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3019 Results

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

The Canadian Debt-Strategy Model: An Overview of the Principal Elements

Staff Discussion Paper 2011-3 David Bolder, Simon Deeley
The Canadian Debt Strategy Model helps debt managers determine their optimal financing strategy. The model’s code and documentation are available to the public.

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 […]

Volatility Forecasting when the Noise Variance Is Time-Varying

Staff Working Paper 2013-48 Selma Chaker, Nour Meddahi
This paper explores the volatility forecasting implications of a model in which the friction in high-frequency prices is related to the true underlying volatility. The contribution of this paper is to propose a framework under which the realized variance may improve volatility forecasting if the noise variance is related to the true return volatility.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C14, C5, C51, C58

Selection of the Truncation Lag in Structural VARs (or VECMs) with Long-Run Restrictions

Staff Working Paper 1995-9 Alain DeSerres, Alain Guay
authors examine the issue of lag-length selection in the context of a structural vector autoregression (VAR) and a vector error-correction model with long-run restrictions. First, they show that imposing long-run restrictions implies, in general, a moving-average (MA) component in the stationary multivariate representation. Then they examine the sensitivity of estimates of the permanent and transitory […]
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