Correlated defaults, temporal correlation, expert information and predictability of default rates

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Correlated Defaults, Temporal Correlation, Expert Information and Predictability of Default Rates

Dependence among defaults both across assets and over time has proven to be an important characteristic of financial risk. A Bayesian approach to default rate estimation is proposed and illustrated using a prior distributions assessed from an experienced industry expert. Two extensions of the binomial model, most common in applications, are proposed. The first allows correlated defaults yet rem...

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Default Estimation, Correlated Defaults, and Expert Information

Capital allocation decisions are made on the basis of an assessment of creditworthiness. Default is a rare event for most segments of a bank’s portfolio and data information can be minimal. Inference about default rates is essential for efficient capital allocation, for risk management and for compliance with the requirements of the Basel II rules on capital standards for banks. Expert informat...

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Default Estimation and Expert Information

Default is a rare event, even in segments in the midrange of a bank’s portfolio. Inference about default rates is essential for risk management and for compliance with the requirements of Basel II. Most commercial loans are in the middle-risk categories and are to unrated companies. Expert information is crucial in inference about defaults. A Bayesian approach is proposed and illustrated using ...

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Temporal Correlation of Defaults in Subprime Securitization

The securitization of subprime mortgages in instruments like mortgage-backed securities and collateralized debt obligations is one of the key ingredients to the current financial crisis. During 2007 and 2008, subprime defaults increased sharply, displaying high serial correlation in their arrival. Subprime default events depend on house price changes. We establish a link between the dynamics of...

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ژورنال

عنوان ژورنال: Econometric Reviews

سال: 2017

ISSN: 0747-4938,1532-4168

DOI: 10.1080/07474938.2017.1307547