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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 林建甫(Chien-Fu Lin) | |
dc.contributor.author | Chien-Hsun Huang | en |
dc.contributor.author | 黃建勳 | zh_TW |
dc.date.accessioned | 2021-06-16T08:10:24Z | - |
dc.date.available | 2014-03-26 | |
dc.date.copyright | 2014-03-26 | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-03-26 | |
dc.identifier.citation | 林向愷(1991),「投資人異質性與股價的決定:臺灣的實證分析」,《經濟論文叢刊》,第19卷第4期,頁383-411。
林問一,楊和利(2004),「股本膨脹效應與臺灣股市的過度反應」,《東吳經濟商學學報》,第45期, 頁1-13。 李顯儀,吳幸姬(2005),「臺灣股票市場中訊息的反應與傳遞效果之研究」,《輔仁管理評論》,第12卷第3期,頁71-94。 李顯儀(2012),「各類基本面分析指標與基金從眾行為之關聯性」,《輔仁管理評論》,第19卷第3期,頁1-26。 許光華,李見發,嚴宗銘,吳采真(2010),「價值股與成長股的投資策略分析--考量股市循環之實證」,《商管科技季刊》,第11卷第4期,頁421-456。 許振明,蔡佳珍(1993),「股價與經濟因素之關聯性分析與預測:MTV及主成份迴歸分析」,《臺大管理論叢》,第4卷第2期,頁79-104。 陳仕偉,陳續文(2010),「股價報酬與實質經濟活動的關聯性--跨國的實證研究」,《臺灣銀行季刊》,第61卷第3期 ,頁262-300。 陳君達,林恩詰,林福來(2006),「貨幣政策、公司規模與股票報酬」,《風險管理學報》,第8卷第2期,頁177-199。 張眾卓,王祝三(2013),「臺灣時間序列與橫斷面股票報酬之研究:不同模型設定、投資組合建構以及樣本選擇下之再檢測」,《經濟研究》,第49卷第1期, 頁31-88。 楊踐為,王章誠(1999),「臺灣股價指數與融資、融券及成交量間資訊傳遞結構之研究」,《證券櫃檯》,第41期,頁1-14。 劉祥熹,涂登才(2012),「美國股市及其總體經濟變數間關連性與波動性之研究--VEC GJR DCC-GARCH-M 之模型應用」,《經濟研究》,第48卷第1期,頁139-189。 顧廣平,(2005),「單因子、三因子或四因子模式?」,《證券市場發展》,第17卷2期,頁101-146。 Akaike, H. (1974), “A New Look at the Statistical Model Identification. IEEE Transactions on Automatic Control”, Automatic Control, 19, 716-723. Allen, F. and Karjakainen, R. (1999), “Using Genetic Algorithms to Find Technical Trading Rules”, Journal of Financial Economics, 51, 245-271. Boyer, M. M. and Filion, D. (2007), “Common and Fundamental Factors in Stock Returns of Canadian Oil and Gas Companies”, Energy Economics, 29, 428-453. Carol L. Osler, (2003), “Currency Orders and Exchange Rate Dynamics: An Explanation for the Predictive Success of Technical Analysis”, Journal of Finance, 58, 1791-1820. Chiao, C. and Lin, K. I. (2004), “The Informative Content of the Net Buy Information of Institutional Investors: Evidence from the Taiwan Stock Market”, Review of Pacific Basin Financial Markets and Policies, 7, 259-288,. Clarke, R.G. and Statman, M. (1998), “Bullish or Bearish ? ”, Financial Analysts Journal, 5, 63-72. Copeland, T. E. (1976), “A Model of Asset Trading under the Assumption of Sequential Information Arrival, Journal of Finance, 31, 1149-1168. Downs, T. W. and Ingram, R. W. (2000), “Beta, Size, Risk, and Return”, Journal of Financial Research, 23, 245-260. Driesprong, G., Jacobsen, B. and Matt, B. (2008), Striking Oil: Another Puzzle ? ”, Journal of Financial Economics, 89, 307-327. Fama, E. F. (1970), “Efficient Capital Market: A Review of Theory and Empirical Work”, Journal of Finance, l25, 383-417. Fama, E. F. and French, K. R. (1992), “The Cross-Section of Expected Stock Returns”, Journal of Finance, 47, 427-465. Fama, E. F. and French, K. R. (1996), “Multifactor Explanations of Asset Pricing Anomalies”, Journal of Finance, 51, 55-84. Filis, G. (2010), “Macro Economy, Stock Market and Oil Prices: Do Meaningful Relationships Exist among their Cyclical Fluctuations? ”, Energy Economics, 32, 877-886. Hardouvelis, G. A. and Pristiani, S. (1992), “Margin Requirements, Speculative Trading and Stock Price Fluctuations: the Case of Japan”, Quarterly Journal of Economics, 107, 4, 1333-1370. Ho, Y. W., Roger, S. and Jenifer, P. (2000), “CAPM Anomalies and the Pricing of Equity: Evidence from the Hong Kong Market”, Applied Economics, 32, 1629-1636. Keef, S. P. and Roush, M. L. (2005), “Day-of-the-week Effects in the Pre-holiday