Application of nonlinear filtering to credit risk

✍ Scribed by Vivek S. Borkar; Mrinal K. Ghosh; G. Rangarajan

• Publisher: Elsevier Science
• Year: 2010
• Tongue: English
• Weight: 241 KB
• Volume: 38
• Category: Article
• ISSN: 0167-6377
• DOI: 10.1016/j.orl.2010.08.013

✦ Synopsis

Merton's model views equity as a call option on the asset of the firm. Thus the asset is partially observed through the equity. Then using nonlinear filtering an explicit expression for likelihood ratio for underlying parameters in terms of the nonlinear filter is obtained. As the evolution of the filter itself depends on the parameters in question, this does not permit direct maximum likelihood estimation, but does pave the way for the 'Expectation-Maximization' method for estimating parameters.