Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S
| Autor: | Dwight M. Jaffee, Richard Stanton, Nancy Wallace |
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| Rok vydání: | 2018 |
| Předmět: |
Market capitalization
Finance Economics and Econometrics 050208 finance business.industry 05 social sciences Real estate Urban Studies Accounting 0502 economics and business Forward price Earnings before interest and taxes Market price Business 050207 economics Futures contract Database transaction Efficient energy use |
| Zdroj: | Jaffee, Dwight; Stanton, Richard; & Wallace, Nancy. (2012). Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.. UC Berkeley: Fisher Center for Real Estate and Urban Economics. Retrieved from: http://www.escholarship.org/uc/item/03d6w2m1 Jaffee, Dwight M.; Stanton, Richard; & Wallace, Nancy E.(2010). Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.. Fisher Center for Real Estate & Urban Economics. UC Berkeley: Fisher Center for Real Estate and Urban Economics. Retrieved from: http://www.escholarship.org/uc/item/9f71t44f |
| ISSN: | 1573-045X 0895-5638 |
| DOI: | 10.1007/s11146-018-9676-x |
| Popis: | PRELIMINARY AND INCOMPLETE This paper presents an empirical analysis of the relationship between energy factor markets, leasing structures and the transaction prices of office buildings in the U.S. We employ a large sample of 15,230 office building transactions that occurred between 2001 and 2010. In addition to building characteristics, we also include information on the operating expenses, the net operating income, and the capitalization rates at sale to estimate an asset pricing model for commercial office real estate assets. A further set of important controls in our analysis is the one-to-twelve month forward contract prices and the shape of the forward contract price curve, using auction data from the major electricity trading hubs in the U.S. and from the Henry Hub for natural gas. We also include weather metrics in the form of the variance in the last twelve months of minimum and maximum temperature and precipitation from each building's sale date. Our �nal set of controls includes information on the dominant leasing structures in the buildings. Our empirical results suggest that Energy Star labels do not explain additional variance in property prices once the key asset pricing factors of expenses, income and capitalization rates are included. Energy factor market prices, the shape of the energy price curves, and weather metrics are consistently shown to be statistically signi�cant determinants of office building transaction prices, suggesting that commer- cial office building prices are likely to be exposed to shocks in these markets. This �nding has important implications for underwriting commercial mortgage default risk. |
| Databáze: | OpenAIRE |
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