Features of Retail Real Estate Market Dynamics in the North-Caucasian Region

10.12737/2490 ◽  
2014 ◽  
Vol 2 (3) ◽  
pp. 19-23
Author(s):  
Моргунова ◽  
Yelyena Morgunova
Keyword(s):  
Economic Development ◽  
Real Estate ◽  
Essential Role ◽  
Real Estate Market ◽  
Commercial Real Estate ◽  
The Other ◽  
The North ◽  
Regional Market ◽  
Real Estate Sector ◽  
Great Development

The commercial real estate market has a great development potential in this country. The author evaluates current developments at the regional market of retail real estate and its specifics inherent to the Southern Regions of Russia. Domestic market plays an essential role in the national economy, as a crucial factor of the of economic development pace. In many regions the commercial real estate sector demonstrates the highest development rates as compared to the other sectors of economy. The commercial real estate sector is also considered as the most attractive for investments. These factors emphasize the urgency of the presented research.

scholarly journals Integrated Approach to the Development of Competitive Strategies in the Commercial Real Estate Regional Market

2020 ◽  
pp. 195-206
Author(s):  
Natalia Polusmakova ◽  
Olga Serova ◽  
Stella Zemlyanskaya ◽  
Adelina Pototnya
Keyword(s):  
Real Estate ◽  
Competitive Strategy ◽  
Swot Analysis ◽  
Integrated Approach ◽  
Real Estate Market ◽  
Optimal Choice ◽  
Commercial Real Estate ◽  
Integrated System ◽  
Regional Market ◽  
The Impact

Modern commercial real estate market is one of the most important areas of Russian economy. Regardless of the social structure, real estate has a special place in the system of economic relations. Commercial real estate is directly connected with the functioning of economic agents of all business categories and is actively used in a significant number of economic transactions. The formulation and theoretical justification of an integrated approach to the construction of a competitive strategy involves not only the study and practical application of existing methods for the assessment of internal and external environments, but also the study of their interaction. The purpose of the article is to develop the methodology for a comprehensive analysis of the micro and macro environment and offer local businesses operating in the sphere of commercial real estate the optimal, according to the authors, competitive strategy in the industry under analysis. The relevance of this article is connected with the instability of the market environment and the efficiency requirements for company programs of competitive positioning. The paper presents the main stages in the development of the competitive strategy of an enterprise based on the integrated application of analysis methods for external and internal environment: PEST analysis, the “5 forces” model of M. Porter, SWOT analysis. The results obtained using the tools of competitive strategy analysis and its surrounding factors using multiple intersection of characteristics have been summarized in an integrated system of the list of strategic development alternatives. This makes it possible to justify the optimal choice of a specific competitive strategy for one of the participants in the regional market of commercial real estate in Volgograd region. The authors note that the resulting set of integrated strategic alternatives should remain in the process of continuous monitoring, which will allow responding quickly to the impact of changes in the company’s environment.

The Determinants of the Ex Ante Risk Premiumin Commercial Real Estate

2019 ◽  
Vol 41 (3) ◽  
pp. 411-441
Author(s):  
El i Beracha ◽  
Julia Freybote ◽  
Zhenguo Lin
Keyword(s):  
Real Estate ◽  
Risk Premium ◽  
Predictive Power ◽  
Real Estate Market ◽  
Commercial Real Estate ◽  
Stock Market Volatility ◽  
Switching Regression ◽  
Risk Premiums ◽  
Debt Capital ◽  
Ex Ante

We investigate the determinants of the ex ante risk premium in commercial real estate. Using a 20-year time series and Markov-switching regression, we find that the ex ante risk premium is affected by fundamental and non-fundamental determinants, albeit not symmetrically when risk premiums are increasing and decreasing. In particular, we find that changes in debt capital market conditions have a higher predictive power for changes in the ex ante risk premium when it is increasing, while changes in stock market volatility and commercial real estate market returns have a higher predictive power when the risk premium is on the decline. In addition, changes in commercial real estate sentiment and NAREIT returns can predict changes in the ex ante risk premium; however, the predictive power of these variables varies across property types and risk premium (risk perception) states.

A post-global financial crisis (GFC) framework for strategic planning, assessment and management decision making for US sustainable commercial real estate

2017 ◽  
Vol 35 (6) ◽  
pp. 589-618 ◽  
Author(s):  
Pernille Hoy Christensen
Keyword(s):  
Decision Making ◽  
Financial Crisis ◽  
Real Estate ◽  
Performance Indicators ◽  
Institutional Investors ◽  
Global Financial Crisis ◽  
Real Estate Market ◽  
Commercial Real Estate ◽  
Content Type ◽  
Sustainability Initiatives

Purpose The purpose of this paper is to understand both the facts and the values associated with the breadth of issues, and the principles related to sustainable real estate for institutional investors. Sustainable real estate is a growing sector within the commercial real estate industry, and yet, the decision-making practices of institutional investors related to sustainability are still not well understood. In an effort to fill that gap, this research investigates the post-global financial crisis (GFC) motivations driving the implementation of sustainability initiatives, the implementation strategies used, and the predominant eco-indicators and measures used by institutional investors. Design/methodology/approach This paper presents the results of a three-round modified Delphi study conducted in the USA in 2011-2012 investigating the nature of performance measurements and reporting requirements in sustainable commercial real estate and their impact on the real estate decision-making process used by institutional investors. Two rounds of in-depth interviews were conducted with 14 expert panelists. An e-questionnaire was used in the third round to verify qualitative findings. Findings The key industry drivers and performance indicators influencing institutional investor decision making were associated with risk management of assets and whether initiatives can improve competitive market advantage. Industry leaders advocate for simple key performance indicators, which is in contrast to the literature which argues for the need to adopt common criteria and metrics. Key barriers to the adoption of sustainability initiatives are discussed and a decision framework is presented. Practical implications This research aims to help industry partners understand the drivers motivating institutional investors to uptake sustainability initiatives with the aim of improving decision making, assessment, and management of sustainable commercial office buildings. Originality/value Building on the four generations of the sustainability framework presented by Simons et al. (2001), this research argues that the US real estate market has yet again adjusted its relationship with sustainability and revises their framework to include a new, post-GFC generation for decision making, assessment, and management of sustainable real estate.

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

2017 ◽  
Vol 35 (6) ◽  
pp. 619-637 ◽  
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.

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