Returns of the Standard & Poor’s 500 Stock Index”, Applied Financial Economics, 15, 107-119. Keim, D.B. and Madhavan, A. (1995), “Anatomy of the Trading Process Empirical Evidence on the Behavior of Institutional Traders”, Journal of Financial Economics, 37, 371-398. Lo, A, Mamaysky, H. and Wang, J. (2000), “Foundations of Technical Analysis : Computations Algorithms, Statistical Inference and Empirical Implementation”, Journal of Finance, 55, 1705-1765. Oberndorfer, U. (2009), “Energy Prices, Volatility and the Stock Market: Evidence from the Eurozone”, Energy Policy, 37, 5787-5795. Papapetrou, E. (2001), “Oil Shocks, Stock Markets, Economics Activity and Employment in Greece”, Energy Economics, 23, 511-532. Park J., Ratti, R.A. (2008), “Oil Price Shocks and Stock Markets in the U.S. and 13 European Countries”, Energy Economics, 30, 2587-2608. Phillips, P. C. B. and Perron, P. (1988), “Testing for a Unit Root in Time Series Regression”, Biometrica, 75, 332-346. Ready, M. (2002), “Profits from Technical Trading Rules”, Financial Management, Autumn, 43-61. Reinganum, M. R. (1983), “The Anomalous Stock Market Behavior of Small Firms in January: Empirical Tests for Tax-loss Selling Effects”, Journal of Financial Economics, 12, 89-104. Sadorsky, P. (1999), “Oil Price Shocks and Stock Market Activity”, Energy Economics, 21, 5, 449-469. Said, S. and Dickey, D. (1984), “Testing for Unit Roots in Autoregressive-Moving Average Models with Unknown Order”, Biometrica, 71, 599-607. Sharpe, W. F. (1964), “Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risks”, Journal of Finance, 19, 425-442. Sims, C.A. (1980), “Macroeconomics and Reality”, Econometrica, 48, 1-48. Wang, L. R. and Shen, C. H. (1999), “Do Foreign Investments Affect Foreign Exchange and Stock Market – the Case of Taiwan”, Applied Economics, 31, 1303- 1314. Wang, K. Q. (2005), “Multifactor Evaluation of Style Rotation”, Journal of Financial and Quantitative Analysis, 40, 349-372. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/58289 | - |
dc.description.abstract | 本論文在探討台灣股票市場操作在投資界普遍所參考的指標之一為籌碼集中度分析,藉由數量累積散佈擺盪 (volume accumulation�distribution oscillator, VADO) 指標來衡量股票籌碼集中度,同時以市場上的高/週轉率、大/小公司規模和高/低股價淨值比 (成長型/價值型) 公司之特徵的投資組合來進行探討股票籌碼集中度指標與股價及交易活動之間的互動關係的研究。本文將蒐集2003年初到2013年底之股票的每日交易資料來進行分析,同時並以單根檢定、Granger因果關係分析、向量自我迴歸模型 (VAR)和衝擊反應分析等計量方法進行驗證。最後,再經由實證後獲得主要知結論:
首先,平均報酬率由高至低依序為成長型、低週轉率、大公司、高週轉率、加權指數、小公司及價值型的投資組合。這個結果大致於上與市場法人或投資人所偏好投資標的之股票的公司特徵是一致的,市場上投資人喜愛高成長型的股票,而法人則偏愛ETF 50成份股等大公司股票。其次,也發現在低週轉率、大公司規模和價值型等特徵的公司,則股票籌碼集中度指標對於股價報酬率是具有參考價值和意義的,所以認為投資人可藉由觀察籌碼面的變化,在這些特徵的類股中來研判股價的變化是可行的。另外,除了大公司以外,其他特徵公司之投資組合的籌碼集中度指標對於股票的交易活動也是具有參考價值。 最後,由於並非所有的特徵公司之股票籌碼集中度指標與股價報酬率或週轉率是不具有解釋關係,所以認為籌碼集中度指標並不完全可適用於股票市場所有的股票,本研究的結果可供台灣股市投資人參考。 | zh_TW |
dc.description.abstract | This paper discusses one of the commonly used investment indicator in the stock market of Taiwan–chip concentration analysis. It uses volume accumulation/distribution oscillator (VADO) to measure the stock chip concentration. Meanwhile the investment combinations of different company characteristics, such as turnover rate, firm size, and price-book ratio, are used to discuss the interaction among the chip concentration index, stock price, and trading activities. This paper collects the daily trading information of stock from early 2003 to the end of 2013. The data are verified using unit root test, Granger causality test, Vector Autoregression (VAR), and impulse response analysis. The conclusions are reached based on the validation.
