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Strategic Asset Allocation in Fixed-Income Markets A MATLAB-Based User s Guide Ken Nyholm An extremely useful book for anyone interested in actually applying MATLAB based computational techniques to fixed-income
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Strategic Asset Allocation in Fixed-Income Markets A MATLAB-Based User s Guide Ken Nyholm An extremely useful book for anyone interested in actually applying MATLAB based computational techniques to fixed-income problems. Theoretically sound and practically useful: a rare combination. I decided to buy MATLAB after reading it. Dr Riccardo Rebonato, Global Head of Market Risk and Quant Analytics, RBS. This book is a wonderfully practical how to guide for bond market empirics implemented in MATLAB, with particular strength in dynamic yield curve models. It will interest students and practitioners alike. Francis X. Diebold, Joseph M. Cohen Professor of Economics, Finance and Statistics, and Co-Director of the Wharton Financial Institutions Center, University of Pennsylvania. This book offers a unique opportunity for mathematically savvy readers with little prior exposure to finance to hit the ground running in fixed income modeling. It provides a broad but thorough introduction to fixed-income finance, from basic elements like price-yield conversions to more complex topics such as term structure modeling and strategic asset allocation. No prior financial knowledge is assumed; an effort is made to develop all models presented from first principles, and references are provided for those who wish to probe a given topic in greater depth. At the same time, the book also serves as an introduction to Matlab, which is used throughout the book to provide working code examples for all of the models discussed in the text. These code fragments, which may be downloaded from the internet, can help readers jumpstart their own efforts at writing Matlab code for financial applications. This book can thus be useful in different ways to different people. It offers an excellent first exposure to finance for scientists and engineers interested in joining the field. For experienced practitioners, the book and accompanying code fragments can greatly minimize the time required to start implementing models in Matlab, a very powerful programming tool. Lev Dynkin, Managing Director, Quantitative Portfolio Strategies, Lehman Brothers. StrategicAssetAllocation in Fixed Income Markets is a carefully thought through introduction to fixed income asset allocation with an applied focus on Matlab implementation. A great resource for anyone who wants to get started solving realistic asset allocation problems. Michael W. Brandt, Professor of finance, The Fuqua School of Business, Duke University. Strategic Asset Allocation in Fixed-Income Markets For other titles in the Wiley Finance series please see Strategic Asset Allocation in Fixed-Income Markets A MATLAB-Based User s Guide Ken Nyholm Copyright 2008 John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, England Telephone (+44) (for orders and customer service enquiries): Visit our Home Page on All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except under the terms of the Copyright, Designs and Patents Act 1988 or under the terms of a licence issued by the Copyright Licensing Agency Ltd, 90 Tottenham Court Road, London W1T 4LP, UK, without the permission in writing of the Publisher. Requests to the Publisher should be addressed to the Permissions Department, John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, England, or ed to or faxed to (+44) Designations used by companies to distinguish their products are often claimed as trademarks. All brand names and product names used in this book are trade names, service marks, trademarks or registered trademarks of their respective owners. The Publisher is not associated with any product or vendor mentioned in this book. This publication is designed to provide accurate and authoritative information in regard to the subject matter covered. It is sold on the understanding that the Publisher is not engaged in rendering professional services. If professional advice or other expert assistance is required, the services of a competent professional should be sought. Other Wiley Editorial Offices John Wiley & Sons Inc., 111 River Street, Hoboken, NJ 07030, USA Jossey-Bass, 989 Market Street, San Francisco, CA , USA Wiley-VCH Verlag GmbH, Boschstr. 12, D Weinheim, Germany John Wiley & Sons Australia Ltd, 42 McDougall Street, Milton, Queensland 4064, Australia John Wiley & Sons (Asia) Pte Ltd, 2 Clementi Loop #02-01, Jin Xing Distripark, Singapore John Wiley & Sons Canada Ltd, 6045 Freemont Blvd. Mississauga, Ontario, L5R 4J3, Canada Wiley also publishes its books in a variety of electronic formats. Some content that appears in print may not be available in electronic books. Library of Congress Cataloging in Publication Data Nyholm, Ken. Strategic asset allocation in fixed-income markets : a MATLAB-based user s guide / Ken Nyholm. p. cm. Includes bibliographical references and index. ISBN (cloth : alk. paper) 1. Asset allocation Mathematical models. 