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系統識別號 U0002-1306200717295300
DOI 10.6846/TKU.2007.00352
論文名稱(中文) 升降單位變動對價格群集之影響
論文名稱(英文) The Effects of Tick Size Variation on Price Clustering
第三語言論文名稱
校院名稱 淡江大學
系所名稱(中文) 財務金融學系碩士班
系所名稱(英文) Department of Banking and Finance
外國學位學校名稱
外國學位學院名稱
外國學位研究所名稱
學年度 95
學期 2
出版年 96
研究生(中文) 梁卓元
研究生(英文) Jwo-Yuan Liang
學號 694490300
學位類別 碩士
語言別 繁體中文
第二語言別
口試日期 2007-05-27
論文頁數 41頁
口試委員 指導教授 - 謝文良
委員 - 李進生
委員 - 鐘惠民
委員 - 林允永
關鍵字(中) 價格群集
升降單位
協商假說
價格解析度假說
關鍵字(英) Price clustering
Tick size
Negotiation hypothesis
Price resolution hypothesis
第三語言關鍵字
學科別分類
中文摘要
價格群集(price clustering)指金融資產的報價或成交價格之尾數特別集中在某些數字(偶數、整數)的傾向,嚴重的價格群集可能代表市場缺乏效率或價格遭受扭曲。金融資產報價中均有最小升降單位的規定,而使得價格均為升降單位的倍數,因此在觀測價格尾數時,升降單位的大小將影響到價格群集於何種數值,本研究觀察升降單位(tick size)之變動對價格群集的影響。多數的財務模型都事先假定金融資產價格為連續的,並不會特別發生在某特定數值,實際上因為有升降單位的規定,連續定價的假設便難以成立,才有價格群集的發現。
本研究發現在台灣股票市場中不論是何種價格區間或升降單位如何變動,仍舊存在價格群集的現象。此結果與Hameed and Terry (1998)之結果相同,任何一種價格區間內都存在著明顯的價格群集情況,而價格尾數為0與5的出現頻率皆高過於其餘價格尾數的出現頻率,而價格尾數為0的出現頻率又高過於價格尾數為5的出現頻率。本研究並發現價格群集與價格水準呈現正相關,價格水準越高價格群集程度越高;價格群集與交易量呈現負相關,交易量越大價格群集程度越低;而價格的波動程度則與價格群集沒有明確的關係;升降單位的變動可能會影響到價格群集的改變。此結果大致支持Harris(1991)的協商假說(Negotiation hypothesis)與Ball et al.(1985)的價格解析度假說(Price resolution hypothesis)。
英文摘要
Price clustering means the last digit of the quote of financial asset or trade price has a tendency of centering on certain numbers (even numbers, round number etc.). Serious price clustering could represent the market lacks efficiency or the price has been distorted. There are usually rules of the smallest tick size in financial asset quote so that the price can be the multiples of the tick size. Therefore, when observing the changes of the tick size, the size of it will affect which value the price clustering falls. This research is to observe the effects the variation of the tick size on price clustering. Most financial models presume financial asset price is constant so that the financial asset price will not fall on a certain number. In fact, because there are rules of tick size, the assumption of constantly fixed price is hardly 
existed; therefore, price clustering was discovered. 
This research finds that in Taiwan’s stock market, no matter what kind of price intervals or changes of tick size, price clustering still exists. This conclusion is equivalent to that of Hameed and Terry(1998); the frequency that the last digit of the price is 0 and 5 is higher than any other numbers. And the probability of the last digit being 0 is higher than that of 5. This research also finds that price clustering and the price level are positive correlated; the higher the price level, the more intense the price clustering is. On the other hand, the price clustering has negative correlation with the trade volume; the larger the trade volume, the less intense the price clustering is. Moreover, the price volatility and price clustering are not necessarily related while tick size might affect price clustering. These conclusions support Harris’ Negotiation hypothesis (1991) and Ball et al.’s Price resolution hypothesis(1985).
第三語言摘要
論文目次
目錄
第一章 緒論............................................1 
第一節 研究動機與目的.....................................2
第二節 研究架構..........................3
第二章 文獻探討...................................5
第一節 解釋價格群集的理論.............................5
第二節 影響價格群集的因素-升降單位.................8
第三章 研究方法..........................................12
第一節 檢驗價格群集現象................................12
第二節 探討影響價格群集程度的因素........................14
第四章 研究資料..........................................16
第五章 實證結果..........................................18
第一節 價格群集現象......................................18
第二節 影響價格群集程度的因素............................31
第六章  結論.............................................38
參考文獻.................................................39

表目錄
表1  股票價格與升降單位調整前後對照表.................... 16
表2  升降單位變動與未變動的價格區間對照表................ 17
表3  比較股票價格區間為5-10的價格群集.................... 19
表4  比較股票價格區間15-50的價格群集..................... 23
表5  比較股票價格區間50-100的價格群集.................... 26
表6  比較股票價格區間150-500的價格群集................... 29
表7  升降單位變動前後之D1與D2 ........................... 31
表8  股票價格區間為5-10的D1、D2、Aveprice、InvSqrtVol
     與LogHilo的敘述統計................................. 33
表9  股票價格區間為15-50的D1、D2、Aveprice、 InvSqrtVol
     與LogHilo的敘述統計................................. 34
表10 價格區間為 5-10之應變數D1 .......................... 35
表11 價格區間為 5-10之應變數D2 .......................... 36
表12 價格區間為 15-50之應變數D1 ......................... 36
表13 價格區間為 15-50之應變數D2 ......................... 37

圖目錄
圖1 研究流程圖 ............................................4
圖2 舊制下價格區間為5-10的各尾數數值出現頻率       
    〈Tick size=0.05〉....................................20
圖3 新制下價格區間為5-10的各尾數數值出現頻率
    〈Tick size=0.01〉....................................20
圖4:舊制下價格區間為15-50的各尾數數值出現頻率
    〈Tick size=0.1〉.....................................24
圖5:新制下價格區間為15-50的各尾數數值出現頻率
    〈Tick size=0.05〉....................................24
圖6:舊制下價格區間為50-100的各尾數數值出現頻率
    〈Tick size=0.5〉.....................................27
圖7:新制下價格區間為50-100的各尾數數值出現頻率
    〈Tick size=0.1〉.....................................27
圖8:舊制下價格區間為150-500的各尾數數值出現頻率
    〈Tick size=1〉.......................................30
圖9:新制下價格區間為150-500各尾數數值出現頻率
    〈Tick size=0.5〉.....................................30
參考文獻
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