Characteristics of Rental Real Estate Investors During the 2000s

2018 ◽  
Vol 29 (2) ◽  
pp. 369-382 ◽  
Author(s):  
Martin C. Seay ◽  
Somer G. Anderson ◽  
Andy T. Carswell ◽  
Robert B. Nielsen
Keyword(s):  
Real Estate ◽  
Investment Decision ◽  
Housing Markets ◽  
Real Estate Market ◽  
Program Participation ◽  
Real Estate Investment ◽  
Real Estate Education ◽  
Financial Characteristics ◽  
Using Data

Using data from the 2001, 2004, and 2008 panels of the Survey of Income and Program Participation (SIPP), this research examines the characteristics of households that invested in rental real estate during the 2000s. Given the tumultuous real estate market during that decade, rental real estate investment was investigated during the early part of the housing market boom (2001), the height of the boom (2004), and after the market began to decline (2008). Results reveal relative stability with slight investment increases in rental real estate (4.57% in 2001 to 5.00% in 2004 to 5.08% in 2008), and several investor demographic and financial characteristics consistently associated with the investment decision. Evidence of potential over-reliance on real estate investment by some households indicates that financial planners should work to educate clients who invest, or are seeking to invest, in real estate. Education would emphasize that overweighting portfolios with real estate could be deleterious to client’s wealth goals in times of slow rental or depreciating housing markets.

scholarly journals Genetic Algorithm as Automated Valuation Model Component in Real Estate Investment Decisions System

2020 ◽  
Vol 28 (4) ◽  
pp. 1-14
Author(s):  
Aneta Chmielewska ◽  
Jerzy Adamiczka ◽  
Michał Romanowski
Keyword(s):  
Genetic Algorithms ◽  
Real Estate ◽  
Investment Decision ◽  
Biological Evolution ◽  
Investment Decisions ◽  
Careful Analysis ◽  
Real Estate Market ◽  
Real Estate Investment ◽  
Automated Valuation ◽  
The Impact

AbstractEvery real-estate related investment decision making process calls for the careful analysis of available information even though it is often carried out in conditions of uncertainty. The paper attempts to minimize the impact of the factor on the quality of real estate investment decisions through the proposal of application of tools based on the simulation of the process of natural selection and biological evolution. The aim of the study is to analyze the potential of methodology based on genetic algorithms (GA) to build automated valuation models (AVM) in uncertainty conditions and support investment decisions on the real estate market. The developed model facilitates the selection of properties adequate to the adopted assumptions, i.e. individuals best suited to the environment. The tool can be used by real estate investment advisors and potential investors on the market to predict future processes and the proper confrontation of past events with planned events. Even though genetic algorithms are tools that have already found particular application on real estate market, there are still areas that need further studies in the case of more effective uses. The obtained results allow for the possibilities and barriers of applying GA to real estate market analyses to be defined.

Digitalization Real Estate on American Real Estate Society 2018: A Dramatic and Irreversible Shift in Real Estate Systems

2019 ◽  
Vol 10 (5) ◽  
pp. 380-386
Author(s):  
Jan Veuger ◽  
Keyword(s):  
Real Estate ◽  
Capital Flows ◽  
Global Economy ◽  
Real Estate Market ◽  
Educational Models ◽  
Annual Congress ◽  
Real Estate Education ◽  
Demographic Effects

The 34th annual congress of April 10-14 this year took place in Bonita Springs (Florida) where the professionals in real-estate education and research discussed six themes: global economy and capital flows, real estate market cycles, demographic effects, future-proof real estate, disruption in technology and future educational models.

