Search

Content Types

Subjects

Authors

Research Themes

JEL Codes

Sources

Published After

Published Before

2166 Results

Patterns and Determinants of Global Cryptocurrency Flows

Staff working paper 2026-15 Christian Friedrich, Laura Zhao
This paper analyzes cross-border cryptocurrency flows, focusing on Bitcoin and four major stablecoins. Using data for 162 countries, we identify the key determinants, including responses to weak economic conditions and demand for remittances. A COVID-19 case study supports these findings and emphasizes the role of cryptocurrencies in global finance.
Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, F, F3, F32, F38, F5, F51, G, G1, G15, G2, G23 Research Theme(s): Money and payments, Digital assets and fintech

Understanding the Cross‐Country Effects of US Technology Shocks

Staff working paper 2017-23 Thuy Lan Nguyen, Wataru Miyamoto
Business cycles are substantially correlated across countries. Yet most existing models are not able to generate substantial transmission through international trade. We show that the nature of such transmission depends fundamentally on the features determining the responsiveness of labor supply and labor demand to international relative prices.

The Share of Systematic Variations in the Canadian Dollar—Part II

Staff analytical note 2017-1 Jean-Sébastien Fontaine, Guillaume Nolin
This analytical note examines how much of the systematic variation in the Canadian dollar is attributable to its sensitivity to commodity prices. We introduce a new “oil” portfolio that captures systematic variations when the exchange rates of commodity exporters and commodity importers move in opposite directions.

Monetary Payoff and Utility Function in Adaptive Learning Models

Staff working paper 2019-50 Erhao Xie
When players repeatedly face an identical or similar game (e.g., coordination game, technology adoption game, or product choice game), they may learn through experience to perform better in the future. This learning behaviour has important economic implications.

Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis

Staff working paper 2023-45 Tony Chernis
I show how to combine large numbers of forecasts using several approaches within the framework of a Bayesian predictive synthesis. I find techniques that choose and combine a handful of forecasts, known as global-local shrinkage priors, perform best.

Methodology for Assigning Credit Ratings to Sovereigns

Staff discussion paper 2017-7 Philippe Muller, Jérôme Bourque
The investment of foreign exchange reserves or other asset portfolios requires an assessment of the credit quality of investment counterparties. Traditionally, foreign exchange reserve and asset managers have relied on credit rating agencies (CRAs) as the main source for credit assessments.

Global Commodity Markets and Rebalancing in China: The Case of Copper

Given that China accounts for about half of global copper consumption, it is reasonable to expect that any significant change in Chinese copper consumption will have an impact on the global market.

Assessing Global Potential Output Growth: October 2020

This paper presents updated estimates of potential output growth for the global economy through 2022. Global potential output growth is expected to decline sharply in the aftermath of the COVID-19 pandemic and recover partially by the end of the projection horizon of the October 2020 Monetary Policy Report.

Ambiguity, Nominal Bond Yields and Real Bond Yields

Staff working paper 2018-24 Guihai Zhao
Equilibrium bond-pricing models rely on inflation being bad news for future growth to generate upward-sloping nominal yield curves. We develop a model that can generate upward-sloping nominal and real yield curves by instead using ambiguity about inflation and growth.

Crude Oil Prices and Fixed-Asset Cash Spending in the Oil and Gas Industry: Findings from VAR Models

Staff analytical note 2016-8 Farrukh Suvankulov
This note investigates the relationship between crude oil prices and investment in the energy sector. We employ a set of vector autoregression (VAR) models (unconstrained VAR, vector error-correction and Bayesian VAR) to formalize the relationship between the West Texas Intermediate (WTI) benchmark and fixed-asset cash spending in the oil and gas extraction and support activities sector of the Canadian economy.
Go To Page