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The Journal of Real Estate Finance and Economics

, Volume 51, Issue 4, pp 480–502 | Cite as

Online Information Search, Market Fundamentals and Apartment Real Estate

  • Prashant Das
  • Alan ZiobrowskiEmail author
  • N. Edward Coulson
Article

Abstract

We examine the association between online apartment rental searches and fundamental real estate market variables namely, vacancy rates, rental rates and real estate asset price returns. We find that consumer real estate searches are significantly associated with the market fundamentals after controlling for known determinants of these variables. In particular, we show that apartment rental-related online searches are endogenously and contemporaneously associated with reduced vacancy rate. However, the association between the searches and rental rates is not significant. The searches are also contemporaneously associated with positive returns on the appraised values of multifamily assets. There is some evidence that the searches are fundamentally associated with REIT returns in the short run and that REIT investors watch the online search trends to inform their stock pricing decisions.

Keywords

Information search Apartment markets Internet 

Notes

Acknowledgments

An earlier version of this paper won the best manuscript award at the American Real Estate Society (ARES) annual conference in Seattle (2011). Authors are thankful to Jonathan Wiley, Karen Gibler and the anonymous reviewers for their intellectual contributions. The paper has benefitted from the participants at the AREUEA mid-year conference (2011, Washington DC). Feedback from the following persons is highly appreciated: Vivek Sah, Julian Diaz III, Tim Riddiough, Jay Hartzell, Alan Tidwell, Philip Seagraves, Julia Freybote, Dongshin Kim, SungHan Ro, Frank Gyamfi-Yeboah, Kenneth Soyeh, Patrick Smith, Alan Ferguson, Yu Liu, Paul Seguin.

References

  1. Bank, M., & Larch, M. P. (2011). Google search volume and its influence on liquidity and returns of German stocks. Financial Markets and Portfolio Management, 25, 239–264.CrossRefGoogle Scholar
  2. Barber, B. M., & Odean, T. (2008). All that glitters: the effect of attention and news on the buying behavior of individual and institutional investors. Review of Financial Studies, 21(2), 785–818.CrossRefGoogle Scholar
  3. Beracha, E., & Wintoki, M. B. (2013). Forecasting residential real estate price changes from online search activity. Journal of Real Estate Research, 35(3), 283–312.Google Scholar
  4. Bolster, P. J., Trahan, E., & Venkateswaran, A. (2012). How mad is mad money? Jim Cramer as a stock picker and portfolio manager. Journal of Investing, 21(2), 27–39.CrossRefGoogle Scholar
  5. Chervachidze, S., Costello, J., & Wheaton, W. C. (2009). The secular and cyclic determinants of capitalization rates: the role of property fundamentals, macroeconomic factors, and “structural changes”. The Journal of Portfolio Management, 35(5), 50–69.CrossRefGoogle Scholar
  6. Choi, H., & Varian, H. (2009, April). Predicting the Present with Google Trends. Retrieved September 12, 2009, from Google, Inc.: http://static.googleusercontent.com/external_content/untrusted_dlcp/www.google.com/en/us/googleblogs/pdfs/google_predicting_the_present.pdf.
  7. Clayton, J., Ling, D. C., & Naranjo, A. (2009). Commercial real estate valuation: fundamentals versus investor sentiments. Journal of Real Estate Finance and Economics, 38, 5–37.CrossRefGoogle Scholar
  8. Da, Z., Engelberg, J., & Gao, P. (2011). In search of attention. Journal of Finance LXVI, 5, 1461–1499.CrossRefGoogle Scholar
  9. Derwall, J., Huij, J., Brounen, D., & Marquering, W. (2009). REIT momentum and the performance of real estate mutual funds. Financial Analyst Journal, 65(5), 24–34.CrossRefGoogle Scholar
  10. Drake, M. S., Roulstone, D. T., Thornock, J. R. (2012). Investor information demand: evidence from google searches around earnings announcements. Journal of Accounting Research, Forthcoming.Google Scholar
  11. Ghysels, E., Plazzi, A., Torous, W., Valkanov, R. (2012, July 1). Forecasting Real Estate Prices. Retrieved July 18, 2012, from UCSD: rady.ucsd.edu/faculty/directory/valkanov/docs/HandRE_GPTV.pdfGoogle Scholar
  12. Grenadier, S. R. (1995). Local and national determinants of office vacancies. Journal of Urban Economics, 37(1), 57–71.zbMATHCrossRefGoogle Scholar
  13. Hohenstatt, R., Käsbauer, M., & Schäfers, W. (2011). “Geco” and Its potential for real estate research: evidence from the US housing market. Journal of Real Estate Research, 33(4), 471–506.Google Scholar
  14. Joseph, K., Wintoki, M. B., Zhang, Z. (2011). Forecasting abnormal stock returns and trading volume using investor sentiment: evidence from online search. International Journal of Forecasting, Forthcoming.Google Scholar
  15. Kahneman, D. (1973). Attention and effort. Englewood Cliff: Prentice Hall.Google Scholar
  16. Merton, R. (1987). A simple model of capital market equilibrium with incomplete information. The Journal of Finance, 42(3), 483–510.CrossRefGoogle Scholar
  17. Neumann, J. J., & Kenny, P. M. (2007). Does mad money make the market go mad? The Quarterly Review of Economics and Finance, 47, 602–615.CrossRefGoogle Scholar
  18. Peng, L., & Xiong, W. (2006). Investor attention, overconfidence and category learning. Journal of Financial Economics, 80, 563–602.CrossRefGoogle Scholar
  19. Rosen, K. T., & Smith, L. B. (1983). The price adjustment process and the natural vacancy rate. American Economic Review, 73, 779–786.Google Scholar
  20. Vlastakis, N., & Markellos, R. N. (2012). Information demand and stock market volatility. Journal of Banking and Finance, 36, 1808–1821.CrossRefGoogle Scholar
  21. Voith, R., & Chrone, T. (1988). Natural vacancy rates and the persistence of shocks in U.S. office markets. AREUEA Journal, 16, 437–458.CrossRefGoogle Scholar
  22. Wu, L., & Brynjolfsson, E. (2009). The future of prediction: How google searches foreshadow housing prices and sales. Cambridge: MIT Working Papers.Google Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Prashant Das
    • 1
  • Alan Ziobrowski
    • 2
    Email author
  • N. Edward Coulson
    • 3
  1. 1.Ecole hôtelière de LausanneLausanne 25Switzerland
  2. 2.Georgia State UniversityAtlantaUSA
  3. 3.University of Nevada Las VegasLas VegasUSA

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