跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.82) 您好!臺灣時間:2026/02/20 08:43
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:周運成
研究生(外文):CHOU, YUNG-CHEN
論文名稱:台灣股票期貨到期前異常報酬及波動度不對稱之研究
論文名稱(外文):THE ABNORMAL RETURN AND VOLATILITY ASYMMETRIC BEFOREEXPIRATION IN TAIWAN SINGLE-STOCK FUTURES
指導教授:古永嘉古永嘉引用關係
口試委員:吳怡芳洪儒瑤
口試日期:2013-05-23
學位類別:碩士
校院名稱:國立臺北大學
系所名稱:企業管理學系
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:中文
論文頁數:74
中文關鍵詞:單一股票期貨到期效應EGARCH 模型
外文關鍵詞:Single Stock FuturesExpiration EffectEGARCH Model
相關次數:
  • 被引用被引用:1
  • 點閱點閱:284
  • 評分評分:
  • 下載下載:14
  • 收藏至我的研究室書目清單書目收藏:1
全球期貨及其他衍生性商品市場日益蓬勃發展,而股票期貨堪稱是1982 年股價指
數期貨推出之後,股權類衍生性商品的另一項明星商品。美國國會「兩千年商品期貨
現代化法案」(Commodity Futures Modernization Act of 2000, CFMA)對於股票期貨發
行的解禁後才逐具規模。由於股票期貨具有成本低廉、操作靈活及更具效率之特性,
已成為開發中國家交易所之明星商品。而到期效應是指期貨與選擇權到期結算的時刻
對其現貨標的之衝擊,造成現貨市場價格、波動、與交易量異常的現象,而這些異常
的現象,是全球主要金融市場投資人及監理單位熱切關注的重要議題。
過去對於到期效應的研究當中多為指數期貨的到期效應,研究重心也著重於美國
市場,本研究蒐集了台灣期貨交易所三檔股票期貨資料(台積電、鴻海、聯發科),資
料期間為2010 年六月到2012 年十月的日資料,共29 個到期日,引入EGARCH 模型,
並設計虛擬變數,檢視在到期前五天,股票現貨報酬率、股票期貨報酬率、期貨及現
貨的交易口數和成交值以及基差是否有異常的變異及波動不對稱情形。更進一步地,
本研究設計未平倉量和到期日的交互作用虛擬變數檢視以上變數是否存在到期效應。
研究果顯示,台積電及聯發科之各變數均有顯著異常報酬及波動不對稱之情形,
相對之下,鴻海的到期效應則不太明顯。而未平倉量為一到期效應之重要門檻。
Global futures and other derivatives market has bloomed in recent years. Single
stock futures is another golden cow of equity derivatives since the index futures
established in 1982. Single stock futures have reached scale since the U.S congress
imposed Commodity Futures Modernization Act of 2000 and lift a ban of single stock
futures. Because of the characteristic of low cost, easy to long or short and more
efficiency, it has become a popular financial product in the exchange of emerging
market. The expiration effect is the impact to abnormal spot market price, volatility
and trading volume due to its futures and options expire on settlement day. And these
abnormal phenomenon is an important issue focused by global financial market
investors and regulation department. Former researches on expiration effect mostly
focus on index futures in U.S market but single stock futures. This research we collect
three of single stock futures trading in the Taiwan Futures Exchange. The daily data
we use is during 2010 June to 2012 October, 29 expiration day as total. We induct
EGARCH model and design dummy variables in order to investigate whether there
exist abnormal return and volatility asymmetric. Furthermore, we design a interactive
effect dummy variable between open interest and the due date to see whether there
exist expiration effect. The empirical result show that does exist significant volatility
asymmetric in expiration day or before expiration day.
