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Æ?èµ10384 ÆÒµ27720121152619 aò? UDC a Æ Ø aºxéïïñdk ))±FDAØÏAƒ Û The Effect of Jump Risk on Option Bid-Ask Spread Using Functional Data Analysis to Detrend Maturity Effect 6 µ 4d ; µ 7KÆ Ø JFϵ Ø Fžmµ x Ç!ÏnÇ 2 0 1 5 c 0 3 2 0 1 5 c 0 5 Æ ÇƒFϵ 2 0 1 5 c 0 6 F ÌRµ µ <µ 2015 c

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Á Ï ]½ ØŒ½" Ü Ùäkd uy!@ï Š!ºx+nŠ^"I ÆöéÏïÄ ²¹ä5 éï½d!å ÄÇ!éÀ ŒþïÄ", Æ.é½ ( AO Ï ïñdù ïä D / Æâ x" ïäuaºxéuïïñdk "duüïs±û ¹ÅÄÇÝþÏïñd3X²wÏA 3 O ^ {üïžm{ú î ¼ê.êâ Û{ØÏAK ƒ y ae,éïïñd K " ^2011cÝS&P 500 27 d ±9éAÏpªêâ ^šë {?1a uÿúož ^þãü«{øïa?øaéïï ñdk " 3 y Û uya1 éïïñ wík µéu Ïžm{ª³ƒ O O0.0075% zza za ÝO1% ØÏAÏïñd O1% ƒaøïa Ïïñdå O70.86%"éu¼ê.êâ Û {ª³ƒ z aþšo1% ØÏAÏïñd ü$0.28% a σŠ NO1% ØÏAÏïñd ü$55.14%"ïd Ùl y y ½ a1 éïïñd K "þy50etf Ïmé ïäéu3uðisï½ ' cµïñd!a!¼ê.êâ I XIS½ Ú\Ïž ÓäkcÇ5 Â" I

Abstract Option market as a essential part of capital market, has the function of price finding, hedging and risk management, etc. There are plenty research focus on option pricing, volatility and hedging, but the research on market microstructure, especially on option bid-ask spread per se is sparse. This paper mainly focus on the effect of jump risk on option bid-ask spread. There are maturity effect of option bid-ask spread in each contract term, in order to remove the effect of maturity, we apply two method to detrend data: time to maturity method and functional data analysis method. After we remove the maturity effect, we confirm the effect of jump risk on option bid-ask spread. Based on the high-frequency data, we target on 27 stocks and options of S&P 500. Firstly realized jump variance is calculated using nonparametric method. Secondly maturity effect is removed using time to maturity method and functional data analysis method, respectively. At last we explore the effect of jump risk on option bid-ask spread using panel data regression. In our empirical analysis, we found that jump, does affect option bid-ask spread. Under time to maturity method, our regression shows that for one percent increase in jump density, the detrended option bid-ask spread will increase by 0.0075 percent, for for one percent increase in jump standard deviation, the intercept of detrended option bid-ask spread increase by 70.86% percent. Under functional data analysis method, our regression shows that for one percent increase in jump size mean, the detrended option bid-ask spread will decrease by 0.28 percent, taking jump factor as a whole, for one percent increase in jump, the detrended option bid-ask spread will decrease by 55.14 percent. Therefore, this paper empirically shows that jump has influence on option bidask spread. The Shanghai 50 ETF option is a symbol of the beginning of option era in China, our research also has empirical influence on China s option market. Key Words: Bid-ask spread, Jump, Functional data, III

8 ¹ Á... I Abstract... III 1 Ù XØ... 1 1.1 ïäµ Â....................................................... 1 1.2 ïäg µe....................................................... 2 1Ù znã... 5 2.1 ÏA.............................................................. 5 2.1.1 Ͻ þïñd............................................ 5 2.1.2 Ͻ þïa............................................ 7 2.2 ¼ê.êâ Û....................................................... 10 2.2.1 ¼ê.êâ Û {{....................................... 11 2.2.2 ¼ê.êâ²w?n {......................................... 11 2.3 yaåäç..................................................... 14 2.3.1 yaåäçïäuð.................................... 14 2.3.2 uÿa {................................................... 15 1nÙ.ï... 17 3.1 BSMÛ¹ÅÄÇ....................................................... 17 V

3.2 žmª³[ü......................................................... 18 3.3 ¼ê.êâ Û................................................... 20 3.3.1 ^¼ê.êâ Û?1²w?n................................ 20 3.3.2 ò v^l«ü........................................ 22 3.4 yaåäç..................................................... 24 3.5 êâ 8...................................................... 25 1oÙ y Û... 29 4.1 êâ................................................................... 29 4.2 (J`².............................................................. 33 4.2.1 [Üí'..................................................... 33 4.2.2 Ïžm{[Üí 8 Û.................................... 34 4.2.3 ¼ê.êâ Û{[Üí 8 Û............................. 37 4.2.4 \\N Cþ 8u......................................... 40 1ÊÙ (Ø... 43 5.1 Ì (Ø.............................................................. 43 5.2 Øv Ð"............................................................ 44 ë z... 47... 50 VI

