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3009 Results

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 […]

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

Option Valuation with Observable Volatility and Jump Dynamics

Staff Working Paper 2015-39 Peter Christoffersen, Bruno Feunou, Yoontae Jeon
Under very general conditions, the total quadratic variation of a jump-diffusion process can be decomposed into diffusive volatility and squared jump variation. We use this result to develop a new option valuation model in which the underlying asset price exhibits volatility and jump intensity dynamics.
Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing JEL Code(s): G, G1, G12
March 2, 2017

Thermometer Rising—Climate Change and Canada’s Economic Future

Remarks Timothy Lane Finance and Sustainability Initiative Montréal, Quebec
Deputy Governor Tim Lane discusses the implications of climate change—and actions to address it—for Canada’s economy and financial system.

What To Do about Bilateral Credit Limits in the LVTS When a Closure Is Anticipated: Risk versus Liquidity Sharing among LVTS Participants

Staff Discussion Paper 2008-13 Sean O'Connor, Greg Caldwell
The authors examine the effect of a trade-off between shared credit risk and liquidity efficiency, among participants in Tranche 2 of the Large Value Transfer System (LVTS T2), on their decisions to leave open, or close, their bilateral credit limits (BCLs) to a participant at risk of imminent closure.

Credit Card Minimum Payment Restrictions

Staff Working Paper 2024-26 Jason Allen, Michael Boutros, Benedict Guttman-Kenney
We study a government policy that restricts repayment choices with the aim of reducing credit card debt and estimate its effects by applying a difference-in-differences methodology to comprehensive credit-reporting data about Canadian consumers. We find the policy has trade-offs: reducing revolving debt comes at a cost of reducing credit access, and potentially increasing delinquency.

International House Price Cycles, Monetary Policy and Risk Premiums

Staff Working Paper 2014-54 Gregory Bauer
Using a panel logit framework, the paper provides an estimate of the likelihood of a house price correction in 18 OECD countries. The analysis shows that a simple measure of the degree of house price overvaluation contains a lot of information about subsequent price reversals.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Housing JEL Code(s): C, C2, E, E4, E43, R, R2, R21
November 16, 2017

Factors Behind the 2014 Oil Price Decline

Oil prices have declined sharply over the past three years. While both supply and demand factors played a role in the large oil price decline of 2014, global supply growth seems to have been the predominant force. The most important drivers were likely the surprising growth of US shale oil production, the output decisions of the Organization of the Petro-leum Exporting Countries and the weaker-than-expected global growth that followed the 2009 global financial crisis.

The Term Structures of Loss and Gain Uncertainty

We investigate the uncertainty around stock returns at different investment horizons. Since a return is either a loss or a gain, we categorize return uncertainty into two components—loss uncertainty and gain uncertainty. We then use these components to evaluate investment.
Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): G, G1, G12
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