Overview
- Key Insights from Customer Transactions
- COVID-19, the Canadian Economy and Scotiabank’s Transactions Data
- Business Transactions Data Details
- Retail Transactions Data Details
- Other High-Frequency Indicators of Activity
1. Key Insights from Canadian Customer Transactions
This presentation is part of the weekly series intended to draw insights about the state of the Canadian economy from the flow of Scotiabank’s retail and non-retail transactions data.
Key takeaways from the payments data in this week’s publication:
- Business transactions updated to August 13th have shown significant volatility since mid-July:
-After a temporary boost seen in mid-July, the volume of transactions declined to more normal levels by the end of the month, before picking up again in August on rising activity at firms in wholesale, manufacturing and finance industries.
-Rent payments continued to rise, with y/y growth turning positive since early July. Payroll deposits have shown positive y/y growth since mid-July, in line with an improvement in the employment market. - Growth in consumer transactions, available through August 17th, has been oscillating in the 5-10% range in y/y terms:
-The pace of growth in transactions appears to have plateaued since mid-June, being now comparable to the pre-COVID growth rates.
-While spending on categories that experienced a boost in demand has trended lower (groceries, software), the recovery in hard-hit categories such as clothing and entertainment has also started to slacken. - Caveats: some of the improvement in card spending is likely due to a substitution away from cash. In addition, some of the recent rise in spending may reflect the cumulated, but temporary, impact of purchases that had to be postponed due to the pandemic (e.g. car maintenance). Finally, the usual seasonal patterns may have shifted since the start of the pandemic, affecting the y/y comparison.
2. COVID-19 and the Canadian Economy: Scotiabank Transactions Data
- We present data on retail and non-retail transactions, which capture distinct but related aspects of economic activity in Canada.
- The data comprises actual observed daily transactions going through debit or credit card payment networks in the retail space, and automated funds transfers (AFTs) in the non-retail space.
-The transactions are anonymized and aggregated to protect the privacy of Scotiabank’s clients. - In the current circumstances, comparing the dollar volumes of transactions in the current year and in 2019 can be indicative of the depth of the decline in economic activity in Q2-2020 and help track growth through the re-opening phase.
-Note that the mapping from the volume of transactions to measures of economic activity (e.g. GDP) is imperfect, and so care must be taken when drawing the implications. - The AFT payments show bill payments to/from companies in Canada.
-Incoming payments can be associated with company revenue, and outgoing payments can be associated with costs. - Debit and credit card payments can be used to measure the evolution of retail spending at various types of establishments.
-The transactions can serve as a measure of economy-wide retail spending, and of the extent to which households are resuming pre-COVID levels of activity.
-Note that the use of electronic payments has increased because of COVID-19, so comparisons to year-ago levels can be misleading. These data are best used to observe directional movements rather than to make specific assessments on the level of activity.
2. COVID-19 and the Canadian Economy: Caveats
There are important caveats to analysis based on the payments data:
- The data is observed at daily frequency and embeds different types of seasonal patterns.
-For retail payments, the volume and types of payments are different depending on the day of the week and the season.
-For non-retail payments, both the day of the week and the season are important. In addition, some payments are tied to the calendar date (e.g. rent payments are made on the first day of each month), some payments have a bi-weekly schedule, etc.
-To smooth out most of the day-to-day seasonality we use a 14-day moving average of the dollar volume of transactions, taking a y/y% change to remove any remaining seasonal patterns related to the calendar date. - In addition to seasonality, there is normal payment volatility related to the random nature of the transactions process and the impact of regional and economy-wide events (weather, labour strikes, etc.).
-The volatility of this nature may or may not be related to economic activity as measured by GDP and so, as mentioned above, care must be taken in drawing inference. - For business transactions, which are inherently more lumpy compared to retail spending, data towards the end of the sample can be revised as some AFT payments are recorded with a lag. As a result we exclude the last few days of data of business transactions only.
3. Business Transactions Data: July Volatility Recedes, Spending Rises in August
- Automated Funds Transfers (AFT) are used for:
-rent and mortgage payments;
-payroll deposits; and
-other bills. - After a temporary boost seen in mid-July, the volume of transactions declined to more normal levels by the end of the month. The activity picked up again in August on rising volumes at firms in wholesale, manufacturing and finance industries (see Charts 2-6).
3. Business Transactions Data: Despite Unusual Volatility, Trends Remain Intact
3. Business Transactions Data: Manufacturing and Finance Improve Further
3. Business Transactions Data: Bill Payments Rise in August
- Outgoing AFT payments rose further in August on higher general bill payments (Chart 7):
-Rent payments continued to rise, with y/y growth turning positive since early July.
-Payroll deposits have shown positive y/y growth since mid-July, in line with an improvement in the employment market (Charts 8 and 9).
3. Business Transactions Data: Rent/Payrolls Continue to Improve
4. Retail Transactions Data: Card Spending Growth Stabilized
- Growth in consumer transactions, available through August 17th, has been oscillating in the 5-10% range in y/y terms (Chart 10):
-The pace of growth in transactions appears to have plateaued since mid-June, being now comparable to the pre-COVID y/y growth rates. - The amounts of CERB payments have been gradually coming down since reaching a peak in mid-April, in line with the observed improvement in the labour market in May-July.
4. Retail Transactions Data: Pace of Recovery Broadly Consistent across Provinces
- Province-level data shows a consistent trend across provinces.
- Transactions growth in Ontario has turned lower in July despite a gradually expanding share of the re-opened economy (Chart 12), while spending in Alberta and BC retreated after a temporary rise in mid-July (Chart 14).
- Note that the share of card transactions not tied to a particular province has been on the rise recently, explaining some of the divergence between the Canada-wide trend and provincial totals.
4. Retail Transactions Data: Card Spending Across Most Categories Stabilizes
- By merchant type, the only remaining broad categories that are still below the 2019 levels are travel and restaurant spending, the latter very slightly (Chart 15).
- Travel spending continues to run significantly below last year’s levels, and a durable recovery is unlikely until international and interprovincial travel normalizes.
4. Retail Transactions Data: Travel, Restaurants and Entertainment Growth Stalled
- The recovery in hard-hit categories such as clothing and entertainment has started to stall since mid-July (Chart 16):
-Growth in card spending at automotive merchants continued to trend lower in August, while the improvement in a few categories still under water has stalled.
-Growth in hardware store spending has trended down since reaching a peak in late-May, but consumers continue to spend significantly more on home improvement compared to last year.
4. Retail Transactions Data: Growth in Digital Spending Trending Down
- Categories that have been outperforming since the start of the pandemic still show strong, albeit receding, growth relative to last year (Chart 17).
-While the level of spending on computer network services (e.g. Amazon) is holding up, a strong rise in spending recorded in mid-July of 2019, temporarily distorted the y/y calculation with an unfavourable base year effect.
5. Other High-Frequency Indicators Of Activity
Charts 18-31: Google Searches, Various Keywords, Dining and Transportation Data
Nikita Perevalov* (Scotiabank Economics)
Taha Jaffer, Jason Liang (Data Science and Analytics)
Roland Merbis, Artur Motruk (Customer Insights & Analytics)
* Director of Economic Forecasting, 437.775.5137, nikita.perevalov@scotiabank.com
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