Hull經(jīng)典衍生品教科書(shū)第9版官方PPT,第23章_第1頁(yè)
Hull經(jīng)典衍生品教科書(shū)第9版官方PPT,第23章_第2頁(yè)
Hull經(jīng)典衍生品教科書(shū)第9版官方PPT,第23章_第3頁(yè)
Hull經(jīng)典衍生品教科書(shū)第9版官方PPT,第23章_第4頁(yè)
Hull經(jīng)典衍生品教科書(shū)第9版官方PPT,第23章_第5頁(yè)
已閱讀5頁(yè),還剩29頁(yè)未讀, 繼續(xù)免費(fèi)閱讀

下載本文檔

版權(quán)說(shuō)明:本文檔由用戶提供并上傳,收益歸屬內(nèi)容提供方,若內(nèi)容存在侵權(quán),請(qǐng)進(jìn)行舉報(bào)或認(rèn)領(lǐng)

文檔簡(jiǎn)介

Chapter23

EstimatingVolatilitiesandCorrelationsOptions,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull20141StandardApproachtoEstimatingVolatility

(page521)Definesnasthevolatilityperdaybetweendayn-1anddayn,asestimatedatendofday

n-1DefineSiasthevalueofmarketvariableatendofdayiDefineui=ln(Si/Si-1)Options,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull20142SimplificationsUsuallyMade

inRiskManagement(page522)Set

ui=(Si?Si-1)/Si-1AssumethatthemeanvalueofuiiszeroReplacem?1bymThisgivesOptions,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull20143WeightingScheme InsteadofassigningequalweightstotheobservationswecansetOptions,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull20144ARCH(m)Model

(page523)InanARCH(m)modelwealsoassignsomeweighttothelong-runvariancerate,VL:Options,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull20145EWMAModelInanexponentiallyweightedmovingaveragemodel,theweightsassignedtotheu2declineexponentiallyaswemovebackthroughtimeThisleadstoOptions,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull20146ToShowthatWeightsDeclineExponentiallyOptions,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull20147AttractionsofEWMARelativelylittledataneedstobestoredWeneedonlyrememberthecurrentestimateofthevariancerateandthemostrecentobservationonthemarketvariableTracksvolatilitychanges0.94isapopularchoiceforlOptions,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull20148GARCH(1,1)

page525 InGARCH(1,1)weassignsomeweighttothelong-runaveragevariancerate Sinceweightsmustsumto1g+a+b=1Options,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull20149GARCH(1,1)continued Settingw=gVtheGARCH(1,1)modelis andOptions,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201410Example

(Example23.2,page525)SupposeThelong-runvariancerateis0.0002sothatthelong-runvolatilityperdayis1.4%Options,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201411ExamplecontinuedSupposethatthecurrentestimateofthevolatilityis1.6%perdayandthemostrecentpercentagechangeinthemarketvariableis1%.Thenewvariancerateis Thenewvolatilityis1.53%perdayOptions,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201412GARCH(p,q)

Options,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201413MaximumLikelihoodMethodsInmaximumlikelihoodmethodswechooseparametersthatmaximizethelikelihoodoftheobservationsoccurringOptions,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201414Example1Weobservethatacertaineventhappensonetimeintentrials.Whatisourestimateoftheproportionofthetime,p,thatithappens?TheprobabilityoftheeventhappeningononeparticulartrialandnotontheothersisWemaximizethistoobtainamaximumlikelihoodestimate.Result:p=0.1(asexpected)Options,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201415Example2

EstimatethevarianceofobservationsfromanormaldistributionwithmeanzeroOptions,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201416ApplicationtoGARCH WechooseparametersthatmaximizeOptions,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201417S&P500ExcelApplicationStartwithtrialvaluesofw,a,andb

UpdatevariancesCalculateUsesolvertosearchforvaluesofw,a,andbthatmaximizethisobjectivefunctionForefficientoperationofSolver:setupspreadsheetsothatthreenumbersthatarethesameorderofmagnitudearebeingsearchedforOptions,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201418S&P500ExcelApplication(Table23.1)Options,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201419DateDaySiui=(Si?Si-1)/Si-1vi=si2?ln(vi)