第一章 緒論............................................................................................. 1
第一節 單一股票期貨簡介 ............................................................. 1
第二節 到期效應 .............................................................................. 3
第三節 研究動機與目的.................................................................. 5
第二章 文獻探討 .................................................................................... 7
第一節 單一股票期貨相關文獻 ..................................................... 7
第二節 到期效應相關文獻探討 ..................................................... 8
第三節 波動不對稱與EGARCH 模型 ......................................... 11
第三章 研究方法 .................................................................................. 13
第一節 變數定義與研究流程 ....................................................... 13
第二節 敘述統計 ............................................................................ 15
第二節 恆定性檢定–Augmented Dickey-Fuller 單根檢定 ......... 18
第三節 自我相關檢定–Ljung-Box Q 檢定 ................................. 20
第四節 ARCH-LM 檢定 ............................................................... 21
第五節 EGARCH 模型 .................................................................. 22
第六節 虛擬變數 ............................................................................ 24
第四章 實證分析 .................................................................................. 25
第一節 敘述統計 ............................................................................ 25
第二節 序列相關檢定結果 ........................................................... 39
第三節 單根檢定結果 .................................................................... 48
第四節 ARCH-LM 檢定結果 ........................................................ 51
第五節 EGARCH 模型估計結果 .................................................. 54
第五章 研究結論與建議 ...................................................................... 67
第一節 研究結論 ............................................................................ 67
第二節 研究限制與建議................................................................ 69
參考文獻 ................................................................................................... 71
一、中文部分
王甡(1995),報酬衝擊對條件波動所造成之不對稱效果:臺灣股票
巿場之實證分析。證券市場發展季刊,第7 卷第1 期,125-160。
李見發、林榮裕與陳秀綾(2005),台灣股價指數期貨及摩根台指期
貨到期效應之因素研究。財金論文叢刊,第3 期,51-76。
倪衍森、吳曼華與李仁在(2011),摩台指與台指期結算日對台積電
股價之資訊內涵研究–以台灣早期期貨資料為例,管理科學研
究,第7 卷第2 期,33-48。
張瓊嬌(2003),台股指數期貨基差調整過程之探討–應用平滑轉換
自我迴歸模式,國立臺北大學企業管理學系博士論文,新北市。
陳旭昇(2009),時間序列分析,台北市。
陳佳政、陳政位與黃金生(2009),臺股指數衍生性商品到期日效應
之實證研究,東吳經濟商學學報,第65 期:49-82。
楊奕農(2009),時間序列分析,台北市。
蔡垂君(2003),臺灣股價指數期貨與現貨之實證研究,國立台北大
學企業管理學系博士論文。新北市。
鍾惠民、周賓凰與孫而音(2009),財務計量。台北市。
二、英文部分
Alkeback, P. and N. Hagelin. (2004). Expiration Day Effects of Index
Futures and Options: EvidenceFrom a Market with a Long
Settlement Period. Applied Financial Economics, 14, 385-396.
Andersen, T. G. and Bollerslev, T. (1997). Heterogeous Information
Arrivals and Return VolatilityDynamics: Uncovering the Long-run
in High Frequency Returns. Journal of Finance, 52, 957-1006.
Andersen, T. G., Bollerslev, T. Diebold, F. X., and Labys, P. (2001). The
Distribution of RealizedExchange Rate Volatility. Journal of the
American Statistical Association, 96, 42-55.
Andersen, T. G., Bollerslev, T. Diebold, F. X., and Labys, P. (2003).
Modeling and Forecasting RealizedVolatility. Econometrica,
579-625.
Anderson, H. M. (1997). Transaction Costs and Nonlinear Adjustment
towards Equilibrium in the US Treasury Bill Markets. Oxford
Bulletin of Economics and Statistics, 59(4), 465-484.
Antoniou, A., and Holmes, P. (1995). Futures trading, information and
spot price volatility: Evidence for the FTSE-100 StockIndex Futures
contract using GARCH. Journal of Banking and Finance, 19,
117-129
Chamberlain, T. W., Cheung, C. S. and Kwan, C. C. Y. (1989).
Expiration-Day Effects of Index Futuresand Options: Some
Canadian Evidence. Financial Analysts Journal, 45(5), 67-71.
Chou, H. C., Chen, W. N., and Chen, D. H. (2006). The Expiration
Effects of Stock-Index Derivatives. Emerging Markets Finance and
Trade, 42(5), 81-102.
Chow, Y. F., H. Yung, and H. Zhang (2003). Expiration Day Effects: The
Case of Hong Kong. Journal of Futures Markets, 23, 67-86.
Figlewski,S. (1984). Hedging Performance and Basis Risk in Stock Index
Futures Markets. Journal of Finance, 39, 657-669.
Kan, A. C. N. (2001). Expiration-Day Effect: Evidence From
High-Frequency Data in the Hong Kong Stock Market. Applied
Financial Economics, 11, 107-118.
Pope, P. F. and Yadav, P. K. (1992). The Impact of Option Expiration on
Underlying Stocks: The UK Evidence. Journal of Business Finance
& Accounting, 19(3), 29-344.
Samuelson, P.A. (1965). Proof that Properly Anticipated Prices Fluctuate
Rabdomly. Industrial Management Review, 6, 41-49.
Samuelson, P. A. (1976). Is Real-World Price a Tale Told by the Idiot of
Chance? Review of Economics and Statistics, 58, 120-123.
Shleifer, A. (1986). Do Demand Curves for Stocks Slope Down, Journal
of Finance, 7, 579-590.
Stoll, H. R. and Whaley, R. E. (1991). Expiration-day effects:What has
changed? Financial Analysts Journal, 58-72.
Stoll, H. R. and Whaley, R.E. (1987). Program trading and expiration-day
effects. Financial Analysts Journal, 16-28.
Stoll, H. R. and Whaley, R.E. (1990a). Program trading and individual
stock returns:Ingredients of the triple-witching brew. Journal of
Business, 63, 165-192.
Stoll, H.R. and Whaley, R.E. (1990b). Program Trading and Individual
Stock Returns: Ingredients of the Triple-Witching Brew. Journal of
Business, 63, 165-192.
Tripathy, N. (2010). Expiration and Week effect: Empirical Evidence
from the Indian Derivative Market. International Review of Business
Research Papers, 6, 209-219.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top