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T P I R MathematicalandStatisticalMethodsforActuarialSciencesandFinance C S U N A M D E H S I L B U P N U T P CiraPerna(Editor) MarilenaSibillo(Editor) I R C Mathematical and S Statistical Methods U for Actuarial Sciences N and Finance A M D E H S I L B U P N U T P Editors I CiraPerna R DepartmentofEconomicsandStatistics UniversityofSalerno [email protected] C MarilenaSibillo DepartmentofEconomicsandStatistics S UniversityofSalerno [email protected] U N A The publication of this book has been made possible thanks to thMe financial support of the UniversitàdegliStudidiSalerno. ISBN978-88-470-2341-3 e-ISBN978-88-470-2342-0 DOI10.1007/978-88-470-2342-0 D LibraryofCongressControlNumber:2011932217 SpringerDordrechtHeidelbergLondonMilanNewYorkE ©Springer-VerlagItalia,2012 H This work is subject to copyright.All rights are reserved,whether the whole or part of the material is concerned,specifically the rights of translation,reprinting,reuse of illustrations, recitation,broadcasting,reproductiononmicrofilmsorinotherways,andstorageindatabanks. DuplicationofthispublicationorpartsthereoSfispermittedonlyundertheprovisionsofthe ItalianCopyrightLawinitscurrentversion,andpermissionforusemustalwaysbaobtained fromSpringer.ViolationsareliabletoprosecIutionundertheItalianCopyrightLaw. Theuseofgeneraldescriptivenames,regisLterednames,trademarks,etc.inthispublicationdoes notimply,even intheabsence of aspecificstatement,thatsuchnames areexemptfromthe relevantprotectivelawsandregulationsandthereforefreeforgeneraluse. B 987654321 Cover-Design:SimonaColombo,Milano Typesetting:PTP-Berlin,ProtagoTEUX-ProductionGmbH,Germany PrintingandBinding:GrafichePorporas.r.l.,Segrate(MI) PrintedinItaly P Springer-VerlagItaliasrl–ViaDecembrio28–20137Milano SpringerisapartofSpringerScience+BusinessMedia springer.com N U T P Preface I R C S U N TheMAF2010Conference,organizedbyUniversityofSalernoinRavello(Salerno, Italy),wasdevelopedonthebasisofcooperationbetweenmathemAaticiansandstatis- ticiansworkingininsuranceandfinancefields. The idea arises from the belief that the interdisciplinary approach can improve research on these topics, and the proof of this is that intereMst in this guideline has evolvedandbeenre-enforced. TheConferenceaimsatprovidingstateoftheartresearchindevelopment, im- plementationandrealworldapplicationsofstatisticalandmathematicalmodelsin actuarialandfinancesciences,aswellasfordiscussionofproblemsofnationaland internationalinterest. D Theseconsiderationsimplythestrengtheningoftheinvolvedmethodsandtech- niquestowardsthepurpose,sharedbyanincreasingpartofthescientificcommunity, oftheintegration betweenmathematics andstatEistics appliedinfinanceandinsur- ancefields. TheConferencewasopentobothacademicandnon-academiccommunitiesfrom H universities,insurancecompaniesandbanks,anditwasspecificallydesignedtocon- tribute in fostering the cooperation between practitioners and theoreticians in the field. S About170researchersattendedtheConferenceandatotalof25contributedses- sions and 9 organized sessions, contaIining more than 130 communications, were acceptedforthepresentation. L Fourprestigiouskeynotelecturersincreasedthescientificvalueofthemeeting: • NonparametricmethodsinsurvBivalanalysisbyProf.NarayanaswamyBalakrish- nan(McMasterUniversity,Canada) • SomeRecentDevelopments inMultiplicative ErrorModels byProf.Giampiero U Gallo(UniversityofFlorence,Italy) • TooInterconnectedtoFail:FinancialContagionandSystemicRiskinNetwork ModelofCreditDefaultSwapsandCreditEnhancementObligationsofUSBanks