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Estimating structural bond pricing models via simulated maximum likelihood

Max Bruche

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: This paper describes how structural bond pricing models can be estimated using a Simulated Maximum Likelihood procedure developed by Durbin and Koopman (1997). The approach has the advantage that price dated on any traded claim (such as bonds, equity, and credit default swaps), as well as information about the balance sheet (e.g. accounting data) can be used in the estimation, improving efficiency. Monte Carlo evidence as well as a small application to real data indicates that this approach is superior to both traditional estimation methods and recently proposed versions of Maximum Likelihood Estimation (Ericsson, Reneby 2002)

JEL-codes: E30 (search for similar items in EconPapers)
Pages: 29 pages
Date: 2005-04-01
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Citations: View citations in EconPapers (7)

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