** This post has been approved by the moderators. Thanks! **
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. This post is an invitation 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.
[ this is a repost: we're still recruiting! ]
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 greatest payoff: 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. Thanks! **
Submitted August 31, 2017 at 10:14AM by sciencegames http://ift.tt/2wkuV1h
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