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Pilot Project on Concentration and Distribution Measures for a Selected Set of Financial Soundness Indicators
This paper reports the main findings of a pilot project launched in July 2014 by the IMF’s Statistics Department to test augmenting the IMF’s 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.
Monetary and Financial Statistics Manual and Compilation Guide
This edition of Monetary and Financial Statistics Manual and Compilation Guide (Manual) updates and merges into one volume methodological and practical aspects of the compilation process of monetary statistics. The Manual is aimed at compilers and users of monetary data, offering guidance for the collection and analytical presentation of monetary statistics. The Manual includes standardized report forms, providing countries with a tool for compiling and reporting harmonized data for the central bank, other depository corporations, and other financial corporations.
Assessing Countries’ Financial Inclusion Standing - A New Composite Index
This paper leverages the IMF’s Financial Access Survey (FAS) database to construct a new composite index of financial inclusion. The topic of financial inclusion has gathered significant attention in recent years. Various initiatives have been undertaken by central banks both in advanced and developing countries to promote financial inclusion. The issue has also attracted increasing interest from the international community with the G-20, IMF, and World Bank Group assuming an active role in developing and collecting financial inclusion data and promoting best practices to improve financial inclusion. There is general recognition among policy makers that financial inclusion plays a significant role in sustaining employment, economic growth, and financial stability. Nonetheless, the issue of its robust measurement is still outstanding. The new composite index uses factor analysis to derive a weighting methodology whose absence has been the most persistent of the criticisms of previous indices. Countries are then ranked based on the new composite index, providing an additional analytical tool which could be used for surveillance and policy purposes on a regular basis.
Balance Sheet Analysis in Fund Surveillance
Balance sheets convey vital information about economic prospects and risks. Balance sheet analysis captures the role that financial frictions and mismatches play in creating fragility and amplifying shocks. This is key to understanding the macroeconomic outlook, identifying vulnerabilities, and tracing the transmission of potential shocks and policies. This paper reviews the use of balance sheet analysis in the Fund’s bilateral surveillance and introduces some practical examples of how it can be deepened. Recent evaluations of IMF surveillance––including the 2014 TSR––have emphasized the importance of strengthening balance sheet analysis and coverage of macro-financial issues. This paper is a first step that highlights useful examples of such analysis conducted by staff over the last decade, documents the data and tools that have been used, and mentions some limitations. In addition, it discusses recent improvements in the coverage and quality of balance sheet data through initiatives launched in the wake of the global crisis, as well as key remaining gaps, addressing which requires international collaboration.
Financial Stability Analysis: What are the Data Needs?
The growing incidences of financial crises and their damage to the economy has led policy makers to sharpen the focus on financial stability analysis (FSA), crisis prevention and management over the past 10–15 years. The statistical world has reacted with a number of initiatives, but does more need to be done? Taking a holistic view, based on a review of experiences of policy makers and analysts, this paper identifies common international threads in the data needed for FSA and suggests ways to address these. While there has been an encouragingly constructive response by statisticians, not least through the G-20 Data Gaps Initiative, more work is needed, including with regard to shadow banking, capital flows, corporate borrowing, and granular data. Further, to support FSA, the paper identifies potential enhancements to the conceptual advice in statistical manuals including with regard to foreign currency and remaining maturity.
IMF Research Bulletin, March 2016
The IMF Research Bulletin includes listings of recent IMF Working Papers and Staff Discussion Notes. The research summaries in this issue are “Explaining the Recent Slump in Investment” (Mathieu Bussiere, Laurent Ferrara, and Juliana Milovich) and “The Quest for Stability in the Housing Markets” (Hites Ahir). The Q&A column reviews “Seven Questions on Estimating Monetary Transmission Mechanism in Low-Income Countries” (Bin Grace Li, Christopher Adam, and Andrew Berg). Also included in this issue are updates on the IMF’s official journal, the IMF Economic Review, and recommended readings from IMF Publications.
Financial Soundness Indicators Compilation Guide 2019
The 2019 Financial Soundness Indicators Compilation Guide (2019 Guide) includes new indicators to expand the coverage of the financial sector, including other financial intermediaries, money market funds, insurance corporations, pension funds, nonfinancial corporations, and households. In all, the 2019 Guide recommends the compilation of 50 FSIs—13 of them new. Additions such as new capital, liquidity and asset quality metrics, and concentration and distribution measures will serve to enhance the forward-looking aspect of FSIs and contribute to increase policy focus on stability of the financial system.
A New Heuristic Measure of Fragility and Tail Risks
This paper presents a simple heuristic measure of tail risk, which is applied to individual bank stress tests and to public debt. Stress testing can be seen as a first order test of the level of potential negative outcomes in response to tail shocks. However, the results of stress testing can be misleading in the presence of model error and the uncertainty attending parameters and their estimation. The heuristic can be seen as a second order stress test to detect nonlinearities in the tails that can lead to fragility, i.e., provide additional information on the robustness of stress tests. It also shows how the measure can be used to assess the robustness of public debt forecasts, an important issue in many countries. The heuristic measure outlined here can be used in a variety of situations to ascertain an ordinal ranking of fragility to tail risks.
Government Finance Statistics Manual 2014
The 2007–09 international financial crisis underscored the importance of reliable and timely statistics on the general government and public sectors. Government finance statistics are a basis for fiscal analysis and they play a vital role in developing and monitoring sound fiscal programs and in conducting surveillance of economic policies. The Government Finance Statistics Manual 2014 represents a major step forward in clarifying the standards for compiling and presenting fiscal statistics and strengthens the worldwide effort to improve public sector reporting and transparency.
Financial Stability Analysis: What are the Data Needs?
The growing incidences of financial crises and their damage to the economy has led policy makers to sharpen the focus on financial stability analysis (FSA), crisis prevention and management over the past 10–15 years. The statistical world has reacted with a number of initiatives, but does more need to be done? Taking a holistic view, based on a review of experiences of policy makers and analysts, this paper identifies common international threads in the data needed for FSA and suggests ways to address these. While there has been an encouragingly constructive response by statisticians, not least through the G-20 Data Gaps Initiative, more work is needed, including with regard to shadow banking, capital flows, corporate borrowing, and granular data. Further, to support FSA, the paper identifies potential enhancements to the conceptual advice in statistical manuals including with regard to foreign currency and remaining maturity.
