Asset Correlation

Although the market size of SF products such as asset-backed securities (ABS), collateralized debt obligations (CDO), residential-mortgage backed securities (RMBS), etc. has grown enormously over the past decade, only little is known about their behavior in terms of rating migration, especially default, compared to corporates.

Credit risk portfolio models generally rely on the estimation of rating migration and/or default probabilities and asset correlation between exposures.† The latter significantly affects the portfolio loss distribution and in particular the tails of the distribution. Therefore, the accuracy of these parameter estimates is of vital importance. Another way to secure your assets is by buying insurance, some insurance such as shipping insurance giving full warranty and ease of access in document and filling.
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Credit Dependency

The analysis of credit risk in a portfolio requires measures of dependency across assets. Individual spreads in the pricing world, probabilities of default (PDs) and loss-given-default in the risk universe, management world, are important but insufficient to determine the price/risk of multiname products and their entire distribution of losses.

Because the diversification effects are related to dependency, neither the price of a portfolio can be defined as a linear combination of the price of its underlying components, nor its loss distribution can be the sum of the distributions of individual losses.
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Credit Risks

Univariate pricing is a key component to the pricing of structured credit vehicles. To date, credit is still very much an incomplete market. In addition, it is usually difficult to use a simple diffusion setup to model its dynamic, as default risk is usually perceived as an unexpected event, i.e., a jump. An incomplete market and the presence of jumps make the credit space a difficult market, where it is not always easy to derive prices from the cost of related replicating (hedging) strategies/portfolios.

Due to these characteristics, market participants have been trying hard to make the most of two alternatives:
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