2. Assets-liability management Mathematical models. I. Title. HG N dc British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library ISBN Typeset in 10/12pt Times by Integra Software Services Pvt. Ltd, Pondicherry, India Printed and bound in Great Britain by TJ International Ltd, Padstow, Cornwall, UK To Laura, Clara and Emilia Contents List of Figures Preface and Disclaimer Acknowledgements xi xiii xvii 1 Introduction Strategic asset allocation Outline of the book 5 2 Essential Elements of MATLAB Introduction Getting started Introductory matrix algebra Organising data Creating functions Linear regression Some estimation examples A brief introduction to simulations 32 3 Fixed-Income Preliminaries Introduction Spot rates and yields Forward rates Bond pricing functions 48 4 Risk and Return Measures Introduction Risk measures Fixed-income returns 65 x Contents 5 Term Structure Models Introduction Not necessarily arbitrage-free models Arbitrage-free models 74 6 Asset Allocation Introduction Efficient portfolios Diversification The minimum variance portfolio Asset weight constraints The Capital Asset Pricing Model Statistical Tools Introduction Vector autoregression Regime-switching models Yield curve models in state-space form Importance sampling Building Graphical User Interfaces Introduction The guide development environment Creating a simple GUI Useful Formulae and Expressions Introduction Matrix operations Decompositions Basic rules Distributions Functions Taylor series approximation Interest rates, returns and portfolio statistics 159 Bibliography 161 Index 163 List of Figures 2.1 Example of the plot command Example of the hold on command Example of the subplot command Original and simulated data Simulated parameter distributions Yield curve examples on given dates Example of yield curve s shapes and locations Comparison of a zero curve and a yield curve Variance and covariance Risk measures Empirical and normal distribution Bond price sensitivity to yield levels Approximations to the MD and convexity Nelson Siegel yield curve factors Nelson Siegel factor sensitivities (λ = 0.08) Vasicek example yield curve Upward and inverse Vasicek yield curves Observed and estimated yields from a no-arbitrage model Example of efficient and inefficient portfolios The possible investment frontier Example of the diversification effect Example of an unconstrained and constrained efficient frontier The capital market line Example of regime-switching data Data and estimated probability for state State probabilities and the slope factor Estimates of expected shortfall The MATLAB guide start screen The GUI development area The Property Inspector Changing the name and tag properties of a Push Button Nelson Siegel GUI 140 xii List of Figures 8.6 Illustrating the usage of the first part of the Nelson Siegel example GUI Input area for the lower part of the Nelson Siegel example GUI The expanded input area An example of a function and its inverse 159 Preface and Disclaimer The work contained in this book was initially intended as background reading for students at the Finance Department of the Frankfurt University for a course on Fixed Income StrategicAssetAllocation in Practice, which I started to teach some years ago. A literature search for an appropriate textbook that combines fixed-income analysis, portfolio theory and in-depth computer-based applications concluded unsuccessfully. Consequently, I set out to write lecture notes, aiming to explain and to illustrate, by the use of examples, some of the topics from the intersection between fixed-income portfolio management and applied econometrics. As a computer tool I decided to rely on MATLAB. 1 Eventually, the lecture notes ended up forming this book. Its chief purpose is to assist readers who are interested in the implementation of financial and econometric models in MATLAB. While the provided annotated examples by no means claim to be the best way to program and implement such models and techniques, it is hoped that the text still can serve as a useful introduction relevant for students and practitioners alike. In particular, many practitioners (and students, it seems) cannot find the time (although probably for different reasons) to do the necessary foot work to get started implementing models in MATLAB; with those in mind, the aim of this book is to lower the barrier of entry to the successful implementation of financial models. A disclaimer is warranted at this point. Given my work-related background in strategic asset allocation for debt instruments, the book has a significant skew towards fixed-income markets. This means that the book does not cover equity and optionsrelated material at all. Also, the book does not claim or aim to give a unified treatment of strategic asset allocation methods, nor how to construct an asset allocation framework. Rather, it presents a smorgasbord of different ideas and techniques, and it shows how these can be implemented using MATLAB. 1 More information about MATLAB and how to use it can be found on the Internet, see, for example, and MATLAB is a registered trademark of The MathWorks Inc.
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