Search

Content Types

Research Topics

JEL Codes

Locations

Departments

Authors

Sources

Statuses

Published After

Published Before

3035 Results

Risk Premium, Variance Premium and the Maturity Structure of Uncertainty

Expected returns vary when investors face time-varying investment opportunities. Long-run risk models (Bansal and Yaron 2004) and no-arbitrage affine models (Duffie, Pan, and Singleton 2000) emphasize sources of risk that are not observable to the econometrician.
Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Financial services JEL Code(s): G, G1, G12, G13

Monetary Policy, Uncertainty and the Presumption of Linearity

Technical Report No. 63 Douglas Laxton, David Rose, Robert Tetlow
This report shows that extreme conditions and volatility in markets are much more likely to result from systematic policy errors in gauging and responding to inflationary pressures in an economy than from unfortunate random shocks. We describe a simple model that incorporates the key features of the policy control process. We use two versions of […]

COVID-19 Crisis: Lessons Learned for Future Policy Research

One year later, we review the events that took place in Canadian fixed-income markets at the beginning of the COVID-19 crisis and propose potential policy research questions for future work.

A Comparison of Twelve Macroeconomic Models of the Canadian Economy

In this report, the authors examine and compare twelve private and public sector models of the Canadian economy with respect to their paradigm, structure, and dynamic properties. These open-economy models can be grouped into two economic paradigms.
Content Type(s): Staff research, Technical reports Research Topic(s): Economic models, Monetary policy and uncertainty JEL Code(s): C, C5, E, E5, E52, E58

Testing Linear Factor Pricing Models with Large Cross-Sections: A Distribution-Free Approach

Staff Working Paper 2010-36 Sermin Gungor, Richard Luger
We develop a finite-sample procedure to test the beta-pricing representation of linear factor pricing models that is applicable even if the number of test assets is greater than the length of the time series. Our distribution-free framework leaves open the possibility of unknown forms of non-normalities, heteroskedasticity, time-varying correlations, and even outliers in the asset returns.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C12, C14, C3, C33, G, G1, G11, G12
March 9, 2010

Monetary Policy Rules in an Uncertain Environment

This article examines recent research on the influence of various forms of economic uncertainty on the performance of different classes of monetary policy rules: from simple rules to fully optimal monetary policy under commitment. The authors explain why uncertainty matters in the design of monetary policy rules and provide quantitative examples from the recent literature. They also present results for several policy rules in ToTEM, the Bank of Canada's main model for projection and analysis, including rules that respond to price level, rather than to inflation.
May 25, 2017

Upgrading the Payments Grid: The Payoffs Are Greater Than You Think

Remarks Sylvain Leduc Payments Canada Toronto, Ontario
Deputy Governor Sylvain Leduc discusses how upgrading Canada’s core payment systems will contribute to financial stability and help the Bank keep inflation on target.

Optimal Monetary Policy and Price Stability Over the Long-Run

Staff Working Paper 2007-26 Oleksiy Kryvtsov, Malik Shukayev, Alexander Ueberfeldt
This paper examines the role of monetary policy in an environment with aggregate risk and incomplete markets. In a two-period overlapping-generations model with aggregate uncertainty and nominal bonds, optimal monetary policy attains the ex-ante Pareto optimal allocation.
Content Type(s): Staff research, Staff working papers Research Topic(s): Monetary policy framework JEL Code(s): E, E5

Pricing Interest Rate Derivatives in a Non-Parametric Two-Factor Term-Structure Model

Staff Working Paper 1999-19 John Knight, Fuchun Li, Mingwei Yuan
Diffusion functions in term-structure models are measures of uncertainty about future price movements and are directly related to the risk associated with holding financial securities. Correct specification of diffusion functions is crucial in pricing options and other derivative securities. In contrast to the standard parametric two-factor models, we propose a non-parametric two-factor term-structure model that […]
Go To Page