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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 資訊管理學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/41839
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor呂育道(Yuh-Dauh Lyuu)
dc.contributor.authorYing-Chieh Chenen
dc.contributor.author陳盈潔zh_TW
dc.date.accessioned2021-06-15T00:33:51Z-
dc.date.available2009-01-20
dc.date.copyright2009-01-20
dc.date.issued2009
dc.date.submitted2009-01-09
dc.identifier.citation[1] Bollerslev, T. (1986) Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31, pp. 307–327.
[2] Cakici, N., and Topyan, K. (2000) The GARCH Option Pricing Model: A Lattice Approach. Journal of Computational Finance, 3(4), pp. 71–85.
[3] Duan, J.-C. (1995) The GARCH Option Pricing Model. Mathematical Finance, 5(1), pp. 13–32.
[4] Engle, R. (1993) Measuring and Testing the Impact of News on Volatility. Journal of Finance, 48, pp. 1749–1778.
[5] Glosten. L., Jagannathan, R., and Runkle, D. (1993) On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks. Journal of Finance 48, pp. 1779–1801.
[6] Heston, S.L., and Nandi, S. (2000) A Closed-Form GARCH Option Valuation Model. Review of Financial Studies, 13(3), pp. 585–625.
[7] Lyuu, Y.-D., and Wu, C.-N. (2005) An Accurate and Provably Efficient GARCH Option Pricing Tree. Quantitative Finance, 5(2), pp. 181–198.
[8] Ritchken, P., and Trevor, R. (1999) Pricing Options under Generalized GARCH and Stochastic Volatility Processes. Journal of Finance, 54(1), pp. 377–402.
[9] Schwet, G.W. (1989) Why Does Stock Market Volatility Change over Time? Journal of Finance, 44, pp. 1115–1153.
[10] Taylor, S. (1986) Modeling financial time series. Wiley, New York.
[11] Zakoian, J.-M. (1994) Threshold Heteroskedastic Models. Journal of Economic Dynamics and Control, 18, pp. 981–995.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/41839-
dc.description.abstract建立樹狀模型評價選擇權時,我們通常以增加一日的切割數,n,來增進評價的正確性,但增加 n 的同時也降低了評價的效率性。在LGARCH下,樹狀模型隨著 n 增加會導致樹上之總點數呈指數型成長。Lyuu and Wu (2005)發現,在LGARCH下,樹狀模型上之總點數呈指數型成長與否和 n 有關。但並非所有的GARCH模型皆同。我們發現,LGARCH、NGARCH、GJR-GARCH、TS-GARCH和TGARCH有類似之性質,而在Heston-Nandi和VGARCH下,樹狀模型上之總點數呈指數型成長與否則與 n 無關。zh_TW
dc.description.abstractWhen building trees to price options, we often increase the number of partitions per day, n , to improve accuracy. But increasing n often lowers efficiency. Under LARCH, raising n makes the GARCH tree grow exponentially. Lyuu and Wu (2005) prove that the criteria for explosion and non-explosion under LGARCH depend on n . Surprisingly, not all GARCH models share the same property. This thesis proves that LGARCH, NGARCH, GJR-GARCH, TS-GARCH and TGARCH share this property, but the Heston-Nandi model and VAGRCH do not.en
dc.description.provenanceMade available in DSpace on 2021-06-15T00:33:51Z (GMT). No. of bitstreams: 1
ntu-98-R95723051-1.pdf: 1214586 bytes, checksum: 4d8cc6beb002d6beb846b7ba6ee505e4 (MD5)
Previous issue date: 2009
en
dc.description.tableofcontentsChapter 1 Introduction 1
Chapter 2 The GARCH Models and the Change of Measure 3
Chapter 3 The RT Tree 7
Chapter 4 The Mean-Tracking (MT) Tree 11
Chapter 5 LGARCH 15
5.1 The Criterion for Explosion 15
5.2 The Criterion for Non-Explosion 15
5.3 Numerical Results under Explosion Conditions 16
5.4 Numerical Results under Non-Explosion Conditions 17
Chapter 6 NGARCH 19
6.1 The Criterion for Explosion 19
6.2 The Criterion for Non-Explosion 19
6.3 Numerical Results under Explosion Conditions 20
6.4 Numerical Results under Non-Explosion Conditions 21
Chapter 7 GJR-GARCH 23
7.1 The Criterion for Explosion 23
7.2 The Criterion for Non-Explosion 24
7.3 Numerical Results under Explosion Conditions 24
7.4 Numerical Results under Non-Explosion Conditions 25
Chapter 8 TS-GARCH 27
8.1 The Criterion for Explosion 27
8.2 The Criterion for Non-Explosion 28
8.3 Numerical Results under Explosion Conditions 30
8.4 Numerical Results under Non-Explosion Conditions 31
Chapter 9 TGARCH 32
9.1 The Criterion for Explosion 32
9.2 The Criterion for Non-Explosion 33
9.3 Numerical Results under Explosion Conditions 33
9.4 Numerical Results under Non-Explosion Conditions 34
Chapter 10 The Heston-Nandi Model 36
10.1 The Criterion for Explosion 36
10.2 The Criterion for Non-Explosion 38
10.3 Numerical Results under Explosion Conditions 40
10.4 Numerical Results under Non-Explosion Conditions 42
Chapter 11 VGARCH 45
11.1 The Criterion for Explosion 45
11.2 The Criterion for Non-Explosion 46
11.3 Numerical Results under Explosion Conditions 48
11.4 Numerical Results under Non-Explosion Conditions 50
Chapter 12 Conclusion 52
Bibliography 53
dc.language.isoen
dc.subject選擇權評價zh_TW
dc.subjectGARCHzh_TW
dc.subject路徑相關zh_TW
dc.subject三元樹zh_TW
dc.titleGARCH選擇權評價模型之複雜性研究zh_TW
dc.titleThe Complexity of GARCH Option Pricing Modelsen
dc.typeThesis
dc.date.schoolyear97-1
dc.description.degree碩士
dc.contributor.oralexamcommittee戴天時(Tian-Shyr Dai),金國興(Gow-Hsing King)
dc.subject.keywordGARCH,路徑相關,三元樹,選擇權評價,zh_TW
dc.subject.keywordGARCH,path dependency,trinomial tree,option pricing,en
dc.relation.page53
dc.rights.note有償授權
dc.date.accepted2009-01-12
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept資訊管理學研究所zh_TW
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