credit portfolios, as for instance Collateralized Debt Obligations (CDO’s) consist of credits that a...
In this paper, we focus on modeling and predicting the loss distribution for credit risky assets suc...
Evaluating the quality of credit portfolio risk models is an important issue for both banks and regu...
One of the issues that the Basel Accord highlighted was that though techniques for estimating the pr...
In this paper we focus on modeling and predicting the loss distribution for credit risky assets such...
The first objective of this paper is to apply the model of Barth (1999) to the numerical generation...
The first objective of this paper is to apply the model of Barth (1999) to the numerical generation ...
Credit risk remains one of the major risks faced by most financial and credit institutions. It is de...
A single factor migration-style credit risk model is extended to measure the market risks of the non...
One of the biggest risks arising from financial operations is the risk of counterparty default, comm...
A model for the credit risk of a portfolio of market driven financial contracts (for example swaps)...
This thesis discusses three topics in the area of quantitative finance in relation to risk and credi...
A model for the credit risk of a portfolio of market driven financial contracts (for example swaps) ...
We derive an analytic approximation to the credit loss distribution of large portfolios by letting t...
Credit risk is an important issue in many finance areas, such as the determination of cost of capita...
Credit portfolios, as for instance Collateralized Debt Obligations (CDO’s) consist of credits that a...
In this paper, we focus on modeling and predicting the loss distribution for credit risky assets suc...
Evaluating the quality of credit portfolio risk models is an important issue for both banks and regu...
One of the issues that the Basel Accord highlighted was that though techniques for estimating the pr...
In this paper we focus on modeling and predicting the loss distribution for credit risky assets such...