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...

We develop a mixed-frequency, tree-based, gradient-boosting model designed to assess the default risk of privately held firms in real time. The model uses data from publicly-traded companies to construct a probability of default (PD) function. This function integrates high-frequency,...

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...

Slower passthrough of policy interest rate hikes to deposit rates relative to their loan rates has led to sharply wider bank net interest margins. Combined with resilient asset quality, wider net interest margins supported record profits for European banks in 2023. Drawing on historical data...

In this paper, we study systemic non-financial corporate sector distress using firm-level probabilities of default (PD), covering 55 economies, and spanning the last three decades. Systemic corporate distress is identified by elevated PDs across a large portion of the firms in an economy. A...

Despite increased need for top-down stress tests of financial institutions, performing them is challenging owing to the absence of granular information on banks’ trading and loan portfolios. To deal with these data shortcomings, this paper presents a market-based structural top-down stress...

This paper, using T-GARCH models, finds that the United States has been the major source of price and volatility spillovers to stock markets in the Asian region during three different periods in the last decade: the pre-Long Term Capital Management crisis period, the "tech bubble" period, and...

This paper draws a link between international capital flows and the real options approach to investment by extending a model of real estate investment. It explains gradual investment, investment booms, and investment during recessions and emphasizes sunk costs, uncertainty, and the value of...

In this paper, we use the extreme value theory (EVT) framework to analyze contagion risk across the international banking system. We test for the likelihood that an extreme shock affecting a major, systemic U.K. bank would also affect another large local or foreign counterpart, and vice-versa....

The implementation of the Commercial Rehabilitation Law (CRL) on April 1, 2000 was considered a key event in setting up the official infrastructure supporting corporate restructuring in Japan. This study evaluates the stock price impact of restructuring announcements before and after the CRL...