Required Returns for Real Estate in the UK

The current issues of reforming the current tax system in the Russian Federation in the context of the transition to determining the amount of real estate taxes based on the cadastral value of real estate objects are discussed. The decision on adopting elements of a tax system in practice should be scientifically and methodologically based. The rational construction of the tax system of Russia contributes to the study of foreign tax systems’ models. In the article, the systems for calculating real estate tax established in the foreign countries under consideration are highlighted. Everything is based on analyzing the practice of real estate valuation in the UK, France, Belgium, Latvia, Finland, USA and Chile. A comparison is made of the grounds for calculating the property tax, their distinctive features. The main approaches to determining the cadastral value taking place in the cadastral systems of foreign countries are summarized. The conducted studies provide grounds for identifying trends in real estate valuation, which are being introduced into modern Russian cadastral valuation practice.

Download Full-text

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

International Journal of the Analytic Hierarchy Process ◽

10.13033/ijahp.v12i1.702 ◽

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.

Download Full-text

The Restructuring of the Institutional Real Estate Portfolio in the UK

10.15396/eres2016_86 ◽

2016 ◽

Author(s):

Neil Dunse ◽

Nicola Livingstone ◽

Colin Jones ◽

Kevin Cutsforth

Keyword(s):

Real Estate ◽

The Uk

Download Full-text

What sells in a crisis? Determinants of sale probability over a cycle and through a crash

Journal of Property Investment and Finance ◽

10.1108/jpif-02-2017-0013 ◽

2017 ◽

Vol 35 (6) ◽

pp. 619-637 ◽

Cited By ~ 2

Author(s):

David Scofield ◽

Steven Devaney

Keyword(s):

Real Estate ◽

Sample Selection ◽

Sampling Technique ◽

Real Estate Market ◽

Commercial Real Estate ◽

Content Type ◽

Asset Selection ◽

The Uk ◽

Real Estate Cycle ◽

Over Time

Purpose The purpose of this paper is to understand what affects the liquidity of individual commercial real estate assets over the course of the economic cycle by exploring a range of variables and a number of time periods to identify key determinants of sale probability. Design/methodology/approach Analyzing 12,000 UK commercial real estate transactions (2003 to 2013) the authors use an innovative sampling technique akin to a perpetual inventory approach to generate a sample of held assets for each 12 month interval. Next, the authors use probit models to test how market, owner and property factors affect sale probability in different market environments. Findings The types of properties that are most likely to sell changes between strong and weak markets. Office and retail assets were more likely to sell than industrial both overall and in better market conditions, but were less likely to sell than industrial properties during the downturn from mid-2007 to mid-2009. Assets located in the City of London more likely to sell in both strong and weak markets. The behavior of different groups of owners changed over time, and this indicates that the type of owner might have implications for the liquidity of individual assets over and above their physical and locational attributes. Practical implications Variation in sale probability over time and across assets has implications for real estate investment management both in terms of asset selection and the ability to rebalance portfolios over the course of the cycle. Results also suggest that sample selection may be an issue for commercial real estate price indices around the globe and imply that indices based on a limited group of owners/sellers might be susceptible to further biases when tracking market performance through time. Originality/value The study differs from the existing literature on sale probability as the authors analyzed samples of transactions drawn from all investor types, a significant advantage over studies based on data restricted to samples of domestic institutional investors. As well, information on country of origin for buyers and sellers allows us to explore the influence of foreign ownership on the probability of sale. Finally, the authors not only analyze all transactions together, but the authors also look at transactions in five distinct periods that correspond with different phases of the UK commercial real estate cycle. This paper considers the UK real estate market, but it is likely that many of the findings hold for other major commercial real estate markets.

Download Full-text