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We apply the CreditMetrics methodology to estimate the credit risk of a portfolio of long-dated corporate and sovereign bonds issued in emerging markets. Credit risk is decomposed into default and downgrade risk. We assess the sensitivity of the loss distribution to various parameters. Asset correlations and transition probabilities have the highest impact on portfolio credit losses. As expected, estimates based on transition matrices published by rating agencies are similar, but differ from those using a transition matrix from KMV Corporation. Changes in the risk-free rate result in small changes to the mark-to-market value of the test portfolio, and thus to the losses.
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