Data and Dimension Reduction
Data and dimension reduction techniques hold promise for representing data in easily understandable formats, as has been shown by their wide scope of applications. Data reductions provide summarizations of data by compressing information into fewer partit
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Peter Sarlin
Mapping Financial Stability
Computational Risk Management
Series editors Desheng Dash Wu David L. Olson John R. Birge
For further volumes: http://www.springer.com/series/8827
Peter Sarlin
Mapping Financial Stability
123
Peter Sarlin Centre of Excellence SAFE Goethe University Frankfurt Frankfurt Germany RiskLab Finland IAMSR Åbo Akademi University Turku Finland Arcada University of Applied Sciences Helsinki Finland
ISSN 2191-1436 ISSN 2191-1444 (electronic) ISBN 978-3-642-54955-7 ISBN 978-3-642-54956-4 (eBook) DOI 10.1007/978-3-642-54956-4 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2014936096 Springer-Verlag Berlin Heidelberg 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Work is more fun than fun —Noel Coward
Acknowledgments
Most parts of this book are taken from my Ph.D. thesis (TUCS Dissertation Series, No 159), which I defended on 6 June 2013. Hence, all acknowledgments in the Preface of the thesis obviously still apply. Beyond those people and institutions, I would like to thank the editors of Springer’s Computational Risk Management Series, Desheng Wu, David L. Olson, and John R. Birge, for their kind help and support in turning a thesis into this book. Moreover, I once again extend m
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