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Anticipate demands, invest now

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Will Burgess / Reuters / File

(Read caption) An electrical salesman poses with an incandescent light bulb and an energy-saving compact florescent bulb in Sydney in this file photo. Guest blogger Matthew E. Kahn writes that we can adapt to climate change better if companies anticipate future needs, like more energy efficient appliances or innovations that economize on water consumption.

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There are no "$20 dollar bills on the ground"? If we anticipate that the Baby Boomers are a large aging cohort, does capitalism get ready to innovate to provide products they will demand to help them achieve their daily goals? This newspaper article says "yes". Anticipating increased demand for a variety of products to help seniors, firms are paying the fixed costs today to develop these products in order to meet future rising demand.
Stephano DellaVigna and Joshua Pollet have written an important paper related to this topic.
Attention, Demographics and the Stock Market
Their Abstract:

"Do investors pay enough attention to long-term fundamentals? We consider the case of demographic information. Cohort size fluctuations produce forecastable demand changes for age-sensitive sectors, such as toys, bicycles, beer, life insurance, and nursing homes. These demand changes are predictable once a specific cohort is born. We use lagged consumption and demographic data to forecast future consumption demand growth induced by changes in age structure. We find that demand forecasts predict profitability by industry. Moreover, forecasted demand changes 5 to 10 years in the future predict annual industry stock returns. One additional percentage point of annualized demand growth due to demographics predicts a 5 to 10 percentage point increase in annual abnormal industry stock returns. However, forecasted demand changes over shorter horizons do not predict stock returns. The predictability results are more substantial for industries with higher barriers to entry and with more pronounced age patterns in consumption. A trading strategy exploiting demographic information earns an annualized risk-adjusted return of 5 to 7 percent. We present a model of underreaction to information about the distant future that is consistent with the findings."

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