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2977 Results

A Portfolio-Balance Model of Inflation and Yield Curve Determination

Staff Working Paper 2020-6 Antonio Diez de los Rios
How does the supply of nominal government debt affect the macroeconomy? To answer this question, we propose a portfolio-balance model of the yield curve in which inflation is determined through an interest rate rule.

The U.S.-Dollar Supranational Zero-Coupon Curve

Staff Discussion Paper 2012-5 Francisco Rivadeneyra
The author describes the construction of the U.S.-dollar-denominated zero-coupon curve for the supranational asset class from 1995 to 2010. He uses yield data from a crosssection of bonds issued by AAA-rated supranational entities to fit the Svensson (1995) term-structure model.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Asset pricing, Financial markets JEL Code(s): G, G1, G12, G15

A Microfounded Design of Interconnectedness-Based Macroprudential Policy

Staff Working Paper 2016-6 Jose Fique
To address the challenges posed by global systemically important banks (G-SIBs), the Basel Committee on Banking Supervision recommended an “additional loss absorbency requirement” for these institutions. Along these lines, I develop a microfounded design of capital surcharges that target the interconnectedness component of systemic risk.

Local Labor Markets in Canada and the United States

Staff Working Paper 2019-12 David Albouy, Alex Chernoff, Chandler Lutz, Casey Warman
We examine local labor markets in the United States and Canada from 1990 to 2011 using comparable household and business data. Wage levels and inequality rise with city population in both countries, albeit less in Canada.
Content Type(s): Staff research, Staff working papers Research Topic(s): Labour markets JEL Code(s): J, J2, J21, J3, J31, J6, J61, N, N3, N32, R, R1, R12

Global Factors and Inflation in Canada

Staff Analytical Note 2017-17 Dany Brouillette, Laurence Savoie-Chabot
This note investigates whether the recent weakness in inflation in Canada can be related to global factors not included in the current staff analytical framework (domestic slack, movements in commodity prices and in the exchange rate). A global common factor for inflation among selected advanced economies appears to contain marginal information for Canadian inflation beyond what is found in movements in commodity prices and the exchange rate.

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.
December 18, 2006

A Summary of the Bank of Canada Conference on Fixed-Income Markets, 3–4 May 2006

The Bank of Canada's interest in fixed-income markets spans several of its functional areas of responsibility, including monetary policy, funds management, and financial system stability and efficiency. For that reason, the 2006 conference brought together top academics and central bankers from around the world to discuss leading-edge work in the field of fixed-income research. The papers and discussions cover such topics as the efficiency of fixed-income markets, price formation, the determinants of the yield curve, and volatility modelling. This article provides a short summary of each conference paper and the ensuing discussion.

The New Benchmark for Forecasts of the Real Price of Crude Oil

How can we assess the quality of a forecast? We propose a new benchmark to evaluate forecasts of temporally aggregated series and show that the real price of oil is more difficult to predict than we thought.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C1, C5, C53, Q, Q4, Q47

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.
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