Research exercise: S&P 500 Sector Weights: The Case for Inverse Relative Price Strength

Authors

Presenter(s)

Nate Huage

Comments

This poster reflects research conducted as part of a course project designed to give students experience in the research process.

Files

Description

In this study, I used a relative price strength model called the Inverse Relative Price Strength (IRPS) to develop a portfolio of 10 sector exchange-traded funds (ETFs) and then compared their performance to the overall market. I used the IRPS model as a proxy for the return risk optimizing process developed by Markowitz et, al. The hypothesis that I am testing is that sectors with lower relative prices compared to the market will have higher excess returns. The hypothesis is tested over the period 2008-2012. This particular period is highly volatile with large swings in both actual and relative prices. In addition, because this period covers the downswing period in 2008, the subsequent rebound period in 2009, and the continued upswing and trading range in 2010-2012, I will be able to evaluate the IRPS model's effectiveness in different phases of the market cycle for the overall portfolio as well as the individual sector ETFs.

Publication Date

4-8-2014

Project Designation

Course Project

Primary Advisor

Robert Dean, Trevor Collier

Primary Advisor's Department

Economics and Finance

Keywords

Stander Symposium project

Disciplines

Arts and Humanities | Business | Education | Engineering | Life Sciences | Medicine and Health Sciences | Physical Sciences and Mathematics | Social and Behavioral Sciences

Recommended Citation

"Research exercise: S&P 500 Sector Weights: The Case for Inverse Relative Price Strength" (2014). Stander Symposium Projects. 477.
https://ecommons.udayton.edu/stander_posters/477