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2190 Results

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.

Comparison of Bayesian and Sample Theory Parametric and Semiparametric Binary Response Models

We use graphic processing unit computing to compare Bayesian and sample theory semiparametric binary response models. Our findings show that optimal bandwidth does not outperform regular bandwidth in binary semiparametric models.
May 16, 2018

The (Mostly) Long and Short of Potential Output

Remarks Lawrence L. Schembri Ottawa Economics Association and CFA Society Ottawa Ottawa, Ontario
Deputy Governor Lawrence Schembri discusses the importance of potential output to monetary policy, as well as policy challenges and opportunities in a world of low potential output growth.
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

Understanding the Systemic Implications of Climate Transition Risk: Applying a Framework Using Canadian Financial System Data

Our study aims to gain insight on financial stability and climate transition risk. We develop a methodological framework that captures the direct effects of a stressful climate transition shock as well as the indirect—or systemic—implications of these direct effects. We apply this framework using data from the Canadian financial system.

Beating the “pros” with a semi-structural model of their own inflation forecasts

How can Surveys of Professional Forecasters (SPF) be used to improve inflation forecasts? By using US historical quarterly data on SPF forecasts, we provide better understanding of how we can use forecast disagreement to improve our own forecasts.

Identifying Consumer-Welfare Changes when Online Search Platforms Change Their List of Search Results

Staff working paper 2020-5 Ryan Martin
Online shopping is often guided by search platforms. Consumers type keywords into query boxes, and search platforms deliver a list of products. Consumers' attention is limited, and exhaustive searches are often impractical.

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.
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