To fully function in today’s global real estate industry, students and professionals need to understand how to implement essential and cutting edge quantitative techniques.
This new book presents an easy-to-read guide to using quantitative analysis in real estate that will be accessible to advanced undergraduate and Masters students as well as meeting the requirements of modern professional practice. Through the use of numerous illustrative examples using data provided by major firms in the industry, the book provides an accessible introduction then builds up to more advanced quantitative analysis, modelling and forecasting of real estate markets.
To help the reader in gaining a better understanding of the techniques, a number of real examples and case studies are included within the chapters. These examples are drawn either from the empirical real estate literature, or are specifically compiled and executed for this book. After reading this book, readers will be equipped to confidently carry out their own quantitative analysis and interpret conventional statistics encountered in similar studies in the fields of economics and finance. Both undergraduate and Masters level students, as well as real estate fund managers, private equity firms, investment banks, lenders and other entities will find this book to be essential reading.
Chapter 1 Introduction
Chapter 2 Real Estate Performance indicators
Chapter 3 Understanding and Preparing Real Estate data for Analysis
Chapter 4 Descriptive and Inferential Statistics
Chapter 5 Overview of Regression Analysis
Chapter 6 Diagnostics Tests
Chapter 7 Cointegration in Real Estate Markets
Chapter 8 Building an empirical Model
Chapter 9 Forecasting and forecast evaluation
Chapter 10 Simultaneous Equation Models and VARs
Chapter 11 Univariate Time Series Models
Chapter 12 Cross sectional Models
Chapter 13 Panel Data and Panel Models
Chapter 14 Conclusions