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Title Pilot project on concentration and distribution measures for a selected set of financial soundness indicators / prepared by Joseph Crowley, Plapa Koukpamou, Elena Loukoianova and Andre Mialou
Published [Washington, D.C.] : International Monetary Fund, 2016
©2016

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Description 1 online resource (25 pages) : illustrations
Series IMF Working Paper, 1018-5941 ; WP/16/26
IMF working paper ; WP/16/26.
Contents Cover; Contents; I. Introduction; II. Modalities of the Pilot Project; A. Indicators and Reporting Thresholds; B. Definitions of CDMs; Concentration; Measures of Dispersion; III. Results of the Pilot Project; IV. Characteristics of the Submitted Data; V. Possible Refinements to the CDM Reporting; A. Additional CDMs; B. Minimum Number of Institutions; VI. Possible Way Forward; References; Tables; 1. Pilot Project: Subset of Financial Soundness Indicators; 2. Pilot Project: Concentration and Distribution Measures; 3: List of New FSIs; Figures; 1. Participation in the Pilot Project
2. Number of Participating Countries for Selected CDMs3. Distribution of the Minimum Values of Tier 1 Capital to Risk-Weighted Assets; 4. Distributions of the Maximum Values of NPLs to Total Gross Loans; 5. Distribution of Minimum Values of Tier 1 Capital to RWA by Country; 6. Distribution of the number of DTs Sector in Participating Countries; Appendix; I. FSIRG Composition
Summary This paper reports the main findings of a pilot project launched in July 2014 by the IMF Statistics Department to test augmenting the IMF financial soundness indicators (FSIs) with concentration and distribution measures (CDMs) to capture tail risks, concentrations, variations in distributions, and the volatility of indicators over time that simple averages can miss. Volunteer participants reported a trial set of CDMs to assess analytical usefulness and identify concerns such as confidentiality and reporting burden. The results of the pilot suggests that CDMs can help detect financial sector risks, justifying the additional reporting burden but that further input from participating countries and potential data users should be sought; indeed further refinement of the reporting requirements and the CDMs themselves may be needed. --Abstract
Notes "Prepared by Joseph Crowley, Plapa Koukpamou, Elena Loukoianova, and Andre Mialou."
"February 2016."
"Statistics Department."
Bibliography Includes bibliographical references (page 24)
Notes Online resource; title from pdf title page (IMF.org Web site, viewed February 22, 2016)
Subject International Monetary Fund.
SUBJECT International Monetary Fund. fast (OCoLC)fst00556666
Subject Financial risk management -- Econometric models
Financial institutions -- Accounting -- Econometric models
Form Electronic book
Author Crowley, Joe, (IMF staff)
Koukpamou, Plapa, (IMF staff)
Loukoianova, Elena, (IMFstaff)
Mialou, André, (IMFstaff)
International Monetary Fund. Statistics Department, issuing body.
ISBN 1498337015
9781498337014
ISSN 1018-5941