Staff research
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Total factor productivity growth projection for Canada: A sectoral approach
We propose a tool that decomposes TFP growth into sectoral contributions. The analysis incorporates three structural factors—digitalization, aging and climate change policies—and measures their contributions. Overall, we expect that aggregate TFP growth will slow down in the 2020s below both its historical average and the average from the 2010s. -
Decomposing Systemic Risk: The Roles of Contagion and Common Exposures
We examine systemic risks within the Canadian banking sector, decomposing them into three contribution channels: contagion, common exposures, and idiosyncratic risk. Through a structural model, we dissect how interbank relationships and market conditions contribute to systemic risk, providing new insights for financial stability. -
Survey of Indigenous Firms: A Snapshot of Wages, Prices and Financing in the Indigenous Business Sector in Canada
What sources of financing do Indigenous-owned businesses in Canada use, and what are their expectations about prices, wages and inflation? We find Indigenous-owned firms are significantly less reliant on financial institutions as sources of financing compared with non-Indigenous firms. We also find Indigenous-owned firms have higher inflation expectations and weaker wage-growth expectations. -
Financial Intermediation and Fire Sales with Liquidity Risk Pricing
We provide a theory of fire sales in which potential buyers are subject to liquidity shocks and frictions that limit their ability to resell assets. Viewed through the lens of the model, the liquidity requirements proposed by the U. S. Securities and Exchange Commission for these intermediaries could hurt the economy. -
Digital Payments in Firm Networks: Theory of Adoption and Quantum Algorithm
We build a network formation game of firms with trade flows to study the adoption and usage of a new digital currency as an alternative to correspondent banking. -
The Macroeconomic Implications of Coholding
Coholder households simultaneously carry high-cost credit card debt and low-yield cash. We study the implications of this behavior for fiscal and monetary policy, finding that coholder households have smaller consumption responses in the short run but larger responses in the long run. -
Finding a Needle in a Haystack: A Machine Learning Framework for Anomaly Detection in Payment Systems
Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems. -
Endogenous Credibility and Wage-Price Spirals
We quantitively assess the risks of a wage-price spiral occurring in Canada over history. We find the risk of a wage-price spiral increases when the inflation expectations become unanchored and the credibility of central banks declines. -
Parallel Tempering for DSGE Estimation
I develop a population-based Markov chain Monte Carlo algorithm known as parallel tempering to estimate dynamic stochastic general equilibrium models. Parallel tempering approximates the posterior distribution of interest using a family of Markov chains with tempered posteriors.