Debt Subordination and The Pricing of Credit Default Swaps

Physics – Condensed Matter

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages, 5 figures, LaTeX (v2: minor corrections)

Scientific paper

First passage models, where corporate assets undergo a random walk and default occurs if the assets fall below a threshold, provide an attractive framework for modeling the default process. Recently such models have been generalized to allow a fluctuating default threshold or equivalently a fluctuating total recovery fraction $R$. For a given company a particular type of debt has a recovery fraction $R_i$ that is greater or less than $R$ depending on its level of subordination. In general the $R_i$ are functions of $R$ and since, in models with a fluctuating default threshold, the probability of default depends on $R$ there are correlations between the recovery fractions $R_i$ and the probability of default. We find, using a simple scenario where debt of type $i$ is subordinate to debt of type $i-1$, the functional dependence $R_i(R)$ and explore how correlations between the default probability and the recovery fractions $R_i(R)$ influence the par spreads for credit default swaps. This scenario captures the effect of debt cushion on recovery fractions.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Debt Subordination and The Pricing of Credit Default Swaps does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Debt Subordination and The Pricing of Credit Default Swaps, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Debt Subordination and The Pricing of Credit Default Swaps will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-441354

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.