本研究主要在探討驗證不同的開盤前資訊是否對加權指數報酬有預測力對投資或政策監管的啟發。我們利用最小平方法迴歸模型並結合 Newey-West 校正殘差異質變異與相關性後進行模型估計推論；所考慮的盤前資訊有台指期未平倉口數變動率、台指期未平倉比率、台指期提早開盤時段報酬、台指期夜盤報酬率、台指期隔夜報酬率等。由於台指期夜盤報酬在 2017 年 5 月 16 日才開放交易的制度性原因，我們將樣本分為兩部分來進行分析，第一部份全樣本涵蓋 2002 年至 2022 年之間，共 5189 筆日資料 ; 第二部份為納入夜盤報酬資訊的 2017-2022年共 1385筆資料。聯合檢定迴歸，第一部份小台指期 8:45~9:00之報酬對加權指數報酬有顯著影響 ; 第二部份實證發現夜盤報酬率與台股期貨未平倉口數變動率對加權指數報酬有顯著影響，且未平倉口數變動率與加權指數報酬率為反向關係。

This paper is to investigate whether different pre-market information for the returns of the TAIEX, and to derive insights for investment or policy regulation. We utilize the OLS regression model and incorporate Newey-West corrected residuals for heteroscedasticity and correlation in the model estimation and inference. The pre-market information considered includes the change rate of OI in Taiwan Stock Index Futures (TXF), the OI(open interest) ratio of TXF, the early session returns of TXF, the overnight returns of TXF, and the intraday returns of TXF. Due to the institutional reason that the trading of TXF in the overnight session was introduced only on May 16, 2017, we divide the sample into two parts for analysis. The first part covers the entire sample period from 2002 to 2022, with a total of 5,189 daily observations. The second part consists of 1,385 observations from 2017 to 2022, incorporating the overnight returns information. In the joint regression tests. In the first part, the returns of the MTXF from 8:45 to 9:00 AM significantly affect the returns of the TAIEX. In the second part, we empirically find that the overnight returns and the change rate of OI in TXF significantly affect the returns of the TAIEX and the change rate of OI is inversely related to the returns of the TAIEX.

〔1〕 Chan,K,Chockalingam,M & Lai,Wlk.(2000),"Overnight information and intraday trading behavior : evidence from NYSE cross-listed stocks and their local market information",Journal of Multinational Financial Management,10(3-4),pp.495-509。
〔2〕 Chan,Kalok & Fong,Wai-Ming.(2000),"Trade size,order imbalance,and the volatility-volume relation",Journal of Financial Economics,57(2), pp.247-273。
〔3〕 Czudaj, Robert L.(2019),"Dynamics between trading volume,volatility and open interest in agricultural futures markets: A Bayesian time-varying coefficient approach",Econometrics and Statistics,12,pp.78-145。
〔4〕 Dungore,Parizad Phiroze and Sarosh Hosi Patel.(2021),"Analysis of Volatility Volume and Open Interest for Nifty Index Futures Using GARCH Analysis and VAR Model",International Journal of Financial Studies, 9(1), pp.1-11。
〔5〕 Hachmi Ben Ameur, Zied Ftiti & Waël Louhichi.(2021),"Revisiting the relationship between spot and futures markets: evidence from commodity markets and NARDL framework",Annals of Operations Research,313(1), pp.171-189。
〔6〕 Min Su.(2023),"Price guidance and discovery of the Chinese stock index Futures : Based on the rising ,falling and fluctuating states", Heliyon,9(3),e14432。
〔7〕 Ordu-Akkaya,Beyza Mina ,Ugurlu-Yildirim,Ecenur & Soytas,Ugur,(2019), "The role of trading volume, open interest and trader positions on volatility transmission between spot and futures markets",Resources Policy,61(C),pp.410-422。
〔8〕 柏婉貞、胡育鳴、陳楷欣(2016),「三大法人交易活動與台指期貨報酬波動非對稱關係之研究」,全球商業經營管理學報,8,pp.19-30。
〔9〕 柏婉貞、伍建龍、吳家綺(2017),「機構投資者交易活動與期貨報酬波動之研究」,全球商業經營管理學報,9,pp.1-12。
〔10〕 戴維芯、林美玲、陳明憲(2011),「未平倉量與交易量對台指期報酬與波動的不對稱效果」,期貨與選擇權學刊,4(1),pp.69-88。
〔11〕 郭玟秀、陳仁龍、楊文誠(2010),「台股指數期貨市場內過度反應之研究」,管理科學研究,6(2),pp.77-89。
〔12〕 洪瑞延(2013),「台灣期貨三大法人和散戶交易行為與報酬關係」,碩士論文,國立中央大學財務金融學系。
〔13〕 黃翊綾(2019),「三大法人買賣超、未平倉量與賣買權比率對台指現貨與期貨之影響與關聯性分析」,碩士論文，國立屏東大學財務金融學系碩士班。
〔14〕 張宏耀(2020),「期貨與選擇權夜盤交易量對價格影響之分析」,碩士論文，東海大學財務金融學系。
〔15〕 陳佳敬(2015),「根據三大法人交易資訊建構期貨交易策略」,碩士論文,國立政治大學金融研究所。
〔16〕 蘇志揚(2016),「台指期貨指數報酬率與成交量未平倉量關係之研究分析」,碩士論文，國立中正大學財務金融學系碩士在職專班。
〔17〕 葉祐齊(2013),「期貨交易策略-利用三大法人期貨未平倉資料」。碩士論文，國立政治大學金融研究所。