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題名:台灣股價指數期貨與現貨之實證研究
作者:蔡垂君 引用關係
作者(外文):Tsai, Chui-Chun
校院名稱:國立臺北大學
系所名稱:企業管理學系
指導教授:黃營杉
李存修
學位類別:博士
出版日期:2003
主題關鍵詞:台指期貨價格發現功能價量關係到期效應星期效應VECM-Bi-EGARCH非對稱性波動率訊息傳遞Taiwan stock index futuresprice discovery functionprice-volume relationshipmaturity effectday-of-the-week effectVECM-Bi-EGARCHasymmetric volatilityinformation transmission
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中文論文提要內容:
本研究以四個研究論文針對台灣股價指數與指數期貨關係進行實證研究,論文題目分別為台灣股價指數期貨價格發現功能、期貨與現貨價量關係、到期效應以及星期效應。擷取2001年1月2日至2002年6月30日為止的台指與台指期貨近月合約報酬與交易量資料,分別就五種不同計算方式之報酬-日內每五分鐘、日內、開盤、收盤與隔夜報酬,以及日內每五分鐘與日交易量進行實證。
一、台灣股價指數期貨價格發現功能之實證研究
以VECM-Bi-EGARCH(1,0)為實證模式,針對台指期貨價格發現功能、報酬波動率之不對稱性,以及跨市場報酬波動率之傳遞進行實證研究,獲得以下三項研究結果:(1)台指期貨日內每五分鐘、日內與隔夜報酬領先現貨報酬,期間最長為日內10分鐘及日間2天,因此,就日內及日間隔夜報酬之觀點。(2)台指期貨報酬具有壞消息時會單向的引起現貨報酬產生較大波動率。(3)台指期貨與現貨彼此間未預期因素會造成雙方波動率升高。
二、台灣股價指數期貨與現貨價量關係之實證研究
以VECM-Bi-EGARCH(1,0)為實證模式,針對台指與台指期貨價量關係及價量波動率之不對稱性進行實證研究,獲得以下四項研究結果:(1)期貨與現貨日內每五分鐘交易量表現均領先其報酬,期間最長為10分鐘,因此,日內每五分鐘報酬與交易量具有量先價行之訊息傳遞關係。(2)結合價格發現功能所得之結果,可推知期貨與現貨跨市場價量關係是:期貨日內每五分鐘交易量領先期貨日內每五分鐘報酬、而期貨日內每五分鐘報酬又領先現貨日內每五分鐘報酬之遞延性。(3)台指期貨/現貨報酬與交易量具有壞消息雖會交互影響,但交易量訊息較易造成報酬波動率升高。(4)台指期貨/現貨報酬與交易量未預期因素亦會交互影響,但仍以交易量訊息較易造成報酬波動率升高。
三、台灣股價指數期貨到期效應之實證研究
以VECM-Bi-EGARCH(1,0)為實證模式及Mann-Whitney檢定法,針對台指與台指期貨到期效應進行實證研究,獲得以下三項研究結果:(1)隨期貨到期日趨近,期貨與現貨報酬與交易量波動率會加劇,合乎Samuelson Hypothesis(1965,1967)之觀點。(2)期貨到期日最後交易小時之表現唯有現貨交易量上升,合乎Stoll & Whaley(1987, 1990b,1991)之觀點。(3)期貨到期日翌日第一交易小時之表現,包含期貨與現貨報酬以及期貨交易量均合乎Stoll & Whaley(1987, 1990b,1991)之觀點。
四、台灣股價指數期貨與現貨星期效應之實證研究
以VECM-Bi-EGARCH(1,0)為實證模式,以及ANOVA及Kruskal-Wallis檢定法,針對台指與台指期貨星期效應進行實證研究,獲得以下二項研究結果:(1)星期一普遍為週內報酬表現最低者、且其值為負,而交易量亦為最低且減少。(2)即使遇及期貨到期日所在週內,星期一之報酬仍為週內表現最低者、且其值為負,而交易量亦為最低且減少。合乎French(1980)之觀點。
ABSTRACT
This thesis includes six chapters to investigate the relationship between Taiwan stock index and nearby-month stock index futures. The major contents are from chapter two to chapter five. These topics are price discovery function, price-volume relationship, maturity effect and day-of-the-week effect. We apply VECM-Bi-EGARCH model, Mann-Whitney test, ANOVA and Kruskal-Wallis test to demonstrate. The data of return is measured by five-minute, intra-day, open-to-open, close-to-close and overnight; the volume data is measured by five-minute and total amount in a day from January 2, 2001 to June 30, 2002.
Chapter two investigates the price discovery function, asymmetric volatility and cross-market volatility transmission on Taiwan stock index and index futures. We apply VECM-Bi-EGARCH model to test the relationship of return between stock index and nearby-month stock index futures. Three major findings obtain regarding the price discovery function: (1) Taiwan stock index futures leads stock market by ten minutes to two days when five-minute data, intra-day and overnight data are tested. (2) Negative shocks on index futures markets result in higher volatility in spot market. (3) Unexpected shocks on the spot market induce higher volatility in the futures market, and vice versa.
Chapter three investigates the price-volume relationship, asymmetric volatility and price-volume volatility transmission on Taiwan stock index and nearby-month index futures by VECM-Bi-EGARCH model. Four major findings obtain regarding the price-volume relationship: (1) Five-minute trading volume leads price by as long as ten minutes both spot and futures market alike. (2) The immediate inference would be that five-minute futures trading volume leads futures price, which in turn leads five-minute spot return. (3) Bad news occurred in both spot and futures markets tend to enlarge volatility of both markets. (4) Unexpected changes in the trading volume of spot and futures market closely interact with the returns of both markets, with most significant interaction found between trading volume and return volatility.
Chapter four investigates the maturity effect on Taiwan stock index and nearby-month index futures by VECM-Bi-EGARCH model and Mann-Whitney test. Three major findings obtain regarding the maturity effect: (1) Near the maturity day, the volatility of return and volume on stock index and index futures are larger. The result is the same as Samuelson Hypothesis (1965,1967). (2) On the last hour of maturity day, only the volume of stock index is larger. The result is the same as Stoll & Whaley (1987, 1990b, 1991). (3) In the first exchange hour of next morning, the price and volume reversal. The return and volume of stock index and index futures is larger than the last hour. The result is also the same as Stoll & Whaley (1987, 1990b, 1991).
Chapter five investigates the day-of-the-week effect on Taiwan stock index and nearby-month index futures by VECM-Bi-EGARCH model, ANOVA and Kruskal-Wallis test. Two major findings obtain regarding the day-of-the-week effect: (1) On Mondays, the return and volume are negative and smaller than the other exchange day. (2) Even in the maturity weeks, the return and volume are also negative and smaller on Mondays. The result is the same as French (1980).
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