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Ambivalence in the regulatory definition of capital adequacy for credit risk has recently stirred the financial services industry to collateral loan obligations (CLOs) as an important balance sheet management tool. CLOs represent a specialised form of Asset-Backed Securitisation (ABS), with investors acquiring a structured claim on the interest proceeds generated from a portfolio of bank loans in the form of tranches with different seniority. By way of modelling Merton-type risk-neutral asset returns of contingent claims on a multi-asset portfolio of corporate loans in a CLO transaction, we analyse the optimal design of loan securitisation from the perspective of credit risk in potential collateral default. We propose a pricing model that draws on a careful simulation of expected loan loss based on parametric bootstrapping through extreme value theory (EVT). The analysis illustrates the dichotomous effect of loss cascading, as the most junior tranche of CLO transactions exhibits a distinctly different default tolerance compared to the remaining tranches. By solving the puzzling question of properly pricing the risk premium for expected credit loss, we explain the rationale of first loss retention as credit risk cover on the basis of our simulation results for pricing purposes under the impact of asymmetric information. Klassifikation: C15, C22, D82, F34, G13, G18, G20
This paper shows that emerging market eurobond spreads after the Asian crisis can be almost completely explained by market expectations about macroeconomic fundamentals and international interest rates. Contrary to the claim that emerging market bond spreads are driven by market variables such as stock market volatility in the developed countries, it is found that this did not play a significant role after the Asian crisis. Using panel data techniques, it is shown that the determinants of bond spreads can be divided into long-term structural variables and medium-term variables which explain month-to-month changes in bond spreads. As relevant medium-term variables, ''consensus forecasts'' of real GDP growth and inflation, and international interest rates are identified. The long-term structural factors do not explicitly enter the model and show up as fixed or random country-specific effects. These intercepts are highly correlated with the countries' credit rating.