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34 Results

Payment Habits During COVID-19: Evidence from High-Frequency Transaction Data

Staff Working Paper 2021-43 Tatjana Dahlhaus, Angelika Welte
We examine how consumers have adjusted their payment habits during the COVID-19 pandemic. They seem to perform fewer transactions, spend more in each transaction, use less cash at the point of sale and withdraw cash from ATMs linked to their financial institution more often than from other ATMs.

Estimating Large-Dimensional Connectedness Tables: The Great Moderation Through the Lens of Sectoral Spillovers

Staff Working Paper 2021-37 Felix Brunner, Ruben Hipp
Understanding the size of sectoral links is crucial to predicting the impact of a crisis on the whole economy. We show that statistical learning techniques substantially outperform traditional estimation techniques when measuring large networks of these links.

Evolving Temperature Dynamics in Canada: Preliminary Evidence Based on 60 Years of Data

Are summers getting hotter? Do daily temperatures change more than they used to? Using daily Canadian temperature data from 1960 to 2020 and modern econometric methods, we provide economists and policy-makers evidence on the important climate change issue of evolving temperatures.

How Oil Supply Shocks Affect the Global Economy: Evidence from Local Projections

Staff Discussion Paper 2019-6 Olivier Gervais
We provide empirical evidence on the impact of oil supply shocks on global aggregates. To do this, we first extract structural oil supply shocks from a standard oil-price determination model found in the literature.

Disentangling the Factors Driving Housing Resales

Staff Analytical Note 2019-12 Mikael Khan, Taylor Webley
We use a recently developed model and loan-level microdata to decompose movements in housing resales since 2015. We find that fundamental factors, namely housing affordability and full-time employment, have had offsetting effects on resales over our study period.

Fundamental Drivers of Existing Home Sales in Canada

Staff Discussion Paper 2018-16 Taylor Webley
Existing home sales’ share of Canada’s economic pie has been rising in recent years, and variation around this trend has resulted in outsized contributions to changes in real gross domestic product (GDP). In this context, we use a cointegration framework to estimate the level of resale activity across the Canadian provinces that is supported by fundamentals—namely, full-time employment, housing affordability and migration flows—to help look through the volatility.

Does US or Canadian Macro News Drive Canadian Bond Yields?

Staff Analytical Note 2018-38 Bruno Feunou, Rodrigo Sekkel, Morvan Nongni Donfack
We show that a large share of low-frequency (quarterly) movements in Canadian government bond yields can be explained by macroeconomic news, even though high-frequency (daily) changes are driven by other shocks. Furthermore, we show that US macro news—not domestic news— explains most of the quarterly variation in Canadian bond yields.

Assessing the Predictive Ability of Sovereign Default Risk on Exchange Rate Returns

Staff Working Paper 2017-19 Claudia Foroni, Francesco Ravazzolo, Barbara Sadaba
Increased sovereign credit risk is often associated with sharp currency movements. Therefore, expectations of the probability of a sovereign default event can convey important information regarding future movements of exchange rates.
May 11, 2017

Why Is Global Business Investment So Weak? Some Insights from Advanced Economies

Various drivers of business investment can be used to explain the underwhelming performance of investment in advanced economies since the global financial crisis, particularly since 2014. The slow growth in aggregate demand cannot by itself explain the full extent of the recent weakness in investment, which appears to be linked primarily to the collapse of global commodity prices and a rise in economic uncertainty. Looking ahead, business investment growth is likely to remain slower than in the pre-crisis period, largely because of structural factors such as population aging.

Markov‐Switching Three‐Pass Regression Filter

We introduce a new approach for the estimation of high-dimensional factor models with regime-switching factor loadings by extending the linear three-pass regression filter to settings where parameters can vary according to Markov processes.
Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C2, C22, C23, C5, C53
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