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We develop a production-network model to capture how decentralized finance (DeFi) has evolved across different sectors of financial services. The model allows us to measure the value added by different DeFi sectors and to study how the connections across the sectors influence token prices.

The COVID-19 pandemic highlighted the need for policy-makers to closely monitor disruptions to the retail and food business sectors. We present a new method to measure business opening and closing rates using real-time data from Google Places, the dataset behind the Google Maps service.

What are the effects of financial market imperfections on unemployment and vacancies? Since standard DSGE models do not typically model unemployment, they abstract from this issue.

This paper studies the cost of limited commitment when a central bank has the discretion to adjust policy whenever the costs of honoring its past commitments become high. Specifically, we consider a central bank that seeks to implement optimal policy in a New Keynesian model by committing to a price-level target path.

This paper examines the macroeconomic implications of rising government debt in Canada and the short-run costs and long-run benefits of stemming the rise. The discussion begins with an evaluation of the long-run consequences of increasing government indebtedness, first based on the simple arithmetic of the government's long-run budget constraint, and then based on simulations of […]

In this note, we find that market participants react to an unexpected change in the tone of Canadian monetary policy statements. When the market perceives that the Bank of Canada plans to tighten (or alternatively, loosen) the monetary policy earlier than previously expected, the Canadian dollar appreciates (or depreciates) and long-term Government of Canada bond yields increase (or decrease). The tone of a statement is particularly relevant to the market when the policy rate has been unchanged for some time.

The industry standard for seasonally adjusting data, X-13ARIMA-SEATS, is not suitable for high-frequency data. We summarize and assess several of the most popular seasonal adjustment methods for weekly data given the increased availability and promise of non-traditional data at higher frequencies.

authors examine the issue of lag-length selection in the context of a structural vector autoregression (VAR) and a vector error-correction model with long-run restrictions. First, they show that imposing long-run restrictions implies, in general, a moving-average (MA) component in the stationary multivariate representation. Then they examine the sensitivity of estimates of the permanent and transitory […]

How do global oil price shocks spread through Canada’s economy? With Canada’s regionally diverse economy in mind, we explore the implications of oil price shocks for Canadian housing markets and regional economies. We show that the belief that oil price shocks only matter in oil-rich regions is false.

We examine the Canadian money market fund (MMF) sector and find that it has grown rapidly, holding a large share of treasury bills and commercial paper. Unlike in some other jurisdictions where investor outflows likely amplified stresses, Canadian MMFs experienced inflows during the March 2020 market turmoil.