Real-Estate derivatives: from econometrics to financial engineering

Tunaru, Radu S (2017) Real-Estate derivatives: from econometrics to financial engineering. Oxford University Press, Oxford. ISBN 9780198742920

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Abstract

This book brings together the latest concepts and models in real-estate derivatives, the new frontier in financial markets. The importance of real-estate derivatives in managing property price risk that has destabilized economies frequently in the last hundred years has been brought into the limelight by Robert Shiller over the last three decades. In spite of his masterful campaign for the introduction of real-estate derivatives, these financial instruments are still in a state of infancy. This book aims to provide a state-of-the-art overview of real-estate derivatives at this moment in time, covering the description of these financial products, their applications, and the most important models proposed in the literature in this area. In order to facilitate a better understanding of the situations when these products can be successfully used, ancillary topics such as real-estate indices, mortgages, securitization, and equity release mortgages are also discussed. The book is designed to pay attention to the econometric aspects of real-estate index prices, time series, and also to financial engineering no-arbitrage principles governing pricing of derivatives. The emphasis is on understanding the financial instruments through their mechanics and comparative description. The examples are based on real-world data from exchanges or from major investment banks or financial houses in London. The numerical analysis is easily replicable with Excel and Matlab. This is the most advanced published book in this area, combining practical relevance with intellectual rigour. Real-estate derivatives will become important for managing macro risks in order to pass stress tests imposed by regulators.

Item Type: Book
Schools and Departments: University of Sussex Business School > Accounting and Finance
Research Centres and Groups: Quantitative International Finance Network
Subjects: H Social Sciences > HG Finance > HG0101 Theory. Method. Relation to other subjects
Depositing User: Radu Tunaru
Date Deposited: 23 Jan 2020 09:20
Last Modified: 23 Jan 2020 09:20
URI: http://sro.sussex.ac.uk/id/eprint/89493
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