Repository logo
Research Outputs
Projects
People
Statistics
  1. Home
  2. HSG CRIS
  3. HSG Publications
  4. Predicting the Presidential Election Cycle in US Stock Prices: Guinea Pigs versus the Pros
Details

Predicting the Presidential Election Cycle in US Stock Prices: Guinea Pigs versus the Pros

Series
6
Type
discussion paper
Date Issued
2008-04-08
Author(s)
Gärtner, Manfred  
Abstract
The notion that US stock prices follow a pattern that is synchronized with the rhythm of presidential elections has been a topic among financial investors for a long time. Academic work exists that supports this idea, quantifies the pattern, and has demonstrated its robustness over several decades and across parties in power. This paper takes the existence and robustness of this presidential election cycle for granted and asks whether individuals exploit it when asked to predict stock prices. It considers and contrasts two types of such forecasts: Those made by professionals included in the Livingston survey; and those made by students in a laboratory experiment. One key result is that neither group fares particularly well, though participants in the lab experiment clearly outperformed the professionals.

[http://ideas.repec.org/p/usg/dp2008/2008-06.html Volltext herunterladen]
Language
English
Keywords
Livingston survey
experiment
expectations
forecast
presidential election cycle
stock prices
HSG Classification
contribution to scientific community
Refereed
No
Publisher
Department of Economics, University of St. Gallen
Publisher place
St. Gallen
Number
2008
Start page
19
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/78477
Subject(s)

economics

Division(s)

FGN - Institute of Ec...

Eprints ID
44450
Support
HSG researchers can find instructions here for adding or importing publications (DOI, ORCID). Please send questions to alexandria@unisg.ch

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify