It takes the average reader 4 hours and 40 minutes to read Rating Based Modeling of Credit Risk by Stefan Trueck
Assuming a reading speed of 250 words per minute. Learn more
In the last decade rating-based models have become very popular in credit risk management. These systems use the rating of a company as the decisive variable to evaluate the default risk of a bond or loan. The popularity is due to the straightforwardness of the approach, and to the upcoming new capital accord (Basel II), which allows banks to base their capital requirements on internal as well as external rating systems. Because of this, sophisticated credit risk models are being developed or demanded by banks to assess the risk of their credit portfolio better by recognizing the different underlying sources of risk. As a consequence, not only default probabilities for certain rating categories but also the probabilities of moving from one rating state to another are important issues in such models for risk management and pricing. It is widely accepted that rating migrations and default probabilities show significant variations through time due to macroeconomics conditions or the business cycle. These changes in migration behavior may have a substantial impact on the value-at-risk (VAR) of a credit portfolio or the prices of credit derivatives such as collateralized debt obligations (D+CDOs). In Rating Based Modeling of Credit Risk the authors develop a much more sophisticated analysis of migration behavior. Their contribution of more sophisticated techniques to measure and forecast changes in migration behavior as well as determining adequate estimators for transition matrices is a major contribution to rating based credit modeling. Internal ratings-based systems are widely used in banks to calculate their value-at-risk (VAR) in order to determine their capital requirements for loan and bond portfolios under Basel II One aspect of these ratings systems is credit migrations, addressed in a systematic and comprehensive way for the first time in this book The book is based on in-depth work by Trueck and Rachev
Rating Based Modeling of Credit Risk by Stefan Trueck is 280 pages long, and a total of 70,000 words.
This makes it 94% the length of the average book. It also has 86% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 22 minutes to read Rating Based Modeling of Credit Risk aloud.
Rating Based Modeling of Credit Risk is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
Rating Based Modeling of Credit Risk by Stefan Trueck is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
To buy Rating Based Modeling of Credit Risk by Stefan Trueck on Amazon click the button below.
Buy Rating Based Modeling of Credit Risk on Amazon