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1686 Results

Predictive Density Combination Using a Tree-Based Synthesis Function

This paper studies non-parametric combinations of density forecasts. We introduce a regression tree-based approach that allows combination weights to vary on the features of the densities, time-trends or economic indicators. In two empirical applications, we show the benefits of this approach in terms of improved forecast accuracy and interpretability.

Lending Standards, Productivity and Credit Crunches

Staff working paper 2019-25 Jonathan Swarbrick
We propose a macroeconomic model in which adverse selection in investment drives the amplification of macroeconomic fluctuations, in line with prominent roles played by the credit crunch and collapse of the asset-backed security market in the financial crisis.

Central Bank Digital Currency: Motivations and Implications

Staff discussion paper 2017-16 Walter Engert, Ben Fung
The emergence of digital currencies such as Bitcoin and the underlying blockchain and distribution ledger technology have attracted significant attention. These developments have raised the possibility of considerable impacts on the financial system and perhaps the wider economy.

Climate Variability and International Trade

Staff working paper 2023-8 Geoffrey R. Dunbar, Walter Steingress, Ben Tomlin
This paper quantifies the impact of hurricanes on seaborne international trade to the United States. Matching the timing of hurricane–trade route intersections with monthly U.S. port-level trade data, we isolate the unanticipated effects of a hurricane hitting a trade route using two separate identification schemes: an event study and a local projection.
August 16, 2012

Measurement Bias in the Canadian Consumer Price Index: An Update

The consumer price index (CPI) is the most commonly used measure to track changes in the overall level of prices. Since it departs from a true cost-of-living index, the CPI is subject to four types of measurement bias—commodity substitution, outlet substitution, new goods and quality adjustment. The author updates previous Bank of Canada estimates of measurement bias in the Canadian CPI by examining these four sources of potential bias. He finds the total measurement bias over the 2005–11 period to be about 0.5 percentage point per year, consistent with the Bank’s earlier findings. Slightly more than half of this bias is caused by the fixed nature of the CPI basket of goods and services.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E3, E31, E5, E52

BoC–BoE Sovereign Default Database: Methodology and Assumptions

Technical report No. 124 David Beers, Obiageri Ndukwe, Joe Berry
The Bank of Canada (BoC), in partnership with the Bank of England (BoE), developed a comprehensive database of sovereign defaults in 2014. The database is posted on the Bank of Canada’s website and updated annually. The BoC–BoE database draws on datasets published by various public and private sector sources. It combines elements of these, together with new information, to develop comprehensive estimates of stocks of government obligations in default.
May 16, 2019

Financial System Review—2019

In our Financial System Review, we identify the main vulnerabilities and risks to financial stability in Canada and explain how they have evolved over the past year. This issue reflects the Bank’s judgment that the vulnerabilities associated with high household debt and imbalances in the housing market have declined modestly but remain significant. The Financial System Review is a product of the Governing Council of the Bank of Canada: Stephen S. Poloz, Carolyn A. Wilkins, Timothy Lane, Lawrence Schembri, Lynn Patterson and Paul Beaudry.

The Propagation of Regional Shocks in Housing Markets: Evidence from Oil Price Shocks in Canada

Staff working paper 2018-56 Lutz Kilian, Xiaoqing Zhou
How do global oil price shocks spread through Canada’s economy? With Canada’s regionally diverse economy in mind, we explore the implications of oil price shocks for Canadian housing markets and regional economies. We show that the belief that oil price shocks only matter in oil-rich regions is false.
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