Value added KPI service delivery with quality function deployment: Multiple case study in asset & real estate management

The aim of this study is to investigate value added service concept for an asset and real estate management case company. The initial purpose was to recognize the most value adding key performance indicators (KPIs) information delivered for its customers, real estate investors with value added service. The multiple case study strategy included two focus group interviews with five case interviews in total. Additionally, quality function deployment (QFD) was used in order to form up the service process. The study starts with introduction and methodology explaining the demand for the thesis study. The subsequent chapter presents the theoretical background on real estate management KPIs in four main points of views and quality function deployment from the service development point of view. The chapter also defines research gap for the case study. According to the case study interviews, the most favored KPIs to deliver for the clients are income maturity of lease agreements and leasing activity. These KPIs and quality characteristics are translated into the QFD. In total, the service QFD explains the service planning, process control, and action plan phases.

Risk management and the corporate real estate portfolio

In a global business economy, firms have a broad range of corporate real estate needs. During the past decade, multiple strategies and tactics have emerged in the corporate real estate community for meeting those needs. We propose here a framework for analysing and prioritising the various types of risk inherent in corporate real estate decisions. From a business strategy perspective, corporate real estate must serve needs beyond the simple one of shelter for the workforce and production process. Certain uses are strategic in that they allow access to externalities, embody the business strategy, or provide entrée to new markets. Other uses may be tactical, in that they arise from business activities of relatively short duration or provide an opportunity to pre-empt competitors. Still other corporate real estate uses can be considered “core” to the existence of the business enterprise. These might be special use properties or may be generic buildings that have become embodiments of the organisation’s culture. We argue that a multi-dimensional matrix approach organised around three broad themes and nine sub-categories allow the decision-maker to organise and evaluate choices with an acceptable degree of rigor and thoroughness. The three broad themes are Use (divided into Core, Cyclical or Casual) – Asset Type (which can be Strategic, Specialty or Generic) and Market Environment (which ranges from Mature Domestic to Emerging Economy). Proper understanding of each of these groupings brings critical variables to the fore and allows for efficient resource allocation and enhanced risk management.

Sector, region or function? A MAD reassessment of real estate diversification in Great Britain

This paper re-examines whether it is more advantageous in terms of risk reduction to diversify by sector or region by comparing the performance of the ‘conventional’ regional classification of the UK with one based on modern socio-economic criteria using a much larger real estate data set than any previous study and the MAD portfolio approach. The general conclusion of this analysis is that property market sectors still dominate regions, however defined and so should be the first level of analysis when developing a portfolio diversification strategy. This is in line with previous research. When the performance of Functional groups is compared with the ‘conventional’ administrative regions the results here show that, when functionally based, groupings can in some cases provide greater risk reduction. In addition the underlying characteristics of these functional groups may be much more insightful and acceptable to real estate portfolio managers in considering the assets that a portfolio might contain.

A meta analysis of real estate fund performance

This paper provides evidence regarding the risk-adjusted performance of 19 UK real estate funds in the UK, over the period 1991-2001. Using Jensen’s alpha the results are generally favourable towards the hypothesis that real estate fund managers showed superior risk-adjusted performance over this period. However, using three widely known parametric statistical procedures to jointly test for timing and selection ability the results are less conclusive. The paper then utilises the meta-analysis technique to further examine the regression results in an attempt to estimate the proportion of variation in results attributable to sampling error. The meta-analysis results reveal strong evidence, across all models, that the variation in findings is real and may not be attributed to sampling error. Thus, the meta-analysis results provide strong evidence that on average the sample of real estate funds analysed in this study delivered significant risk-adjusted performance over this period. The meta-analysis for the three timing and selection models strongly indicating that this out performance of the benchmark resulted from superior selection ability, while the evidence for the ability of real estate fund managers to time the market is at best weak. Thus, we can say that although real estate fund managers are unable to outperform a passive buy and hold strategy through timing, they are able to improve their risk-adjusted performance through selection ability.

Correlation shifts and real estate portfolio management

The success of any diversification strategy depends upon the quality of the estimated correlation between assets. It is well known, however, that there is a tendency for the average correlation among assets to increase when the market falls and vice-versa. Thus, assuming that the correlation between assets is a constant over time seems unrealistic. Nonetheless, these changes in the correlation structure as a consequence of changes in the market’s return suggests that correlation shifts can be modelled as a function of the market return. This is the idea behind the model of Spurgin et al (2000), which models the beta or systematic risk, of the asset as a function of the returns in the market. This is an approach that offers particular attractions to fund managers as it suggest ways by which they can adjust their portfolios to benefit from changes in overall market conditions. In this paper the Spurgin et al (2000) model is applied to 31 real estate market segments in the UK using monthly data over the period 1987:1 to 2000:12. The results show that a number of market segments display significant negative correlation shifts, while others show significantly positive correlation shifts. Using this information fund managers can make strategic and tactical portfolio allocation decisions based on expectations of market volatility alone and so help them achieve greater portfolio performance overall and especially during different phases of the real estate cycle.

