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Do banks realize simultaneous trading losses because they invest in the same assets, or because different assets are subject to the same macro shocks? This paper decomposes the comovements of bank trading losses into two orthogonal channels: portfolio overlap and common shocks.

An essential element of the Bank of Canada's inflation-targeting framework is a floating exchange rate that is free to adjust in response to shocks that affect the Canadian and world economies. This floating rate plays an important role in the transmission mechanism for monetary policy. A practical question is how the Bank of Canada incorporates currency movements into the monetary policy decision-making process. Only after determining the cause and persistence of exchange rate change, and its likely net effect on aggregate demand, can the Bank decide on the appropriate policy response to keep inflation low, stable, and predictable. Ragan reviews the need to target inflation and the transmission mechanism for monetary policy, including the role of the exchange rate, before describing two types of exchange rate movements and their implications for monetary policy.

The purpose of this study is to test the hypothesis that inflation uncertainty increases at higher levels of inflation. Our analysis is based on the generalized autoregressive conditional heteroscedasticity (GARCH) class of models, which allow the conditional variance of the error term to be time-varying. Since this variance is a proxy for inflation uncertainty, a positive relationship between the conditional variance and inflation would be interpreted as evidence that inflation uncertainty increases with the level of inflation.

Understanding the size of sectoral links is crucial to predicting the impact of a crisis on the whole economy. We show that statistical learning techniques substantially outperform traditional estimation techniques when measuring large networks of these links.

This paper examines the implications of positive news about future asset values that turn out to be incorrect at a later date in an open economy model with banking. The model captures the patterns of bank credit and current account dynamics in Spain between 2000 and 2010. The model finds that the use of unconventional policies leads to a milder bust.

Governor Mark Carney discusses why Canada’s exports are lagging and what can be done to respond to the underlying challenges.

The Risk Amplification Macro Model (RAMM) is a new nonlinear two-country dynamic model that captures rare but severe adverse shocks. The RAMM can be used to assess the financial stability implications of both domestic and foreign-originated risk scenarios.

With your professional interests in foreign exchange, money markets, capital markets, and derivatives, I'm sure the past year and a half has been exciting and interesting – if those are the right words. We've been living through a period of astonishing financial turbulence, historic marketplace losses, and serious threats to financial stability.

This paper studies how financial shocks shape the distribution of output growth by introducing a quantile-augmented vector autoregression (QAVAR), which integrates quantile regressions into a structural VAR framework. The QAVAR preserves standard shock identification while delivering flexible, nonparametric forecasts of conditional moments and tail risk measures for gross domestic product.