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...

This paper gauges the key determinants of China's private consumption in relation to GDP using data on the Chinese economy and evidence from other countries' experiences. The results suggest there is nothing ""special"" about consumption in China. Rather, the challenge is to explain why the...

The paper has three objectives. After a general introduction to some of the concepts and basic techniques of stress testing, the paper gives an overview of some of the conceptual issues involved in evaluating risks at the aggregated level of financial systems. Second, this study provides a basic...

The paper examines the scope for cross-border spillovers among major EU banks using information contained in the stock prices and financial statements of these banks. The results suggest that spillovers within domestic banking systems generally remain more likely, but the number of significant...

We analyze the capital controls imposed in Malaysia in September 1998. In macroeconomic terms, these controls neither yielded major benefits nor were costly. At the same time, the stock market interpreted the capital controls (and associated events) as favoring firms with stronger political...

We analyze the performance of the Amman Stock Exchange (ASE) and its integration with other markets. Using cointegration techniques, we find that the ASE and other Arab stock markets are cointegrated, which implies little long-run risk diversification. However, there is no cointegrating...

Emerging European countries have made large strides in developing their local capital markets since the early-1990s. However, the rate of development has been widely disparate across countries and market segments, underpinned by the varying degrees of progress made in key areas such as...

Capital markets in the East African Community (EAC) face common challenges of low capitalization and liquidity, but to different degrees. EAC member countries have made noticeable progress in developing domestic capital markets through a regional approach, removing constraints on capital...

In this paper we identify some of the main factors behind systemic risk in a set of international large-scale complex banks using the novel CoVaR approach. We find that short-term wholesale funding is a key determinant in triggering systemic risk episodes. In contrast, we find no evidence that a...