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Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals.

Financial sector bailouts, while potentially beneficial during a crisis, might lead to excessive risk taking if anticipated. Taking expectations and aggregate risk implications into account, we show that bailouts can be welfare improving, but only if capital adequacy constraints are sufficiently tight.

We present a novel database of real-time data and forecasts from the Bank of Canada’s staff economic projections. We then provide a forecast evaluation for GDP growth and CPI inflation since 1982: we compare the staff forecasts with those from commonly used time-series models estimated with real-time data and with forecasts from other professional forecasters and provide standard bias tests.

In this issue of the Financial System Review, the Bank of Canada’s Governing Council judges that the risks to the stability of Canada’s financial system are high and have increased markedly over the past six months, owing primarily to an escalation of the sovereign debt crisis in the euro area and a weaker global economic outlook.

Erratum: The data for Chart 7 on page 8 were plotted incorrectly. See revised chart.

In this paper, we extend the state-space methodology proposed by Blagrave et al. (2015) and decompose Canadian potential output into trend labour productivity and trend labour input. As in Blagrave et al. (2015), we include output growth and inflation expectations from consensus forecasts to help refine our estimates.

After the financial crisis of 2007–09, many jurisdictions introduced new banking regulations to make banks more resilient and less likely to fail. These regulations included tighter limits for the quality and quantity of bank capital and introduced minimum standards for liquidity. But what was the impact of these changes?

The scale of safe assets suggests a structural demand for a safe wealth share beyond transaction and liquidity roles. We study how investors achieve a reference wealth level by combining self-insurance and contingent liquidation of investment. Intermediaries improve upon autarky, insuring investors with poor self-insurance and limiting liquidation.

We develop a principal-agent model of cyber-attacking with fee-paying clients who delegate security decisions to financial platforms. We derive testable implications about clients’ vulnerability to cyber attacks and about the fees charged.

In this article, author Michel Rochette of the Bank's Risk-Management Unit briefly describes the initiatives undertaken to identify, analyze, model, and manage the principal risks inherent in the transactions of the Exchange Fund Account (EFA), where the international reserves of the federal government are held. The author focuses on five types of risk: credit risk, market risk, liquidity risk, operational risk, and legal risk. In addition, the author presents the risk-management principles underlying the activities of the EFA and the governance structure of the Account.

The primary objective of this paper is to produce a framework that could be used to construct a historical data base of zero-coupon and forward yield curves estimated from Government of Canada securities' prices.