What drives housing prices, rent and new construction in China

2017 ◽  
Vol 10 (5) ◽  
pp. 662-686
Author(s):  
Dimitrios Staikos ◽  
Wenjun Xue
Keyword(s):  
Real Estate ◽  
Empirical Test ◽  
Housing Prices ◽  
Panel Cointegration ◽  
Real Estate Market ◽  
Estimation Methods ◽  
Content Type ◽  
New Construction ◽  
Using Data ◽  
First Time

Purpose With this paper, the authors aim to investigate the drivers behind three of the most important aspects of the Chinese real estate market, housing prices, housing rent and new construction. At the same time, the authors perform a comprehensive empirical test of the popular 4-quadrant model by Wheaton and DiPasquale. Design/methodology/approach In this paper, the authors utilize panel cointegration estimation methods and data from 35 Chinese metropolitan areas. Findings The results indicate that the 4-quadrant model is well suited to explain the determinants of housing prices. However, the same is not true regarding housing rent and new construction suggesting a more complex theoretical framework may be required for a well-rounded explanation of real estate markets. Originality/value It is the first time that panel data are used to estimate rent and new construction for China. Also, it is the first time a comprehensive test of the Wheaton and DiPasquale 4-quadrant model is performed using data from China.

scholarly journals The Impact of Single-Family Rental REITs on Regional Housing Markets: A Case Study of Nashville, TN

Societies ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 93 ◽  
Author(s):  
Ken Chilton ◽  
Robert Silverman ◽  
Rabia Chaudhrey ◽  
Chihaungji Wang
Keyword(s):  
Real Estate ◽  
Census Data ◽  
Housing Markets ◽  
Future Research ◽  
Individual Investors ◽  
Single Family ◽  
Real Estate Investment ◽  
Wealth Concentration ◽  
The Impact ◽  
The U.S

The U.S. Congress authorized the creation of real estate investment trusts (REITs) in 1960 so companies could develop publically traded real estate investment portfolios. REITs focus on commercial property, retail property, and rental property. During the last decade, REITs became more active in regional housing markets across the U.S. Single-family rental (SFR) REITs have grown tremendously, buying up residential properties across the country. In some regional housing markets, SFR REITs own noticeable shares of single-family homes. In those settings, SFR REITs take large numbers of housing units off of real estate markets where homeownership transactions occur and manage these properties as part of commercial rental inventories. This has resulted in a new category of multiple property owners, composed of institutional investors as opposed to individual investors, which further exacerbates property wealth concentration and polarization. This study examines the socio–spatial distribution of properties in SFR REIT portfolios to determine if SFR REIT properties tend to cluster in distinct areas. This study will focus on the regional housing market in Nashville, TN. Nashville has one of the most active SFR REIT sectors in the country. County tax assessor records were used to identify SFR REIT properties. These data were joined with U.S. Census data to create a profile of communities. The data were analyzed using SPSS statistical software and GIS software. Our analysis suggests that neighborhoods with clusters of SFR REITs fit the SFR REIT business model. Clusters occur in communities with newer homes, residents with higher levels of educational attainment, and middle to upper-middle incomes. The paper concludes with several recommendations for future research on SFR REITs.

scholarly journals ASSESSING REAL ESTATE INVESTMENT ALTERNATIVES: A MULTI-CRITERIA AND MULTI-STAKEHOLDER DECISION AID TOOL

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Vasileios A. Mantogiannis ◽  
Fotios A. Katsigiannis
Keyword(s):  
Real Estate ◽  
Financial Performance ◽  
Investment Decision ◽  
Investment Decisions ◽  
Real Estate Investment ◽  
Solution Approach ◽  
Decision Environment ◽  
Multi Stakeholder ◽  
The Uk ◽  
Severe Uncertainty

Investment decisions in private real-estate demand the consideration of several qualitative and quantitative criteria, as well as the different or even conflicting interests of the participating stakeholders. Meanwhile, certain indicators are subject to severe uncertainty, which will eventually alter the expected outcome of the investment decision. Even though multi-criteria decision making (MCDM) techniques have been extensively used in real-estate investment appraisals, there is limited evidence from the private rented sector, which constitutes a large part of the existing real estate assets. The existing approaches are not designed to capture the inherent variability of the decision environment, and they do not always achieve a consensus among the participating actors. In this work, through a rigorous literature review, we were able to identify a comprehensive list of assessment criteria, which were further validated through an iterative Delphi-based consensus-making process. The selected criteria were then used to construct an Analytical Hierarchy Process (AHP) model evaluating four real world, real estate investment alternatives from the UK private rented market. The volatility of the financial performance indicators was grasped through several Monte Carlo simulation runs. We tested the described solution approach with preference data obtained by seven senior real estate decision-makers. Our computational results suggest that financial performance is the main group of selection criteria. However, the sensitivity of the outcome indicates that location and property characteristics may greatly affect real estate investment decisions.

