Construction Machinery and the Business Cycle

Project Summary

A team of students will consult with a leading financial advisory and asset management firm that is seeking to understand how big data can shed light on the secondary market for construction machinery. Students will explore a combination of publicly-available datasets that describe the used-machinery market and its potential implications as an indicator for the business cycle. There will be frequent interactions with analytical professionals from the firm.

Themes and Categories
Contact
Paul Bendich
Mathematics
bendich@math.duke.edu

Disciplines Involved: Economics, Civil Engineering, all Quantitative STEM

Project Lead: Paul Bendich

Project Manager: TBD

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