Search

Content Types

Subjects

Authors

Research Themes

JEL Codes

Sources

Published After

Published Before

85 Results

Monetary Policy and Redistribution in Open Economies

Staff working paper 2022-6 Xing Guo, Pablo Ottonello, Diego Perez
We study how different types of monetary policy shape the distributional effects of external economic shocks on households’ consumption in a small open economy. Our results present a trade-off between maintaining overall stabilization and controlling consumption inequality.

Energy Efficiency and Fluctuations in CO2 Emissions

Staff working paper 2021-47 Soojin Jo, Lilia Karnizova
Carbon dioxide emissions have been commonly modelled as rising and falling with total output. Yet many factors, such as energy-efficiency improvements and shifts to cleaner energy, can break this relationship. We evaluate these factors using US data and find that changes in energy efficiency of consumption goods explain a significant proportion of emissions fluctuations. This finding also implies that models that omit energy efficiency likely overestimate the trade-off between environmental protection and economic performance.

Financial Development Beyond the Formal Financial Market

Staff working paper 2018-49 Lin Shao
This paper studies the effects of financial development, taking into account both formal and informal financing. Using cross-country firm-level data, we document that informal financing is utilized more by rich countries than poor countries.

Household Risk Assessment Model

Technical report No. 106 Brian Peterson, Tom Roberts
Household debt can be an important source of vulnerability to the financial system. This technical report describes the Household Risk Assessment Model (HRAM) that has been developed at the Bank of Canada to stress test household balance sheets at the individual level.

Generalized Autoregressive Gamma Processes

Staff working paper 2023-40 Bruno Feunou
We introduce generalized autoregressive gamma (GARG) processes, a class of autoregressive and moving-average processes in which each conditional moment dynamic is driven by a different and identifiable moving average of the variable of interest. We show that using GARG processes reduces pricing errors by substantially more than using existing autoregressive gamma processes does.

Anonymous Credentials: Secret-Free and Quantum-Safe

Staff working paper 2023-50 Raza Ali Kazmi, Cyrus Minwalla
An anonymous credential mechanism is a set of protocols that allows users to obtain credentials from an organization and demonstrate ownership of these credentials without compromising users’ privacy. In this work, we construct the first secret-free and quantum-safe credential mechanism.

Time Use and Macroeconomic Uncertainty

Staff working paper 2023-29 Matteo Cacciatore, Stefano Gnocchi, Daniela Hauser
We estimate the effects of economic uncertainty on time use and discuss its macroeconomic implications. We develop a model to demonstrate that substitution between market and non-market work provides an additional insurance margin to households, weakening precautionary savings and labour supply and lowering aggregate demand, ultimately amplifying the contractionary effects of uncertainty.

Artificial Intelligence and Financial Tail Risks

Staff working paper 2026-40 Javier Ojea Ferreiro, Andrea Ugolini, Juan C. Reboredo
This paper examines how market-perceived AI exposure is associated with extreme financial-sector gains and losses across five markets, using Expected Shortfall and skewness decompositions to distinguish AI-sector, macroeconomic, systemic and financial scenarios.

The Effects of Government Licensing on E-commerce: Evidence from Alibaba

Staff working paper 2021-32 Ginger Zhe Jin, Zhentong Lu, Xiaolu Zhou, Chunxiao Li
How does government licensing affect selling on online platforms? We examine the impact of China’s 2015 Food Safety Law on sellers and buyers on Alibaba, the largest e-commerce platform in that country.

Cyber Risk and Security Investment

Staff working paper 2022-32 Toni Ahnert, Michael Brolley, David Cimon, Ryan Riordan
We develop a principal-agent model of cyber-attacking with fee-paying clients who delegate security decisions to financial platforms. We derive testable implications about clients’ vulnerability to cyber attacks and about the fees charged.
Go To Page