Search

Content Types

Research Topics

JEL Codes

Locations

Departments

Authors

Sources

Statuses

Published After

Published Before

798 Results

Should Bank Capital Regulation Be Risk Sensitive?

Staff Working Paper 2018-48 Toni Ahnert, James Chapman, Carolyn A. Wilkins
We present a simple model to study the risk sensitivity of capital regulation. A banker funds investment with uninsured deposits and costly capital, where capital resolves a moral hazard problem in the banker’s choice of risk.
November 19, 2015

A Survey of Consumer Expectations for Canada

The Bank of Canada recently launched a quarterly survey to measure the expectations of Canadian households: the Canadian Survey of Consumer Expectations (CSCE). The data collected provide comprehensive information about consumer expectations for and uncertainty about inflation, the labour market and household finance. This article describes the CSCE and illustrates its potential to offer rich information about Canadian consumers for researchers and policy-makers.

Efficiency and Bargaining Power in the Interbank Loan Market

Staff Working Paper 2012-29 Jason Allen, James Chapman, Federico Echenique, Matthew Shum
Using detailed loan transactions-level data we examine the efficiency of an overnight interbank lending market, and the bargaining power of its participants. Our analysis relies on the equilibrium concept of the core, which imposes a set of no-arbitrage conditions on trades in the market.
April 19, 2004

Economic and Financial Policies for Growth in the Americas: A Canadian Perspective

Remarks David Dodge Council of the Americas New York, New York
The giant emerging-market economies of China and India are truly changing the economic balance across the Pacific in a way that none of us can afford to ignore. The sheer size of these two economies is very impressive in itself: together, they account for close to 40 per cent of the world's population.

Sample Calibration of the Online CFM Survey

Technical Report No. 118 Marie-Hélène Felt, David Laferrière
The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples.
Content Type(s): Staff research, Technical reports Research Topic(s): Econometric and statistical methods JEL Code(s): C, C8, C81, C83
Go To Page