Table of Contents Abstract in Chinese... I Abstract in English... III Chapter 1 Introduction... 1 1.1 Motivation and Background........................................... 1 1.2 Methodology and Structure............................................ 2 Chapter 2 Literature Review... 5 2.1 Maturity Effect........................................................ 5 2.1.1 Option Bid-Ask Spread............................................. 5 2.1.2 Maturity Effect in Option Market................................... 7 2.2 Functional Data Analysis.............................................. 10 2.2.1 History of Functional Data Analysis................................. 11 2.2.2 Smoothing the Functional Data..................................... 11 2.3 Realized Jump Variance............................................... 14 2.3.1 Development of Realized Jump Variance............................ 14 2.3.2 Detect the Jump.................................................... 15 Chapter 3 Model Setup... 17 3.1 BSM Implied Volatility................................................. 17 VII

3.2 Time to Maturity Method.............................................. 18 3.3 Functional Data Analysis Method...................................... 20 3.3.1 Smoothing Using Functional Data Analysis.......................... 20 3.3.2 Penalized Splines as Mixed Model.................................. 22 3.4 Realized Jump Variance............................................... 24 3.5 Panel Data Regression................................................. 25 Chapter 4 Empirical Analysis... 29 4.1 Data................................................................... 29 4.2 Result Analysis........................................................ 33 4.2.1 Comparison of Fitting Error......................................... 33 4.2.2 Fitting Error Regression Analysis of Time to Maturity Method........ 34 4.2.3 Fitting Error Regression Analysis of Functional Data Analysis Method............................................................ 37 4.2.4 Regression Test for Addition Variable............................... 40 Chapter 5 Conclusion... 43 5.1 Conclusion............................................................. 43 5.2 Problems and Future Work............................................ 44 Reference... 47 Acknowledgements... 50 VIII

1 Ù XØ 1.1 ïäµ Â Ï½ Ù]½ Ü duùõa( X"Ú Æ!pm\5 Ù É< '5"glBlackÚScholes (1973)[1]JÑ ²;Ͻd.BSM.ƒ 'uû) AO ÏïÄX Sœ kñ5 8Uû) ½ e5j ÆâÄ:"û) ½ c ٠Ͻ Ùé]½ K ÏŠ!ºx+nŠ^"Òù ÅÄÇ ïäñ ÆâïÄ " 3Înƒ' zl uy 㜠û) kxãxd uy!@ 5ù éû) AO éï½d! CÆ.ïÄ 'u½ ( AO Ï6Ä5))ïñdù ïä D é Ï6Ä5ïÄÒ Wei ÚZheng (2012)[2] "ùò3e?ïä x"ï½ ïñdòäk  cù é Jø6Ä5 ½ûó" YkÆöºYuLïÄ Ñ Ï½ ¹&EþãŒ Ï þ 3Xé 5 d ]Õ $ Œ±ý ÿi]± Ç Easley O HaraÚSrinivas (1998)[3] Cherian ÚWeng (1999)[4] PanÚPoteshman (2006)[5] ù`²ï½ ½ K ¹&E é ãœ"q,ï½ ½ ƒm'xxd; ƒ éž CÆ. 9 ïä )) ½ a1 g,,ò kùž{µ ½ l~ª³/a0 Ͻ ïñd Ùm Ø 3 'XºŠâù«²L ú (ÜaÚ ïñd A: û)ñù Kµ ½ a1 ± yaåäç Ýþ ÄéϽ ïñd ±ïñdû ¹ÅÄÇ Ýþ K ºe5 C;;Œ7ù K 3* Ï ïñdïaƒ Äk ^{üžmª³?1ª³ ÁãØ 1

1.2 ïäg µe õ{&e &ÄaéÏïñdK " Ú\ î ¼ê.ê â Û {?1ª³z?n 2géÙ?1XÚ! ÆïÄ" aéïïñdk Ù²L ú5umerton (1976)[6] Ù 3Ï~ÙK$ă \\al ^±L«dÅÄ ØëY Ü btü aºx Œ± Ñ"3y87K½ ˆ ½ºx ÑÝ I I]êâ3ØäO\"ù Ò 3ؽ Ï ½û ØUÏLéÀ55;Kaºx a " u) KÏ ½ûK á=.œïñd± NdaK ïä3nøú ÏïñdïÄ lnø þñäk Â"éuÏ6Ä5)) Ï6Ä5ïÄ 3yϽ ÏAƒ {?1ª³z U&Ä ½ a1 þ5ù ïä*ðé]½ Ýþ Ͻ ïñd ±ïñdû¹åäç Äuü«ØÓ ± yaåäç Ýþ ƒmƒ' 'X" (Ø }Á ù«ƒ''xïé²læ Âþ)º"lA^ þ5` éï½ 6Ä5ïÄ ISϽ ÅÚm cç5&?"2015 c2 9 F þy50etf Ϫmé I XIS ]½ Ïž 5"Œ±ýÏ Y Ï òåúm 3žIS]½ òåúò X{I]½ Ù½ " éï 6Ä5cÇ5ïÄ 1.2 ïäg µe 7ò ISÏuÐ 5 ½é«" Ì ïäaéïïñdk än5ù = ½ yaåäç Ͻ ïñdû¹åäçƒmƒ''x" 3 ïäl ªrºØ ÌK 3(@ÏÏA3ƒ ØÏžméïñdK ÀJéêâ?1ª³z?n òï 2

Degree papers are in the Xiamen University Electronic Theses and Dissertations Database. Full texts are available in the following ways: 1. If your library is a CALIS member libraries, please log on http://etd.calis.edu.cn/ and submit requests online, or consult the interlibrary loan department in your library. 2. For users of non-calis member libraries, please mail to etd@xmu.edu.cn for delivery details.