7373tpPath.indd 1 5/19/10 3:29:55 PM May13,2010 10:6 WSPC/SPI-B913 b913-fm FA TThhiiss ppaaggee iinntteennttiioonnaallllyy lleefftt bbllaannkk World Scientific 7373tpPath.indd 2 5/19/10 3:29:56 PM Published by World Scientific Publishing Co. Pte. Ltd. 5 Toh Tuck Link, Singapore 596224 USA office: 27 Warren Street, Suite 401-402, Hackensack, NJ 07601 UK office: 57 Shelton Street, Covent Garden, London WC2H 9HE Library of Congress Cataloging-in-Publication Data Alternative investments and strategies / edited by Rüdiger Kiesel, Matthias Scherer & Rudi Zagst. p. cm. ISBN-13: 978-9814280105 ISBN-10: 9814280100 1. Investments--Moral and ethical aspects. 2. Portfolio management--Moral and ethical aspects. I. Kiesel, Rüdiger, 1962– II. Scherer, Matthias. III. Zagst, Rudi, 1961– HG4515.13.A498 2010 332.6--dc22 2010013167 British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library. Copyright © 2010 by World Scientific Publishing Co. Pte. Ltd. All rights reserved. This book, or parts thereof, may not be reproduced in any form or by any means, electronic or mechanical, including photocopying, recording or any information storage and retrieval system now known or to be invented, without written permission from the Publisher. For photocopying of material in this volume, please pay a copying fee through the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, USA. In this case permission to photocopy is not required from the publisher. Typeset by Stallion Press Email: [email protected] Printed in Singapore. Juliet - Alternative Investments.pmd 1 8/2/2010, 6:18 PM May13,2010 10:6 WSPC/SPI-B913 b913-fm FA PREFACE Assetallocationinvestigatestheoptimaldivisionofaportfolioamongdifferentasset classes. Standard theory involves the optimal mix of risky stocks, bonds, and cash togetherwithvarioussubdivisionsoftheseassetclasses.Underlyingthisistheinsight thatdiversificationallowsforachievingabalancebetweenriskandreturn:byusing differenttypesofinvestment,lossesmaybelimitedandreturnsaremadelessvolatile withoutlosingtoomuchpotentialgain. These insights are made precise using the benchmark theory of mathematical finance,theBlack-Scholes-Mertontheory,basedonBrownianmotionasthedriving noiseprocessforriskyassetprices.Here,thedistributionsoffinancialreturnsofthe riskyassetsinaportfolioaremultivariatenormal,thusrelatingtothestandardmean- varianceportfoliotheoryofMarkowitzwithitsrisk-returnparadigmasabove. Recent years have seen many empirical studies shedding doubt on the Black- Scholes-Merton model, and motivating various alternative modeling approaches, whichwereabletoreproducethestylizedfactsofassetreturns(suchasheavytailsand volatilityclustering)muchbetter.Also,variousnewassetclassesandspecificfinancial toolsforachievingbetterdiversificationhavebeencreatedandenteredtheinvestment universe. Thisbookcombinesacademicresearchandpracticalexpertiseonthesenew(often calledalternative)assetsandtradingstrategiesinauniqueway.Weincludetheprac- titioners’viewpoint on new asset classes as well as academic research on modeling approaches,fornewassetclasses.Inparticular,alternativeassetclassessuchaspower forwardcontracts,forwardfreightagreements,andinvestmentinphotovoltaicfacil- ities are discussed in detail, both on a stand-alone basis and with a view to their effectsondiversificationincombinationwithclassicalasset.Wealsoanalysecredit- relatedportfolioinstrumentsandtheireffectinachievinganoptimalassetallocation. Inthiscontext,wehighlightaspectsoffinancialstructureswhichmaysometimesbe neglected, such as default risk of issuer in case of certificates or the role that model v May13,2010 10:6 WSPC/SPI-B913 b913-fm FA vi Preface risk plays within asset allocation problems.This leads naturally to the use of robust assetallocationstrategies. Extendingtheclassicalmean-varianceportfoliosetting,weincludedynamicport- foliostrategiesandillustratedifferentportfolioprotectionstrategies.Inparticular,we