multi-scale jump and volitality analysis for high-frequency financial data

multi-scale jump and volitality analysis for high-frequency financial data

ID:39718239

大?。?98.20 KB

頁數(shù):40頁

時間:2019-07-10

multi-scale jump and volitality analysis for high-frequency financial data_第1頁
multi-scale jump and volitality analysis for high-frequency financial data_第2頁
multi-scale jump and volitality analysis for high-frequency financial data_第3頁
multi-scale jump and volitality analysis for high-frequency financial data_第4頁
multi-scale jump and volitality analysis for high-frequency financial data_第5頁
資源描述:

《multi-scale jump and volitality analysis for high-frequency financial data》由會員上傳分享,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。

1、Multi-scaleJumpandVolatilityAnalysisforHigh-FrequencyFinancialData¤JianqingFanandYazhenWangVersionofMay2007AbstractThewideavailabilityofhigh-frequencydataformanyˉnancialinstrumentsstimulatesanupsurgeinterestinstatisticalresearchontheestimationofvolatil-ity.Jump-di?us

2、ionprocessesobservedwithmarketmicrostructurenoisearefrequentlyusedtomodelhigh-frequencyˉnancialdata.Yet,existingmethodsaredevelopedforeithernoisydatafromacontinuousdi?usionpricemodelordatafromajump-di?usionpricemodelwithoutnoise.Weproposemethodstocopewithbothjumpsint

3、hepriceandmarketmicrostructurenoiseintheobserveddata.Theyallowustoestimatebothintegratedvolatilityandjumpvariationfromthedatasampledfromjump-di?usionpriceprocesses,contam-inatedwiththemarketmicrostructurenoise.OurapproachistoˉrstremoveJianqingFanisFrederickMoore'18Pr

4、ofessorofFinance,DepartmentofOperationResearchandFinancialEngineering,PrincetonUniversity,Princeton,NJ08544.YazhenWangisprofessor,DepartmentofStatistics,UniversityofConnecticut,Storrs,CT06269.Fan'sresearchwaspartiallysupportedbysupportedbytheNSFgrantDMS-0532370andWan

5、g'sresearchwaspartiallysup-portedbytheNSFgrantDMS-0504323.Theauthorsthanktheeditor,associateeditor,andtwoanonymousrefereesforstimulatingcommentsandsuggestions,whichledtosigniˉcantimprovementsinbothsubstanceandthepresentationofthepaper.1jumpsfromthedataandthenapplynoi

6、se-resistantmethodstoestimatetheintegratedvolatility.Theasymptoticanalysisandthesimulationstudyrevealthattheproposedwaveletmethodscansuccessfullyremovethejumpsinthepriceprocessesandtheintegratedvolatilitycanbeestimatedasaccuratelyasinthecasewithnopresenceofjumpsinthe

7、priceprocesses.Inaddition,theyhaveoutstandingstatisticale±ciency.Themethodsareillustratedbyapplicationstotwohigh-frequencyexchangeratedatasets.1IntroductionDi?usionbasedstochasticmodelsareoftenemployedtodescribecomplexdynamicsystemswhereitisessentialtoincorporateinte

8、rnallyorexternallyoriginatingran-dom°uctuationsinthesystem.Theyhavebeenwidelyappliedtoproblemsinˉeldssuchasbiology,engineering,ˉnan

當(dāng)前文檔最多預(yù)覽五頁,下載文檔查看全文

此文檔下載收益歸作者所有

當(dāng)前文檔最多預(yù)覽五頁,下載文檔查看全文
溫馨提示:
1. 部分包含數(shù)學(xué)公式或PPT動畫的文件,查看預(yù)覽時可能會顯示錯亂或異常,文件下載后無此問題,請放心下載。
2. 本文檔由用戶上傳,版權(quán)歸屬用戶,天天文庫負(fù)責(zé)整理代發(fā)布。如果您對本文檔版權(quán)有爭議請及時聯(lián)系客服。
3. 下載前請仔細(xì)閱讀文檔內(nèi)容,確認(rèn)文檔內(nèi)容符合您的需求后進(jìn)行下載,若出現(xiàn)內(nèi)容與標(biāo)題不符可向本站投訴處理。
4. 下載文檔時可能由于網(wǎng)絡(luò)波動等原因無法下載或下載錯誤,付費(fèi)完成后未能成功下載的用戶請聯(lián)系客服處理。