Analysis and Evaluation of Corporate Bonds
Christoph Klein
Abstract
Christoph Klein
Abstract
Issuers' credit qualities change over time. For this reason, permanent credit assessments play an important role to determine and price credit instruments. The ability to perform this task is a key factor in successful credit risk management. This is especially true for issuers where rating agencies do not provide credit ratings. But even in cases where external credit ratings are available, internal assessments are important to be able to react quickly to new information and situations (such as leveraged buyout news) as agencies' credit rating changes might happen after the credit instrument's price has already moved. Quantitative credit rating models (for example, Altman's Z score model) are efficient tools to assess and estimate credit qualities. These models are based on combinations of fundamentally important financial ratios and can differ across industry sectors. Calibrating the model results into rating notches enables the user to compare the internal credit rating to the credit agencies' ratings allowing comparative analyses and relative value considerations. The sophisticated credit analyst will be able to forecast the ratios using consistent scenario analysis and assumptions, employ the quantitative credit models, and will receive forward-looking credit rating estimates. This will deliver a competitive advantage and should result in a material contribution to enhancing the credit portfolios' risk return profile.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Issuers' credit qualities change over time. For this reason, permanent credit assessments play an important role to determine and price credit instruments. The ability to perform this task is a key factor in successful credit risk management. This is especially true for issuers where rating agencies do not provide credit ratings. But even in cases where external credit ratings are available, internal assessments are important to be able to react quickly to new information and situations (such as leveraged buyout news) as agencies' credit rating changes might happen after the credit instrument's price has already moved. Quantitative credit rating models (for example, Altman's Z score model) are efficient tools to assess and estimate credit qualities. These models are based on combinations of fundamentally important financial ratios and can differ across industry sectors. Calibrating the model results into rating notches enables the user to compare the internal credit rating to the credit agencies' ratings allowing comparative analyses and relative value considerations. The sophisticated credit analyst will be able to forecast the ratios using consistent scenario analysis and assumptions, employ the quantitative credit models, and will receive forward-looking credit rating estimates. This will deliver a competitive advantage and should result in a material contribution to enhancing the credit portfolios' risk return profile.
Key concepts: Credit rating, Credit enhancement, Bond credit rating, Issuer, Credit risk, Credit reference, Credit history, Credit valuation adjustment