Determinants of global property share betas (Record no. 104880)

MARC details
000 -LEADER
fixed length control field 01919cam a2200181 4500
001 - CONTROL NUMBER
control field ##L131864
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 051213n1999 000 0 eng u
035 ## - SYSTEM CONTROL NUMBER
System control number (Sirsi) u131864
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Xu, Qing
245 00 - TITLE STATEMENT
Title Determinants of global property share betas
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. London
Name of publisher, distributor, etc. RICS
Date of publication, distribution, etc. 1999
520 ## - SUMMARY, ETC.
Summary, etc. The performance of international property shares has lately been studied rather extensively. Most of the studies to date have found that the diversification potential for investing in international property shares is substantial, and that there are efficiency gains to be reaped from holding real estate indirectly instead of direct ownership. On the other hand, property shares have also been found to have a strong relationship with common stocks, which diminishes their potential for reducing the risk of a mixed-asset portfolio. Some recent papers, however, have shown that the correlation of property share returns with common stock returns is decreasing. This paper tries to shed more light on this issue, by examining property share betas in time and across countries, and by investigating the relationship between these betas and property company characteristics. The results will provide further evidence of the diversification potential of property company investments. In this study, monthly return data of all real estate companies in Europe and North America will be used for measuring the company betas. In addition, corresponding listed property company information is compiled as independent variables. All data for this research is provided by the Global Property Research Database. By analysing those data, we will test our hypothesis that company betas are driven by company type, leverage, size, sector, lease terms etc.
520 ## - SUMMARY, ETC.
Summary, etc. This item is no longer available.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element PROPERTY-PROPERTY FINANCE AND INVESTMENT
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Eichholtz, P.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Suppress in OPAC 0
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    Dewey Decimal Classification     Virtual Virtual Online 13/12/2005   ONLINE PUBLICATION 131864-1001 06/08/2019 1 06/08/2019 Book