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474 Results

Tail Risk in a Retail Payment System: An Extreme-Value Approach

Staff Discussion Paper 2018-2 Héctor Pérez Saiz, Blair Williams, Gabriel Xerri
The increasing importance of risk management in payment systems has led to the development of an array of sophisticated tools designed to mitigate tail risk in these systems. In this paper, we use extreme value theory methods to quantify the level of tail risk in the Canadian retail payment system (ACSS) for the period from 2002 to 2015.

More Money for Some: The Redistributive Effects of Open Market Operations

Staff Working Paper 2021-46 Christian Bustamante
I use a search-theoretic model of money to study how open market operations affect the conduct of monetary policy and what this means for households along the wealth distribution. In the model, households vary in the size and composition of their portfolios, which in turn implies that they may be unevenly affected by open market operations.

Privacy as a Public Good: A Case for Electronic Cash

Staff Working Paper 2019-24 Rodney J. Garratt, Maarten van Oordt
Cash gives users a high level of privacy when making payments, but the use of cash to make payments is declining. People increasingly use debit cards, credit cards or other methods to pay.

Portfolio Considerations in Differentiated Product Purchases: An Application to the Japanese Automobile Market

Staff Working Paper 2011-27 Naoki Wakamori
Consumers often purchase more than one differentiated product, assembling a portfolio, which might potentially affect substitution patterns of demand and, as a consequence, oligopolistic firms’ pricing strategies.
Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Market structure and pricing JEL Code(s): D, D4, L, L5, Q, Q5

Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19

Staff Working Paper 2021-2 James Chapman, Ajit Desai
We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.

Monetary Policy Under Uncertainty: Practice Versus Theory

Staff Discussion Paper 2017-13 Rhys R. Mendes, Stephen Murchison, Carolyn A. Wilkins
For central banks, conducting policy in an environment of uncertainty is a daily fact of life. This uncertainty can take many forms, ranging from incomplete knowledge of the correct economic model and data to future economic and geopolitical events whose precise magnitudes and effects cannot be known with certainty.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Monetary policy, Monetary policy and uncertainty JEL Code(s): E, E5, E52, E58, E6, E61, E65
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