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D.J. Hartzell, A.E. Mengdon
Another look at equity real estate investment trust returns
T. Yang, B. Maris (1993)
Mortgage Refinancing with Asymmetric InformationReal Estate Economics, 21
L. Brocklebank, D. Dickey (1997)
Sas System for Forecasting Time Series
G.R. Mueller, S.P. Laposa
Factors affecting public REIT pricing
E.J. Norman, G.S. Sirmans, J.D. Benjamin
The historical environment of real estate returns
J.B. Corgel, W. McIntosh, S.H. Ott
Real estate investment trusts: a review of the financial economics literature
T.E. McCue, J.L. Kling
Real estate returns and the macroeconomy: some empirical evidence from real estate investment trust data, 1972‐1991
M.S. Giliberto
Measuring real estate returns: the hedged REIT Index
T. Dielman (1990)
Applied Regression Analysis for Business and Economics
D.H. Gatzlaff, D. Tirtiroglu
Real estate market efficiency: issues and evidence
L.B. Sagalyn
Real estate risk and the business cycle: evidence from the securities markets
D. Geltner (1989)
Estimating Real Estate's Systematic Risk from Aggregate Level Appraisal‐Based ReturnsReal Estate Economics, 17
M.S. Giliberto
Equity real estate investment trusts and real estate returns
B.L. Bowerman, R.T. O’Connell
Forecasting and Time Series: An Applied Approach
D. Geltner (1993)
Temporal Aggregation in Real Estate Return IndicesReal Estate Economics, 21
M.S. Young, D.W. Grieg
Drums along the efficient frontier
Rebel Cole (1988)
A new look at commercial real estate returns
William Wei (1989)
Time series analysis - univariate and multivariate methods
S. Giliberto (1993)
Measuring Real Estate Returns, 19
D. Geltner (1989)
Bias in Appraisal‐Based ReturnsReal Estate Economics, 17
C. Granger, P. Newbold (1986)
Forecasting Economic Time SeriesElsevier Monographs
W. Vandaele (1983)
Applied Time Series and Box-Jenkins Models
Joseph Gyourko, Donald Keim (1992)
What Does the Stock Market Tell Us About Real Estate ReturnsReal Estate Economics, 20
Tests for correlation between the NCREIF (NC) Index and EREIT Index. A multiple time series methodology is used to control for spurious correlation, allow for leading and lagging relationships, and to control for autoregressive moving average processes found in the time series. The underlying variables generating returns for the investor, current cash flow and capital appreciation, are analysed separately. Significant correlation is found between the NC cash flows and EREIT dividends. Significant correlation is not observed between the NC portfolio and EREIT when capital values are analysed. Suggests that one or both series are not a good measure of real estate returns.
Journal of Property Finance – Emerald Publishing
Published: Jun 1, 1996
Keywords: Multiple time series; Property; Securitization
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