What it means
Economic reports usually tell you what has already happened, such as last quarter's sales or last month's inflation. An expectations index looks the other way.
It asks households what they believe will happen to business conditions, the job market and their own earnings over roughly the next six months, and then turns the answers into one number. The most widely quoted example is the Expectations Index from The Conference Board, which forms one part of its consumer confidence measure alongside a present situation index.
A similar idea appears in the University of Michigan's consumer survey, which also reports an index of consumer expectations. The two use different question sets and base periods, so their numbers should not be compared directly.
These indices are built from survey answers rather than from hard transactions. Each question records the share of people who say conditions will improve, stay the same or worsen, and the result is compared with a base year that is set to 100.
A reading above the base period level shows a more optimistic mood than in that period, while a reading below it shows the reverse. Businesses watch the number because mood influences behaviour.
If households expect job losses, they may delay buying a car or booking a holiday, and a retailer or manufacturer can use that signal to adjust stock and hiring plans. Forecasters also treat a persistently low reading as a possible warning of weaker spending.
Timing is another practical point. Survey results are normally published monthly, and earlier figures are sometimes revised when late responses arrive.
Analysts therefore tend to follow the direction over several months rather than a single release. The main nuance is that sentiment and spending do not always move together.
People can say they are worried and still spend, particularly when prices are rising and they want to buy ahead of further increases. An expectations index is therefore one input among many, and it works best alongside real data on sales and employment.
In practice
Real-world examples.
Example
A furniture retailer sees the expectations index fall for three months in a row. It cuts its next purchase order by 10% and delays a planned store opening until the survey improves. When sales weaken a quarter later, it is holding less unsold stock than its competitors.
Example
A car finance company notices that expectations about jobs and income are rising steadily. Its credit team relaxes a few approval criteria and its marketing team brings forward a spring campaign. Applications rise by a fifth over the following quarter.
Example
A hotel group in a leisure destination reviews the index before setting next year's budget. A weak reading leads the finance team to model occupancy 4 points lower in the downside case, and to hold back planned refurbishment spending until bookings are confirmed.
Formula
Calculation
Index = (Positive answers / (Positive answers + Negative answers)) / Base-period ratio x 100
This is a simplified, single-question version of the idea. Suppose a survey of 1,000 households finds that 300 expect conditions to improve and 200 expect them to worsen, so the ratio is 300 / (300 + 200) = 0.60. The base-period ratio was 0.50. Index = 0.60 / 0.50 x 100 = 120, which shows a more optimistic outlook than in the base period.Case study
Seen in the real world.
Marlow & Finch Outfitters is an illustrative, fictional clothing retailer with 40 stores. In autumn, the finance director noticed that the consumer expectations index had dropped sharply even though current sales were still on target.
She asked the buying team to place 15% fewer orders for winter stock and to negotiate flexible delivery dates with suppliers. Management accepted the plan, although some store managers thought it was too cautious.
By January, demand had cooled and rivals were discounting heavily to clear excess stock. Marlow & Finch finished the season with limited markdowns, and the illustrative lesson is that a forward-looking indicator can give a few months of warning that sales data cannot.
Watch out
Common mistakes.
- Treating the index as a forecast of sales, when it records opinions that may or may not turn into spending.
- Comparing readings from different surveys as if they used the same scale and base period.
- Reacting to a single month's change, when survey results can move because of sampling noise.
Questions
People also ask.
What does an expectations index of 100 mean?
It means the mood is the same as in the base period used to build the index, not that the economy is average.
Is the expectations index the same as consumer confidence?
No, consumer confidence is usually a wider measure that combines views of the present situation with expectations for the future.
Who uses an expectations index?
Retailers, lenders, economists, investors and central banks all watch it for hints about future spending and demand.
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