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Progressive Credit Risk Management (CRM) Improving The Cost and Availability Of Corporate Credit

 

 

 

 

Progressive Credit Risk Management (CRM) transparently presents “own credit risk” to improve Asset-Backed transaction terms. When the CRM output is combined with insurance and funding methodologies, the financial benefits are striking. This is because banks rarely offer funding terms based on a due diligence process as thorough as the company themselves can execute daily.

Policymakers are keen for banks to lend. However, the banking model is broken. Many of the methodologies developed to intermediate credit are no longer cost effective or trusted by investors. Banks have responded by tightening credit issuance and de-leveraging. Alongside tougher Basel and domestic regulation, fee-earning has been hit. Banks are using general de-leveraging to cleanse their exposure to individuals, companies, other banks/ Financial Institutions and sovereigns who they believe will not only be unable or unwilling to repay debt but also unable to afford the cost of re-priced risk.

Bayesian Methods in Portfolio Credit Risk Management

Bayesian Methods in
Portfolio Credit Risk Management
A dissertation submitted to the
SWISS FEDERAL INSTITUTE OF TECHNOLOGY
ZURICH
for the degree of
Doctor of Sciences
presented by
JONATHAN ERIK PURVIS WENDIN
MSc. Engineering Physics KTH
born 17 April 1978
citizen of Sweden
accepted on the recommendation of
Prof. Dr. Alexander J. McNeil, examiner
Prof. Dr. Peter L. Bühlmann, co-examiner
Prof. Dr. Philipp J. Schönbucher, co-examiner

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