Real Estate Modelling And Forecasting

Author : Chris Brooks,Sotiris Tsolacos
Publisher : Cambridge University Press
Page : 474 pages
File Size : 50,7 Mb
Release : 2010-04-15
Category : Business & Economics
ISBN : 9781139487160

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Real Estate Modelling and Forecasting by Chris Brooks,Sotiris Tsolacos Pdf

As real estate forms a significant part of the asset portfolios of most investors and lenders, it is crucial that analysts and institutions employ sound techniques for modelling and forecasting the performance of real estate assets. Assuming no prior knowledge of econometrics, this book introduces and explains a broad range of quantitative techniques that are relevant for the analysis of real estate data. It includes numerous detailed examples, giving readers the confidence they need to estimate and interpret their own models. Throughout, the book emphasises how various statistical techniques may be used for forecasting and shows how forecasts can be evaluated. Written by a highly experienced teacher of econometrics and a senior real estate professional, both of whom are widely known for their research, Real Estate Modelling and Forecasting is the first book to provide a practical introduction to the econometric analysis of real estate for students and practitioners.

Author : Sotiris Tsolacos,Mark Andrew
Publisher : Routledge
Page : 310 pages
File Size : 51,8 Mb
Release : 2020-09-13
Category : Business & Economics
ISBN : 9781351359016

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Applied Quantitative Analysis for Real Estate by Sotiris Tsolacos,Mark Andrew Pdf

To fully function in today’s global real estate industry, students and professionals increasingly need to understand how to implement essential and cutting-edge quantitative techniques. This book presents an easy-to-read guide to applying quantitative analysis in real estate aimed at non-cognate undergraduate and masters students, and meets the requirements of modern professional practice. Through case studies and examples illustrating applications using data sourced from dedicated real estate information providers and major firms in the industry, the book provides an introduction to the foundations underlying statistical data analysis, common data manipulations and understanding descriptive statistics, before gradually building up to more advanced quantitative analysis, modelling and forecasting of real estate markets. Our examples and case studies within the chapters have been specifically compiled for this book and explicitly designed to help the reader acquire a better understanding of the quantitative methods addressed in each chapter. Our objective is to equip readers with the skills needed to confidently carry out their own quantitative analysis and be able to interpret empirical results from academic work and practitioner studies in the field of real estate and in other asset classes. Both undergraduate and masters level students, as well as real estate analysts in the professions, will find this book to be essential reading.

Author : Roger Staiger
Publisher : Routledge
Page : 479 pages
File Size : 49,7 Mb
Release : 2015-04-10
Category : Business & Economics
ISBN : 9781317687092

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Foundations of Real Estate Financial Modelling by Roger Staiger Pdf

Foundations of Real Estate Financial Modelling is specifically designed to provide an overview of pro forma modelling for real estate projects. The book introduces students and professionals to the basics of real estate finance theory before providing a step-by-step guide for financial model construction using Excel. The idea that real estate is an asset with unique characteristics which can be transformed, both physically and financially, forms the basis of discussion. Individual chapters are separated by functional unit and build upon themselves to include information on: Amortization Single-Family Unit Multi-Family Unit Development/Construction Addition(s) Waterfall (Equity Bifurcation) Accounting Statements Additional Asset Classes Further chapters are dedicated to risk quantification and include scenario, stochastic and Monte Carlo simulations, waterfalls and securitized products. This book is the ideal companion to core real estate finance textbooks and will boost students Excel modelling skills before they enter the workplace. The book provides individuals with a step-by-step instruction on how to construct a real estate financial model that is both scalable and modular. A companion website provides the pro forma models to give readers a basic financial model for each asset class as well as methods to quantify performance and understand how and why each model is constructed and the best practices for repositioning these assets.