?ui2/vi18-Jul-200511221.1319-Jul-200521229.350.00673120-Jul-200531235.200.0047590.000045319.502221-Jul-200541227.04?0.0066060.000044479.0393…….…..…….………..………….…………13-Aug-201012791079.25?0.0040240.000163278.6209Total10,228.2349TheResults(Figure23.2,page530)Options,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201420VarianceTargetingOnewayofimplementingGARCH(1,1)thatincreasesstabilityisbyusingvariancetargetingWesetthelong-runaveragevolatilityequaltothesamplevarianceOnlytwootherparametersthenhavetobeestimatedOptions,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201421HowGoodistheModel?TheLjung-BoxstatistictestsforautocorrelationWecomparetheautocorrelationofthe ui2withtheautocorrelationoftheui2/si2Options,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201422ForecastingFutureVolatility

(equation23.13,page532)

Afewlinesofalgebrashowsthat ThevariancerateforanoptionexpiringondaymisOptions,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201423ForecastingFutureVolatilitycontinued(equation23.14,page534)Options,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201424S&PExamplew=0.0000013465,a=0.083394,b=0.910116Options,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201425OptionLife(days)103050100500Volatility(%perannum)27.3627.1026.8726.3524.32VolatilityTermStructuresGARCH(1,1)suggeststhat,whencalculatingvega,weshouldshiftthelongmaturityvolatilitieslessthantheshortmaturityvolatilitiesWheninstantaneousvolatilitychangesbyDs(0),volatilityforT-dayoptionchangesbyOptions,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201426ResultsforS&P500(Table23.4)Wheninstantaneousvolatilitychangesby1%Options,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201427OptionLife(days)103050100500Volatilityincrease(%)0.970.920.870.770.33CorrelationsandCovariances(page535-537)Definexi=(Xi?Xi-1)/Xi-1andyi=(Yi?Yi-1)/Yi-1Alsosx,n:dailyvolofXcalculatedondayn?1sy,n:dailyvolofYcalculatedondayn?1covn:covariancecalculatedondayn?1Thecorrelationiscovn/(sx,nsy,n)Options,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201428UpdatingCorrelationsWecanusesimilarmodelstothoseforvolatilitiesUnderEWMA covn

=lcovn-1+(1-l)xn-1yn-1Options,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201429PositiveFiniteDefiniteCondition Avariance-covariancematrix,W,isinternallyconsistentifthepositivesemi-definitecondition

forallvectorswOptions,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201430Example Thevariance-covariancematrix isnotinternallyconsistentOptions,Futures,andOtherDerivatives,9thEdition,Copyright?JohnC.Hull201431VolatilitiesandCorrelationsforFour-Inde

溫馨提示

  • 1. 本站所有資源如無(wú)特殊說(shuō)明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請(qǐng)下載最新的WinRAR軟件解壓。
  • 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請(qǐng)聯(lián)系上傳者。文件的所有權(quán)益歸上傳用戶所有。
  • 3. 本站RAR壓縮包中若帶圖紙,網(wǎng)頁(yè)內(nèi)容里面會(huì)有圖紙預(yù)覽,若沒(méi)有圖紙預(yù)覽就沒(méi)有圖紙。
  • 4. 未經(jīng)權(quán)益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
  • 5. 人人文庫(kù)網(wǎng)僅提供信息存儲(chǔ)空間,僅對(duì)用戶上傳內(nèi)容的表現(xiàn)方式做保護(hù)處理,對(duì)用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯,并不能對(duì)任何下載內(nèi)容負(fù)責(zé)。
  • 6. 下載文件中如有侵權(quán)或不適當(dāng)內(nèi)容,請(qǐng)與我們聯(lián)系,我們立即糾正。
  • 7. 本站不保證下載資源的準(zhǔn)確性、安全性和完整性, 同時(shí)也不承擔(dān)用戶因使用這些下載資源對(duì)自己和他人造成任何形式的傷害或損失。

評(píng)論

0/150

提交評(píng)論