This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Estimating the Structural Credit Risk Model When Equity Prices Are Contaminated by Trading Noises

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Duan, Jin-Chuan () (Rotman School of Management, University of Toronto)
Fulop, Andras () (ESSEC Business School)
Abstract

The transformed-data maximum likelihood estimation (MLE) method for structural credit risk models developed by Duan (1994) is extended to account for the fact that observed equity prices may have been contaminated by trading noises. With the presence of trading noises, the likelihood function based on the observed equity prices can only be evaluated via some nonlinear filtering scheme. We devise a particle filtering algorithm that is practical for conducting the MLE estimation of the structural credit risk model of Merton (1974). We implement the method on the Dow Jones 30 firms and on 100 randomly selected firms, and find that ignoring trading noises can lead to significantly over-estimating the firm’s asset volatility. The estimated magnitude of trading noise is in line with the direction that a firm’s liquidity will predict based on three common liquidity proxies. A simulation study is then conducted to ascertain the performance of the estimation method.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.essec.fr/faculty/showDeclFileRes.do?declId=7051&key=__workpaper__
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by ESSEC Research Center, ESSEC Business School in its series ESSEC Working Papers with number DR 06015.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 30 pages
Date of creation: Oct 2006
Date of revision:
Handle: RePEc:ebg:essewp:dr-06015

Contact details of provider:
Postal: ESSEC Research Center, BP 105, 95021 Cergy, France
Email:
Web page: http://www.essec.edu/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Françoise Cousseau).

Related research
Keywords: Credit Risk; Maximum Likelihood; Microstructure; Option Pricing; Particle Filtering;

Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Harris, Lawrence, 1990. "Estimation of Stock Price Variances and Serial Covariances from Discrete Observations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(03), pages 291-306, September. [Downloadable!]
  2. Yacine Aït-Sahalia, 2005. "How Often to Sample a Continuous-Time Process in the Presence of Market Microstructure Noise," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 18(2), pages 351-416. [Downloadable!] (restricted)
    Other versions:
  3. Hasbrouck, Joel, 1993. "Assessing the Quality of a Security Market: A New Approach to Transaction-Cost Measurement," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 6(1), pages 191-212. [Downloadable!] (restricted)
  4. Jarrow, Robert A. & Turnbull, Stuart M., 2000. "The intersection of market and credit risk," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 271-299, January. [Downloadable!] (restricted)
  5. Duan, Jin-Chuan & Simonato, Jean-Guy, 2002. "Maximum likelihood estimation of deposit insurance value with interest rate risk," Journal of Empirical Finance, Elsevier, vol. 9(1), pages 109-132, January. [Downloadable!] (restricted)
  6. Ananth Madhavan & Matthew Richardson & Mark Roomans, 1996. "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks," New York University, Leonard N. Stern School Finance Department Working Paper Seires 96-34, New York University, Leonard N. Stern School of Business-.
    Other versions:
  7. Jan Ericsson, 2005. "Estimating Structural Bond Pricing Models," Journal of Business, University of Chicago Press, vol. 78(2), pages 707-706, March. [Downloadable!]
  8. Zhang, Lan & Mykland, Per A. & Ait-Sahalia, Yacine, 2005. "A Tale of Two Time Scales: Determining Integrated Volatility With Noisy High-Frequency Data," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1394-1411, December. [Downloadable!] (restricted)
    Other versions:
  9. Duan, Jin-Chuan & Yu, Min-Teh, 1994. "Assessing the cost of Taiwan's deposit insurance," Pacific-Basin Finance Journal, Elsevier, vol. 2(1), pages 73-90, March. [Downloadable!] (restricted)
    Other versions:
  10. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-54, May-June. [Downloadable!] (restricted)
  11. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-70, May. [Downloadable!] (restricted)
    Other versions:
  12. Ericsson, Jan & Reneby, Joel, 2003. "Valuing Corporate Liabilities," SIFR Research Report Series 15, Institute for Financial Research. [Downloadable!]
Full references

Statistics
Access and download statistics

Did you know? You can create your own reading lists on IDEAS.

This page was last updated on 2009-12-9.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.