Demographic Change and Pharmaceuticals' Stock Returns
Journal
European Financial Management
ISSN
1354-7798
ISSN-Digital
1468-036X
Type
journal article
Date Issued
2011-09
Author(s)
Abstract
We analyze how demographic change affected profits and returns across pharmaceutical industries over the last twenty years. Fluctuations in different age group sizes influence the estimated demand changes for age-sensitive drugs, such as antibacterials for young, antidepressants for middle-aged, and antithrombotics for old people. These demand changes are predictable as soon as a specific age group is born. We use consumption and demographic data to forecast future consumption demand growth for drugs caused by demographic changes in the age structure. We find that long-term forecasted demand changes predict abnormal annual pharmaceutical stock returns for more than 60 firms over the time period from 1986 to 2008. An increase by one percentage point of annual demand growth due to demographic changes predicts an increase in abnormal yearly stock returns in the size of 3-5 percentage points. Short-term forecasted demand changes does predict negative abnormal stock returns for a time horizon below 5 years. A trading strategy taking advantage of the demographic information earns a significant abnormal return between 6 and 8 percentage points per year. Our results are consistent with the model by DellaVigna and Pollet (2007), where investors are inattentive with extrapolation in the distant future and overreact to information in the near future.
http://ssrn.com/abstract=1428373
http://ssrn.com/abstract=1428373
Language
English
Keywords
Demographic Change
Demand Growth
Abnormal Stock Returns
Pharmaceutical Companies
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Wiley-Blackwell
Publisher place
Oxford
Volume
17
Number
4
Start page
726
End page
754
Pages
29
Subject(s)
Eprints ID
54603
File(s)![Thumbnail Image]()
Loading...
open.access
Name
Ammann_Berchtold_Seiz_DemographicChangePharmaceuticals2009.pdf
Size
7.91 MB
Format
Adobe PDF
Checksum (MD5)
243dc8db65575547bbfc3fe2c1463428