Credit Risk and Credit Derivatives

2021 ◽  
pp. 473-549
Author(s):  
Donald R. Chambers ◽  
Qin Lu
Author(s):  
Jürgen Franke ◽  
Wolfgang Karl Härdle ◽  
Christian Matthias Hafner

2006 ◽  
Vol 55 (1) ◽  
Author(s):  
Theresia Theurl ◽  
Jan Pieter Krahnen ◽  
Thomas P. Gehrig

AbstractFrom Theresia Theurl’s point of view financial markets exhibit certain features that turn them inherently unstable. Therefore, economic policy measures were necessary and advisable, but they should not take the shape of isolated and selected interventions. Rather, these measures of financial market supervision and regulation had to be integrated into a comprehensive concept of micro- and macroeconomic policy in order to allow the creation of stabilizing trust.In his contribution, Jan Pieter Krahnen maintains, that the systemic risk of banks and financial institutions has changed and risen in recent years. According to his view, this is due to a more widespread use of credit derivatives. Although they may cause a more efficient distribution of credit risk in the banking sector, at the same time they could mean a higher vulnerability of the banking sector to system-wide contagion effects of credit risk. As such, financial market supervision as well as the Basel II rules on Capital Standards should take into account not only the credit risk exposure of individual financial institutions, but also correlation measures of their share prices.For Thomas Gehrig, empirical anomalies demonstrate the relevance of awareness and trust in financial markets. This note would argue in favor of social policies that enhance public awareness in financial markets as a basis for trust. And so naturally, these policies need to be complemented by a strong financial order that aims at minimizing behavioral risks. He says, trust requires a regulatory framework that reduces manipulation by private as well as public interests. A competitive order complemented by strong regulatory oversight may go a long way towards generating liquid financial markets and the creation of trust. Trust by individuals, however, would be most strongly encouraged when individuals are entrusted in managing their own financial market activities including their own pension arrangements.


2007 ◽  
Vol 10 (08) ◽  
pp. 1261-1285 ◽  
Author(s):  
MAREK RUTKOWSKI ◽  
KHAN YOUSIPH

The goal of this work is to examine the PDE approach to the valuation and hedging of defaultable claims in a Markovian model of credit risk. Our approach is based on the previous work by Bielecki et al. [3]. We extend the results in [3] by considering a general credit risk model, in which the number of traded assets, the dimension of the driving Brownian motion, as well as the number of default times are arbitrary.


2008 ◽  
Vol 11 (06) ◽  
pp. 611-634 ◽  
Author(s):  
RÜDIGER FREY ◽  
JOCHEN BACKHAUS

We consider reduced-form models for portfolio credit risk with interacting default intensities. In this class of models default intensities are modeled as functions of time and of the default state of the entire portfolio, so that phenomena such as default contagion or counterparty risk can be modeled explicitly. In the present paper this class of models is analyzed by Markov process techniques. We study in detail the pricing and the hedging of portfolio-related credit derivatives such as basket default swaps and collaterized debt obligations (CDOs) and discuss the calibration to market data.


2013 ◽  
Vol 16 (02) ◽  
pp. 1350008 ◽  
Author(s):  
S. CRÉPEY ◽  
M. JEANBLANC ◽  
D. WU

In order to dynamize the static Gaussian copula model of portfolio credit risk, we introduce a model filtration made of a reference Brownian filtration progressively enlarged by the default times. This yields a multidimensional density model of default times, where, as opposed to the classical situation of the Cox model, the reference filtration is not immersed into the enlarged filtration. In mathematical terms this lack of immersion means that martingales in the reference filtration are not martingales in the enlarged filtration. From the point of view of financial interpretation this means default contagion, a good feature in the perspective of modeling counterparty wrong-way risk on credit derivatives. Computational tractability is ensured by invariance of multivariate Gaussian distributions through conditioning by some components, the ones corresponding to past defaults. Moreover the model is Markov in an augmented state-space including past default times. After a discussion of different notions of deltas, the model is applied to the valuation of counterparty risk on credit derivatives.


2012 ◽  
Vol 2012 ◽  
pp. 1-42 ◽  
Author(s):  
Tze Leung Lai

We begin with a review of (a) the pricing theory of multiname credit derivatives to hedge the credit risk of a portfolio of corporate bonds and (b) current approaches to modeling correlated default intensities. We then consider pricing of insurance contracts using credibility theory in actuarial science. After a brief discussion of the similarities and differences of both pricing theories, we propose a new unified approach, which uses recent advances in dynamic empirical Bayes modeling, to evolutionary credibility in insurance rate-making and default modeling of credit portfolios.


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