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Most economic forecasts fail to predict turns in the economy because they rely on the wrong economic indicators and present information in complex, inaccessible ways.
Simply constructing easy-to-read charts that illustrate relationships between different economic factors works much better for making forecasts.
Tracking cause-and-effect historically helps predict it in the future.
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The best time to sell is when the economy is peaking, which is counterintuitive for many people. People want to believe that the good times are going to keep rolling.
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Consumer spending drives most economic activity, so indicators tied directly to spending, like personal incomes and interest rates, make the best predictors of overall economic performance.
Consumer spending leads to production and capital investment, so forecasting it well forecasts other indicators.
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Employment levels actually lag economic changes rather than predicting them. Hiring drops when the economy declines and rises when it improves again.
Look at consumption instead to predict employment, since spending heads upward first. Consumption rising means employment will follow.
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For business forecasting, use economic indicators relevant for your specific products and industry niche, and look at historical performance through business cycles.
Manufacturers can relate consumer spending to their sales categories.
Understand your context instead of overall data.
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The Federal Reserve's interest rates influence consumer psychology and inflation, but they don't directly determine consumer spending. Their economic impacts are indirect.
People mistake the Fed's attempts to cool down or stimulate growth via rates as linked to spending, but the relationship is not close.
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History shows to buy stocks when the economy looks bleak but consumer spending shows signs of improvement.
The best time to sell is when consumer spending and growth peak. This contradicts the instinct to buy when times seem good and sell when worried.
Take the counterintuitive approach.
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IDEAS CURATED BY
CURATOR'S NOTE
The book Ahead of the Curve by Joseph Ellis discusses improving economic forecasting by using the right indicators and tracking year-over-year data instead of short-term fluctuations. It argues that recession definitions are overrated, and that slowing growth is more damaging than commonly realized. The book advocates focusing on consumer spending as the main economic driver, and provides guidance on relating indicators like incomes, interest rates and stock markets to spending. It aims to help readers make better forecasts for economies, industries and companies.
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Different Perspectives Curated by Others from Ahead of the Curve
Curious about different takes? Check out our book page to explore multiple unique summaries written by Deepstash curators:
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Courtney Abbott's Key Ideas from Ahead of the Curve
Joseph H. Ellis
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