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This article examines the incentives for banks to hold various assets on their balance sheets for use as collateral when the opportunity cost of doing so can be high. Focusing on the five-year period (2002-07) that preceded the financial crisis, it examines the choices made by financial institutions among the assets that are pledged as collateral in Canada's Large Value Transfer System. This serves as a baseline for collateral-management practices during relatively normal times. The results of this study are important for policy-makers, especially the Bank of Canada, which is concerned both about the efficient functioning of fixed-income markets and about the credit risk it ultimately bears in insuring LVTS settlement. The results suggest that relative market liquidity and market-making capacity are important factors in the choice of securities pledged as collateral in the LVTS.

This article examines four indicators of balance-sheet risks—leverage, capital, asset liquidity and funding—among different types of financial institutions in Canada over the past three decades. It also discusses relevant developments in the banking sector that could have contributed to the observed dynamics. The authors find that the various risk indicators decreased during the period for most of the non-Big Six financial institutions, but remained relatively unchanged for the Big Six banks. In addition, the balance-sheet risk indicators became more heterogeneous across financial institutions. The observed overall decline and increased heterogeneity follow certain regulatory changes, such as the introduction of the liquidity guidelines on funding in 1995 and the implementation of bank-specific leverage requirements in 2000. Given that these regulations required more balance-sheet risk management, they have likely contributed to the increased resilience of the banking sector.

We study whether the credit derivatives of firms reflect the risk from climate transition. We find that climate transition risk has asymmetric and significant economic impacts on the credit risk of more vulnerable firms, and negligible effects on other firms.

This is the first in a series of semi-annual reports by the Bank of Canada on Canadian monetary policy.

Dynamic general-equilibrium models (DGEMs) are being increasingly used in macroeconomic research. In this article, the author describes the main features of these models and outlines their contribution to economic research performed at the Bank of Canada. He notes that the basic principle of DGEMs is that the modelling of economic activity, even on a scale as large as the economy of a country, should start with a series of microeconomic problems (at the scale of individuals), which, once resolved, are aggregated to represent the macroeconomic reality described by the model.

This paper introduces and estimates a structural model of the Canadian primary market for government debt. We assess the role of dealer exit in this market as a key reason for increased, yet irregular, customer entry and quantify the benefits of greater customer competition against the costs of higher market volatility.

We document an increase in deviations from short-term covered interest rate parity (CIP) in the first half of 2015. Since the Swiss National Bank’s (SNB) decision to abandon its minimum exchange rate policy, both the magnitude and volatility of deviations from CIP have increased across several currency pairs. The effect is particularly pronounced for pairs involving the Swiss franc.

We study the impact government expenditure has on inflation. We find that changes in government expenditure account for a substantial portion of inflation variations. We also find that inflation and inflation expectations respond negatively to fiscal spending shocks, reaffirming the supply-side channel through which inflation responds to fiscal expansions.

The three articles in this issue provide an overview of the monetary policy decision-making process at the Bank of Canada, a discussion of Bank research on the assessment of vulnerabilities in the financial system and a description of recent fragmentation in Canadian equity markets.

This paper proposes a novel asymptotic least-squares estimator of multi-country Gaussian dynamic term structure models that is easy to compute and asymptotically efficient, even when the number of countries is relatively large—a situation in which other recently proposed approaches lose their tractability.