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2191 Results

Sectoral Uncertainty

Staff working paper 2022-38 Efrem Castelnuovo, Kerem Tuzcuoglu, Luis Uzeda
We propose a new empirical framework that jointly decomposes the conditional variance of economic time series into a common and a sector-specific uncertainty component. We apply our framework to a disaggregated industrial production series for the US economy. We identify unexpected changes in durable goods uncertainty as drivers of downturns, while unexpected hikes in non-durable goods uncertainty are expansionary.

COVID-19 Crisis: Lessons Learned for Future Policy Research

One year later, we review the events that took place in Canadian fixed-income markets at the beginning of the COVID-19 crisis and propose potential policy research questions for future work.

A Behavioral New Keynesian Model of a Small Open Economy Under Limited Foresight

Staff working paper 2023-44 Seunghoon Na, Yinxi Xie
This paper studies exchange rate dynamics by incorporating bounded rationality, that is, limited foresight, in a small open-economy model. This behavior of limited foresight helps explain several observations and puzzles in the data of exchange rate movements.
November 16, 2017

Factors Behind the 2014 Oil Price Decline

Oil prices have declined sharply over the past three years. While both supply and demand factors played a role in the large oil price decline of 2014, global supply growth seems to have been the predominant force. The most important drivers were likely the surprising growth of US shale oil production, the output decisions of the Organization of the Petro-leum Exporting Countries and the weaker-than-expected global growth that followed the 2009 global financial crisis.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): Q, Q4, Q41, Q43
August 15, 2013

Monitoring Short-Term Economic Developments in Foreign Economies

The Bank of Canada uses several short-term forecasting models for the monitoring of key foreign economies - the United States, the euro area, Japan and China. The design of the forecasting models used for each region is influenced by the level of detail required, as well as the timeliness and volatility of data. Forecasts from different models are typically combined to mitigate model uncertainty, and judgment is applied to the model forecasts to incorporate information that is not directly reflected in the most recent indicators.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E3, E37

Consumers’ Path to Mortgage Delinquency

Staff analytical paper 2026-3 Laura Zhao, Jia Qi Xiao, Aidan Witts
Analyzing TransUnion data from 2015–2024, this study identifies a systematic timeline of distress where rising credit utilization and non-mortgage arrears precede mortgage delinquency by up to two years. This deterioration intensifies in the final six months, providing a robust suite of high-frequency indicators for monitoring emerging household stress.

Bouncing Back: How Mothballing Curbs Prices

We investigate the macroeconomic impacts of mothballed businesses—those that closed temporarily—on sectoral equilibrium prices after a negative demand shock. Our results suggest that pandemic fiscal support for temporary closures may have eased inflationary pressures.

Multibank Holding Companies and Bank Stability

Staff working paper 2018-51 Radoslav Raykov, Consuelo Silva-Buston
This paper studies the relationship between bank holding company affiliation and the individual and systemic risk of banks. Using the 2005 hurricane season in the US as an exogenous shock to bank balance sheets, we show that banks that are part of a holding parent company are more resilient than independent banks.
June 11, 2009

The Complexities of Financial Risk Management and Systemic Risks

Risk-management systems in financial institutions have come under increasing scrutiny in light of the current financial crisis, resulting in calls for improvements and an increased role for regulators. Yet such objectives miss the intricacy at the heart of the risk-management process. This article outlines the complexity inherent in any modern risk-management system, which arises because there are shortcuts in the theoretical models that risk managers need to be aware of, as well as the difficulties in sensible calibration of model parameters. The author suggests that prudential regulation of such systems should focus on failures within the financial firm and in the market interactions between firms and reviews possible strategies that can improve the performance of risk management and microprudential regulatory practice.
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