C22 - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
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Oil-Price Shocks and Retail Energy Prices in Canada
The effects of global energy-price shocks on retail energy prices in Canada are examined. More specifically, the author looks at the response of the consumer price indexes for gasoline, heating oil, natural gas, and electricity in Canada to movements in world crude oil prices. -
Modelling Mortgage Rate Changes with a Smooth Transition Error-Correction Model
This paper uses a smooth transition error-correction model (STECM) to model the one-year and five-year mortgage rate changes. The model allows for a non-linear adjustment process of mortgage rates towards their long-run equilibrium. -
Exact Non-Parametric Tests for a Random Walk with Unknown Drift under Conditional Heteroscedasticity
This paper proposes a class of linear signed rank statistics to test for a random walk with unknown drift in the presence of arbitrary forms of conditional heteroscedasticity. -
Long-Term Determinants of the Personal Savings Rate: Literature Review and Some Empirical Results for Canada
This paper examines the structural determinants of the personal savings rate in Canada over the last 30 years, using cointegration techniques. The main finding is that the real interest rate, expected inflation, the ratio of the all-government fiscal balances to nominal GDP, and the ratio of household net worth to personal disposable income are the most […] -
Pricing Interest Rate Derivatives in a Non-Parametric Two-Factor Term-Structure Model
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 […] -
Reconsidering Cointegration in International Finance: Three Case Studies of Size Distortion in Finite Samples
This paper reconsiders several recently published but controversial results about the behaviour of exchange rates. In particular, it explores finite-sample problems in the application of cointegration tests and shows how these may have affected the conclusions of recent research. -
Avoiding the Pitfalls: Can Regime-Switching Tests Detect Bubbles?
Work on testing for bubbles has caused much debate, much of which has focussed on methodology. Monte Carlo simulations reported in Evans (1991) showed that standard tests for unit roots and cointegration frequently reject the presence of bubbles even when such bubbles are present by construction. Evans referred to this problem as the pitfall of testing for bubbles.
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