C - Mathematical and Quantitative Methods
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Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts
We present a novel database of real-time data and forecasts from the Bank of Canada’s staff economic projections. We then provide a forecast evaluation for GDP growth and CPI inflation since 1982: we compare the staff forecasts with those from commonly used time-series models estimated with real-time data and with forecasts from other professional forecasters and provide standard bias tests. -
Assessing Vulnerabilities in Emerging-Market Economies
This paper introduces a new tool to monitor economic and financial vulnerabilities in emerging-market economies. We obtain vulnerability indexes for several early warning indicators covering 26 emerging markets from 1990 to 2017 and use them to monitor the evolution of vulnerabilities before, during and after an economic or financial crisis. -
Characterizing the Canadian Financial Cycle with Frequency Filtering Approaches
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. -
The Size and Destination of China’s Portfolio Outflows
The size of China’s financial system raises the possibility that the liberalization of its capital account could have a large effect on the global financial system. This paper provides a counterfactual scenario analysis that estimates what the size and direction of China’s overseas portfolio investments would have been in 2015 if China had had no restrictions on these outflows. -
Disaggregating Household Sensitivity to Monetary Policy by Expenditure Category
Because the Bank of Canada has started withdrawing monetary stimulus, monitoring the transmission of these changes to monetary policy will be important. Subcomponents of consumption and housing will likely respond differently to a monetary policy tightening, both in terms of the aggregate effect and timing. -
Monetary Policy Uncertainty: A Tale of Two Tails
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
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
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. -
Nowcasting Canadian Economic Activity in an Uncertain Environment
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.