This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported programs, analyzes the ML prediction results relative to traditional econometric approaches, explores non-linear relationships among predictors indicative of IMF-supported programs, and evaluates model...

Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of predictors (features) which impairs model interpretability and their ability to provide adequate guidance in the design of crisis...

The qualitative and granular nature of most structural indicators and the variety in data sources poses difficulties for consistent cross-country assessments and empirical analysis. We overcome these issues by using a machine learning approach (the partial least squares method) to combine a...

This paper examines empirically the determinants of financial market development in Africa with an emphasis on banking systems and stock markets. The results show that income level, creditor rights protection, financial repression, and political risk are the main determinants of banking sector...

Intro -- Contents -- Executive Summary -- I. INTRODUCTION -- II. LONG- TERM SYSTEMIC RISKS -- III. INNOVATIONS IN RISK TRANSFER MARKETS -- IV. INCOMPLETE MARKETS -- V. POLICY CONSIDERATIONS -- VI. CONCLUSIONS -- References.

This paper presents stylized facts on financial development in the CCA countries relative to their EM and LIC peers and assesses how financial development can boost growth in the CCA. Drawing on IMF's multidimensional index of financial development, we find that CCA countries have made progress...

This paper links the current sub-prime mortgage crisis to a decline in lending standards associated with the rapid expansion of this market. We show that lending standards declined more in areas that experienced larger credit booms and house price increases. We also find that the underlying...

This paper studies how Uruguay's regulatory framework was gradually strengthened to address shortcomings identified during the 2002-03 crisis, to align with international standards and, more recently, to deal with cyclical pressures resulting in an acceleration of bank lending. In particular,...

This paper studies how fiscal policy affects loan market conditions in the US. First, it conducts a Structural Vector-Autoregression analysis showing that the bank spread responds negatively to an expansionary government spending shock, while lending increases. Second, it illustrates that these...

Intro -- Contents -- I. INTRODUCTION -- II. TRENDS IN INTEGRATED SUPERVISION -- III. REVIEW OF LITERATURE ON INTEGRATED FINANCIAL SUPERVISION -- IV. ANALYSIS OF INTERNATIONAL EXPERIENCE WITH INTEGRATED SUPERVISION -- V. CONCLUSIONS -- REFERENCES.