




版权说明:本文档由用户提供并上传,收益归属内容提供方,若内容存在侵权,请进行举报或认领
文档简介
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
温馨提示
- 1. 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。图纸软件为CAD,CAXA,PROE,UG,SolidWorks等.压缩文件请下载最新的WinRAR软件解压。
- 2. 本站的文档不包含任何第三方提供的附件图纸等,如果需要附件,请联系上传者。文件的所有权益归上传用户所有。
- 3. 本站RAR压缩包中若带图纸,网页内容里面会有图纸预览,若没有图纸预览就没有图纸。
- 4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
- 5. 人人文库网仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对用户上传分享的文档内容本身不做任何修改或编辑,并不能对任何下载内容负责。
- 6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
- 7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。
最新文档
- 晋升副高工作总结(28篇)
- 江苏省徐州市铜山区2024-2025学年七年级下学期期中生物试题(含答案)
- 广东省珠海部分学校2024-2025学年七年级下学期期中考试生物试题
- 2025年吉林省长春市汽开区第九中学中考一模物理试卷(含解析)
- 2023年煤炭工业合肥设计研究院有限责任公司校园招聘及社会招聘笔试参考题库附带答案详解
- 2025至2031年中国台式手动调色机行业投资前景及策略咨询研究报告
- 2025至2031年中国参阳胶囊行业投资前景及策略咨询研究报告
- 2025至2031年中国卡车滤清器行业投资前景及策略咨询研究报告
- 中班健康活动:小心烫伤
- 2025至2031年中国全自动马达转子绝缘涂敷机行业投资前景及策略咨询研究报告
- DB11T 1340-2022 居住建筑节能工程施工质量验收规程
- 人音版六年级音乐下册(简谱)第4课《明天会更好》教学设计
- 小学英语牛津上海版5B Unit2 Weather George in four seasons部优课件
- 中央空调(多联机)施工方案
- 建筑工人实名制管理及农名工工资支付有关事项流程图
- 欢迎上级领导莅临检查指导
- 信用修复申请书
- “十四五”生物质能源发展规划
- “育鲲”轮转叶式舵机工作原理和电气控制以及故障分析
- 智力七巧板校本课程开发教案
- 陕旅版四年级下册英语全册教案及各单元知识点总结
评论
0/150
提交评论