Author : Roger Staiger
Publisher : Taylor & Francis
Page : 563 pages
File Size : 48,6 Mb
Release : 2023-10-13
Category : Business & Economics
ISBN : 9781000859430

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Foundations of Real Estate Financial Modelling by Roger Staiger Pdf

NAMED ONE OF THE BEST COMMERCIAL REAL ESTATE BOOKS BY THE MOTLEY FOOL "Staiger gives us the technical tools needed to build robust pro forma modeling around our real estate assets." –MillionAcres Now in its third edition, Foundations of Real Estate Financial Modelling equips a new generation of students and professionals with a resource MillionAcres guarantees they’ll "use throughout [their] commercial investing career[s]." Designed to provide increased scalable basis of pro forma modelling for real estate projects, this complete update and revision of the classic text offers a step-by-step introduction to building and understanding the models underlying investments in properties from single-family rentals to large-scale developments. Case studies drawn from the author’s storied investment career put models into real-world context while problem sets at the end of each chapter provide hands-on practice for learners at any stage of their real estate careers. This edition employs the innovative financial metric P(Gain) to quantify the probability of a Return of Capital, ensuring readers’ ability to answer the most fundamental question of investing—What is the probability I’ll get my money back? The fully revised and enhanced third edition is organized in three functional units: (1) Real Estate Valuation Basics, Theory, and Skills, (2) Real Estate Pro Forma Modelling, and (3) Real Estate Pro Forma (Enhancements). Chapters cover: Interest Rates (Prime, LIBOR, SOFR) Amortization (Cash-Out Refinance modelling) ADC (Acquisition, Development, Construction) Module Rent Roll Module (including seasonality) Waterfall Hotel Consolidation Stochastic Modelling and Optimization Additional chapters are dedicated to risk quantification and include scenario, stochastic, and Monte Carlo simulations, equity waterfalls, and integration of US GAAP financial statements. A companion website provides the real estate pro forma models to readers as a reference for their own constructed models, www.pgainllc.com. An ideal companion in the classroom and the boardroom, this new edition of Foundations of Real Estate Financial Modelling will make even novices the "experts in the room on [their] chosen asset class" (MillionAcres).

Author : Tony McGough,Sotiris Tsolacos
Publisher : Wiley-Blackwell
Page : 248 pages
File Size : 53,8 Mb
Release : 2005
Category : Real estate business
ISBN : 140512122X

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Real Estate Market Analysis and Forecasting by Tony McGough,Sotiris Tsolacos Pdf

The authors provide a descriptive account of the processes involved in property market forecasting, with a strong critical reflective element running through the chapters. A careful introduction is given to the technical issues of forecasting and then real estate topics are used to demonstrate practical applications. The book will start with an assumption of basic statistical knowledge and deal with the main modelling techniques in the real estate field. The aim is not to provide a mathematical analysis of modelling, but a guide to and assessment of standard modelling techniques. Econometrics is the applications of mathematical and statistical techniques to economics in the analysis of data, and the development and testing of theories and models. The use and abuse of econometrics in real estate will be discussed and new developments in modelling examined, as well as how these changes are being received in the real estate world.

Author : Ed Ross
Publisher : John Wiley & Sons
Page : 260 pages
File Size : 50,9 Mb
Release : 2008-06-02
Category : Business & Economics
ISBN : 9780470378915

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Forecasting for Real Estate Wealth by Ed Ross Pdf

Learn how to identify the bottom of your local real estate market and understand when to buy by using the tools and tips in Forecasting for Real Estate Wealth: Strategies for Outperforming Any Housing Market. Take advantage of the great deals created by falling real estate prices and discover the four questions every real estate investor must ask before buying, selling, or holding any property. With this guide, you can forecast the value of any property in 1 or 5 years, predict which investment property will give you maximum return, and secure low-cost financing.

Author : Nick French,Joseph Ooi,Masaki Mori
Publisher : Unknown
Page : 100 pages
File Size : 44,8 Mb
Release : 2015-07-06
Category : Electronic
ISBN : 1785605186

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Application of Quantitative Techniques to Real Estate by Nick French,Joseph Ooi,Masaki Mori Pdf

This eBook contains six chapters on the application of quantitative techniques to real estate, they are as follows:* 'To use or not to use; which type of property should you choose? Predicting the use of activity based offices' by Rianne Appel-Meulenbroek, Astrid Kemperman, Marleen Kleijn and Els Hendriks.* 'Property market modelling and forecasting: simple vs. complex models' by Arvydas Jadevicius and Simon Huston.* 'Comparing approaches to economic impact analysis of property redevelopment' by Christopher Hannum.* 'The long-term linkages between direct and indirect property in Australia' by Jaime Yong and Anh Khoi Pham.* A Practice Briefing on 'Real estate risk: heavy tail modelling using Excel' by Roger Brown and Beate Klingenberg. * An Education Briefing on 'The plethora of yields in property investment & finance: a summary' by Nick French and Michael Patrick.

