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Foundations of Real Estate Financial Modelling

Foundations of Real Estate Financial Modelling
Author: Roger Staiger
Publisher: Routledge
Total Pages: 479
Release: 2015-04-10
Genre: Business & Economics
ISBN: 1317687094

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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.


Foundations of Real Estate Financial Modelling

Foundations of Real Estate Financial Modelling
Author: Roger Staiger
Publisher: Taylor & Francis
Total Pages: 563
Release: 2023-10-13
Genre: Business & Economics
ISBN: 1000859436

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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).


Foundations of Real Estate Financial Modelling

Foundations of Real Estate Financial Modelling
Author: Salvatore Smith
Publisher: Createspace Independent Publishing Platform
Total Pages: 298
Release: 2017-07-24
Genre:
ISBN: 9781977861184

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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.


Foundations of Real Estate Financial Modelling

Foundations of Real Estate Financial Modelling
Author: Roger P. Staiger (III)
Publisher:
Total Pages:
Release: 2015
Genre: Electronic books
ISBN: 9781317687085

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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:AmortizationSingle-F.


Real Estate Modelling and Forecasting

Real Estate Modelling and Forecasting
Author: Chris Brooks
Publisher: Cambridge University Press
Total Pages: 474
Release: 2010-04-15
Genre: Business & Economics
ISBN: 1139487167

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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.


Real Estate Investment and Finance

Real Estate Investment and Finance
Author: David Hartzell
Publisher: John Wiley & Sons
Total Pages: 596
Release: 2021-01-05
Genre: Business & Economics
ISBN: 1119526094

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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.


The Real Estate Game

The Real Estate Game
Author: William J Poorvu
Publisher: Simon and Schuster
Total Pages: 344
Release: 1999-09-13
Genre: Business & Economics
ISBN: 068485550X

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From a Harvard Business School professor comes a concise, accessible, state-of-the-art guide to developing and investing in real estate.


Foundations of Real Estate Financial Modelling

Foundations of Real Estate Financial Modelling
Author: Roger Staiger
Publisher: Routledge
Total Pages: 542
Release: 2018-05-11
Genre: Business & Economics
ISBN: 1351695126

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NAMED ONE OF THE BEST COMMERCIAL REAL ESTATE BOOKS BY THE MOTLEY FOOL Foundations of Real Estate Financial Modelling, Second Edition is specifically designed to provide the scalable basis of pro forma modelling for real estate projects. The book introduces students and professionals to the basics of real estate finance theory prior to providing a step-by-step guide for financial real estate model construction using Excel. The book introduces an innovative new financial metric, P(Gain), which quantifies the probability of a Return of Capital and answers the most basic question for investing, "What is the probability I get my money back?". This new second edition has been fully revised and expanded. The book is separated into three functional units: (1) Real Estate Valuation Basics, Theory and Skills, (2) Real Estate Pro Forma Modelling, (3) Real Estate Pro Forma (Enhancements). New and enhanced Chapters cover: Interest rates Amortization Single- and multi-family unit Development module Rent roll module Waterfall (equity bifurcation) Hotel, retail/office and townhouse. In addition, this new edition includes problem sets and solutions at the end of each chapter as well as case studies underpinning the chapter topics. Further chapters are dedicated to risk quantification and include scenario, stochastic and Monte Carlo simulations, equity waterfalls, and adding U.S. GAAP financial statements to existing real estate pro forma models. This book is the ideal textbook for a Real Estate Finance class, providing the theoretical basis of real estate finance as well as valuable modelling skills for the workplace. This book provides individuals with a step-by-step instruction on how to construct a real estate financial model starting with a new spreadsheet. The resultant model is portable, scalable, and modular. A companion website provides the pro forma models to readers as a reference for their own constructed models. Companion web material available at: https://pgainllc.com/


Managing Complexity

Managing Complexity
Author: G. Rzevski
Publisher: WIT Press
Total Pages: 217
Release: 2014-03-25
Genre: Computers
ISBN: 1845649362

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Managing Complexity is the first book that clearly defines the concept of Complexity, explains how Complexity can be measured and tuned, and describes the seven key features of Complex Systems: ConnectivityAutonomyEmergencyNonequilibriumNon-linearitySelf-organisationCo-evolution The thesis of the book is that complexity of the environment in which we work and live offers new opportunities and that the best strategy for surviving and prospering under conditions of complexity is to develop adaptability to perpetually changing conditions. An effective method for designing adaptability into business processes using multi-agent technology is presented and illustrated by several extensive examples, including adaptive, real-time scheduling of taxis, see-going tankers, road transport, supply chains, railway trains, production processes and swarms of small space satellites. Additional case studies include adaptive servicing of the International Space Station; adaptive processing of design changes of large structures such as wings of the largest airliner in the world; dynamic data mining, knowledge discovery and distributed semantic processing. Finally, the book provides a foretaste of the next generation of complex issues, notably, The Internet of Things, Smart Cities, Digital Enterprises and Smart Logistics.