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In this paper, we explore the link between stress in the domestic financial sector and the capital flight faced by countries in the 2008-9 global crisis. Both the timing of emergence of internal financial stress in developing economies, and the size of the peak-trough declines in the stock price indices was comparable to that in high income countries, indicating that there was no decoupling, even before Lehman Brothers’ demise.

When prices are sticky, movements in the nominal exchange rate have a direct impact on international relative prices. A relative price misalignment would trigger an adjustment in consumption and employment, and may help to predict future movements in the exchange rate.

We construct a monthly real-time data set consisting of vintages for 1991.1-2010.12 that is suitable for generating forecasts of the real price of oil from a variety of models.

Over the past 10 years, financial firms have increased the size of their positions in the oil futures market. At the same time, oil prices have increased dramatically.

In emerging-market economies, real exchange rate adjustment is critical for maintaining a sustainable current account position and thereby for helping to reduce macroeconomic and financial instability.

We address some of the key questions that arise in forecasting the price of crude oil. What do applied forecasters need to know about the choice of sample period and about the tradeoffs between alternative oil price series and model specifications?

As part of their policy response to the financial crisis of 2007–09, central banks introduced numerous unprecedented monetary policy measures to provide monetary easing. This article defines and documents these measures, focusing on central bank asset purchases and their impact on central bank balance sheets. It then discusses the challenges of identifying the effects of these measures and explores possible exit strategies. The potential costs of these policies are also analyzed, as well as the broader implications for monetary policy frameworks.

We evaluate different approaches for using monthly indicators to predict Chinese GDP for the current and the next quarter (‘nowcasts’ and ‘forecasts’, respectively). We use three types of mixed-frequency models, one based on an economic activity indicator (Liu et al., 2007), one based on averaging over indicator models (Stock and Watson, 2004), and a static factor model (Stock and Watson, 2002).

We develop a closed economy model to study the interactions among sovereign risk premia, fiscal limits, and fiscal policy. The stochastic fiscal limits, which measure the ability and willingness of the government to service its debt, arise endogenously from a dynamic Laffer curve.

Building on the growing evidence on the importance of large data sets for empirical macroeconomic modeling, we use a factor-augmented VAR (FAVAR) model with more than 260 series for 20 OECD countries to analyze how global developments affect the Canadian economy.