Real-Estate Return Predictability and the Drift Between the Outcomes of Portfolio Investment Strategies

1995 ◽  
Author(s):  
Dirk P.M. De Wit
Author(s):  
Söhnke M. Bartram ◽  
Harald Lohre ◽  
Peter F. Pope ◽  
Ananthalakshmi Ranganathan

AbstractThe literature on cross-sectional stock return predictability has documented over 450 factors. We take the perspective of an institutional investor and navigate this zoo of factors by focusing on the evidence relevant to the practicalities of factor-based investment strategies. Establishing a sound theoretical rationale is key to identifying “true” factors, and we emphasize the need to recognize data-mining concerns that may cast doubt on the relevance of many factors. From a practical investment perspective, much of the factor evidence documented by academics may be more apparent than real. The performance of many factors is dependent on the inclusion of small- and micro-cap stocks in academic studies, although such stocks would likely be excluded from the real investment universe due to illiquidity and transaction costs. Nevertheless, a parsimonious set of factors emerges in equities and other asset classes, including currencies, fixed income, and commodities. These factors can serve as meaningful ingredients to factor-based portfolio construction.


2019 ◽  
Vol 84 (1) ◽  
pp. 142-170 ◽  
Author(s):  
Adam Travis

Sociological accounts of urban disinvestment processes rarely assess how landlords’ variable investment strategies may be facilitated or constrained by the legal environment. Nor do they typically examine how such factors might, in turn, affect housing conditions for city dwellers. Over the past two decades, the advent and diffusion of the limited liability company (LLC) has reshaped the legal landscape of rental ownership. Increasingly, rental properties are owned by business organizations that limit investor liability, rather than by individual landlords who own property in their own names. An analysis of administrative records and survey data from Milwaukee, Wisconsin, demonstrates that signs of housing disinvestment increase when properties transition from individual to LLC ownership. This increase is not explained by selection on property characteristics or by divergent pre-transfer trends. Results affirm that real estate investors are responsive to changes in the legal environment and that the protective structure of the LLC facilitates housing disinvestment in Milwaukee. Elaborating the role of real estate investors can deepen accounts of neighborhood change processes and help explain variation in local housing conditions. Ultimately, public policies that enable business operators to circumscribe or reallocate risk may generate unintended costs for consumers and the public.


2015 ◽  
Vol 33 (2) ◽  
pp. 169-195 ◽  
Author(s):  
Karim Rochdi ◽  
Marian Dietzel

Purpose – The purpose of this paper is to investigate whether there is a relationship between asset-specific online search interest and movements in the US REIT market. Design/methodology/approach – The authors collect search volume (SV) data from “Google Trends” for a set of keywords representing the information demand of real estate (equity) investors. On this basis, the authors test hypothetical investment strategies based on changes in internet SV, to anticipate REIT market movements. Findings – The results reveal that people’s information demand can indeed serve as a successful predictor for the US REIT market. Among other findings, evidence is provided that there is a significant relationship between asset-specific keywords and the US REIT market. Specifically, investment strategies based on weekly changes in Google SV would have outperformed a buy-and-hold strategy (0.1 percent p.a.) for the Morgan Stanley Capital International US REIT Index by a remarkable 15.4 percent p.a. between 2006 and 2013. Furthermore, the authors find that real-estate-related terms are more suitable than rather general, finance-related terms for predicting REIT market movements. Practical implications – The findings should be of particular interest for REIT market investors, as the established relationships can potentially be utilized to anticipate short-term REIT market movements. Originality/value – This is the first paper which applies Google search query data to the REIT market.


2007 ◽  
Vol 10 (2) ◽  
pp. 23-41
Author(s):  
Ping Cheng ◽  
◽  
Stephen E. Roulac ◽  

This paper examines the relationship between return predictability and REIT characteristics. We build a multifactor model based on a set of firm-specific factors that include (1) Risk factors; (2) Liquidity factors; (3) Expensiveness; (4) Profitability; and (5) Return history. Our model demonstrates the capability of predicting the “winners” and the “losers,” with fairly high consistency. Given the large return differences uncovered by the model, and the fundamental characteristics of the “winners” versus the “losers,” it is unlikely that strong results are artifacts of a biased methodology.


Author(s):  
Artur Arkadiusz Trzebiński

Aim: The purpose of this article is to assess the efficiency of management of real estate funds by managers and profitability of funds.Design / Research methods: The study used elements of financial analysis and case studies.Conclusions / findings: The results of the survey indicate the low yields of the real estate funds surveyed (only one fund brought profits to the investors, the remaining 5 losses) and the low efficiency of the managers and the high cost-of-operation of the real estate funds. The research has shown the low effectiveness of investment strategies and business models that require changes and other solutions.Originality / value of the article: The study covered the real estate funds that were liquidated or liquidated started in the managerial terms, which allows to assess the effectiveness of managers at every stage of life funds. The research is a continuation of the author's earlier research. According to author's knowledge, no similar studies have been published so far.


2015 ◽  
Vol 4 (7) ◽  
pp. 64-71
Author(s):  
Becir Kalac ◽  
Ljiljana Berezljev ◽  
Mehmed Meta ◽  
Maida Musovic

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