P byProf.SheriMarkose(UniversityofEssex,U.K.) • SomeResultsforSkip-FreeRandomWalksbyProf.SheldonM.Ross(University N ofCalifornia,Berkeley,U.S.A.). U T VI Preface P Thecollectionpublishedheregatherssomeofthepaperspresentedattheconference MAF2010 and successively worked out to this aim. They cover a wide variety ofI subjects: R MathematicalModelsforInsurance:InsurancePortfolioRiskAnalysis,Solvency, Longevity Risk, Actuarial models, Management in Insurance Business, Stochastic modelsinInsurance. C StatisticalMethodsforFinance:AnalysisofHighFrequencyData,DataMining, Nonparametric methods for the analysis of financial time series, Forecasting from S DynamicPhenomena,ArtificialNeuralNetwork,MultivariateMethodsfortheAnal- ysisofFinancialMarkets. U MathematicalToolsinFinance:StockmarketRiskandSelection,Mathematical ModelsforDerivatives,StochasticModelsforFinance,StochasticOptimization. Thepapersfollowinalphabeticorderfromthefirstauthor. N The scientific value of the papers is due to the authors and, in the name of the scientific and organizing committee of the conference MAF2010, we truly thank themall.InparticularwewanttopointoutthepreciouscooperaAtionofthereferees: theirworkhasbeendecisiveintheimprovementofthequalityofthisbook. MoreoverwethanktheFacultyofEconomics,theFacultyofPoliticalSciences M andtheDepartmentofEconomicsandStatisticsoftheUniversityofSalernoforthe opportunitytheygaveustogoaheadwiththisidea. WewouldliketoexpressourgratitudetothemembersoftheScientificandOrga- nizingCommitteeandtoallthepeoplewhocontributed tothesuccessoftheevent. Wearegratefulforthekindeffortinparticularof thesponsors:ItalianAssocia- tionforMathematicsappliedtoEconomicsandSociaDlSciences(AMASES),Italian Statistical Society (SIS), Comune di Fisciano, Comune di Mercato San Severino, ComunediRavello, Assessoratoalle Politiche Ambientali ofProvinciadiSalerno E formakingthemeetingmorecomfortableandpleasant.Wewouldlikeaswelltoex- pressspecialacknowledgementstoSpringerEditor,foritssupportintheinitiative. Finally,wetrulythanktheDepartmentofHAppliedMathematicsandtheDepart- ment of Statistics of the University of Venice for the enthusiastic sharing and the cooperationinthisinitiativeandfortheinvolvementinorganizingandhostingthe nexteditionoftheConference,tobeheldSin2012inVenice. Fisciano,May2011 I CiraPernaandMarilenaSibillo L B U P N U T P ScientificCommittee I ChrisAdcock,UniversityofSheffield(UK) AlessandraAmendola,UniversityofSalerno(IT) R AnnaRitaBacinello,UniversityofTrieste(IT) GiovanniBaroneAdesi,UniversityofLugano(CH) C AntonellaBasso,UniversityCa’FoscariofVenice(IT) MarcoCorazza,UniversityCa’FoscariofVenice(IT) EmiliaDiLorenzo,UniversityofNaplesFedericoII(IT) S ElsaFornero,UniversityofTurin(IT) StevenHaberman,CityUniversityLondon(UK) U MicheleLaRocca,UniversityofSalerno(IT) NicolaLoperfido,UniversityofUrbino(IT) N EliseoNavarro,UniversityofCastilla-LaMancha(ES) AnnamariaOlivieri,UniversityofParma(IT) ErmannoPitacco,UniversityofTrieste(IT) A ClaudioPizzi,UniversityCa’FoscariofVenice(IT) IsabellaProcidano,UniversityCa’FoscariofVenice(IT) CosimoDamianoVitale,UniversityofSalerno(IT) M OrganizingCommittee GiuseppinaAlbano,UniversityofSalerno(IT) DianaBarro,UniversityCa’FoscariofVenice(IT) GiovannaBimonte,UniversityofSalerno(IT) D PietroCoretto,UniversityofSalerno(IT) ValeriaD’Amato,UniversityofSalerno(IT) E FrancescoGiordano,UniversityofSalerno(IT) MartinaNardon,UniversityCa’FoscariofVenice(IT) MarcellaNiglio,UniversityofSalerno(IT) H MariaLuciaParrella,UniversityofSalerno(IT) MarialuisaRestaino,UniversityofSalerno(IT) MariaRussolillo,UniversityofSalerno(IST) GiuseppeStorti,UniversityofSalerno(IT) I L B U P N U T P Contents I R C S U N OntheestimationincontinuouslimitofGARCHprocesses GiuseppinaAlbano,FrancescoGiordano,andCiraPerna ...A............ 1 Variableselectioninforecastingmodelsfordefaultrisk AlessandraAmendola,MarialuisaRestaino,andLucaSensiMni ............ 