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題名:臺灣證交所個股成交量與價格波動性、報酬率關係之實證研究
書刊名:管理資訊計算
作者:謝金山陳維新
作者(外文):Hsieh, Chin-shanChen, We-shin
出版日期:2016
卷期:5:1
頁次:頁169-180
主題關鍵詞:熱門股成交量報酬率The hot stockTrading volumePrice volatility
原始連結:連回原系統網址new window
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  • 點閱點閱:8
本研究以台股集中市場個股為對象,設計 Excel VBA 程式及運用 SPSS 統計軟體,探討每日熱門股(日成交量排行前20名)、日成交量顯著放大個股(日成交量較前一交易日淨放大2倍以上)的同期量價關係與大盤及其他個股是否存在明顯差異。並以量縮賣出策略,進行模擬交易以檢驗每日熱門股、日成交量顯著放大個股的報酬率是否高於大盤及探討影響報酬率的因素。實證結果顯示,每日熱門股與日成交量顯著放大個股,當日股價漲幅明顯優於大盤及其他個股;量縮賣出交易策略的平均報酬率的影響隨篩選個股條件不同而有差異;影響報酬率的因素中,以量放大日樣本與大盤漲幅差-5%以下、五日乖離率-8%以下、二十日乖離率-10%以下等三項的正面作用最明顯。
In this study, the Taiwan stock market stocks for the centralized target, design and use Excel VBA program SPSS statistical software, explore the daily hot stocks (former daily turnover ranked 20), daily trading volume significantly enlarged stock (volume over the previous trading day Day 2 times net enlarge) volume and price-year relationship with the broader market and other stocks if there are significant differences. And the amount of shrinkage selling strategy, simulated trading to test daily hot stocks, stock trading volume significantly enlarge the rate of return is higher than the market and explore the factors that affect rate of return. The empirical results show that hot stocks with daily trading volume significantly enlarge stocks, the day the stock rose significantly outperform and other stocks; the amount of shrinkage in the average selling rate of return trading strategies with the screening of the impact of different conditions are different stocks; influence remuneration Factors rates in order to magnify the amount of the difference between the date the sample with the broader market rose to 5% or less, five days a deviation rate of 8% or less, twenty days -10% deviation rate positive effects such as the following three of the most obvious.
期刊論文
1.金鐵英、王昭文、吳訂宜(20070700)。臺股之弱式效率市場檢定。高苑學報,13,191-220。  延伸查詢new window
2.Gervais, S.、Kaniel, R.、Mingelgrin, D. H.(2001)。The High-Volume Return Premium。The Journal of Finance,56(3),877-919。  new window
3.Clark, P. K.(1973)。A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices。Econometrica,41,135-155。  new window
4.Copeland, T. E.(1976)。A model of asset trading under the assumption of sequential information arrival。Journal of Finance,31,1149-1168。  new window
5.Beaver, W.、Kettler, P.、Scholes, M.(1968)。The association between market determined and accounting determined risk measures。The Accounting Review,35,654-682。  new window
6.Bohl, M. T.、Henke, H.(2003)。Trading Volume and Stock Market Volatility: The Polish Case。International Review of Financial Analysis,12,513-525。  new window
7.Osborne, M. F. M.(1959)。Brownian Motion in the Stock Market。Operations Research,7(2),145-173。  new window
8.Lamoureux, C. G.、Lastrapes, W. D.(1990)。Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects。The Journal of Finance,45(1),221-229。  new window
學位論文
1.黃英倫(2000)。異常成交量之報酬貼水--以台灣加權股價指數為例(碩士論文)。國立臺灣科技大學。  延伸查詢new window
2.高士軒(2008)。價量關係:量是否為價格發現的先行指標(碩士論文)。逢甲大學。  延伸查詢new window
3.王英明(2007)。台股報酬波動與訊息到達之關係研究(碩士論文)。國立政治大學。  延伸查詢new window
4.徐合成(1994)。臺灣股市股票報酬率與交易量關係之實證研究--GARCH模型之應用(碩士論文)。國立臺灣大學。  延伸查詢new window
 
 
 
 
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