comparethebenefitsofsuchstrategiesandinvestigateconditionsunderwhichCon- stantProportionPortfolioInsurance(CPPI)maybepreferedtoOption-BasedPortfolio Insurance(OBPI)andviceversa.Wealsocontributetotheunderstandingofgaprisk byanalyzingthisriskforCPPIandConstantProportionDebtObligations(CPDO)in a sophisticated modeling framework. Such analyses are supplemented and extended byaninvestigationoftheoptimalityofhedgingapproachessuchasvariance-optimal hedgingandsemistaticvariantsofclassicalhedgingstrategies. Manyofthearticlescanserveasguidesfortheimplementationofvariousmodels. In addition, we also present state-of-the-art models and explain modern tools from financialmathematics,suchasMarkov-Switchingmodels,time-changedLévymodels, variantsoflognormalapproximations,andcopulastructures. Thisbookscombinesauniquemixofauthors.Alsomanyofourstudentsimproved theoutcomeoftheprojectwithcriticalandinsightfulcomments.Particularthanksgoes toGeorgGrüll,PeterHieber,JuliaKraus,MatthiasLutz,Jan-FrederikMai,Kathrin Maul,KevinMetka,DanielaNeykova,JohannesRauch,AndreasRupp,DanielaSelch, andChristoferVogt. R.Kiesel,M.Scherer,andR.Zagst May13,2010 10:6 WSPC/SPI-B913 b913-fm FA CONTENTS Preface v PartI. AlternativeInvestments Chapter1. SociallyResponsibleInvestments 3 SvenHroß,ChristoferVogtandRudiZagst 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2 RecentResearchonSRI . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.3 HowSustainableisSustainability? . . . . . . . . . . . . . . . . . . . . . 6 1.3.1 DescriptionoftheDataset . . . . . . . . . . . . . . . . . . . . . 6 1.3.2 IntroductiontoMarkovTransitionMatrices . . . . . . . . . . . . 6 1.3.3 ResultsofMarkovTransitionMatrices . . . . . . . . . . . . . . 7 1.4 SRIinPortfolioContext . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.4.1 DescriptionoftheDatasetandStatisticalProperties . . . . . . . 8 1.4.2 Markov-SwitchingModel . . . . . . . . . . . . . . . . . . . . . 11 1.4.3 FittingtheModelParameters . . . . . . . . . . . . . . . . . . . 11 1.4.4 SimulationofReturns . . . . . . . . . . . . . . . . . . . . . . . 13 1.4.5 PortfolioOptimizationModels . . . . . . . . . . . . . . . . . . 13 1.4.6 DefinitionofInvestorTypes . . . . . . . . . . . . . . . . . . . . 15 1.4.7 OptimalPortfolios . . . . . . . . . . . . . . . . . . . . . . . . . 15 1.5 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Chapter2. ListedPrivateEquityinaPortfolioContext 21 PhilippAigner,GeorgBeyschlag,TimFriederich, MarkusKalepkyandRudiZagst 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 2.2 DefiningPrivateEquityCategories. . . . . . . . . . . . . . . . . . . . . 23 2.2.1 FinancingStages . . . . . . . . . . . . . . . . . . . . . . . . . . 23 2.2.2 DivestmentStrategies . . . . . . . . . . . . . . . . . . . . . . . 24 vii May13,2010 10:6 WSPC/SPI-B913 b913-fm FA viii Contents 2.2.3 TypeofFinancing . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.2.4 ClassificationofPrivateEquityFundInvestments . . . . . . . . 26 2.2.4.1 Venturecapitalfunds . . . . . . . . . . . . . . . . . . . 26 2.2.4.2 Buyoutfunds . . . . . . . . . . . . . . . . . . . . . . . 27 2.2.4.3 Leveragedbuyouts(LBO) . . . . . . . . . . . . . . . . 27 2.3 InvestmentPossibilities—OneAsset,ManyClasses . . . . . . . . . . . 28 2.3.1 DirectInvestments . . . . . . . . . . . . . . . . . . . . . . . . . 28 2.3.2 PrivateEquityFunds . . . . . . . . . . . . . . . . . . . . . . . . 29 2.3.2.1 Keyplayers . . . . . . . . . . . . . . . . . . . . . . . 29 2.3.3 CashFlowStructureofaPrivateEquityFund . . . . . . . . . . . 31 2.3.4 Fund-of-Funds . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 2.3.4.1 Structureofaprivateequityfund-of-funds . . . . . . . 32 2.3.4.2 Advantages . . . . . . . . . . . . . . . . . . . . . . . . 32 2.3.4.3 Disadvantages . . . . . . . . . . . . . . . . . . . . . . 33 2.3.5 PubliclyTradedPrivateEquity . . . . . . . . . . . . . . . . . . 33 2.3.6 SecondaryTransactions . . . . . . . . . . . . . . . . . . . . . . 34 2.3.6.1 Typesofsecondarytransactions . . . . . . . . . . . . . 