Industrial Space Demand: What the Latest NAIOP Forecast Tells Us Webinar

Recorded On: 08/27/2020

Registration Closed

Although industrial real estate has outperformed other commercial property types this year, thanks in part to rising e-commerce sales, unprecedented economic indicators suggest U.S. industrial space net absorption may decline to negative levels during the next three quarters. What factors contribute to this projected decline, when will it rebound, and what does it mean for industrial real estate sector?

To identify linkages between overall economic activity and the demand for industrial real estate, forecast authors Dr. Hany Guirguis, professor, economics & finance, Manhattan College and Dr. Tim Savage, clinical assistant professor, NYU SPS Schack Institute of Real Estate, will walk us through the numbers, provide an overview of their forecasting process and engage in a live Q&A session with attendees.

Hany Guirguis, Ph.D.

Professor of Economics and Finance

Manhattan College

Professor of economics and finance at Manhattan College and the recipient of the Ambassador Charles A. Gargano Endowed Chair in Finance.
Has taught numerous graduate and undergraduate courses in finance, econometrics, statistics, accounting, and economics.
Specializes in financial modeling and applied econometrics and has published more than forty articles in several finance and economics journals.
Received his B.A. in accounting from Helwan University, M.A. in economics from the American University in Cairo, M.B.A. in Finance from Baruch College, and M.S. and Ph.D. in macroeconomics and econometrics from the University of Oregon.

Tim Savage, Ph.D.

Clinical Assistant Professor of Real Estate

Clinical assistant professor of real estate at NYU’s Schack Institute of Real Estate, where he is the Program Coordinator of Data Science and the Faculty Director of Hirsh Scholars.
The former Senior Managing Economist and Principal Data Scientist of CBRE Econometric Advisors. Tim is a data scientist with nearly 20 years of experience at international firms such as Charles River Associates and Navigant Consulting.
His general focus is the use of machine learning to evaluate business strategy.
Speaks frequently to institutional investors in commercial real estate on macroeconomics, monetary policy, and the potential impacts of big data and technological change. His research has been twice discussed in the Economist, and he has addressed the National League of Cities on uses of big data in policy making.
He holds a Ph.D. in economics from the University of North Carolina-Chapel Hill.