規模效應與資訊揭露對技術分析獲利能力之影響

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Title:	規模效應與資訊揭露對技術分析獲利能力之影響
Other Titles:	The Effect of Firm Size and Information Dissemination on the Profitability of Technical Analysis
Authors:	廖雅華 Liao, Ya-Hwa
Contributors:	張永和 Chang, Yung-Ho 東海大學財務金融學系
Keywords:	公司規模、技術分析、移動平均線法則 firm size, technical analysis, moving average rules
Date:	2010
Issue Date:	2010-12-31T08:40:38Z (UTC)
Abstract:	本研究主要探討公司規模及資訊之揭露程度對技術分析獲利性之影響。呂宜峰(2004)之研究中呈現”公司規模可解釋整體資訊之揭露程度”,故本研究以台灣上市公司中最大與最小市值兩組不同公司規模樣本作比較，看技術分析在不同公司規模之獲利表現。主要研究方法係採用Brock, Lakonishok, and Lebaron(1992)一天期平均線，並根據Metghalchi, Chang, and Marcucci(2007) 之採用50,100,150,200天期移動平均線，利用區間突破交易法則(Trading Range Break-out rules,TRB)，當短天期平均線超過長天期平均線的1.01倍時，出現交叉向上的現象，代表買入訊號，反之當短天期平均線跌破長天期平均線的0.99倍時，出現交叉向下的現象，代表賣出訊號，探討投資人運用移動平均線之技術分析法則投資於台灣上市公司高總市值股票（20 檔）及低總市值股票（20檔）是否具有獲利能力。實證結果顯示，低總市值股票買入日報酬運用100天,150天及200天期移動平均線之獲利表現優於高總市值股票，也就是說，小規模公司之資訊揭露程度較低，投資人於從事投資買入決策時，可藉由移動平均線法則獲得較佳報酬，另無論是高市值或低市值之股票族群皆是買入日較賣出日有較佳的報酬，且幾乎能擊敗買入持有策略，賺取超額報酬。卓越預測能力(SPA)測試結果，無論高總市值股票或低總市值股票皆可藉由長天期移動平均線法則獲得超額報酬並打敗買進持有策略。本研究實證結果並不支持台灣上市公司為弱式效率市場，採技術分析仍有其參考價值。 This research addresses the effect of firm size and information dissemination on the profitability of technical analysis. We study the profitability of technical trading for the samples of the 20 largest and 20 smallest listed firms in Taiwan Stock Exchange. Our research methodology uses trading range break-out rules combing 1-day moving average of Brock, Lakonishok, and Lebaron (1992) and 50-day, 100-day, 150-day, and 200-day moving averages of Metghalchi, Chang, and Marcucci (2007). The empirical evidence shows that the profitability of trading rules of (1, 100), (1, 150), and (1,200) is larger for the firms with smallest firm size than those with largest firm size. The implications provide that the degree of information dissemination is lower for small firms so that investors gain higher returns by using technical trading analysis. Furthermore, we find that the returns of buy-days are higher than those of sell-days and they also beat the buy-and-hold returns. Finally we employ Superior Predictive Ability tests to rank the profitability of technical trading. The results shows that longer period moving average trading rules perform better than shorter period moving average trading rules. This research also presents that the weak-form market efficiency is not supported for Taiwan stock markets.
Appears in Collections:	[財務金融學系所] 碩士論文

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