Reliability and Heterogeneity of Real Estate Indexes and their Impact on the Predictability of Returns

Gabriele Sampagnaro and Francesca Battaglia

MPRA Paper from University Library of Munich, Germany

Abstract: This paper addresses the issue of data quality in the real estate market. In many countries, the returns indices for direct markets are provided by several sources differing in terms of the methodology adopted and index weights. These differences produce a lack of informative standardization, which could negatively affect the ability of market participants to make predictions. By focusing on the Italian real estate market, the aim of the paper is therefore twofold: to investigate the reliability of property data sources, and to assess the impact for financial intermediaries involved in real estate investments. Our results show a significant level of divergence between the data, and considerable implications for those financial institutions dealing with them. These findings conflict with the requirements of an efficient (or at least sub-efficient) market.

Keywords: real estate; data divergence; IRR; efficient frontier (search for similar items in EconPapers)
JEL-codes: G11 L15 L85 (search for similar items in EconPapers)
Date: 2010
New Economics Papers: this item is included in nep-ure
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Citations: View citations in EconPapers (2)

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