Applied Quantitative Analysis for Real Estate: 1st Edition (Paperback) book cover

Applied Quantitative Analysis for Real Estate

1st Edition

By Sotiris Tsolacos, Mark Andrew


356 pages

Purchasing Options:$ = USD
Paperback: 9781138561335
pub: 2019-12-01
Available for pre-order
Hardback: 9781138561328
pub: 2019-12-01
Available for pre-order

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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.

Table of Contents

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

About the Authors

Sotiris Tsolacos is currently with ICMA Centre and the Department of Real Estate and Planning in Henley Business School, University of Reading. He is the Programme Director for MSc Real Estate Finance. He also holds a visiting position in Cass Business School.

Mark Andrew is a Senior Lecturer in Real Estate Finance and Investment and the Programme Director for the MSc Real Estate at Cass Business School, City, University of London.

Subject Categories

BISAC Subject Codes/Headings:
BUSINESS & ECONOMICS / Accounting / Financial
BUSINESS & ECONOMICS / Corporate Finance / Valuation
BUSINESS & ECONOMICS / Investments & Securities / Real Estate
BUSINESS & ECONOMICS / Investments & Securities / Portfolio Management
BUSINESS & ECONOMICS / Real Estate / Commercial
BUSINESS & ECONOMICS / Real Estate / Mortgages
BUSINESS & ECONOMICS / Business Mathematics
TECHNOLOGY & ENGINEERING / Construction / General