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This paper analyzes cross-border cryptocurrency flows, focusing on Bitcoin and four major stablecoins. Using data for 162 countries, we identify the key determinants, including responses to weak economic conditions and demand for remittances. A COVID-19 case study supports these findings and emphasizes the role of cryptocurrencies in global finance.

This paper develops a general equilibrium model to assess central bank digital currency (CBDC) design in a monetary system where traditional banks and “crypto banks” (i.e., banks that issue stablecoins) coexist. We compare tokenized and non-tokenized CBDC, showing that their desirability depends on the reliability of private money provision, the availability of collateral assets and the features of the crypto sector.

Pressures on the CORRA benchmark can emerge from the interaction of client borrowing behavior, dealer balance sheet constraints, even if the level of settlement balances is in a range deemed sufficient to meet the requirement of the payment system and the prudential demand of its members.

As the economy emerges from a crisis, macroeconomic policy confronts a dilemma: a protracted stimulus can foster a more inclusive labor market recovery, yet risks igniting inflation that ultimately undermines workers’ welfare through real income erosion. This tension amplifies in the presence of the ZLB and aggregate capacity constraints. We embed this insight into a quantitative model of the US economy.

This note finds evidence of a positive and nonlinear relationship between mortgage interest costs (MIC) and rental inflation: the impact of MIC on rents is small when population growth is near its historical norm, but significantly stronger during periods of rapid population growth.

Recessions feature elevated uncertainty. We develop a nonlinear imperfect-information New Keynesian model where procyclical information quality generates endogenous countercyclical uncertainty and precautionary saving. This demand channel can overturn the inflationary impact of negative supply shocks, making them deflationary, unless monetary policy stabilizes the output gap.

DeFi lending with proper governance is operationally viable, but it also faces constraints related to capital efficiency, liquidation risk, and systemic fragility within the crypto ecosystem.

Mortgage debt represents over 70% of all Canadian household financial liabilities, and the performance of these debts is critical to the health of the financial system. We explore the relationships between mortgage arrears and key macroeconomic fundamentals such as labour market variables, interest rates, house prices and inflation. We then develop a framework to assess future household mortgage stress.

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.

We study the competition between a welfare-maximizing public payment platform (e.g., CBDC or fast payment system) and a profit-maximizing private platform in a two-sided market, deriving optimal public pricing and showing how network effects, fragmentation, and policy mandates like zero fees or cost recovery shape welfare, usage, and fee incidence.