August 11, 1996
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August 11, 1996
Bank of Canada Review - Summer 1996
Cover page
Home savings bank: The Northern Bank
The savings bank shown here was issued to account holder 1859 by the Victoria, B.C. branch. It is part of the National Currency Collection, Bank of Canada.
Photography by James Zagon.
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August 10, 1996
Inflation expectations and Real Return Bonds
The existence of a market for Real Return Bonds in Canada provides a direct tool with which to measure market expectations of inflation by comparing the yields on these bonds with those on conventional Government of Canada long-term bonds. However, there are other factors besides inflation expectations that may affect the yield differential. After reviewing these factors, the authors note that they can lead to a potentially large bias in the level of inflation expectations. The changes in the differential over time may, nonetheless, be a good indicator of movements in long-run inflation expectations. Based on this measure, expectations of long-run inflation have declined since late 1994. -
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. -
Unit-Root Tests and Excess Returns
Several recent papers have presented evidence from foreign exchange and other markets suggesting that the log of excess returns can be characterized as first-order integrated processes (I(1)). This contrasts sharply with the "conventional" wisdom that log prices are integrated of order one I(1) and that log returns should therefore be integrated of order zero I(0), and even more sharply with the view that past returns have no ability to predict future returns (weak market efficiency). -
Does Inflation Uncertainty Vary with the Level of Inflation?
The purpose of this study is to test the hypothesis that inflation uncertainty increases at higher levels of inflation. Our analysis is based on the generalized autoregressive conditional heteroscedasticity (GARCH) class of models, which allow the conditional variance of the error term to be time-varying. Since this variance is a proxy for inflation uncertainty, a positive relationship between the conditional variance and inflation would be interpreted as evidence that inflation uncertainty increases with the level of inflation.