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485 Results

How Long Does It Take You to Pay? A Duration Study of Canadian Retail Transaction Payment Times

Staff working paper 2018-46 Geneviève Vallée
Using an exclusive data set of payment times for retail transactions made in Canada, I show that cash is the most time-efficient method of payment (MOP) when compared with payments by debit and credit cards. I model payment efficiency using Cox proportional hazard models, accounting for consumer choice of MOP.

Bitcoin Adoption and Beliefs in Canada

Using an economic model as well as survey data from the Bank of Canada, we study what factors influence the adoption of Bitcoin in Canada.

Macro News in Market Moves: Classifying News through Asset Co-movements

Staff analytical paper 2026-7 Bruno Feunou, Jean-Sébastien Fontaine, Rishi Vala
This paper introduces CLONE, a method that decomposes asset price movements into aggregate demand, productivity, inflation, and monetary policy news, using stocks, bonds, and inflation swaps. CLONE simplicity and forward-looking focus helps guide policymakers in determining the economic drivers behind asset price movements.

Time-Varying Crash Risk: The Role of Stock Market Liquidity

We estimate a continuous-time model with stochastic volatility and dynamic crash probability for the S&P 500 index and find that market illiquidity dominates other factors in explaining the stock market crash risk. While the crash probability is time-varying, its dynamic depends only weakly on return variance once we include market illiquidity as an economic variable in the model.

Monetary Policy Independence and the Strength of the Global Financial Cycle

Staff working paper 2020-25 Christian Friedrich, Pierre Guérin, Danilo Leiva-Leon
We propose a new strength measure of the global financial cycle by estimating a regime-switching factor model on cross-border equity flows for 61 countries. We then assess how the strength of the global financial cycle affects monetary policy independence, which is defined as the response of central banks' policy interest rates to exogenous changes in inflation.

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.

Stability and Efficiency in Decentralized Two‐Sided Markets with Weak Preferences

Staff working paper 2017-4 Radoslav Raykov
Many decentralized markets are able to attain a stable outcome despite the absence of a central authority (Roth and Vande Vate, 1990). A stable matching, however, need not be efficient if preferences are weak. This raises the question whether a decentralized market with weak preferences can attain Pareto efficiency in the absence of a central matchmaker.

The Government of Canada Debt Securities Data Set

We present the daily time series of the outstanding amounts of all Government of Canada marketable debt securities from July 2001 to June 2017.

Testing Collusion and Cooperation in Binary Choice Games

Staff working paper 2023-58 Erhao Xie
This paper studies the testable implication of players’ collusive or cooperative behaviour in a binary choice game with complete information. I illustrate the implementation of this test by revisiting the entry game between Walmart and Kmart.

Optimal Estimation of Multi-Country Gaussian Dynamic Term Structure Models Using Linear Regressions

Staff working paper 2017-33 Antonio Diez de los Rios
This paper proposes a novel asymptotic least-squares estimator of multi-country Gaussian dynamic term structure models that is easy to compute and asymptotically efficient, even when the number of countries is relatively large—a situation in which other recently proposed approaches lose their tractability.
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