Real Estate or Business Page Release

Title Varies: No. 1-2 Issued Without Title; No. 3-22, Special Release; No. 23-30, Special Release To Real Estate Editors; No. 31-70, Real Estate Release; No. 71a-121 Special Release Real Estate or Business Page

Corporate real estate strategies - a multinational approach

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Summary of Real Estate Assessment, 2009

The most important aspect of property taxation is the concept that all property should be valued for tax purposes on a uniform basis so that the actual property tax burden can be distributed equitably among individual property owners. One of the most widely used and accepted methods of determining relative levels and uniformity of assessments is the assessment/sales ratio study. Such a study, in its most fundamental analysis, is the comparison of the assessed value of an individual property to its sale price. For example, a property assessed at $12,000 which sold for $26,000 would have an assessment/sales ratio of 46% ($12,000 ÷ $26,000). The purpose of this study is to provide assessment/sales ratio information that may be utilized by property tax administrators, local assessing officials, and interested taxpayers in examining the relative levels and uniformity of assessments throughout the State of Iowa. After further refinement, the study is one factor considered by the Director of Revenue in the biennial equalization of assessments.

Summary of Real Estate Assessment, 2008

The most important aspect of property taxation is the concept that all property should be valued for tax purposes on a uniform basis so that the actual property tax burden can be distributed equitably among individual property owners. One of the most widely used and accepted methods of determining relative levels and uniformity of assessments is the assessment/sales ratio study. Such a study, in its most fundamental analysis, is the comparison of the assessed value of an individual property to its sale price. For example, a property assessed at $12,000 which sold for $26,000 would have an assessment/sales ratio of 46% ($12,000 ÷ $26,000). The purpose of this study is to provide assessment/sales ratio information that may be utilized by property tax administrators, local assessing officials, and interested taxpayers in examining the relative levels and uniformity of assessments throughout the State of Iowa. After further refinement, the study is one factor considered by the Director of Revenue in the biennial equalization of assessments.

Broadside advertising a Real Estate Auction in the Village of Niagara Falls [New York], July, 1836.

Benjamin Rathburn (1790-1873) was a builder, banker and hotel-keeper who was well-known for his work in the development and expansion of Buffalo in the 1830s. He also conducted business in the Village of Niagara Falls. He purchased large tracts of land (largely on credit) with the intent to sell the land at a profit. However, the sales did not meet his expectations and Rathburn found himself over-extended on credit, ultimately leading to his financial ruin.Jesse P. Haines (1793-1877) was an American cartographer who is credited with mapping the Villages of Lockport and Niagara Falls, New York.

Broadside advertising a Real Estate Auction in the Village of Niagara Falls [New York], July, 1836.

Benjamin Rathburn (1790-1873) was a builder, banker and hotel-keeper who was well-known for his work in the development and expansion of Buffalo in the 1830s. He also conducted business in the Village of Niagara Falls. He purchased large tracts of land (largely on credit) with the intent to sell the land at a profit. However, the sales did not meet his expectations and Rathburn found himself over-extended on credit, ultimately leading to his financial ruin. Jesse P. Haines (1793-1877) was an American cartographer who is credited with mapping the Villages of Lockport and Niagara Falls, New York.

Decision theory and real estate development: a note on uncertainty

Real estate development appraisal is a quantification of future expectations. The appraisal model relies upon the valuer/developer having an understanding of the future in terms of the future marketability of the completed development and the future cost of development. In some cases the developer has some degree of control over the possible variation in the variables, as with the cost of construction through the choice of specification. However, other variables, such as the sale price of the final product, are totally dependent upon the vagaries of the market at the completion date. To try to address the risk of a different outcome to the one expected (modelled) the developer will often carry out a sensitivity analysis on the development. However, traditional sensitivity analysis has generally only looked at the best and worst scenarios and has focused on the anticipated or expected outcomes. This does not take into account uncertainty and the range of outcomes that can happen. A fuller analysis should include examination of the uncertainties in each of the components of the appraisal and account for the appropriate distributions of the variables. Similarly, as many of the variables in the model are not independent, the variables need to be correlated. This requires a standardised approach and we suggest that the use of a generic forecasting software package, in this case Crystal Ball, allows the analyst to work with an existing development appraisal model set up in Excel (or other spreadsheet) and to work with a predetermined set of probability distributions. Without a full knowledge of risk, developers are unable to determine the anticipated level of return that should be sought to compensate for the risk. This model allows the user a better understanding of the possible outcomes for the development. Ultimately the final decision will be made relative to current expectations and current business constraints, but by assessing the upside and downside risks more appropriately, the decision maker should be better placed to make a more informed and “better”.

Real estate capital flows and transitional economies

reign real estate capital was a major source of financing domestic property market office construction in Central Europe after the fall of the Berlin Wall in 1989. During the 1990s, over 800 office buildings were either newly constructed or refurbished in Budapest, Prague and Warsaw. The primary focus of this analysis is explaining the spatial construction and redevelopment patterns of the post-1989 office buildings in these cities. Secondarily, we analyze the correlation of foreign direct investment flows to annual construction of office buildings. We seek to explain the location of new or refurbished office buildings in the central business district (CBD) or in non-CBD locations in terms of the effect of time, size of property and other variables, and test whether there is a positive correlation relationship of foreign direct investment flows and new office construction or refurbishment. Integrating relevant foreign direct investment (FDI), economic geography and property theories in the research, the authors attempt to bridge existing gaps in the literature.

Forecasting UK real estate cycle phases with leading indicators: a probit approach

This paper examines the significance of widely used leading indicators of the UK economy for predicting the cyclical pattern of commercial real estate performance. The analysis uses monthly capital value data for UK industrials, offices and retail from the Investment Property Databank (IPD). Prospective economic indicators are drawn from three sources namely, the series used by the US Conference Board to construct their UK leading indicator and the series deployed by two private organisations, Lombard Street Research and NTC Research, to predict UK economic activity. We first identify turning points in the capital value series adopting techniques employed in the classical business cycle literature. We then estimate probit models using the leading economic indicators as independent variables and forecast the probability of different phases of capital values, that is, periods of declining and rising capital values. The forecast performance of the models is tested and found to be satisfactory. The predictability of lasting directional changes in property performance represents a useful tool for real estate investment decision-making.

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.