Team selection by Portfolio Optimization

J. M. Mulvey; W. Green; C. Traub

Team selection by Portfolio Optimization

J. M. Mulvey, W. Green, C. Traub

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Choosing a golf team from a group of eligible candidates is posed as a stochastic optimisation model. We apply portfolio theory in a quest to maximize the team's result relative to its capabilities and the competition. A trade-off exists between reward and risk as measured by the probability of achieving a designated goal. We see that quantitative tools can be combined with expert judgment of the coaching staff in order to arrive at an "optimal" solution. The techniques are applied to the Princeton University golf team.

Original language	English (US)
Title of host publication	Science and Golf IV
Subtitle of host publication	Proceedings of the WorId Scientific Congress of Golf
Publisher	Taylor and Francis Inc.
Pages	305-316
Number of pages	12
ISBN (Electronic)	9780203715000
ISBN (Print)	9780415283021
State	Published - Nov 12 2012

All Science Journal Classification (ASJC) codes

General Medicine

Keywords

Decision making under uncertainty
Optimisation
Team selection

Cite this

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ER -

Team selection by Portfolio Optimization

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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