We derive multivariate risk neutral asset distributions for major US financial institutions (FIs) using option implied marginal risk neutral asset distributions (RNDs) and probabilities of default (PoDs). The multivariate densities are estimated by combining the entropy approach, dynamic copulas and rank correlations. Our density estimates exhibit information about the conditional distributions of the individual FIs and we propose several financial distress measures based on default scenarios taking place in the financial sector. Empirical results around the period of the US sub-prime crisis show that the proposed risk measures in a timely manner identify i) the most troubled FIs in the system, ii) the systemically most important FIs, iii) the implicit bailout guarantees of some FIs and iv) a 'too interconnected to fail' problem in the US financial sector throughout the year 2008.
Financial Distress Conditional Probability of Default Copulae Option Prices Entropy Principle