Essays on city size distribution and real estate bubbles

This is a dissertation about urban systems; within this broad subject I tackle three issues, one that focuses on an observed inter-city relationship and two that focus on an intra-city phenomenon. In Chapter II I adapt a model of random emergence of economic opportunities from the firm growth literature to the urban dynamics situation and present several predictions for urban system dynamics. One of these predictions is that the older the city the larger and more diversified it is going to be on average, which I proceed to verify empirically using two distinct datasets. In Chapter III I analyze the Residential Real Estate Bubble that took place in Miami-Dade County from 1999 to 2006. I adopt a Spatial-Economic model developed for the Paris Bubble episode of 1984–1993 and formulate an innovative test of the results in terms of speculative intensity on the basis of proxies of investor activity available in my dataset. My results support the idea that the best or more expensive areas are also where the greatest speculative activity takes place and where the rapid increase in prices begins. The most significant departure from previous studies that emerges in my results is the absence of a wider gap between high priced areas and low priced areas in the peak year. I develop a measure of dispersion in value among areas and contrast the Miami-Dade and Paris episodes. In Chapter IV I analyze the impact on tax equity of a Florida tax-limiting legislation known as Save Our Homes. I first compare homesteaded and non-homesteaded properties, and second, look within the subset of homesteaded properties. I find that non-homesteaded properties increase their share of taxes paid relative to homesteaded properties during an up market, but that this is reversed during a down market. For the subset of homesteaded properties I find that the impact on tax equity of SOH will depend on differential growth rates among higher and lower valued homes, but during times of rapid home price appreciation, in a scenario of no differential growth rates in property values, SOH increases progressivity relative to the prior system.

Innovative real estate development finance – evidence from Europe

The authors would like to thank the Royal Institution of Chartered Surveyors (RICS) for their financial support of the project and the numerous respondents who gave so freely of their time.

Real Estate Research in Europe

Peer reviewed

Risk factors of European non-listed real estate fund returns

Acknowledgements: We thank INREV (the European Association for Investors in Non-Listed Real Estate Vehicles) for funding a previous version of this research and providing non-listed fund data as well as very useful comments. This version is published as Delfim, J.-C. and Hoesli, M., 2015, Risk Factor Analysis of European Non-Listed Real Estate Funds, Amsterdam: INREV. The usual disclaimer applies. We also thank three anonymous reviewers and the guest editor, Graeme Newell, for insightful remarks.

Technology is Set to Change Real Estate Forever

Major developments in the technological environment can become commonplace very quickly. They are now impacting upon a broad range of information-based service sectors, as high growth Internet-based firms, such as Google, Amazon, Facebook and Airbnb, and financial technology (Fintech) start-ups expand their product portfolios into new markets. Real estate is one of the information-based service sectors that is currently being impacted by this new type of competitor and the broad range of disruptive digital technologies that have emerged. Due to the vast troves of data that these Internet firms have at their disposal and their asset-light (cloud-based) structures, they are able to offer highly-targeted products at much lower costs than conventional brick-and-mortar companies.

Living with Terminal Capitalization Rates: A Look at Real Estate Valuation Model Parameter Setting

This paper examines assumptions about future prices used in real estate applications of DCF models. We confirm both the widespread reliance on an ad hoc rule of increasing period-zero capitalization rates by 50 to 100 basis points to obtain terminal capitalization rates and the inability of the rule to project future real estate pricing. To understand how investors form expectations about future prices, we model the spread between the contemporaneously period-zero going-in and terminal capitalization rates and the spread between terminal rates assigned in period zero and going-in rates assigned in period N. Our regression results confirm statistical relationships between the terminal and next holding period going-in capitalization rate spread and the period-zero discount rate, although other economically significant variables are statistically insignificant. Linking terminal capitalization rates by assumption to going-in capitalization rates implies investors view future real estate pricing with myopic expectations. We discuss alternative specifications devoid of such linkage that align more with a rational expectations view of future real estate pricing.

2016 Real Estate Industry Leader Profile: MaryAnne Gilmartin

[Excerpt] Cornell University and the Baker Program in Real Estate are pleased to announce the 2016 Real Estate Industry Leader Award recipient: MaryAnne Gilmartin, President & CEO of Forest City Ratner Companies. MaryAnne’s leadership in the real estate industry has made a powerful and positive impact on society as a driving force behind several of the highest-profile, largest-scale additions to the urban landscape of New York City.

