請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/23369
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 雷立芬 | |
dc.contributor.author | Pei-Hsi Han | en |
dc.contributor.author | 韓佩希 | zh_TW |
dc.date.accessioned | 2021-06-08T04:59:54Z | - |
dc.date.copyright | 2010-08-19 | |
dc.date.issued | 2010 | |
dc.date.submitted | 2010-08-17 | |
dc.identifier.citation | 王慧玲、譚醒朝、張曉芬,2005。「SARS 疾病災難事件對台灣生技醫療產業股價影響之研究」,健康管理學刊,第3卷,第2期,99-119。
林哲鵬、郭怡萍,2007。「競爭策略下新產品宣告對股價的影響:就台灣資訊電子業公司之檢視」,科技管理季刊,第12卷,第1期,1-28。 邱建良、吳佩珊、姜淑美、林佩容,2004。「與時變動系統性風險之研究:台灣股票多頭與空頭市場之實證」,華岡經濟論叢,第3卷,第2期,45-68。 倪衍森、鐘雨潼、王伍德,2006。「台灣證券市場內線交易嚴重嗎?以台灣公開資訊觀測站之資訊分析」,中華管理學報,第7卷,第2期,89-100。 陳玲慧,2005。「台灣股票市場類股指數過度反應與不確定資訊假說之實證研究」,環球技術學院人文學刊,第1期,1-13。 黃彥聖、姜清海、柯美珠,1999。「漲跌幅限制下均衡價格的估計與過度反應假說之檢定」,財務金融學刊,第7卷,第3期, 27-59 劉玉珍、周行一、潘璟靜,1999。「台灣股市價格限制與交易行為」,財務金融學刊,第4卷,第2期,41-61。 Ajayi, R.A. and S. Mehdian.(1994) “Rational Investors’ Reaction to Uncertainty : Evidence from the World’S Major Markets” Journal of Business Finance & Accounting :533-545. Akaike, H. (1973). “Information Theory and An Extension of the Maximum Likelihood Principle” Proc. 2nd International Symposium on Information Theory, eds. B. N. Pretov and F. Csali, Akademiai Kiado, Budapest: 267-281. Blume, M. (1971). “On the Assessment of Risk.” Journal of Finance 26: 1-10 Bollerslev, T. (1990). “Modelling the Coherence in Short-Run Nominal Exchange Rates: A Multivariate Generalize ARCH Model.” The Review of Economics and Statistics 72(3): 498-505. Bollerslev, T., R. Chou, and K. Kroner (1992). “ARCH Modelling in Finance: A Review of the theory and Empirical Evidence.”Journal of Econometrics 52: 5-59 Bollerslev, T., R.F. Engle and J.M. Wooldridge (1988). “A Capital Asset Pricing Model with Time-Varing Covariances.” Journal of Political Economy 96(1): 116-131. Brown, K.C, W.V. Harlow, and S.M. Tinic (1988). “Risk Aversion, Uncertain Information, and Market Efficiency.” Journal of financial economics 22:355-385 Chan, L.K., N. Jegadeesh, and J. Lakonishok (1996). “Momentum Strategies.” Journal of Finance 51(5): 1681-1713 Choudhry, T. and H. Wu (2008). “Forecasting the Time-Varying Beta of UK Firms: GARCH Model vs. Kalman Filter Method.” Journal of Forecasting 27: 670-689 DeBondt, F.M. Werner and R.H. Thaler (1985). “Does the Stock Market Overreact?” Journal of Finance 40(3): 793-805 Fabozzi, F.J. and C. Francis (1978). “Beta As a Random Coefficient.” Journal of Finance and Quantitative Analysis 13(1): 101-116 Fama, E.F., L. Fisher, M. C. Jensen, and R. Roll(1969). “The Adjustment of Stock Price to New Information.” International Economic Review 10: 1-21 Fama, E.F. (1970). “Efficient Capital Markets: A Review of Theory And Empirical Work.” Journal of Finance 25(2):383-417 Granger, C.W. J. and P. Newbold (1974). “Spurious regression in econometrics.” Journal of Econometrics 2:111-120 Huang, Yen-Sheng (1998). “Stock Price Reaction to Daily Limit Moves: Evidence From the Taiwan Stock Exchange.” Journal of Business Finance & Accounting 25: 469-483 Jegadesh, N. and S. Titman (1993). “Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency.” Journal of Finance 48(1): 65-91 Kroner, K. F. and J. Sultan (1993). “Time-Varying Distributions and Dynamic Hedging with Foreign Currency Futures.” Journal of Finance and Quantitative Analysis 28(4): 535-551 Liang, Y. and D.J. Mullineaux (1994). “Overreaction and Reverse Anticipation: Two Related Puzzles?” Journal of Financial Research 17(1): 31-43 Lintner, J. (1965). “The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets.” The Review of economics and statistics 47(1): 77-91 Ljung, G. and G.E.P. Box (1978). “On a Measure of Lack of Fit in Time Series Models.” Biometrica 65:297-303 Mossin, J. (1966) “Equilibrium in a Capital Asset Market.” Econometrica 34(4): 768-783 Reyse, M. G. (1999). “Size, Time-Varying Beta and Conditional Heteroscedasticity in UK Stock Returns.” Review of Financial Economics 8(1): 1-10 Said, S. and D. Dickey (1984). “Testing for Unit Roots in Autoregressive-Moving Average Model of Unknown Order.” Biometrica 71:599-607. Schwet, G.W. and P.J. Seguin (1990). “Herteroscedasticity in Stock Returns.” Journal of Finance 45(4):1129-1155 Sharpe, W. F. (1964). “Capital Asset Price: A Theory of Market Equilibrium Under Conditions of Risk.” Journal of Finance 19(3): 425-442 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/23369 | - |
