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433 Results

On the Evolution of the United Kingdom Price Distributions

We propose a functional principal components method that accounts for stratified random sample weighting and time dependence in the observations to understand the evolution of distributions of monthly micro-level consumer prices for the United Kingdom (UK).

Noisy Monetary Policy

Staff working paper 2018-23 Tatjana Dahlhaus, Luca Gambetti
We introduce limited information in monetary policy. Agents receive signals from the central bank revealing new information (“news") about the future evolution of the policy rate before changes in the rate actually take place. However, the signal is disturbed by noise.

Applying the Wage-Common to Canadian Provinces

Staff analytical note 2018-16 Jonathan Lachaine
As at the national level, available sources of hourly wage data for Canadian provinces sometimes send conflicting signals about wage growth. This note has two objectives. First, we develop a common measure of provincial wages (the provincial wage-common) to better capture the underlying wage pressures, reflecting the overall trend across all data sources.

Uncovered Return Parity: Equity Returns and Currency Returns

Staff working paper 2018-22 Edouard Djeutem, Geoffrey R. Dunbar
We propose an uncovered expected returns parity (URP) condition for the bilateral spot exchange rate. URP implies that unilateral exchange rate equations are misspecified and that equity returns also affect exchange rates. Fama regressions provide evidence that URP is statistically preferred to uncovered interest rate parity (UIP) for nominal bilateral exchange rates between the US dollar and six countries (Australia, Canada, Japan, Norway, Switzerland and the UK) at the monthly frequency.

Analysis of Asymmetric GARCH Volatility Models with Applications to Margin Measurement

Staff working paper 2018-21 Elena Goldman, Xiangjin Shen
We explore properties of asymmetric generalized autoregressive conditional heteroscedasticity (GARCH) models in the threshold GARCH (GTARCH) family and propose a more general Spline-GTARCH model, which captures high-frequency return volatility, low-frequency macroeconomic volatility as well as an asymmetric response to past negative news in both autoregressive conditional heteroscedasticity (ARCH) and GARCH terms.

The (Un)Demand for Money in Canada

Staff working paper 2018-20 Casey Jones, Geoffrey R. Dunbar
A novel dataset from the Bank of Canada is used to estimate the deposit functions for banknotes in Canada for three denominations: $1,000, $100 and $50. The broad flavour of the empirical findings is that denominations are different monies, and the structural estimates identify the underlying sources of the non-neutrality.

Housing Price Network Effects from Public Transit Investment: Evidence from Vancouver

Staff working paper 2018-18 Alex Chernoff, Andrea Craig
In this paper, we estimate the effect on housing prices of the expansion of the Vancouver SkyTrain rapid transit network during the period 2001–11. We extend the canonical residential sorting equilibrium framework to include commuting time in the household utility function.

How to Manage Macroeconomic and Financial Stability Risks: A New Framework

Staff analytical note 2018-11 Alexander Ueberfeldt, Thibaut Duprey
Financial system vulnerabilities increase the downside risk to future GDP growth. Macroprudential tightening significantly reduces financial stability risks associated with vulnerabilities. Monetary policy faces a trade-off between financial stability and macroeconomic risks.

Could a Higher Inflation Target Enhance Macroeconomic Stability?

Recent international experience with the effective lower bound on nominal interest rates has rekindled interest in the benefits of inflation targets above 2 per cent. We evaluate whether an increase in the inflation target to 3 or 4 per cent could improve macroeconomic stability in the Canadian economy.

State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models

Staff working paper 2018-14 Luis Uzeda
Implications for signal extraction from specifying unobserved components (UC) models with correlated or orthogonal innovations have been well investigated. In contrast, the forecasting implications of specifying UC models with different state correlation structures are less well understood.
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