34 2.3.6.2 Buyer’smotivation . . . . . . . . . . . . . . . . . . . . 35 2.4 PrivateEquityasAlternativeAssetClass inanInvestmentPortfolio . . . . . . . . . . . . . . . . . . . . . . . . . 35 2.4.1 CharacteristicsofLPEReturnSeries . . . . . . . . . . . . . . . 36 2.4.2 ModelingReturnSerieswithMarkov-SwitchingProcesses. . . . 37 2.4.2.1 Markov–Switchingmodels . . . . . . . . . . . . . . . 37 2.4.2.2 Fittingtheparameters . . . . . . . . . . . . . . . . . . 39 2.4.2.3 Simulationofreturnpaths . . . . . . . . . . . . . . . . 40 2.4.3 ListedPrivateEquityinAssetAllocation . . . . . . . . . . . . . 40 2.4.3.1 Performancemeasurement . . . . . . . . . . . . . . . . 40 2.4.3.2 Portfoliooptimizationframeworks . . . . . . . . . . . 42 2.4.3.3 Definitionofinvestortypes . . . . . . . . . . . . . . . 43 2.4.3.4 Optimizationofportfolios . . . . . . . . . . . . . . . . 44 2.5 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 Chapter3. AlternativeRealAssetsinaPortfolioContext 51 WolfgangMader,SvenTreuandSebastianWillutzky 3.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 3.2 OverviewonAlternativeRealAssets . . . . . . . . . . . . . . . . . . . . 52 3.3 ModelingPhotovoltaicInvestments . . . . . . . . . . . . . . . . . . . . 53 3.3.1 GeneralApproach . . . . . . . . . . . . . . . . . . . . . . . . . 53 3.3.2 DefinitionoftheInvestmentProject . . . . . . . . . . . . . . . . 54 May13,2010 10:6 WSPC/SPI-B913 b913-fm FA Contents ix 3.3.3 ModelingofRiskFactors . . . . . . . . . . . . . . . . . . . . . 56 3.3.3.1 Economicfactors . . . . . . . . . . . . . . . . . . . . 56 3.3.3.2 Non-economicfactors . . . . . . . . . . . . . . . . . . 57 3.3.3.3 Historicalanalysisofmonthlyglobalirradiance . . . . 58 3.3.3.4 MonteCarloanalysisofyearlyglobalirradiance . . . . 61 3.4 PhotovoltaicInvestmentsinaPortfolioContext . . . . . . . . . . . . . . 63 3.4.1 SettingthePortfolioContext. . . . . . . . . . . . . . . . . . . . 63 3.4.2 IncludingPhotovoltaicInvestmentsinaPortfolio . . . . . . . . . 64 3.4.3 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 3.5 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68 Chapter4. TheFreightMarketandItsDerivatives 71 RüdigerKieselandPatrickScherer 4.1 Introduction:theFreightMarket . . . . . . . . . . . . . . . . . . . . . . 72 4.1.1 Vessels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 4.1.2 Cargo . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 4.1.3 Routes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73 4.2 FreightRates:WhatDrivestheMarket? . . . . . . . . . . . . . . . . . . 74 4.2.1 DemandforShippingCapacity . . . . . . . . . . . . . . . . . . 75 4.2.2 SupplyofShippingCapacity . . . . . . . . . . . . . . . . . . . 76 4.2.3 Costs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 4.3 FreightDerivatives:HedgingorSpeculating? . . . . . . . . . . . . . . . 77 4.3.1 ForwardFreightAgreement . . . . . . . . . . . . . . . . . . . . 77 4.3.2 FreightFutures . . . . . . . . . . . . . . . . . . . . . . . . . . . 78 4.4 ExplanatoryVariables . . . . . . . . . . . . . . . . . . . . . . . . . . . 79 4.4.1 ExplanatoryPower . . . . . . . . . . . . . . . . . . . . . . . . . 80 4.4.2 GrangerCausality . . . . . . . . . . . . . . . . . . . . . . . . . 82 4.4.3 SelectionAlgorithm“TopFive” . . . . . . . . . . . . . . . . . . 83 4.4.4 Cointegration . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84 4.5 PredictingFreightSpotandFuturesRates . . . . . . . . . . . . . . . . . 86 4.6 TheBacktestingAlgorithm . . . . . . . . . . . . . . . . . . . . . . . . . 88 4.7 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90 Chapter5. OnForwardPriceModelinginPowerMarkets 93 FredEspenBenth 5.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94 5.2 HJMApproachtoPowerForwardPricing . . . . . . . . . . . . . . . . . 95 5.3 PowerForwardsandApproximationbyGeometric BrownianMotion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98
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