Staff working papers

Staff working papers provide a forum for staff to publish work-in-progress research intended for journal publication.

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1330 result(s)

The Role of Beliefs in Entering and Exiting the Bitcoin Market

We develop a model that links investors’ decisions to enter or exit the Bitcoin market with their beliefs about the survival of Bitcoin. Empirical testing using Canadian data reveals that beliefs strongly influence both entries and exits, and this impact varies with time and ownership status.

Saving after Retirement and Preferences for Residual Wealth

Staff Working Paper 2024-21 Giulio Fella, Martin B. Holm, Thomas Michael Pugh
We estimate a model of households in Norway with bequest motives, health-dependent utility, and uncertain longevity and health. Our estimates imply strong bequest motives for households both with and without offspring. We interpret this as suggestive evidence that utility from residual wealth represents forces beyond an altruistic bequest motive.

Markups and Inflation in Oligopolistic Markets: Evidence from Wholesale Price Data

Staff Working Paper 2024-20 Patrick Alexander, Lu Han, Oleksiy Kryvtsov, Ben Tomlin
We study how the interaction of market power and nominal price rigidity influences inflation dynamics. We find that pass-through declines with price stickiness when markets are concentrated, which implies a lower slope of the New Keynesian Phillips curve.

Decomposing Systemic Risk: The Roles of Contagion and Common Exposures

Staff Working Paper 2024-19 Grzegorz Halaj, Ruben Hipp
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.

Fire Sales and Liquidity Requirements

Staff Working Paper 2024-18 Yuteng Cheng, Roberto Robatto
We study liquidity requirements in a framework with fire sales. The framework nests three common pricing mechanisms and produces the same observables. Absent risk-sharing considerations, the equilibrium is efficient with cash-in-the-market pricing; a liquidity requirement is optimal with second-best-use pricing; and a liquidity ceiling (i.e., a cap on liquid assets) is optimal with adverse selection.

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

Staff Working Paper 2024-16 Michael Boutros, Andrej Mijakovic
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

Staff Working Paper 2024-15 Ajit Desai, Anneke Kosse, Jacob Sharples
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

Staff Working Paper 2024-14 Olena Kostyshyna, Tolga Özden, Yang Zhang
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

Staff Working Paper 2024-13 Joshua Brault
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.
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