The analysis of interconnectedness and contagion is an important part of the financial stability and risk assessment of a country's financial system. This paper offers detailed and practical guidance on how to conduct a comprehensive analysis of interconnectedness and contagion for a country's...

We leverage insights from machine learning to optimize the trade off between bias and variance when estimating economic models using pooled datasets. Specifically, we develop a simple algorithm that estimates the similarity of economic structures across countries and selects the optimal pool of...

We examine the extent to which declining manufacturing employment may havecontributed to increasing inequality in advanced economies. This contribution is typicallysmall, except in the United States. We explore two possible explanations: the high initialmanufacturing wage premium and the high...

Extending previous work on the determinants of IMF lending in an interconnected world, we introduce a model of sample selection in which both selection and size dimensions of individual IMF arrangements are presented within a unified econometric framework. We allow for unobserved heterogeneity...

We describe the evolution of forecasts in the run-up to recessions. The GDP forecasts cover 63 countries for the years 1992 to 2014. The main finding is that, while forecasters are generally aware that recession years will be different from other years, they miss the magnitude of the recession...

To identify and quantify downside risks to housing markets, we apply the house price-at-risk methodology to a sample of 37 cities across the United States and Canada using quarterly data from 1983 to 2018. This paper finds that downside risks to housing markets in the United States have...

Investors seek to hedge against interest rate risk by taking long or short positions on bonds ofdifferent maturities. We study changes in risk taking behavior in a low interest rateenvironment by estimating a market stochastic discount factor that is non-linear and thereforeconsistent with the...

Central banks in emerging and developing economies (EMDEs) have been modernizing their monetary policy frameworks, often moving toward inflation targeting (IT). However, questions regarding the strength of monetary policy transmission from interest rates to inflation and output have often...

We compared the predictive performance of a series of machine learning and traditional methods for monthly CDS spreads, using firms' accounting-based, market-based and macroeconomics variables for a time period of 2006 to 2016. We find that ensemble machine learning methods (Bagging, Gradient...

This paper assesses house prices in 11 Canadian Census Metropolitan Areas (CMA) using the borrowing-capacity and the net-present-value approaches. The results indicate that by the end of 2018, house prices in most metropolitan areas are aligned with macroeconomic fundamentals. However, in...