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Portfolio Analytics: An Introduction to Return and Risk Measurement PDF

216 Pages·2015·3.25 MB·English
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Springer Texts in Business and Economics Wolfgang Marty Portfolio Analytics An Introduction to Return and Risk Measurement Second Edition Springer Texts in Business and Economics More information about this series at http://www.springer.com/series/10099 Wolfgang Marty Portfolio Analytics An Introduction to Return and Risk Measurement Second Edition WolfgangMarty Zurich Switzerland ISSN2192-4333 ISSN2192-4341 (electronic) SpringerTextsinBusinessandEconomics ISBN978-3-319-19811-8 ISBN978-3-319-19812-5 (eBook) DOI10.1007/978-3-319-19812-5 LibraryofCongressControlNumber:2015949241 SpringerChamHeidelbergNewYorkDordrechtLondon ©SpringerInternationalPublishingSwitzerland2015 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof 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 dissimilarmethodologynowknownorhereafterdeveloped. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexempt fromtherelevantprotectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthis book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained hereinorforanyerrorsoromissionsthatmayhavebeenmade. Printedonacid-freepaper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www.springer.com) Preface While getting acquainted with a series of topics relating to the banking industry I realizedthatscientificmethodsandterminologiesdescribemanyaspectsoffinan- cial markets and that many notions that are used in finance have a scientific background. In the daily activities of the finance industry, we often fail to realize thatmathematicalconceptsarebeingapplied.Theuseofmathematicsrangesfrom basicarithmeticmanipulationssuchasaddingpositionsonanaccountorcalculat- ing interest payments to sophisticated problems such as investing times series or portfolio optimization. In my view, the connection between science and financial mathematics is particularly apparent in portfolio analysis. The illustration of this factisoneofthegoalsofthisbook. Inthetraditional asset managementindustry,Iwas confrontedwith statements likethefollowing:“Iamapractitioner;Idon’tneedsomeabstracttheory.”Nothing could be further from the truth. Using portfolio analysis, I intend to explain why concepts that are based on mathematics can enhance the decision-making process of the participants in the financial community. Furthermore, the approach we describe here helps to standardize the terminology and provides a concise use of thenotions. Financial markets are inundated by data. In other words, they are literally producedcontinuously.Inportfolioanalysis,theamalgamationandreconciliation ofdataisanimportantaspect.Weseektoanswerthequestion“Whatinformationis relevantinportfolio analysis?” and toexplain the figures thatare used toassessa specificportfolio. In this book, the basic notions in portfolio analysis are introduced using math- ematicalnotation.Formoreadvancedconceptsandideas,welimitourexposition tointuitivedescriptions.Thebookpresentsnotonlyconventionalmaterialbutalso some current research topics in portfolio analysis. We also refer to relevant liter- atureforfurtherreading. v vi Preface As the book’s approach is independent of market movement and market infer- ences,itallowsustodescribethebasicprinciplesmoreclearlyandmoreaccurately. Inaddition,weonlyintroducethemostessentialtoolsforbeingabletodescribethe materialinthisbook,providingadhocdefinitionsofspecificmathematicalnotions accompaniedbyintuitiveillustrations. Preface to the Second Edition Portfolio Analytics has been published about a year ago. I have received many valuablefeedbacks.Thecontentsofthebookledtomanyinterestingdiscussions.I realizedthatmybookhasbeenstudiedthoroughly.Improvingatextisanicetask andIhopethatthebookgetsmorereadable.IamgratefulthattheEditorgivesme theopportunityforpublishingasecondedition. Ihavepublishedacontributioninthe“BONDYEARBOOK2015”(www.fixed- income.org)entitled“PortfolioAnalytics.”Thetextdoesnotuseanyformulaand givesthemainideasofthebook. A book is only a snapshot of my professional development and I decided to includetwoadditionsreflectingmymorerecentresearchactivities. FirstlyIaddedasectiononBondAnalytics.Idiscusstheapproximationofthe solutionoftheinternalrateofreturnequation.IsummarizethefindingsoftheSBC (SwissBondCommission)workinggroup“PortfolioAnalytics.” SecondlyIaddedanexampleinSect.3.5.Itillustratesthecalculationintroduced inthischapterandopensfurtherresearchactivities.Forinstance,theapplicationof this example assesses the difference between normal distributed times series and distributionsobservedinthemarketplace. Stallikon,Switzerland WolfgangMarty 27.03.2015 vii ThiSisaFMBlankPage Conventions This book consists of five chapters. The chapters are divided into sections and whereneededsectionsaredividedintosubsections.(1.2.3)denotesformula(3)in Section2ofChapter1.Ifwerefertoformula(2)inSection2ofChapter1,weonly write(2);otherwise,weusethefullreference(1.2.3).Withinthechapters,assump- tions, definitions, figures, remarks, tables, theorems, and examples are numerated continually, e.g., Theorem2.1 refers toTheorem 1 inChapter 2. These points are numeratedcontinually. Theendofatheorem,lemma,orexampleismarkedwithe.Squarebrackets[] indicate references. The details of the references are provided at the end of thebook. ix

Description:
This textbook first introduces the reader to return measurement and then goes on to compare the time-weighted rate of return (TWR) with the money-weighted rate of return (MWR). To emphasize the importance of risk in conjunction with return, different tracking errors are analyzed and ex-post versus e
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