Investing Strategies for Trading Stocks as Overreaction Triggered by Technical Trading Rules with Big Data Concerns
學年 112
學期 1
出版（發表）日期 2023-08-15
作品名稱 Investing Strategies for Trading Stocks as Overreaction Triggered by Technical Trading Rules with Big Data Concerns
作品名稱（其他語言）
著者 Min-Yuh Day; Paoyu Huang; Yirung Cheng; Yensen Ni
單位
出版者
著錄名稱、卷期、頁數 Romanian Journal of Economic Forecasting 26(3), p.148-161
摘要 The meaning of technical indicators is to transmit overshooting signals, which lead investors to believe that they may beat the market when the overshooting signals have been triggered. The study aims to examine whether investors could exploit profits when the overreaction signals were revealed by some technical indicators. Meanwhile, several findings are exposed. First, momentum (contrarian) strategies are suggested as overbought (oversold) signals emitted, which differ from our cognition. Second, higher cumulative abnormal returns (CARs) are demonstrated for buying instead of selling the constituent stocks of SSE 50 when overshooting signs occurred, after comparing with those of DJIA 30 and FTSE 100. Third, since superior performance is revealed, investors may apply the BB trading rule instead of others as overreaction trading signals are emitted.
關鍵字 Herding Behavior; Investing Strategies; Overreaction; Technical Indicators; Big Data
語言 en
ISSN 2537-6071; 2537-6071
期刊性質 國外
收錄於 SSCI
產學合作
通訊作者
審稿制度 是
國別 ROU
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/125112 )