Last will and testament of George Washington, of Mount Vernon , the only authenticated copy, full and complete, embracing a schedule of his real estate,

Presented by Mr. Heyburn. Ordered to be printed, August 5, 1911.

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

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.

Towards an Understanding of Lodging Asset Management and its Components

Lodging asset management has emerged as one of the most important areas of strategic hotel management. Increasingly, lodging companies are soliciting the services of asset management firms or developing internal asset management competencies. This article synthesizes and discusses the essential components of dynamic lodging asset management. The article provides a detail background on asset management and its importance and explains the role of lodging asset managers and their working relationships with ownership and operators. The article also discusses the competencies and skills of asset managers.

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.

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.

Autonomous Vehicles and Commercial Real Estate

Hardly a day goes by without the release of a handful of news stories about autonomous vehicles (or AVs for short). The proverbial “tipping point” of awareness has been reached in the public consciousness as AV technology is quickly becoming the new focus of firms from Silicon Valley to Detroit and beyond. Automation has, and will continue to have far-reaching implications for many human activities, but for driving, the technology is here. Google has been in talks with automaker Ford (1), Elon Musk has declared that Tesla will have the appropriate technology in two years (2), GM is paired-up with Lyft (3), Uber is in development-mode (4), Microsoft and Volvo have announced a partnership (5), Apple has been piloting its top-secret project “Titan” (6), Toyota is working on its own technology (7), as is BMW (8). Audi (9) made a splash by sending a driverless A7 concept car 550 miles from San Francisco to Las Vegas just in time to roll-into the 2016 Consumer Electronics Show. Clearly, the race is on.

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.

Construcción y explotación de un almacén de datos para el análisis de información inmobiliaria

El objetivo de este Trabajo Final de Carrera (TFC) es consolidar los conocimientos adquiridos a lo largo de nuestros estudios de Ingeniería Técnica en Informática de Sistemas. Es un documento que contiene el enunciado de un problema del mundo real, que se describe, desgrana, analiza, etc, y que al final se detalla la solución técnica final escogida. Este Trabajo Final de Carrera, a partir de ahora TFC, está enmarcado dentro del área de Almacenes de Datos, utilizando el siguiente software: ORACLE EXPRESS v10.2.0.1 y SQL DEVELOPER. La empresa inmobiliaria Un Techo para Todos, tiene un catalogo de inmuebles de España y Andorra. Necesitan un sistema de información que le permita comparar diferentes zonas, tipos de pisos y precios, para intentar ser más eficientes ajustando la oferta y la demanda, y por consiguiente obteniendo mayores beneficios. El principal problema que nos plantean es que aunque disponen de mucha información, esta no la tienen integrada en un sistema informático optimo( lo tienen en unas hojas de Excel), por lo que no pueden sacarle el rendimiento adecuado.