Author : Amit Joshi,Mahdi Khosravy,Neeraj Gupta
Publisher : Springer Nature
Page : 627 pages
File Size : 53,5 Mb
Release : 2020-10-22
Category : Technology & Engineering
ISBN : 9789811571060

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Machine Learning for Predictive Analysis by Amit Joshi,Mahdi Khosravy,Neeraj Gupta Pdf

This book gathers papers addressing state-of-the-art research in the areas of machine learning and predictive analysis, presented virtually at the Fourth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2020), India. It covers topics such as intelligent agent and multi-agent systems in various domains, machine learning, intelligent information retrieval and business intelligence, intelligent information system development using design science principles, intelligent web mining and knowledge discovery systems.

Author : Rena Mourouzi-Sivitanidou
Publisher : Taylor & Francis
Page : 467 pages
File Size : 45,8 Mb
Release : 2020-08-06
Category : Architecture
ISBN : 9781000063141

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Market Analysis for Real Estate by Rena Mourouzi-Sivitanidou Pdf

Market Analysis for Real Estate is a comprehensive introduction to how real estate markets work and the analytical tools and techniques that can be used to identify and interpret market signals. The markets for space and varied property assets, including residential, office, retail, and industrial, are presented, analyzed, and integrated into a complete understanding of the role of real estate markets within the workings of contemporary urban economies. Unlike other books on market analysis, the economic and financial theory in this book is rigorous and well integrated with the specifics of the real estate market. Furthermore, it is thoroughly explained as it assumes no previous coursework in economics or finance on the part of the reader. The theoretical discussion is backed up with numerous real estate case study examples and problems, which are presented throughout the text to assist both student and teacher. Including discussion questions, exercises, several web links, and online slides, this textbook is suitable for use on a variety of degree programs in real estate, finance, business, planning, and economics at undergraduate and MSc/MBA level. It is also a useful primer for professionals in these disciplines.

Author : Xiaolong Li
Publisher : Springer Nature
Page : 2095 pages
File Size : 40,9 Mb
Release : 2024-05-26
Category : Electronic
ISBN : 9789819705238

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Proceedings of the 7th International Conference on Economic Management and Green Development by Xiaolong Li Pdf

Author : Thomas F. Flynn
Publisher : Universal-Publishers
Page : 379 pages
File Size : 50,9 Mb
Release : 2011-04
Category : Business & Economics
ISBN : 9781599423944

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Development of a Forecasting Model to Predict the Downturn and Upturn of a Real Estate Market in the Inland Empire by Thomas F. Flynn Pdf

Amidst the dramatic real estate fluctuations in the first decade of the twenty-first century, this study recognized that there is a necessity to create a real estate prediction model for future real estate ventures and prevention of losses such as the mortgage meltdown and housing bust. This real estate prediction model study sought to reinstall the integrity into the American building and development industry, which was tarnished by the sudden emergence of various publications offering get-rich-quick schemes. In the fast-paced and competitive world of lending and real estate development, it is becoming more complex to combine current and evolving factors into a profitable business model. This prediction model correlated past real estate cycle pinpoints to economical driving forces in order to create an ongoing formula. The study used a descriptive, secondary interpretation of raw data already available. Quarterly data was taken from the study's seven independent variables over a 24-year span from 1985 to 2009 to examine the correlation over two real estate cycles. Public information from 97 quarters (1985-2009) was also gathered on seven topics: consumer confidence, loan origination volume, construction employment statistics, migration, GDP, inflation, and interest rates. The Null hypothesis underwent a test of variance at a .05 level of significance. Multiple regression analysis uncovered that four of seven variables have correlated and could predict movement in real estate cycle evidence from previous data, based in the Inland Empire. GDP, interest rates, loan origination volume, and inflation were the four economical driving variables that completed the Inland Empire's real estate prediction model and global test. Findings from this study certify that there is correlation between economical driving factors and the real estate cycle. These correlations illustrate patterns and trends, which can become a prediction model using statistics. By interpreting and examining the data, this study believes that the prediction model is best utilized through pinpointing an exact numerical location by running calculations through the established global equation, and recommends further research and regular update of quarterly trends and movements in the real estate cycle and specific variables in the formula.

