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433 Results

Characterizing the Canadian Financial Cycle with Frequency Filtering Approaches

Staff analytical note 2018-34 Andrew Lee-Poy
In this note, I use two multivariate frequency filtering approaches to characterize the Canadian financial cycle by capturing fluctuations in the underlying variables with respect to a long-term trend. The first approach is a dynamically weighted composite, and the second is a stochastic cycle model.

Introducing a Systematic Measure of Idiosyncratic Prices

Staff analytical note 2018-33 Madigan Dockrill, Laurence Savoie-Chabot
There is a risk that Bank of Canada staff may inadvertently be biased when analyzing inflation: when inflation surprises on the downside, staff might emphasize negative idiosyncratic factors. When inflation surprises on the upside, staff might emphasize the positive idiosyncratic factors.

Monetary Policy Uncertainty: A Tale of Two Tails

Staff working paper 2018-50 Tatjana Dahlhaus, Tatevik Sekhposyan
We document a strong asymmetry in the evolution of federal funds rate expectations and map this observed asymmetry into measures of monetary policy uncertainty. We show that periods of monetary policy tightening and easing are distinctly related to downside (policy rate is higher than expected) and upside (policy rate is lower than expected) uncertainty.

Challenges in Implementing Worst-Case Analysis

Staff working paper 2018-47 Jon Danielsson, Lerby Ergun, Casper G. de Vries
Worst-case analysis is used among financial regulators in the wake of the recent financial crisis to gauge the tail risk. We provide insight into worst-case analysis and provide guidance on how to estimate it. We derive the bias for the non-parametric heavy-tailed order statistics and contrast it with the semi-parametric extreme value theory (EVT) approach.

How Long Does It Take You to Pay? A Duration Study of Canadian Retail Transaction Payment Times

Staff working paper 2018-46 Geneviève Vallée
Using an exclusive data set of payment times for retail transactions made in Canada, I show that cash is the most time-efficient method of payment (MOP) when compared with payments by debit and credit cards. I model payment efficiency using Cox proportional hazard models, accounting for consumer choice of MOP.

Price Selection

Staff working paper 2018-44 Carlos Carvalho, Oleksiy Kryvtsov
We propose a simple, model-free way to measure selection in price setting and its contribution to inflation dynamics. The proposed measure of price selection is based on the observed comovement between inflation and the average level from which adjusting prices depart.

Market Size and Entry in International Trade: Product Versus Firm Fixed Costs

Staff working paper 2018-43 Walter Steingress
This paper develops a theoretical framework to infer the nature of fixed costs from the relationship between entry patterns in international markets and destination market size. If fixed costs are at the firm level, firms take advantage of an intrafirm spillover by expanding firm-level product range (scope).

Weakness in Non-Commodity Exports: Demand versus Supply Factors

Staff analytical note 2018-28 José Dorich, Vadym Lepetyuk, Jonathan Swarbrick
We use the Terms-of-Trade Economic Model (ToTEM) to conduct demand- and supply-driven simulations, both of which deliver weakness in Canadian non-commodity exports relative to foreign activity in line with recent data.

Sluggish Forecasts

Staff working paper 2018-39 Monica Jain
Given the influence that agents’ expectations have on key macroeconomic variables, it is surprising that very few papers have tried to extrapolate agents’ “true” expectations directly from the data. This paper presents one such approach, starting with the hypothesis that there is sluggishness in inflation and real GDP growth forecasts.

Nowcasting Canadian Economic Activity in an Uncertain Environment

Staff discussion paper 2018-9 Tony Chernis, Rodrigo Sekkel
This paper studies short-term forecasting of Canadian real GDP and its expenditure components using combinations of nowcasts from different models. Starting with a medium-sized data set, we use a suite of common nowcasting tools for quarterly real GDP and its expenditure components.
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