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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 財務金融學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/38951
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor蘇永成(Yong-Chern Su)
dc.contributor.authorKai-lin Changen
dc.contributor.author張凱淋zh_TW
dc.date.accessioned2021-06-13T16:54:05Z-
dc.date.available2010-07-04
dc.date.copyright2005-07-04
dc.date.issued2005
dc.date.submitted2005-06-15
dc.identifier.citation1.Akaike, H., 1973, Information theory and an extension of the maximum likelihood principle. In: Petrov, B.N., Csaki, F. (Eds), 2nd International Symposium on Information Theory. Akademiai Kiado, Budapest, pp.267-281
2.Ballie, R.T. and P.D. Degennaro, 1990, Stock Returns and Volatility, Journal of Financial and Quantitative Analysis, 25, 203-214
3.Black, F. and M.Scholes, 1973, The Pricing of Options and Corporate Liabilities, Journal of Political Economy, 81, 637-659.
4.Bollerslev, T., 1986, Generalized Autoregressive Conditional Heteroskedasticity, Journal of Econmetrics, 31, 307-327
5.Brandt, M.W., and Q. Kang, 2004, On the relationship between the conditional mean and volatility of stock returns: A latent VAR approach, Journal of Financial Economics, 72, 217-257
6.Chen, C. and C.W.J. Lee , 1990, A Varma test on the Gibson Paradox, Review of Economics and Statistics, 72, 96-107
7.Chen, C. and C.Wu, 1999, The Dynamics of Dividends, Earnings and Prices: Evidence and Implications for Dividend Smoothing and Signaling, Journal of Empirical Finance, 6, 29-58
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17.French, K.R., G..W. Schwert, and R.F.Stambaugh, 1987, Expected stock returns and volatility, Journal of Financial Economics, 19, 3-29
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20.Heston, S., 1993, A Closed-Form Solution for Options with Stochastic Volatility, with Applications to Bond and Currency Options, Review of Financial Studies, 6, 327-343.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/38951-
dc.description.abstract本研究檢驗在封閉解GARCH選擇權模型中的假設下,報酬與變異數序列的關係。論文中設定多方假設檢定來探求兩數列間的因果關係與檢定Heston & Nandi (2000)GARCH選擇權模型中的假設在實證上之結果。各國間指數的實證結果顯示報酬與變異數並未存在同期的完全正相關的特性,亦即同期關係。實證顯示存在單一方向關係,即報酬領先變異數,或者回饋關係,兩數列受到過去資訊交互影響。不同的GARCH模型有相同的結果。此結論可解釋為何HN模型在某些選擇權交易的應用上,如避險行為上,有較差的表現。zh_TW
dc.description.abstractThis paper examines the dynamic relations between return and volatility series under the assumption of closed form GARCH model. A multiple hypotheses testing method is employed to identify causal relations between the two series and to test the empirical implication of the assumption of Heston and Nandi (2000) on GARCH option pricing model. The international empirical results show that returns and volatility series do not perfectly correlated instantaneously, that is contemporaneous relation. There exists unidirectional, return lead volatility, or feedback relation; two series are cross-correlated by past information. Different GARCH models also have the same result. It is found that return leads volatility. This result help explain why HN model has inferior performance in some option application, such as hedging.en
dc.description.provenanceMade available in DSpace on 2021-06-13T16:54:05Z (GMT). No. of bitstreams: 1
ntu-94-R92723080-1.pdf: 422130 bytes, checksum: 6a672f02d706844a5e0c46dbcea443e5 (MD5)
Previous issue date: 2005
en
dc.description.tableofcontentsContent
1. Introduction 1
2. Literature Review 3
2.1 GARCH Option Pricing Model 3
2.2 The Relation between Return and Volatility series 6
2.3 GARCH Continuous Limit Process 6
2.4 Empirical Studies on Heston and Nandi model 7
3. Data Description and Related test 9
4. Methodology 11
4.1 GARCH models 11
4.1.1.Mean equation 11
4.1.2.Variance equation 11
4.2 Causality testing procedure 13
4.2.1 Definition of Granger’s Causal Relation 13
4.2.2 A VAR test on dynamic relations between variables 14
4.2.3 A multiple hypotheses testing procedure 16
4.3 Testing procedure 17
5. Empirical results 20
5.1 Daily result 20
5.1.1 GARCH parameters 20
5.1.2 Causality relations 21
5.2 Weekly result 22
5.2.1 GARCH parameters 22
5.2.2 Causality relations 23
6. Conclusion 25
References 27
Figure 1: Causality Backward Testing procedure 30
Figure 2: Causality Forward Testing Procedure 31
Table 1 Unit root test result 32
Table 2 VAR order selection 35
Table 3 Hypotheses on the dynamic relations of a bivariate system 39
Table 4 Estimation of GARCH in Mean Models for Daily Returns Data 40
Table 5 Causality results of likelihood ratio tests in daily level series 46
Table 6 Causality results of likelihood ratio tests on daily level series of error and differenced series of volatility 50
Table 7 Estimation of GARCH in Mean Models for Weekly Returns Data 54
Table 8 Causality results of likelihood ratio tests on weekly level series 60
Table 9 Causality results of likelihood ratio tests on weekly level series of error and differenced series of volatility 64
dc.language.isoen
dc.subjectGARCH選擇權模型zh_TW
dc.subjectGARCHzh_TW
dc.subject報酬與變異數zh_TW
dc.subject因果關係zh_TW
dc.subjectGARCHen
dc.subjectGARCH option pricingen
dc.subjectCausalityen
dc.subjectreturn and volatilityen
dc.title在封閉解GARCH選擇權模型下,報酬與變異數序列是否有相同的驅動因子?zh_TW
dc.titleDo return and volatility series share the same drive in closed-form GARCH option pricing model?en
dc.typeThesis
dc.date.schoolyear93-2
dc.description.degree碩士
dc.contributor.oralexamcommittee胡星陽(Shing-Yang Hu),王耀輝(Yaw-Huei Wang)
dc.subject.keywordGARCH,報酬與變異數,因果關係,GARCH選擇權模型,zh_TW
dc.subject.keywordGARCH option pricing,Causality,return and volatility,GARCH,en
dc.relation.page67
dc.rights.note有償授權
dc.date.accepted2005-06-15
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept財務金融學研究所zh_TW
顯示於系所單位:財務金融學系

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