Author : Michael Ball,Colin Lizieri,Bryan MacGregor
Publisher : Routledge
Page : 420 pages
File Size : 48,5 Mb
Release : 2012-10-12
Category : Business & Economics
ISBN : 9781134749669

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The Economics of Commercial Property Markets by Michael Ball,Colin Lizieri,Bryan MacGregor Pdf

This new text provides a rigorous analysis of real estate markets. Three main sections cover: microeconomics of property markets the macroeconomics of commercial property the financial economics of property Global empirical examples illustrate the theories and issues. This often complex area is made accessible: each chapter contains a boxed summary and questions for self-testing or discussion.

Author : Stefano Stanghellini,Pierluigi Morano,Marta Bottero,Alessandra Oppio
Publisher : Springer
Page : 326 pages
File Size : 55,5 Mb
Release : 2016-12-29
Category : Science
ISBN : 9783319496764

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Appraisal: From Theory to Practice by Stefano Stanghellini,Pierluigi Morano,Marta Bottero,Alessandra Oppio Pdf

This book documents the state of the art and the emerging operational perspectives in the field of the appraisal discipline. It covers a wide range of topics, including energy efficiency, environmental sustainability, socio-economic evaluation of regional and urban transformations, real estate and facility management, risk management. It also discusses the potential role of appraisal in minimising unexpected consequences; the role of evaluators in urban development projects as well as the contribution of several methodologies with respect to the overall planning and design processes; the need to manage the complexity of the current decision contexts, while at the same time promoting efficient and effective evaluation processes; improving the quality of discussion and communication of the outcomes of evaluation processes; as well as the appropriateness of current regulation and policy regimes (EU, national, regional etc.). It comprises a selection of the best papers presented at the SIEV 2015 conference "Appraisal: Current Issues and Problems", which was held in Bari, Italy, in July 2015, and brought together architects, engineers, urban planners, decision-makers and government representatives.

Author : Richard M. Levy
Publisher : Routledge
Page : 291 pages
File Size : 49,7 Mb
Release : 2019-11-05
Category : Architecture
ISBN : 9780429891137

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Introduction to Real Estate Development and Finance by Richard M. Levy Pdf

This book provides readers with a basic understanding of the principles that underlie real estate development. A brief historical overview and an introduction to basic principles are followed by examples from practice. Case studies focus on how cities change and respond to the economic, technological, social, and political forces that shape urban development in North America. It is important to have a framework for understanding the risks and rewards in real estate investing. In measuring return, consideration must be given to both investment appreciation and the cash flow generated over the life of a project. In addition, metrics are presented that can be useful in assessing the financial feasibility of a real estate development proposal. This book also provides an overview of the forces of supply and demand that gauge the potential market for a new project. In determining the size of “residual demand”, estimates for population growth, family formation, and new development are important. All development projects fall under the auspices of one or several jurisdictions. Though every jurisdiction has different rules and procedures, basic knowledge of the planning process is critical to the success of all development projects regardless of location. Furthermore, all projects have a legal component. Basic issues of land ownership, property rights, property transfer, and land registration are reviewed, all of which need to be considered when a property is sold or purchased. This book also provides a primary on the design and construction process. In constructing a building, a team of experts is first required to design the architectural, structural, and heating, ventilation, and air conditioning (HVAC) systems for a building. An overview is provided of each building system: wood, concrete, and steel. Critical to a successful real estate development, project management principles for the processes of design, bidding, and construction are explored, with close attention given to budgeting, scheduling, and resource management. Essential reading for anyone involved in the development of our built environment, this is a must-read introduction for students and professionals in architecture, urban planning, engineering or real estate seeking an approachable and broad view of real estate development and finance.

Author : Peter Linneman,Bruce Kirsch
Publisher : Unknown
Page : 128 pages
File Size : 49,9 Mb
Release : 2021-09-21
Category : Electronic
ISBN : 1792377134

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Real Estate Finance and Investments: Risks and Opportunities by Peter Linneman,Bruce Kirsch Pdf