Yung Stat Squad

A Statistical Learning Approach to Stock Market Predictions


Member profile details

Membership level
2015-2016 Team
Project Thumbnail Image
Team Name
Yung Stat Squad
Project Title
A Statistical Learning Approach to Stock Market Predictions
Design Challenge
The aim of our capstone project is to develop a trading strategy to predict daily stock market returns by incorporating various methods and algorithms in statistical learning. In doing so, we intend to challenge the Efficient Market Hypothesis. We aim to apply statistics in order to to predict these returns one day ahead of time, with as high accuracy as possible, and with better performance than the hypothesis suggests.
  • Statistics
Faculty Advisor 1 - Name
Dr. Neely Atkinson
Faculty Advisor 1 - Department
  • STAT
Faculty Advisor 2 - Name
Dr. Debelman
Faculty Advisor 2 - Department
  • STAT

Contact us

Oshman Engineering Design Kitchen
Rice University

6100 Main Street MS 390 | Houston, Texas | 77005

Phone: 713.348.OEDK


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