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Investing in Credit: How Good is Your Information?Lisa R. GoldbergUniversity of California at Berkeley Risk, Vol. 17, No. 1, pp. S16-S18, January 2004 Abstract: We describe a class of quantitative credit risk models that take account of the unavoidable gaps in investors' information. These incomplete information models are structural/reduced form hybrids. They combine the best features of both traditional approaches while avoiding many of their shortcomings.
Number of Pages in PDF File: 3 Keywords: Credit risk, incomplete information, default, recovery, risk premium, power curve JEL Classification: G33, C52, C53, G12, G13, G14 Accepted Paper SeriesDate posted: February 28, 2004Suggested CitationContact Information
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