Student Work
A Novel Method of Applying Mean-Variance Analysis to Forex Trading Systems to Reduce Risk
PublicDownloadable Content
open in viewerMaximizing profitability and minimizing risk in financial assets portfolios has been commonly solved with Mean-Variance Analysis (MVA). Trading systems, unlike investments, cannot be organized into portfolios through MVA due to discontinuous returns. Through a novel method to discretize trade system data into time series, MVA was then applied to custom forex trading systems and the optimized portfolio reduced risk by approximately 10% in comparison to several baseline portfolio configurations. The method provides a crude but general solution to optimizing trading system portfolios.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Subject
- Publisher
- Identifier
- E-project-102617-130519
- Keyword
- Advisor
- Year
- 2017
- Date created
- 2017-10-26
- Location
- Worcester
- Resource type
- Rights statement
Relations
- In Collection:
Items
Permanent link to this page: https://digital.wpi.edu/show/m039k511n