11 Capitalstructurewithfirm’snetcashpayouts FlaviaBarsotti,MariaElviraMancino,andMoniquePontier............. 19 Convex ordering of Esscher and minimal entropy martingale measures D fordiscretetimemodels FabioBelliniandCarloSgarra ..................................... 27 OnhyperboliciterateddistortionsfortheadjuEstmentofsurvival functions AlexisBienvenu¨eandDidierRullie`re ......H.......................... 35 BeyondBasel2:Modelinglossgivendefaultthroughsurvivalanalysis StefanoBoniniandGiulianaCaivano ...S............................. 43 Initial premium, aggregate claims and distortion risk measures in XL I reinsurancewithreinstatements AntonellaCampanaandPaolaFerreLtti............................... 53 Population dynamics in a spatial Solow model with a convex-concave B productionfunction VincenzoCapasso,RalfEngbers,andDavideLaTorre .................. 61 U PopulationdynamicsinapatchgrowthmodelwithS-shapedproduction functionsandmigrationeffects VincenzoCapasso,HerbEP.Kunze,andDavideLaTorre................. 69 Anordinalapproachtoriskmeasurement N MartaCardinandMiguelCouceiro.................................. 79 U T X Contents P Piecewiselineardynamicsystemsforownrisksolvencyassessment RoccoRobertoCerchiaraandFabioLamantia......................... 87I R Valuationoftheconditionalindexationoptioninassetandliability managementofdefinedbenefitpensionfunds RosaCocozza,AngelaGallo,andGiuseppeXella.......................C95 Conditionalperformanceattributionforequityportfolio ClaudioConversanoandAlessioLizzeri ...........................S... 105 Capital requirements for aggregate risks in long term living products: U Astochasticapproach MariarosariaCoppola,AlbinaOrlando,andMassimilianoPolitano........ 115 N Portfolio selection with an alternative measure of risk: Computational performancesofparticleswarmoptimizationandgeneticalgorithms MarcoCorazza,GiovanniFasano,andRiccardoGusso ................. 123 A Interdependenceandcontagionininternationalstockmarkets:Alatent Markovmodelapproach M MicheleCosta,LucaDeAngelis,andLeonardJ.Paas................... 131 Valuationofportfoliolossderivativesinaninfectiousmodel AreskiCousin,DianaDorobantu,andDidierRullie`re ................... 139 Internalriskcontrolbysolvencymeasures D ValeriaD’Amato,EmiliaDiLorenzo,MariaRussolillo,andMarilenaSibillo 149 Measuringmortalityheterogeneityinpensionannuities E ValeriaD’Amato,GabriellaPiscopo,andMariaRussolillo............... 157 IstechnicalanalysisabletobeatmarketinHefficiency? ElisaDaniotti ................................................... 165 Onthedampedgeometrictelegrapher’Ssprocess AntonioDiCrescenzo,BarbaraMartinucci,andShelemyahuZacks ........ 175 I RiskmeasuresandParetostyletails AnnaMariaFiori,EmanuelaRosazzLaGianin,andAnnaSpasova.......... 183 Creditriskandincompleteinformation:Afilteringframework B forpricingandriskmanagement ClaudioFontana................................................. 193 U Claimsreservinguncertaintyinthedevelopmentofinternal riskmodels SalvatoreForte,MatteoIaPlenti,andMarcoPirra....................... 203 N U T Contents XI P Someinequalitiesbetweenmeasuresofmultivariatekurtosis, withapplicationtofinancialreturns I CinziaFranceschiniandNicolaLoperfido ............................ 