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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