First, the average rate of return, in the descending order is: growth type, low turnover rate, large firm, high turnover rate, weighted index, small firm, and value type. This finding is consistent with the preferred company characteristics of institutional and individual investors. Individual investors prefer high growth stocks, while institutional investors prefer ETF 50 stocks. Moreover, for companies with characteristics of low turnover rate, large firm size, and value type, the chip concentration indicator has reference value and significance to rate of return. Hence, it is feasible that investors can observe the changes of chip value values to determine the changes of stock prices. Moreover, besides large companies, the chip concentration indicator of investment combinations of other company characteristics has reference value to stock trading activities. Lastly, not all chip concentration indicators have no explanatory relationship with the stock returns of turnover ratio, it is inferred that the chip concentration indicator cannot be applied to all stocks in the stock market. Hence, the findings of this paper can provide references to stock investors in Taiwan. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T08:10:24Z (GMT). No. of bitstreams: 1 ntu-103-P00323013-1.pdf: 962490 bytes, checksum: 629334736df232d6cdb2d8ba8e59ff18 (MD5) Previous issue date: 2014 | en |
dc.description.tableofcontents | 口試委員會審定書……………………………………………… i
誌謝……………………………………………………………… ii 中文摘要……………………………………………..………… iii Abstract………………………………………………………… iv 目錄…….........……………………………………...…... v 圖目錄……………………………………………...…...... vii 表目錄………………………………………………......... viii 第一章 緒論……………………………….………………….. 1 第一節 研究動機………………………............………… 1 第二節 研究目的……………………………....……………… 2 第三節 研究內容架構與流程………………………………….. 3 第二章 相關理論及文獻回顧………………………………... 6 第一節 相關理論………………………………….……………. 6 第二節 相關文獻回顧……………………………….…………. 7 第三章 研究資料說明及方法設計……………………….... 12 第一節 籌碼集中度指標的計算方式與資料說………………. 12 第二節 序列之單根檢定……………………………………... 15 第三節 Granger因果關係檢定………………………………… 17 第四節 動態關係的解釋模型:向量自我迴歸模型…………. 20 第五節 衝擊反應分析………………………………………… 21 第四章 實證結果分析……………………………………….. 23 第一節 基本敘述統計與單根檢定……………………………. 23 第二節 配對Granger因果關係分析…………………………. 34 第三節 動態關係的解釋模型:向量自我迴歸模型…….…. 41 第四節 衝擊反應分析…………......................… 60 第五章 研究結論及建議…………………………………….. 73 參考文獻………………………………………………….……. 81 | |
dc.language.iso | zh-TW | |
dc.title | 台灣股票籌碼集中度指標與股價之間的動態關係研究-以週轉率和公司特徵觀點探討 | zh_TW |
dc.title | Dynamic Relations Between VADO Index, Stock Returns and Turnover Ratio from the Taiwan Stock Market:Based on Firm Characteristics | en |
dc.type | Thesis | |
dc.date.schoolyear | 102-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 吳中書(Chung-Shu Wu),李沃牆(Wo-Chiang Li),盧陽正(Yang-Cheng Lu) | |
dc.subject.keyword | 籌碼集中度指標,股價報酬,週轉率,公司特徵,領先/落後關係, | zh_TW |
dc.subject.keyword | VADO index,stock returns,turnover ratio,firm characteristics,lead-lag relationship, | en |
dc.relation.page | 84 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2014-03-26 | |
dc.contributor.author-college | 社會科學院 | zh_TW |
dc.contributor.author-dept | 經濟學研究所 | zh_TW |
顯示於系所單位: | 經濟學系 |
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