| Description |
1 online resource |
| Contents |
Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- List of figures -- List of tables -- Preface -- Acknowledgements -- 1 Introduction -- 1.1 Motivation and rationale for this book -- 1.2 Broad themes covered in the book -- 1.3 Book online resource -- 2 Real estate data -- 2.1 Introduction -- 2.2 Segments of the real estate market -- 2.3 User/occupier market data -- 2.4 Investment market -- 2.5 Indirect investment -- property funds -- 2.6 Final remarks -- 3 Data, common manipulations and descriptive statistics in analysis -- 3.1 Introduction -- 3.2 Data representations |
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3.3 Data structures -- 3.4 Mathematical symbols, operations and rules -- 3.5 Indices/indexes -- 3.6 Applications: preparing data for analysing investment performance -- 3.7 Descriptive statistics -- 3.8 Applications: analysing investment performance -- 3.9 Concluding remarks -- 4 Random variables, correlation, estimation and hypothesis testing -- 4.1 Introduction -- 4.2 Random variables and probability distributions -- 4.3 The normal and standard normal probability distributions -- 4.4 Measures of association: covariance and correlation -- 4.5 Samples and sampling distributions -- 4.6 Estimation |
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4.7 Hypothesis testing -- 4.8 Concluding remarks -- 5 Simple regression analysis -- 5.1 Introduction -- 5.2 Regression versus correlation -- the difference -- 5.3 Population regression function (PRF): key concepts -- 5.4 The sample regression function (SRF): key concepts -- 5.5 The ordinary least squares estimator (OLSE) -- 5.6 Sampling variability of OLS estimators -- 5.7 Significance of regression coefficients -- 5.8 Analysis of variance (ANOVA) -- 5.9 Overall performance of the model -- goodness of fit -- 5.10 Assumptions of the classical linear regression model (CLRM) |
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5.11 The issue of bias and efficiency -- properties of CLRM -- 5.12 A simple regression model of US commercial prices -- 5.13 Forecasting -- 5.14 Concluding remarks -- 6 Multiple regression -- 6.1 Introduction -- 6.2 Multiple regression model: an overview -- 6.3 Coefficient interpretation in multiple regression -- 6.4 Coefficient of determination: the adjusted R-squared -- 6.5 The F-test of multiple restrictions in the model -- 6.6 Model specification -- dynamics and lags in the real estate market -- 6.7 Attributes of a good model |
| Summary |
"This book presents an easy-to-read guide to applying quantitative analysis in real estate aimed at non-cognate undergraduate and Masters students, as well as meeting the requirements of modern professional practice"-- Provided by publisher |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Sotiris Tsolacos is Professor of Real Estate Investment at Cass Business School and the Programme Director for the MSc Real Estate Investment. Previously he was with Henley Business School. He earned his PhD in economics at the University of Reading. He has over 25 years of experience in the quantitative analysis of real estate markets. He has over 40 publications in this field and is the co-author of the book Real Estate Modelling and Forecasting. He has long industry experience. He was with JLL in London and the Director of European Research in Property & Portfolio Research/CoStar. He is the co-founder of KappaSigma Partners, a regional property consultancy firm. He works closely with the industry on a range of topical themes in real estate. His industry experience and continual engagement with the profession has greatly inspired the content of this book. Mark Andrew is Senior Lecturer in Real Estate Finance and Investment and Programme Director for the MSc Real Estate at Cass Business School, City, University of London. He received his PhD from the University of Reading in 2001 and has taught non-cognate and cognate real estate students for over 15 years. He has published in highly ranked real estate and non-real estate journals, such as Real Estate Economics, Urban Studies and Environment and Planning A. He has undertaken a number of government commissioned reports on his research specialty in residential markets. He currently acts as a referee for a number of leading academic real estate journals and is a serving member on the IPF Research Steering Group |
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Online resource; title from PDF title page (viewed September 14, 2020) |
| Subject |
Real estate investment -- Statistical methods
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Real property -- Statistical methods
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Analytical chemistry -- Quantitative.
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BUSINESS & ECONOMICS -- Accounting -- Financial.
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BUSINESS & ECONOMICS -- Finance.
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Analytical chemistry -- Quantitative.
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Real estate investment -- Statistical methods.
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| Form |
Electronic book
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| Author |
Andrew, Mark, author.
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| LC no. |
2020013924 |
| ISBN |
9781351359009 |
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1351359002 |
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9780203710876 |
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0203710878 |
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1351359010 |
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9781351358996 |
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1351358995 |
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9781351359016 |
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