2015
DOI: 10.1108/jpif-02-2015-0013
|View full text |Cite
|
Sign up to set email alerts
|

Real estate portfolio construction for a multi-asset portfolio

Abstract: If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
14
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
7
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 16 publications
(16 citation statements)
references
References 23 publications
0
14
0
Order By: Relevance
“…As other authors did previously [14,15], we use index prices as data for our experiments. Stocks are proxied by the S&P 500 index for the US marked, by the FTSE 100 index for the UK market, and by the S&P/ASX 200 index for the Australian market.…”
Section: A Datamentioning
confidence: 99%
“…As other authors did previously [14,15], we use index prices as data for our experiments. Stocks are proxied by the S&P 500 index for the US marked, by the FTSE 100 index for the UK market, and by the S&P/ASX 200 index for the Australian market.…”
Section: A Datamentioning
confidence: 99%
“…Rehring (2012) pointed out that ignoring transaction costs, return predictability, and marketing period risk in previous studies could yield misleading results for optimal allocation in real estate. Lekander (2015) highlights the composition of the real estate portfolio (and sensitivity to local markets) influences the optimal asset allocation. This is an issue relevant to this research given the potentially lower sensitivity of long lease real estate to market conditions.…”
Section: Related Literaturementioning
confidence: 99%
“…Therefore, it was adjusted for valuationsmoothing using the statistical de-smoothing filter prescribed by Geltner (1993) with a firstorder auto-regressive de-smoothing parameter of α 5 0.5. This method has been utilised in various previous studies such as Hoesli et al (2004), Newell and Lee (2011b), Lekander (2015), Marzuki and Newell (2017), amongst others, as part of their research using valuation-derived direct property data series. This calibration procedure, which was aimed to reduce the impact of temporal lag and autocorrelation, resulted in one-quarter of the total return data being consumed in the construction of the de-smoothed global non-listed infrastructure total return series, seeing Q3:2008-Q2:2009 as the 11-year analysis timeframe.…”
Section: Data Sourcesmentioning
confidence: 99%