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The COVID-19 pandemic placed unprecedented strain on the global financial system. We describe how the Bank of Canada responded to the rapidly deteriorating liquidity in core Canadian fixed-income markets.

We analyze the financial statements and stock prices of publicly traded firms incorporated in Canada that report greenhouse gas emissions. We find that these firms primarily use equity financing. We also find that equity investors increasingly account for firms’ emissions when making investment decisions but the impact appears small. This suggests that assets exposed to climate change remain at risk of a sudden repricing.

This paper reviews the range of extraordinary programs launched by the Bank of Canada in response to the pandemic-related financial market disruption. It provides some recommendations for future interventions to ensure the programs are appropriately structured for the financial and economic stresses they are intended to address.

We examine the role of debt in amplifying and propagating recessions. Firms’ debt adjustment makes recessions deeper but makes expansions gradual. In particular, when the aggregate business leverage is ten percentage points above average, the half-life of the recovery doubles.

We use detailed consumer credit data to investigate the impact of the 2016 Fort McMurray wildfire, the costliest wildfire disaster in Canadian history, on consumers’ financial stress. We focus on the arrears of insured mortgages because of their important implications for financial institutions and insurers’ business risk and relevant management practices.

We develop a dynamic model to capture key features of decentralized finance lending. We identify a price-liquidity feedback: the market outcome in any given period depends on agents' expectations about lending activities in future periods, with higher future price expectations leading to more lending and higher prices in that period.

Funding structures affected the amount of financial stress different countries and sectors experienced during the spread of COVID-19 in early 2020. Policy responses targeting specific vulnerabilities were more effective at mitigating this stress than those supporting banks or the economy more broadly.

The Risk Amplification Macro Model (RAMM) is a new nonlinear two-country dynamic model that captures rare but severe adverse shocks. The RAMM can be used to assess the financial stability implications of both domestic and foreign-originated risk scenarios.

Cryptoassets that reference a national currency (commonly known as stablecoins) aim to peg their value to the reference currency and typically use a reserve of traditional financial assets to maintain the peg. The market value of these fiat-referenced cryptoassets has grown more than thirtyfold between early 2020 and mid-2022. We explore some of their potential benefits and key risks.

What risks could stablecoins pose to the financial system? We argue that the stabilization mechanisms of stablecoins give rise to the risk of confidence runs, which can propagate to broader cryptoasset markets and the traditional financial sector. We also argue that stablecoins can contribute to financial stability risks by facilitating the buildup of leverage and liquidity mismatch in decentralized finance. Such risks cannot be addressed by ensuring the price stability of stablecoins alone. Finally, we explore the potential implications of stablecoins for the current system of bank-intermediated credit and for monetary policy.