Real estate portfolio construction and estimation risk

The use of MPT in the construction real estate portfolios has two serious limitations when used in an ex-ante framework: (1) the intertemporal instability of the portfolio weights and (2) the sharp deterioration in performance of the optimal portfolios outside the sample period used to estimate asset mean returns. Both problems can be traced to wide fluctuations in sample means Jorion (1985). Thus the use of a procedure that ignores the estimation risk due to the uncertain in mean returns is likely to produce sub-optimal results in subsequent periods. This suggests that the consideration of the issue of estimation risk is crucial in the use of MPT in developing a successful real estate portfolio strategy. Therefore, following Eun & Resnick (1988), this study extends previous ex-ante based studies by evaluating optimal portfolio allocations in subsequent test periods by using methods that have been proposed to reduce the effect of measurement error on optimal portfolio allocations.

Commercial real estate return distributions: a review of literature and empirical evidence

This paper review the literature on the distribution of commercial real estate returns. There is growing evidence that the assumption of normality in returns is not safe. Distributions are found to be peaked, fat-tailed and, tentatively, skewed. There is some evidence of compound distributions and non-linearity. Public traded real estate assets (such as property company or REIT shares) behave in a fashion more similar to other common stocks. However, as in equity markets, it would be unwise to assume normality uncritically. Empirical evidence for UK real estate markets is obtained by applying distribution fitting routines to IPD Monthly Index data for the aggregate index and selected sub-sectors. It is clear that normality is rejected in most cases. It is often argued that observed differences in real estate returns are a measurement issue resulting from appraiser behaviour. However, unsmoothing the series does not assist in modelling returns. A large proportion of returns are close to zero. This would be characteristic of a thinly-traded market where new information arrives infrequently. Analysis of quarterly data suggests that, over longer trading periods, return distributions may conform more closely to those found in other asset markets. These results have implications for the formulation and implementation of a multi-asset portfolio allocation strategy.

The inter-temporal stability of real estate returns: an empirical investigation

This paper examines one of the central issues in the formulation of a sector/regional real estate portfolio strategy, i.e. whether the means, standard deviations and correlations between the returns are sufficiently stable over time to justify using ex-post measures as proxies of the ex-ante portfolio inputs required for MPT. To investigate these issues this study conducts a number of tests of the inter-temporal stability of the total returns of the 19 sector/regions in the UK of the IPDMI. The results of the analysis reveal that the theoretical gains in sector and or regional diversification, found in previous work, could not have been readily achieved in practice without almost perfect foresight on the part of an investor as means, standard deviations and correlations, varied markedly from period to period.

Corporate real estate management in the retail sector: a study of the relationship between the management of the corporate real estate and corporate performance

Retail organisations have often been cited as being at the forefront of corporate real estate management. This research found that the retail sector can be characterised by diversity both in terms of the degree to which organisations are vertically integrated and in terms of the range of modes of retailing they engage in. This in turn led to highly diverse real estate portfolios. Given this diversity it may be surprising that the over riding strategy which the vast majority of sample firms adopted was focused on supporting the core retail activity. However the way in which they implement this strategy, again reflected the diversity in the sector. In terms of the future, the senior real estate managers were focusing on the medium term particularly looking at the way change would impact their functional strategy. This study provides a snap-shot of current practice and contributes to the debate however it also recognised that there is a need to answer the more fundamental questions.

Forecasting real estate returns using financial spreads

This paper examines the predictability of real estate asset returns using a number of time series techniques. A vector autoregressive model, which incorporates financial spreads, is able to improve upon the out of sample forecasting performance of univariate time series models at a short forecasting horizon. However, as the forecasting horizon increases, the explanatory power of such models is reduced, so that returns on real estate assets are best forecast using the long term mean of the series. In the case of indirect property returns, such short-term forecasts can be turned into a trading rule that can generate excess returns over a buy-and-hold strategy gross of transactions costs, although none of the trading rules developed could cover the associated transactions costs. It is therefore concluded that such forecastability is entirely consistent with stock market efficiency.

The blended approach to real estate allocations: performance implications of combining an exposure to German Spezialfonds with Global Listed Real Estate Securities

This paper seeks to increase the understanding of the performance implications for investors who choose to combine an unlisted real estate portfolio (in this case German Spezialfonds) with a (global) listed real estate element. We call this a “blended” approach to real estate allocations. For the avoidance of doubt, in this paper we are dealing purely with real estate equity (listed and unlisted) allocations, and do not incorporate real estate debt (listed or unlisted) or direct property into the process. A previous paper (Moss and Farrelly 2014) showed the benefits of the blended approach as it applied to UK Defined Contribution Pension Schemes. The catalyst for this paper has been the recent attention focused on German pension fund allocations, which have a relatively low (real estate) equity content, and a high bond content. We have used the MSCI Spezialfonds Index as a proxy for domestic German institutional real estate allocations, and the EPRA Global Developed Index as a proxy for a global listed real estate allocation. We also examine whether a rules based trading strategy, in this case Trend Following, can improve the risk adjusted returns above those of a simple buy and hold strategy for our sample period 2004-2015. Our findings are that by blending a 30% global listed portfolio with a 70% allocation (as opposed to a typical 100% weighting) to Spezialfonds, the real estate allocation returns increase from 2.88% p.a. to 5.42% pa. Volatility increases, but only to 6.53%., but there is a noticeable impact on maximum drawdown which increases to 19.4%. By using a Trend Following strategy raw returns are improved from 2.88% to 6.94% p.a. , The Sharpe Ratio increases from 1.05 to 1.49 and the Maximum Drawdown ratio is now only 1.83% compared to 19.4% using a buy and hold strategy . Finally, adding this (9%) real estate allocation to a mixed asset portfolio allocation typical for German pension funds there is an improvement in both the raw return (from 7.66% to 8.28%) and the Sharpe Ratio (from 0.91 to 0.98).

