August 1, 2001
Posts
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Competition in the Cryptocurrency Market
We analyze how network effects affect competition in the nascent cryptocurrency market. We do so by examining the changes over time in exchange rate data among cryptocurrencies. -
Estimating DSGE-Model-Consistent Trends for Use in Forecasting
The workhorse DSGE model used for monetary policy evaluation is designed to capture business cycle fluctuations in an optimization-based format. It is commonplace to log-linearize models and express them with variables in deviation-from-steady-state format. -
The Canadian Business Cycle: A Comparison of Models
This paper examines the ability of linear and nonlinear models to replicate features of real Canadian GDP. We evaluate the models using various business-cycle metrics. -
Climate-Related Flood Risk to Residential Lending Portfolios in Canada
We assess the potential financial risks of current and projected flooding caused by extreme weather events in Canada. We focus on the residential real estate secured lending (RESL) portfolios of Canadian financial institutions (FIs) because RESL portfolios are an important component of FIs’ balance sheets and because the assets used to secure such loans are immobile and susceptible to climate-related extreme weather events. -
Testing Collusion and Cooperation in Binary Choice Games
This paper studies the testable implication of players’ collusive or cooperative behaviour in a binary choice game with complete information. I illustrate the implementation of this test by revisiting the entry game between Walmart and Kmart. -
November 19, 2019
Financial Stability in an Uncertain World (Full Remarks)
Senior Deputy Governor Carolyn A. Wilkins provides an update on the Canadian financial system and discusses measures in place that increase its resilience in a challenging global environment. -
Why Do Central Banks Make Public Announcements of Open Market Operations?
Central banks communicate the results of open market operations. This helps participants in financial markets more accurately estimate the prevailing demand and supply conditions in the market for overnight loans. -
Analysis of Asymmetric GARCH Volatility Models with Applications to Margin Measurement
We explore properties of asymmetric generalized autoregressive conditional heteroscedasticity (GARCH) models in the threshold GARCH (GTARCH) family and propose a more general Spline-GTARCH model, which captures high-frequency return volatility, low-frequency macroeconomic volatility as well as an asymmetric response to past negative news in both autoregressive conditional heteroscedasticity (ARCH) and GARCH terms.