Staff working papers
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Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning
Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo. -
Unregulated Lending, Mortgage Regulations and Monetary Policy
This paper evaluates the effectiveness of macroprudential policies when regulations are uneven across mortgage lender types. We look at credit tightening that results from macroprudential regulations and examine how much of it is counteracted by credit shifting to unregulated lenders. We also study the impact of monetary policy tightening when some lenders are unregulated. -
Endogenous Liquidity and Capital Reallocation
We study economies where firms acquire capital in primary markets then retrade it in secondary markets after information on idiosyncratic productivity arrives. Our secondary markets incorporate bilateral trade with search, bargaining and liquidity frictions. -
Cash in the Pocket, Cash in the Cloud: Cash Holdings of Bitcoin Owners
We estimate the effect that owning Bitcoin has on the amount of cash held by Canadian consumers. Our results question the view that adopting certain new technologies, such as Bitcoin, leads to a decline in cash holdings. -
Foreign Exchange Interventions: The Long and the Short of It
This paper studies the effects of foreign exchange (FX) interventions in a two-region model where governments issue both short- and long-term bonds. We find that the term premium channel dominates the trade balance channel in our calibrated model. As a result, the conventional beggar-thy-neighbor effects of interventions are overturned.