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Applied Quantitative Analysis for Real Estate

Author: Sotiris Tsolacos

Publisher: Routledge

Published: 2020-09-13

Total Pages: 310

ISBN-13: 1351359010

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.

Real Estate Mathematics

Author: David Lynn

Publisher:

Published: 2011

Total Pages: 237

ISBN-13: 9781904696933

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Real Estate Market Research and Analysis

Author: C. Nygaard

Publisher: Red Globe Press

Published: 2003-04-24

Total Pages: 232

ISBN-13: 9780333980866

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Real estate market research and analysis often draws on theory and techniques borrowed from other disciplines; in particular economics, finance and geography. Few textbooks recognise this, which makes Real Estate Market Research and Analysis a unique and innovative read. This accessible text provides a general overview of research philosophy and research practise in the real estate economics discipline. A range of applied quantitative empirical methods, commonly used in both academic and applied real estate market research and analysis, are examined as well as selected research-based studies which demonstrate how these methods are applied. Recent trends and developments in the evolving real estate economics research agenda are also explored. This book is aimed at both undergraduate students and practitioners in the commercial property and real estate sector. It is essential reading for modules on general practice surveying. It sets out the means and methods by which a commercial property rent model should be constructed and estimated, and provides a helpful guide to good property market research practise. Key features include; a Foreword by Dr Craig Watkins at the University of Aberdeen, and a Glossary of property and economic research terms.

Real Estate Analysis in the Information Age

Author: Kimberly Winson-Geideman

Publisher: Routledge

Published: 2017-11-09

Total Pages: 164

ISBN-13: 1315311127

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The creation, accumulation, and use of copious amounts of data are driving rapid change across a wide variety of industries and academic disciplines. This ‘Big Data’ phenomenon is the result of recent developments in computational technology and improved data gathering techniques that have led to substantial innovation in the collection, storage, management, and analysis of data. Real Estate Analysis in the Information Age: Techniques for Big Data and Statistical Modeling focuses on the real estate discipline, guiding researchers and practitioners alike on the use of data-centric methods and analysis from applied and theoretical perspectives. In it, the authors detail the integration of Big Data into conventional real estate research and analysis. The book is process-oriented, not only describing Big Data and associated methods, but also showing the reader how to use these methods through case studies supported by supplemental online material. The running theme is the construction of efficient, transparent, and reproducible research through the systematic organization and application of data, both traditional and 'big'. The final chapters investigate legal issues, particularly related to those data that are publicly available, and conclude by speculating on the future of Big Data in real estate.

Real Estate Modelling and Forecasting

Author: Chris Brooks

Publisher: Cambridge University Press

Published: 2010-04-15

Total Pages: 474

ISBN-13: 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.

Private Real Estate Investment

Author: Roger J. Brown

Publisher: Elsevier

Published: 2005-03-29

Total Pages: 307

ISBN-13: 0080480365

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Fiduciary responsibilities and related court-imposed liabilities have forced investors to assess market conditions beyond gut level, resulting in the development of sophisticated decision-making tools. Roger Brown's use of historical real estate data enables him to develop tools for gauging the impact of circumstances on relative risk. His application of higher level statistical modeling to various aspects of real estate makes this book an essential partner in real estate research. Offering tools to enhance decision-making for consumers and researchers in market economies of any country interested in land use and real estate investment, his book will improve real estate market efficiency. With property the world's biggest asset class, timely data on housing prices just got easier to find and use. Excellent mixture of theory and application Data and database analysis techniques are the first of their kind

Applied Quantitative Finance

Author: Wolfgang Karl Härdle

Publisher: Springer

Published: 2017-08-02

Total Pages: 372

ISBN-13: 3662544865

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This volume provides practical solutions and introduces recent theoretical developments in risk management, pricing of credit derivatives, quantification of volatility and copula modeling. This third edition is devoted to modern risk analysis based on quantitative methods and textual analytics to meet the current challenges in banking and finance. It includes 14 new contributions and presents a comprehensive, state-of-the-art treatment of cutting-edge methods and topics, such as collateralized debt obligations, the high-frequency analysis of market liquidity, and realized volatility. The book is divided into three parts: Part 1 revisits important market risk issues, while Part 2 introduces novel concepts in credit risk and its management along with updated quantitative methods. The third part discusses the dynamics of risk management and includes risk analysis of energy markets and for cryptocurrencies. Digital assets, such as blockchain-based currencies, have become popular b ut are theoretically challenging when based on conventional methods. Among others, it introduces a modern text-mining method called dynamic topic modeling in detail and applies it to the message board of Bitcoins. The unique synthesis of theory and practice supported by computational tools is reflected not only in the selection of topics, but also in the fine balance of scientific contributions on practical implementation and theoretical concepts. This link between theory and practice offers theoreticians insights into considerations of applicability and, vice versa, provides practitioners convenient access to new techniques in quantitative finance. Hence the book will appeal both to researchers, including master and PhD students, and practitioners, such as financial engineers. The results presented in the book are fully reproducible and all quantlets needed for calculations are provided on an accompanying website. The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allows readers to reproduce the tables, pictures and calculations inside this Springer book.

Real Estate Mathematics

Author: David Lynn

Publisher:

Published: 2011

Total Pages: 517

ISBN-13: 9781908783523

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Applied analytics for private real estate Understanding the mathematics of real estate is an essential requirement to making any investment decision. With real estate markets improving and opportunities arising again after the recent economic downturn, the need to accurately analyse and calculate investments is greater than ever. Real Estate Mathematics is a detailed and practical guide for private real estate fund managers and investors. Lead edited by David Lynn, PhD and Tim Wang, PhD, this guide features contributions from over 25 leading real estate professionals in.

Private Real Estate Investment

Author: Roger J. Brown

Publisher: Academic Press

Published: 2005-02-03

Total Pages: 308

ISBN-13: 0121377512

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Global Property Investment

Author: Andrew E. Baum

Publisher: John Wiley & Sons

Published: 2012-01-17

Total Pages: 577

ISBN-13: 1444335286

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Developments in the sophistication of global real estate markets mean that global real estate investment is now being executed professionally. Thanks to academic enquiry, professional analysis and entrepreneurial activity, backed by the globalisation of all investment activity, there is now an available body of material which forms the basis of this scholarly but practical summary of the new state of this art. The measurement, benchmarking, forecasting and quantitative management techniques applied to property investments are now compatible with those used in other asset classes, and advances in property research have at last put the ongoing debate about the role of real estate onto a footing of solid evidence. The truly global scope and authorship of this book is unique, and both authors here are singularly well qualified to summarise the impact and likely future of global innovations in property research and fund management. Between them, they have experienced three real estate crashes, and have observed at first hand the creation of the real estate debt and equity instruments that led to the global crisis of 2008-9. Global Property Investment: strategies, structure, decisions offers a unique perspective of the international real estate investment industry with: a close focus on solutions to real life investment problems no excessive theoretical padding a target of both students and professionals highly qualified dual-nationality authorship With many cases, problems and solutions presented throughout the book, and a companion website used for deeper analysis and slides presentations (see below), this is a key text for higher-level real estate students on BSc, MSc, MPhil and MBA courses worldwide as well as for practising property professionals worldwide in fund management, investment and asset management, banking and real estate advisory firms.