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Author: Roger Staiger
Publisher: Routledge
ISBN: 1317687094
Category : Business & Economics
Languages : en
Pages : 388
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Book Description
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: Routledge
ISBN: 1317687094
Category : Business & Economics
Languages : en
Pages : 388
Get Book Here
Book Description
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
ISBN: 1000859436
Category : Business & Economics
Languages : en
Pages : 563
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Book Description
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: David Hartzell
Publisher: John Wiley & Sons
ISBN: 1119526159
Category : Business & Economics
Languages : en
Pages : 596
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Book Description
The fully revised and updated version of the leading textbook on real estate investment, emphasising real estate cycles and the availability and flow of global capital Real Estate Investment remains the most influential textbook on the subject, used in top-tier colleges and universities worldwide. Its unique, practical perspective on international real estate investment focusses on real-world techniques which measure, benchmark, forecast and manage property investments as an asset class. The text examines global property markets and real estate cycles, outlines market fundamentals and explains asset pricing and portfolio theory in the context of real estate. In the years since the text’s first publication, conditions in global real estate markets have changed considerably following the financial crisis of 2008-2009. Real estate asset prices have increased past pre-crisis levels, signalling a general market recovery. Previously scarce debt and equity capital is now abundant, while many institutions once averse to acquiring property are re-entering the markets. The latest edition – extensively revised and updated to address current market trends and practices as well as reflect feedback from instructors and students – features new content on real estate development, improved practical examples, expanded case studies and more. This seminal textbook: Emphasises practical solutions to real investing problems rather than complex theory Offers substantial new and revised content throughout the text Covers topics such as valuation, leasing, mortgages, real estate funds, underwriting and private and public equity real estate Features up-to-date sections on performance measurement, real estate debt markets and building and managing real estate portfolios Includes access to a re-designed companion website containing numerous problems and solutions, presentation slides and additional instructor and student resources Written by internationally-recognised experts in capital management and institutional property investing strategies, Real Estate Investment, Second Edition: Strategies, Structures, Decisions is an indispensable textbook for instructors and students of real estate fund management, investment management and investment banking, as well as a valuable reference text for analysts, researchers, investment managers, investment bankers and asset managers.
Author: Peter Linneman
Publisher:
ISBN: 9781792331916
Category :
Languages : en
Pages :
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Book Description
Author: Mortgage Bankers Association of America
Publisher: Dearborn Real Estate
ISBN: 9780793157099
Category : Business & Economics
Languages : en
Pages : 140
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Book Description
Author: G. Jason Goddard
Publisher: Routledge
ISBN: 1000508560
Category : Business & Economics
Languages : en
Pages : 238
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Book Description
This is a practical and accessible guide for students, filled with international case studies, which illustrate the framework of the book (valuation under uncertainty), as well as, a host of discussion questions to aid learning. Provides a unique and more comprehensive approach than competing texts, explaining variations in valuation outcomes by drawing on the psychological foundations of valuation theory. For educators it will help to widen the lens on what truly should be considered when valuing property.
Author: Sotiris Tsolacos
Publisher: Routledge
ISBN: 1351359010
Category : Business & Economics
Languages : en
Pages : 327
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Book Description
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: Mohammad Zoynul Abedin
Publisher: Routledge
ISBN: 1000394123
Category : Business & Economics
Languages : en
Pages : 291
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Book Description
This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data. Business risk and uncertainty are two of the toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.
Author: Richard M. Levy
Publisher: Routledge
ISBN: 0429891148
Category : Architecture
Languages : en
Pages : 289
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Book Description
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: Mike Dempsey
Publisher: Routledge
ISBN: 0429754876
Category : Business & Economics
Languages : en
Pages : 377
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Book Description
This textbook is designed as a core text for finance courses that cover market investments, portfolio formation, and the management of investment portfolios. As such, the text seeks to convey insight and actual wisdom as to the nature of these activities. When combined with a commitment to thinking independently, the text offers the student a rigorous preparation for entry to the funds management industry. The text is presented in three parts. In Part A, the text introduces the fundamental techniques of investment analysis: a "bottom-up" and "top-down" analysis of the firm aimed at an evaluation of the underlying share as a "buy", "hold", or a "sell" recommendation. Part B offers the reader an intuitive grasp of the nature of investment growth, both across time and across assets. Part C introduces the reader to the technicalities of portfolio construction and portfolio management. The text concludes with an assessment of the funds management industry. The text builds in step-by-step stages with Illustrative Examples that consolidate the student’s progress and understanding through each chapter. Each of parts A, B, and C (above) has sufficient material to justify a separate course. If the student has exposure to a more foundational course in finance, Parts A and B can be covered as a single course. If from other courses, the student is familiar with the essence of Parts A and B and with statistical concepts, the text can be covered as a single course. The text can therefore be presented readily at either an undergraduate or postgraduate level at a pace appropriate to the student’s prior exposure to the concepts.
