Presenter(s)
David A. Christian, Matt G. Putbrese
Files
Download Project (263 KB)
Description
The purchasing managers' index (PMI) is considered a leading indicator of U.S. manufacturing activity as well as overall economic activity. Financial markets respond quickly to above or below trend movements in PMI. In this study I develop regression models that specify the relationship between PMI and each of the 10 SPDR ETFs. I test the hypothesis that b>0 i.e. that SPDR ETF prices covary directly with changes in the PMI index. Using log linear models, I also test the hypothesis that the response coefficients are relatively elastic i.e. b>1. I use monthly data to construct the models. The overall time period analyzed is 2004-2014.Two subperiods are also evaluated (1) 2004-2008 and (2) 2009-2014.
Publication Date
4-9-2015
Project Designation
Independent Research
Primary Advisor
Trevor C. 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
"Macro Economic Activity and Sector Price Movements: A Closer Look at PMI Data" (2015). Stander Symposium Projects. 624.
https://ecommons.udayton.edu/stander_posters/624
![Macro Economic Activity and Sector Price Movements: A Closer Look at PMI Data](https://ecommons.udayton.edu/stander_posters/1621/thumbnail.jpg)
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