scholarly journals The changing real estate market transparency in the European real estate markets

2016 ◽  
Vol 34 (4) ◽  
pp. 407-420 ◽  
Author(s):  
Graeme Newell
Keyword(s):  
Decision Making ◽  
Real Estate ◽  
Real Estate Market ◽  
Real Estate Investment ◽  
Content Type ◽  
Real Estate Markets ◽  
Market Transparency ◽  
Global Context ◽  
Business Competitiveness ◽  
Risk Dimensions

Purpose – Real estate market transparency is an important factor in real estate investment and occupier decision making. The purpose of this paper is to assess real estate transparency over 2004-2014 to determine whether the European real estate markets have become more transparent in a regional and global context. Design/methodology/approach – Using the JLL real estate transparency index over 2004-2014, changes in real estate market transparency are assessed for 102 real estate markets. This JLL real estate market transparency index is also assessed against corruption levels and business competitiveness in these markets. Findings – Improvements in real estate transparency are clearly evident in many European real estate markets, with several of these European real estate markets seen to be the major improvers in transparency from a global real estate markets perspective. Practical implications – Institutional investors and occupiers see real estate market transparency as a key factor in their strategic real estate investment and occupancy decision making. By assessing changes in real estate transparency across 102 real estate markets, investors and occupiers are able to make more informed real estate investment decisions across the global real estate markets. In particular, this relates to both investors and occupiers being able to more fully understand the risk dimensions of their international real estate decisions. Originality/value – This paper is the first paper to assess the dynamics of real estate market transparency over 2004-2014, with a particular focus on the 33 European real estate markets in a global context to facilitate more informed real estate investment and occupancy decision making.

Determinants of house buyers’ expected holding periods in boom and bust markets in California

2017 ◽  
Vol 10 (2) ◽  
pp. 256-281 ◽  
Author(s):  
Ekaterina Chernobai ◽  
Tarique Hossain
Keyword(s):  
Rational Expectation ◽  
House Price ◽  
Housing Markets ◽  
Real Estate Market ◽  
Disposition Effect ◽  
Content Type ◽  
Ex Post ◽  
Novel Approach ◽  
Ex Ante ◽  
Financial Characteristics

Purpose This study aims to investigate the determinants of homeowners’ planned holding periods. Real estate market is known for displaying buying and selling behavior that does not conform to traditional economic theories such as rational expectation or expected utility. Mounting evidence of anomalous observations appear to be supported by other theories, such as prospect theory, which in particular helps explain the disposition effect – sellers are too quick to sell when prices are climbing and hold on to properties longer when prices are plummeting. While this evidence is widely documented in housing studies based on data on realized holding periods (i.e. ex post), this study explores factors that may motivate homeowners to alter their expected holding horizons (i.e. ex ante) to form new preferred holding periods that may be shorter or longer than those planned during house search. Design/methodology/approach The empirical study uses data collected from two cross-section surveys of recent homebuyers in rising and declining housing markets in Southern California in 2004-2005 and 2007-2008, respectively. Findings The empirical results demonstrate that in addition to the financial characteristics of the recent homebuyer, the characteristics of the buying experience – non-monetary, such as the realized search duration, and monetary, such as perception of negative or positive premium paid for the house relative to its market value – have a statistically significant effect on the holding horizon revision. The data strongly indicate that the perception of having overpaid increases the likelihood of upward revision of the original holding horizon. This effect is stronger in the declining than in the rising market – a crucial finding that mirrors the disposition effect. Originality/value This study sheds new light on what may contribute to the disposition effect in housing markets that has not yet been investigated in past literature. The novel approach here is to look at how different house price environments may affect homeowners’ holding periods ex ante when they begin, rather than ex post when already realized.

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