dc.description.abstract | 若市場對於資訊反應過度或不足,投資人將可利用此特性建構投資策略,賺取超額報酬。本研究以事件分析法探討類股及個股在事件後是否產生顯著之異常報酬,以判斷類股及個股對事件之反應情形,讓投資人在建構投資策略時得以參考。
由於已有許多研究證實系統風險會隨著時間變動,本研究以Bollerslev (1990) 提出的多變量自我相關條件異質變異模型(Multivariate GARCH model),使用2000年1月至2009年12月台灣經濟新報資料庫中上市公司之日資料,針對台灣八大類股指數及其中資本額前三大的股票估算隨時間變動的系統風險後,並配合CAPM模型計算預期報酬,分析在經過正事件及負事件後,短期內系統風險是否提高,以及是否出現顯著之異常報酬。 本研究以日漲跌超過6%為類股之事件,發現八大類股指數在正、負事件後均存在反應不足現象,而以連續漲停或連續跌停一至三日為個股之事件,發現部分上市公司股票在正事件後存在顯著為正之累積異常報酬,而在負事件後存在顯著為負之累積異常報酬,亦即也存在反應不足之現象。此外,無論是漲停事件或跌停事件,事件後之平均系統風險幾乎皆顯著高於事前平均水準。 | zh_TW |
dc.description.abstract | If investors overreact or underreact to the news, they will be able to use the property to construct investment strategies to earn excess return. This paper applied event study to analyze whether the stock return generated significant abnormal returns.
The evidence showed that systematic risk was unstable and time-varying. Therefore, this paper applied Bollerslev (1990) Bivariate GARCH model to estimate time-varying systematic risk, using the daily data in eight industries and twenty-four individual stocks of Taiwan from Jan. 2000 to Dec. 2009. This study applied CAPM model with time-varying systematic risk to calculate abnormal returns, then analyzed the short-term systemic risk and return change after positive and negative events. This research defined that the price went limit up or down for three days continuously as an event of an individual, and that the daily fluctuation was over 6% as an event of an industry index. The result shows there was significant cumulative abnormal return on stocks. The systemic risk in the post-event period was significant higher than the one in the pre-event period. The stock price revealed underreaction, but the phenomenon is different from stocks. In addition, almost all the system risk of stocks had increased significantly. | en |
dc.description.provenance | Made available in DSpace on 2021-06-08T04:59:54Z (GMT). No. of bitstreams: 1 ntu-99-R97627012-1.pdf: 3021170 bytes, checksum: 01e83a5df1798f3e6e7f35c96bf23fe0 (MD5) Previous issue date: 2010 | en |
dc.description.tableofcontents | 謝辭……………………………………………………………………………………ii
摘要……………………………………………………………………………………iii Abstract………………………………………………………………………………iv 表目錄…………………………………………………………………………………vi 圖目錄…………………………………………………………………………………vii 附表目錄………………………………………………………………………………viii 附圖目錄……………………………………………………………………………ix 第一章 緒論……………………………………………………………………………1 第一節 研究動機…………………………………………………………………1 第二節 研究目的…………………………………………………………………4 第二章 文獻回顧………………………………………………………………………6 第一節 事件分析法………………………………………………………………6 第二節 系統風險…………………………………………………………………10 第三章 實證模型與資料分析………………………………………………………12 第一節 異常報酬與假設檢定……………………………………………………12 第二節 雙變量條件自我相關條件異質變異模型………………………………17 第三節 資料分析………………………………………………………………19 第四章 實證結果分析………………………………………………………………28 第一節 事件定義與期間…………………………………………………………28 第二節 事件異常報酬分析……………………………………………………………31 第三節 事件前後平均系統風險檢定…………………………………………47 第四節 小結……………………………………………………………………50 第五章 結論…………………………………………………………………………55 參考文獻………………………………………………………………………………59 附錄……………………………………………………………………………………62 | |
dc.language.iso | zh-TW | |
dc.title | 台灣股價漲跌資訊短期反應之研究─事件分析法之應用 | zh_TW |
dc.title | An Empirical Study on Short-Term Reaction to Extreme Market Variation in Taiwan | en |
dc.type | Thesis | |
dc.date.schoolyear | 98-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 郭震坤,官俊榮 | |
dc.subject.keyword | 事件分析法,雙變量GARCH,過度反應,反應不足,異常報酬, | zh_TW |
dc.subject.keyword | Event Study,Bivariate GARCH,Overreaction,Underreaction,Abnormal Return, | en |
dc.relation.page | 68 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2010-08-18 | |
dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
dc.contributor.author-dept | 農業經濟學研究所 | zh_TW |
顯示於系所單位: | 農業經濟學系 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-99-1.pdf 目前未授權公開取用 | 2.95 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。