Diretrizes para o estabelecimento de parcerias entre empresas do real estate residencial.

O presente trabalho tem como foco o estudo e análise das alianças estratégicas realizadas entre empresas do setor do real estate, no período entre 2006 e 2010, enfatizando as alianças realizadas entre empresas atuantes predominantemente nas cidades de São Paulo e Rio de Janeiro com empresas atuantes nas regiões Norte e Nordeste do Brasil, cujo objetivo por parte das empresas paulistas foi o espalhamento geográfico. Considerando o volume representativo de alianças estratégicas verificado no setor no período em questão e a geração de resultados dos empreendimentos objetos de tais parcerias inferiores às expectativas estabelecidas, o objetivo do trabalho é a apresentação de um conjunto de diretrizes que possa contribuir para o planejamento, realização e condução de futuras parcerias entre empresas do setor, visando a mitigar dificuldades e a explorar da melhor forma possível os benefícios que as alianças estratégicas podem proporcionar. Para tanto, realizou-se uma pesquisa por meio de um estudo de casos múltiplos abrangendo o estudo de empresas de capital aberto que atuavam predominantemente nas capitais do eixo Rio-São Paulo, empresas atuantes em nível regional no Norte e Nordeste brasileiro que realizaram parcerias com as empresas do Sudeste, além de empresas de consultoria que estiveram envolvidas nas parcerias por meio de prestação de serviços. Tal pesquisa permitiu identificar as principais dificuldades, vantagens e desvantagens decorrentes das parcerias em questão, cujos dados foram analisados e discutidos à luz da revisão bibliográfica, embasando assim o conjunto de diretrizes proposto. As diretrizes apresentadas visam a contribuir com todo o processo que envolve a realização de uma parceria, contemplando desde aspectos de planejamento, gestão até aspectos operacionais e são complementadas por recomendações que somadas às diretrizes podem elevar a probabilidade de êxito das parcerias.

Análise da possível expansão internacional de empresas brasileiras de real estate residencial para o mercado costarriquenho, uma abordagem SWOT.

Devido ao crescimento e à experiência adquirida pelas empresas brasileiras de real estate residencial nos últimos anos, e às características próprias desse setor, os mercados internacionais poderiam ser considerados como possíveis alvos para essas empresas. Por exemplo, no mercado residencial costarriquenho, incentivos para projetos residenciais de alta densidade populacional, reformas nos processos para a obtenção dos alvarás de construção e mudanças demográficas e culturais, parecem propiciar um ambiente favorável para empresas dessa indústria. Portanto, o objetivo do presente trabalho é estudar uma possível expansão geográfica de empresas brasileiras de real estate no mercado residencial costarriquenho, a partir da estruturação de uma análise de abordagem SWOT dos elementos necessários para tal incursão. Para isso, realizou-se uma revisão bibliográfica na busca dos elementos estratégicos do ambiente interno de empresas de real estate residencial que devem ser considerados para processos de internacionalização, identificando-se 12 forças e 10 fraquezas desta revisão. Ademais, analisou-se: o mercado residencial; a macroeconomia, e as conjunturas político-legais e socioculturais da Costa Rica, na procura de fatores que devem ser tomados em conta por parte de empresas de real estate ao ingressar nesse país, distinguindo-se 24 oportunidades e 20 ameaças dessa análise. Para complementar o estudo, foi avaliada a atratividade do mercado residencial costarriquenho para receber investimentos por onze importantes empresas do setor de real estate residencial brasileiro, por meio de um questionário estruturado com os elementos identificados na primeira parte do trabalho. Os resultados mostraram que, no momento da avaliação, as empresas entrevistadas deram maior atenção ao tamanho do mercado e às características do sistema financeiro para o setor residencial, e identificaram a carência do conhecimento local e sua cultura empresarial, como os elementos que dificultariam sua internacionalização. Conclui-se sobre a possível internacionalização de empresas brasileiras de real estate residencial para o mercado da Costa Rica, que elementos desde uma perspectiva econômica racional e principalmente contingencial definem essa estratégia, não sendo viável nem vantajoso idealizar um processo de internacionalização nesse mercado, devido às atuais condições de seus mercados locais e aos elementos do ambiente interno que várias dessas empresas apresentam.