Applied Quantitative Analysis For Real Estate

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.

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 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.

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.

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.

Contemporary economists, when analyzing economic behavior of people, need to use the diversity of research methods and modern ways of discovering knowledge. The increasing popularity of using economic experiments requires the use of IT tools and quantitative methods that facilitate the analysis of the research material obtained as a result of the experiments and the formulation of correct conclusions. This proceedings volume presents problems in contemporary economics and provides innovative solutions using a range of quantitative and experimental tools. Featuring selected contributions presented at the 2018 Computational Methods in Experimental Economics Conference (CMEE 2018), this book provides a modern economic perspective on such important issues as: sustainable development, consumption, production, national wealth, the silver economy, behavioral finance, economic and non-economic factors determining the behavior of household members, consumer preferences, social campaigns, and neuromarketing. International case studies are also offered.

This book collects 88 papers on the latest fundamental advances in the state of the art and practice of industrial economics and industrial security theories and practices, providing insights to address problems concerning the national economy, social development and economic security. The book is divided into four main sections: Industrial Economics; Industrial Security; Empirical Studies; and others, all of which cover different aspects, such as industrial organization, industrial structure, industrial development, industrial distribution and industrial policies, as well as theories on industrial security in globalization. It also covers four special sessions: Cultural Industry; National Economy; Finance Groups; and International Economics and Trade. The papers in each section describe state-of-art research works that are often oriented towards real-world applications and highlight the benefits of related methods and techniques for developing the emerging field of Industrial Economics and Industrial Security.