Findings from the 2015 Institutional Real Estate Capital Allocations Monitor

Since 2013, the Baker Program in Real Estate and Hodes Weill & Associates have co-sponsored the Institutional Real Estate Capital Allocations Monitor (the “Allocations Monitor”). The Allocations Monitor was created to conduct a comprehensive annual assessment of institutional allocations to real estate investments through analyzing trends and collecting survey responses of institutional portfolios and allocations by region, type, and size of institution. The Allocations Monitor reports on the role of real estate investments in institutional portfolios, and the impact of institutional allocation trends on the investment management industry.

Real Estate Case Competitions

Real Estate is by nature a hands-on business in which real-world experience and new challenges are the best teacher. With this in mind, graduate real estate education has embraced case competitions as a way to apply education-based learning to real world project simulation. In recent years, teams from Cornell have consistently stood out in these competitions, making impressions and forming relationships that they will carry with them over their careers. In this issue of the Review, we recognize a composite of previous winners of the four major real estate-focused case competitions, and look back on what was a very successful year for case competition teams at Cornell. The case competitions draw students from all the constituent programs of Real Estate at Cornell, including the Baker Program, Johnson Graduate School of Management, City and Regional Planning, Architecture, and Landscape Architecture.

Joint Leverage and Maturity Choices in Real Estate Firms: The Role of the REIT Status

We explore the interdependence of leverage and debt maturity choices in Real Estate Investment Trusts (REITs) and unregulated listed real estate investment companies in the U.S. for the period 1973-2011. We find that the leverage and maturity choices of all listed real estate firms are interdependent, but in contrast to industrial firms, they are not made simultaneously. Across the different types of real estate firms considered, we find substantial differences in the nature of the relationship between leverage and maturity. Leverage determines maturity in non-REITs, whereas maturity is a determinant of leverage in REITs. We suggest that the observed differences reflect the effects of the REIT regulation, rather than solely being a function of real estate as the underlying asset class. We also present novel evidence that the relationship between leverage and maturity in both firm types can be used to moderate the effects of other exogenous financing policies.

Macroeconomic Risk Factors and the Role of Mispriced Credit in the Returns from International Real Estate Securities

The benefits of diversification from international real estate securities are generally well established. However, the drivers of international real estate securities returns are insufficiently understood. We jointly examine the empirical implications of three major international asset pricing models that account for broad macroeconomic risk factors. In addition, we develop the hypothesis that an indicator of mispriced credit is significant in explaining the time series variation in international real estate securities returns. We employ the returns generated by a large sample of firms from 20 countries over the period 1999 to 2011 to test our hypothesis. We find support for the predictions of the major international asset pricing models. We also find evidence in favour of our hypothesised link between local credit conditions and the performance of international real estate securities.

On the Capital Structure of Real Estate Firms

The leverage and debt maturity choices of real estate companies are interdependent, and are not made separately as is often assumed in the literature. We use three-stage least squares (3SLS) regression analysis to explore this interdependence for a sample of listed U.S. real estate companies and Real Estate Investment Trusts (REITs) traded between 1973 and 2006.We find substantial differences in the nature of the relationship between leverage and maturity for the two firm types. Leverage is a determinant of maturity for non-REITs, whereas maturity is a determinant of leverage for REITs. We also find that the drivers of capital structure choices in real estate companies and REITs clearly reflect the effects of the REIT regulation.

Auction sale to close estate of Mary P. Chrystie, dec'd, 23 building plots, also Harlem River water front, near Morris Heights stations, N.Y. Central and N.Y. & Northern railroads : Wednesday, November 22d, 1893, at 12 o'clock noon at no. 111 Broadway, New York Real Estate salesroom : by order of Morris & Steele, attorneys ... New York City /

Street map showing properties to be sold, existing buildings (some with owners' names), and railroad stations.

Improving the Efficiency of the South Carolina Real Estate Commission's License Renewal Process

The goal of this project is to increase the amount of successful real estate license renewals while reducing the disruption caused by manual processing and calls for assistance with renewals and technical issues. The data utilized in this project will demonstrate that the Real Estate Commission renewal process can be improved by utilizing electronic resources such as more detailed website information and repeat e-mail notices, through modifications to the online renewal process to reduce applicant error, and by increasing the visibility of online renewal log-in instructions while decreasing the visibility and use of mail-in applications.