Search

Content Types

Research Topics

JEL Codes

Locations

Departments

Authors

Sources

Statuses

Published After

Published Before

2995 Results

Uncertainty and Monetary Policy Experimentation: Empirical Challenges and Insights from Academic Literature

Staff Discussion Paper 2022-9 Matteo Cacciatore, Dmitry Matveev, Rodrigo Sekkel
Central banks face considerable uncertainty when conducting monetary policy. The COVID-19 pandemic brought this issue back to the forefront of policy discussions. We draw from academic literature to review key sources of uncertainty and how they affect the conduct of monetary policy.

Corporate Balance Sheets in Developed Economies: Implications for Investment

Staff Working Paper 2007-24 Denise Côté, Christopher Graham
In this paper, the authors examine the aggregate national balance-sheets of non-financial corporations in Australia and the G7 countries with a view to assessing both their financial structure and their financial position. More importantly, the authors investigate whether the financial position of non-financial corporations (i.e., debt-to-equity ratio) is material to the economy's investment prospects and whether the importance of this channel differs depending on the structure of corporate financing i.e., bank-based or market-oriented financing structures.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, International topics JEL Code(s): E, E2, E22, E3, E32, E4, E44

On the Advantages of Disaggregated Data: Insights from Forecasting the U.S. Economy in a Data-Rich Environment

Staff Working Paper 2010-10 Nikita Perevalov, Philipp Maier
The good forecasting performance of factor models has been well documented in the literature. While many studies focus on a very limited set of variables (typically GDP and inflation), this study evaluates forecasting performance at disaggregated levels to examine the source of the improved forecasting accuracy, relative to a simple autoregressive model. We use the latest revision of over 100 U.S. time series over the period 1974-2009 (monthly and quarterly data).
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C50, C53, E, E3, E37, E4, E47

Examining Full Collateral Coverage in Canada’s Large Value Transfer System

Staff Working Paper 2015-29 Lana Embree, Varya Taylor
The Large Value Transfer System (LVTS) is Canada’s main electronic interbank funds transfer system that financial institutions use daily to transmit thousands of payments worth several billions of dollars.

Fiscal Policy in the Age of COVID-19: Does It “Get in All of the Cracks”?

The COVID-19 pandemic has caused an atypical recession in which some sectors of the economy boomed and others collapsed. This required a unique fiscal policy reaction to both support firms and stimulate activity in sectors with slack. Was fiscal policy able to get where it was needed? Mostly, yes.
November 14, 2013

Assessing Financial System Vulnerabilities: An Early Warning Approach

This article focuses on a quantitative method to identify financial system vulnerabilities, specifically, an imbalance indicator model (IIM) and its application to Canada. An IIM identifies potential vulnerabilities in a financial system by comparing current economic and financial data with data from periods leading up to past episodes of financial stress. It complements other sources of information - including market intelligence and regular monitoring of the economy - that policy-makers use to assess vulnerabilities.

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.
Go To Page