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    Efficient and robust calibration of the Heston option pricingSearch Algorithm赫斯頓期權(quán)定價(jià)的高效穩(wěn)健校正 使用改良布谷鳥(niǎo)的美式期權(quán)模型 搜索算法

    Efficient and robust calibration of the Heston option pricingSearch Algorithm赫斯頓期權(quán)定價(jià)的高效穩(wěn)健校正 使用改良布谷鳥(niǎo)的美式期權(quán)模型 搜索算法

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    頁(yè)數(shù):10頁(yè)

    時(shí)間:2019-08-08

    Efficient and robust calibration of the Heston option pricingSearch Algorithm赫斯頓期權(quán)定價(jià)的高效穩(wěn)健校正 使用改良布谷鳥(niǎo)的美式期權(quán)模型 搜索算法_第1頁(yè)
    Efficient and robust calibration of the Heston option pricingSearch Algorithm赫斯頓期權(quán)定價(jià)的高效穩(wěn)健校正 使用改良布谷鳥(niǎo)的美式期權(quán)模型 搜索算法_第2頁(yè)
    Efficient and robust calibration of the Heston option pricingSearch Algorithm赫斯頓期權(quán)定價(jià)的高效穩(wěn)健校正 使用改良布谷鳥(niǎo)的美式期權(quán)模型 搜索算法_第3頁(yè)
    Efficient and robust calibration of the Heston option pricingSearch Algorithm赫斯頓期權(quán)定價(jià)的高效穩(wěn)健校正 使用改良布谷鳥(niǎo)的美式期權(quán)模型 搜索算法_第4頁(yè)
    Efficient and robust calibration of the Heston option pricingSearch Algorithm赫斯頓期權(quán)定價(jià)的高效穩(wěn)健校正 使用改良布谷鳥(niǎo)的美式期權(quán)模型 搜索算法_第5頁(yè)
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    《Efficient and robust calibration of the Heston option pricingSearch Algorithm赫斯頓期權(quán)定價(jià)的高效穩(wěn)健校正 使用改良布谷鳥(niǎo)的美式期權(quán)模型 搜索算法》由會(huì)員上傳分享,免費(fèi)在線閱讀,更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫(kù)

    1、EcientandrobustcalibrationoftheHestonoptionpricingmodelforAmericanoptionsusinganimprovedCuckooSearchAlgorithmStefanHaringRonaldHochreiterAugust3,2015AbstractInthispaperanimprovedCuckooSearchAlgorithmisdevelopedtoallowforanecientandrobustcalibrationoftheHestonopt

    2、ionpricingmodelforAmericanoptions.CalibrationofstochasticvolatilitymodelsliketheHestonissigni cantlyharderthanclassicaloptionpricingmodelsasmoreparametershavetobeestimated.ThediculttaskofcalibratingoneofthesemodelstoAmericanPutoptionsdataisthemainobjectiveofthisp

    3、aper.Numericalresultsareshowntosubstantiatethesuitabilityofthechosenmethodtotacklethisproblem.Keywords.Optionpricing,Hestonmodel,Cuckoosearch,Finance1IntroductionTheclassicaltextbookexampleforpricingoptionsisthefamousBlack-Scholesmodel,see[1].Sinceitscreationin197

    4、3,ithascausedadramaticincreaseinoptionstradingbecauseofitsrelativelysimpleusability.Itprovidesclosed-formsolutionsforEuropeanCallandPutoptionsaswellasAmericanCalloptions.ForAmericanPutoptions,noclosed-formsolutionexistsbecauseanoptimalstoppingtimeproblemhastobesol

    5、ved.Overtheyears,criticismoftheBlack-Scholesmodelhasarisensinceitdoesnotaccuratelycapturethebehaviourofoptionpricesinthemarket.Forexample,thewell-knownvolatilitysmile,whichshowsthatdeepinthemoneyandoutthemoneyoptionshavehigherprices(andthereforehigherimpliedvolati

    6、lity),isnottakenintoaccountintheBlack-Scholesmodelsinceoneofitsmainassumptionsisconstantvolatility.Toaccuratelyre ectmarketbehaviour,optionpricingmodelsinwhichvolatilitychangesovertime,so-calledstochasticvolatilitymodels,havebeencreated.Inthesemodels,thevolatility

    7、isitselffollowingaprocessthatchangeswithtimet.SomeexamplesforthesemodelsaretheHestonmodel[2],theCEVmodel[3][4]andtheChenmodel[5].Calibrationofthesestochasticvolatilitymodelsissigni cantlyharderthanfortheBlack-arXiv:1507.08937v1[cs.NE]31Jul2015Scholesmodel,sincemor

    8、eparametershavetobeestimated.ThediculttaskofcalibratingoneofthesemodelstoAmericanPutoptionsdataisthemainobjectiveofthispaper.WewillfocusontheHestonmode

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