What's Next for the Dynamic Industrial Market? Webinar (2020)
Recorded On: 04/20/2020
- Registration Closed
The Advantage Series is an exclusive member benefit, delivering expert insights into the latest research to help you make informed business decisions.
Whether you are developing, investing or brokering industrial real estate, you know the product has been hot and continues to expand. E-commerce, last mile delivery, two-story urban distribution centers and more continue to shape all aspects of the multifaceted industrial market.
Get the inside track on upcoming opportunities in the sector with Dr. Hany Guirguis, Professor, Economics & Finance, Manhattan College and Dr. Tim Savage, Clinical Assistant Professor, NYU SPS Schack Institute of Real Estate. They will provide insights and data from the new NAIOP Industrial Space Demand Forecast, identify linkages between overall economic activity and the demand for industrial real estate, and engage in a live Q&A session with attendees.
Hany Guirguis, Ph.D.
Professor of Economics and Finance
- 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.