211 R Thegeneralizedtrapezoidalmodelinfinancialdataanalysis ManuelFranco,JohanRene´ vanDorp,andJuana-Mar´ıaVivo ............C219 Nonparametricestimationofvolatilityfunctions:Someexperimental evidences S FrancescoGiordano,MicheleLaRocca,andCiraPerna ................ 229 U Investigating and modelling the perception of economic security in the SurveyofHouseholdIncomeandWealth MariaIannarioandDomenicoPiccolo ......................N......... 237 Onruinprobabilitiesinriskmodelswithinterestrate NinoKordzakhia,AlexanderNovikov,andGuramiTsitsiashviliA........... 245 Onlongevityrisksecuritizationandsolvencycapitalrequirementsinlife annuities M SusannaLevantesi,MassimilianoMenzietti,andTizianaTorri ............ 255 Modellingthesharepricesasahiddenrandomwalkonthelamplighter group XiaojuanMaandSergeyUtev .................. .................... 263 D Multivariatejumparrivals:Thevariancegammacase RobertoMarfe`................................................... 271 E Modellingtheskewedexponentialpowerdistributioninfinance J.MiguelMar´ınandGenaroSucarrat......H.......................... 279 Compositeindicators:Asectorialperspective MarcoMarozzi .....................S............................. 287 Dynamicmodelofpensionsavingsmanagementwithstochasticinterest I ratesandstockreturns IgorMelichercˇ´ıkandDaniel SˇevcˇoviLcˇ................................ 295 Financialanddemographicrisksimpactonapay-as-you-go B pensionfund RobertaMelisandAlessandroTrudda................................ 305 U Extractingimplied dividendsfrom optionsprices: Someapplicationsto theItalianderivativesmarket MartinaNardonandPaolPoPianca .................................. 315 Generalizationofsomelineartimeseriespropertytononlineardomain N MarcellaNiglioandCosimoDamianoVitale .......................... 323 U T XII Contents P Evaluatingthebehaviorofafunctioninkernelbasedregression MariaLuciaParrella ............................................. 333I R Optimaltradingrulesathourlyfrequencyintheforeignexchange markets DaniloPelusiandMassimoTivegna .................................C341 The influence of correlation and loading on M-V efficient retentions in variablequotashareproportionalreinsurance S FlavioPressaccoandLauraZiani................................... 349 U Goodandbadbanks LucaRegis...................................................... 359 N Taildiversificationstrategy.AnapplicationtoMSCIWorldSector Indices GiorgiaRivieccio................................................ 367 A Marginalizationandaggregationofexponentialsmoothingmodels inforecastingportfoliovolatility M GiacomoSbranaandAndreaSilvestrini .............................. 375 GeneralizationofstratifiedvariancereductionmethodsforMonteCarlo exchangeoptionspricing GiovanniVillani ............................. .................... 383 D Pricediscoveryinadynamicstructuralmodel LeiWuandHansvanderWeide .................................... 393 E SubjectIndex ......................................................403 AuthorIndex ..........................H............................407 S I L B U P N U

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The book develops the capabilities arising from the cooperation between mathematicians and statisticians working in insurance and finance fields. It gathers some of the papers presented at the conference MAF2010, held in Ravello (Amalfi coast), and successively, after a reviewing process, worked out
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