Real Estate Modelling and Forecasting

Real Estate Modelling and Forecasting PDF Author: Chris Brooks
Publisher: Cambridge University Press
ISBN: 1139487167
Category : Business & Economics
Languages : en
Pages : 474

Get Book Here

Book Description
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 Modelling and Forecasting

Real Estate Modelling and Forecasting PDF Author: Chris Brooks
Publisher: Cambridge University Press
ISBN: 1139487167
Category : Business & Economics
Languages : en
Pages : 474

Get Book Here

Book Description
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.

Foundations of Real Estate Financial Modelling

Foundations of Real Estate Financial Modelling PDF 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.

Applied Quantitative Analysis for Real Estate

Applied Quantitative Analysis for Real Estate PDF Author: Sotiris Tsolacos
Publisher: Routledge
ISBN: 1351359002
Category : Business & Economics
Languages : en
Pages : 0

Get Book Here

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.

Machine Learning for Predictive Analysis

Machine Learning for Predictive Analysis PDF Author: Amit Joshi
Publisher: Springer Nature
ISBN: 9811571066
Category : Technology & Engineering
Languages : en
Pages : 627

Get Book Here

Book Description
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.

Real Estate Finance and Investments

Real Estate Finance and Investments PDF Author: Peter Linneman
Publisher:
ISBN: 9781792331916
Category :
Languages : en
Pages :

Get Book Here

Book Description


Handbook of Economic Forecasting

Handbook of Economic Forecasting PDF Author: Graham Elliott
Publisher: Elsevier
ISBN: 0444627405
Category : Business & Economics
Languages : en
Pages : 667

Get Book Here

Book Description
The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals. The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues. - Focuses on innovation in economic forecasting via industry applications - Presents coherent summaries of subjects in economic forecasting that stretch from methodologies to applications - Makes details about economic forecasting accessible to scholars in fields outside economics

Introduction to Real Estate Development and Finance

Introduction to Real Estate Development and Finance PDF Author: Richard M. Levy
Publisher: Routledge
ISBN: 0429891148
Category : Architecture
Languages : en
Pages : 289

Get Book Here

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.

Real Estate Investment and Finance

Real Estate Investment and Finance PDF Author: David Hartzell
Publisher: John Wiley & Sons
ISBN: 1119526094
Category : Business & Economics
Languages : en
Pages : 596

Get Book Here

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.

Economic Analysis of the Digital Economy

Economic Analysis of the Digital Economy PDF Author: Avi Goldfarb
Publisher: University of Chicago Press
ISBN: 022620684X
Category : Business & Economics
Languages : en
Pages : 510

Get Book Here

Book Description
There is a small and growing literature that explores the impact of digitization in a variety of contexts, but its economic consequences, surprisingly, remain poorly understood. This volume aims to set the agenda for research in the economics of digitization, with each chapter identifying a promising area of research. "Economics of Digitization "identifies urgent topics with research already underway that warrant further exploration from economists. In addition to the growing importance of digitization itself, digital technologies have some features that suggest that many well-studied economic models may not apply and, indeed, so many aspects of the digital economy throw normal economics in a loop. "Economics of Digitization" will be one of the first to focus on the economic implications of digitization and to bring together leading scholars in the economics of digitization to explore emerging research.

Applications of Artificial Intelligence and Machine Learning

Applications of Artificial Intelligence and Machine Learning PDF Author: Ankur Choudhary
Publisher: Springer Nature
ISBN: 9811630674
Category : Computers
Languages : en
Pages : 738

Get Book Here

Book Description
The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning applications in healthcare, agriculture, business, and security. This volume contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book will be a valuable resource for students, academics, and practitioners in the industry working on AI applications.