[UPenn Research] Forecasting Challenge: Earn up to $20, and a chance to win an Oculus Rift!

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Hey /r/StockMarket,

 

I am a PhD student at the University of Pennsylvania doing a fellowship with the Wharton Risk Center to study financial forecasting. I'm inviting you to support research on financial decisions by contributing your forecasts! You can earn up to $20 based on the accuracy of your forecasts, and a chance to win an Oculus Rift! Just visit http://ift.tt/2fdqnnv.

 

 

What you get:

• For each challenge (up to 10) you’ll be paid based on the accuracy of your forecast
• For each challenge you complete, you’ll be entered in a raffle to win an Oculus Rift!
• Upon request, a personalized report based on what we learn from the study
• The satisfaction of helping to improve financial decisions for both professionals and personal investors!

 

How it works:

• Visit http://ift.tt/2fdqnnv for more information & to enroll. We’ll ask you to complete a brief survey to help us interpret the results.
• To get the best data, we need everyone to forecast at the same time! We’ll send you an email when challenges are scheduled.
• For each challenge, you’ll be asked to submit your forecast 3 times
• Each challenge takes less than 5 minutes!

 

Payment:

• Payment will be submitted via PayPal at the conclusion of the study, or once you complete 10 challenges
• For each challenge, you’ll earn up to $2, for a total maximum earning of $20.00
• Cash winnings are based on the accuracy of your forecasts
• One lucky participant will be sent an Oculus Rift at the conclusion of the study!
  
• The more challenges you complete, the better your chances of winning the Oculus Rift

 

 

Questions? Email me at: silab@asc.upenn.edu, send a message via Reddit, or comment on this thread.

 

The link, one more time: http://ift.tt/2fdqnnv

 

 

Thanks so much,

Joshua Becker
Social Innovations Lab
University of Pennsylvania

 

** This post has been approved by the moderators of this subreddit! Thanks! **

Submitted August 04, 2017 at 08:08AM by sciencegames http://ift.tt/2v5bV4R