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篇名 台灣股票市場揭示五檔與成交價量對股價的關聯性-以台積電為例
卷期 12:2
並列篇名 Taiwan Stock Market Reveals the Correlation between the Five Stalls and the Price of the Transaction-A Case Study of TSMC
作者 黃惠盟
頁次 175-193
關鍵字 台灣股票市場最佳五檔買賣報價委託簿流動性揭示制度Taiwan stock marketfive best bid/ask quotesAggressiveness Index disclosure rules
出刊日期 201809
DOI 10.3966/199553922018091202004

中文摘要

臺灣證券交易所為使資訊更透明、交易更公平,以提供投資人更充分的資訊作為買賣決策參考,爰參考國際主要證券交易所資訊揭露方式,自2003年1月2日起,實施揭露未成交的最佳五檔買賣委託價量措施。投資人可藉由所謂未成交的「最佳五檔」價量資訊,作為投資人買賣決策參考依據。本文參考Barber etal.(2009)提出的委託簿流動性(Aggressiveness Index, AI)中委託簿買賣五檔之權重訂法,除了變更權重方法以符合隔期報酬率之正相關算法,並加入即期成交價量之張數及權重,經於台積電股票樣本期內計194,248筆樣本之迴歸分析,結果顯示,在以揭示五檔之價量數據作為投資人買賣參考依據時,加入即期成交價量之方向性,更能掌握股價的漲跌方向,對各型投資人之自行計算與投資判斷更具方便性。研究發現加入即時成交價量於統計分析中,可大幅提高揭示五檔對即期報酬率的關聯性。

英文摘要

In order to achieve more transparency in information and fairer trading, for the purposes of allowing investors to make informed decisions concerning biding or asking, the Taiwan Stock Exchange Corporation (TWSE) referred to the disclosure methods adopted by major international stock exchange corporations and implemented the disclosure rules featuring the five best bid/ask quotes of the volume of unexecuted orders since January 2nd, 2003. Investors can take into account the so-called unexecuted “five best” information when they are making decisions about biding or asking. This paper refers to the methodology as put forth by Barber et al. (2009) concerning Aggressiveness Index (AI) and its weighting mechanism of the five bid/ask stalls, revises the weighting method so as to make it in line with the positive correlation with the return rate of forward transactions, and adds the number and weighting of the volume of spot transactions. The results of regression analysis of 194,248 samples gathered in TSMC during its stocks sampling period show that when the five quotes are disclosed for the investors to make informed decisions about biding or asking, adding the directionality of spot trading volume can better grasp the tendency of stock prices, making it more convenient for all types of investors to conduct calculations and make investment judgements on their own. The study finds that adding trading volume on a real-time basis to the statistics can significantly increase the correlation between the revealing of five stalls and the return rate of spot transactions.

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