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Benchmark Priors Revisited

Benchmark Priors Revisited »

Source: Benchmark Priors Revisited : On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging

Volume/Issue: 2009/202

Series: IMF Working Papers

Author(s): Martin Feldkircher , and Stefan Zeugner

Publisher: INTERNATIONAL MONETARY FUND

Publication Date: 01 September 2009

ISBN: 9781451873498

Keywords: Bayesian model averaging, hyper-g prior, shrinkage factor, Zellner&;amp;#x2019;s g prior, model uncertainty, growth econometrics, noise, probabilities, statistics, bayes factor

Default prior choices fixing Zellner's g are predominant in the Bayesian Model Averaging literature, but tend to concentrate posterior mass on a tiny set of models. The paper demonstrates this supermodel effect and...

Monitoring and Commitment in Bank Lending Behavior

Monitoring and Commitment in Bank Lending Behavior »

Source: Monitoring and Commitment in Bank Lending Behavior

Volume/Issue: 2005/222

Series: IMF Working Papers

Author(s): Rodolphe Blavy

Publisher: INTERNATIONAL MONETARY FUND

Publication Date: 01 November 2005

ISBN: 9781451862416

Keywords: Bank, monitoring, commitment, asymmetry of information, probability, equation, bank lending, loan commitment, Asymmetric and Private Information, Financial Markets and the Macroeconomy,

The paper proposes a theoretical argument on the nature of bank lending, based on the idea that, through commitment and monitoring, banks overcome basic informational asymmetries with borrowers. By bringing togethe...

Portfolio Credit Risk and Macroeconomic Shocks
			: Applications to Stress Testing Under Data-Restricted Environments

Portfolio Credit Risk and Macroeconomic Shocks : Applications to Stress Testing Under Data-Restricted Environments »

Volume/Issue: 2006/283

Series: IMF Working Papers

Author(s): Miguel Segoviano Basurto

Publisher: INTERNATIONAL MONETARY FUND

Publication Date: 01 December 2006

DOI: http://dx.doi.org/10.5089/9781451865431.001

ISBN: 9781451865431

Keywords: Portfolio credit risk measurement, macroeconomic shock measurement, multivariate density estimation, entropy distribution, credit risk, probability, equation, probabilities, Econometric and Statistical Methods: Other, Model Evaluation and Selection

Portfolio credit risk measurement is greatly affected by data constraints, especially when focusing on loans given to unlisted firms. Standard methodologies adopt convenient, but not necessarily properly specified...

Benchmark Priors Revisited
			: On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging

Benchmark Priors Revisited : On Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging »

Volume/Issue: 2009/202

Series: IMF Working Papers

Author(s): Martin Feldkircher , and Stefan Zeugner

Publisher: INTERNATIONAL MONETARY FUND

Publication Date: 01 September 2009

DOI: http://dx.doi.org/10.5089/9781451873498.001

ISBN: 9781451873498

Keywords: Bayesian model averaging, hyper-g prior, shrinkage factor, Zellner&;amp;#x2019;s g prior, model uncertainty, growth econometrics, noise, probabilities, statistics, bayes factor

Default prior choices fixing Zellner's g are predominant in the Bayesian Model Averaging literature, but tend to concentrate posterior mass on a tiny set of models. The paper demonstrates this supermodel effect and...

Monitoring and Commitment in Bank Lending Behavior

Monitoring and Commitment in Bank Lending Behavior »

Volume/Issue: 2005/222

Series: IMF Working Papers

Author(s): Rodolphe Blavy

Publisher: INTERNATIONAL MONETARY FUND

Publication Date: 01 November 2005

DOI: http://dx.doi.org/10.5089/9781451862416.001

ISBN: 9781451862416

Keywords: Bank, monitoring, commitment, asymmetry of information, probability, equation, bank lending, loan commitment, Asymmetric and Private Information, Financial Markets and the Macroeconomy,

The paper proposes a theoretical argument on the nature of bank lending, based on the idea that, through commitment and monitoring, banks overcome basic informational asymmetries with borrowers. By bringing togethe...