Trading as sharp movements in oil prices and technical trading signals emitted with big data concerns
學年 107
學期 2
出版（發表）日期 2019-07-01
作品名稱 Trading as sharp movements in oil prices and technical trading signals emitted with big data concerns
作品名稱（其他語言）
著者 Min-Yuh Day; Yensen Ni; Paoyu Huang
單位
出版者
著錄名稱、卷期、頁數 Physica A: Statistical Mechanics and its Applications 525, p.349-372
摘要 The sentiments of market participants may be aroused when a sharp rise (fall) in oil prices is emitted. In this study, we take the trading signal emitted by the technical indicator into account accompanied with the sharp rise (fall) in oil prices into account in trading stocks. We explore whether investors will profit by trading stocks when a sharp rise (fall) in oil prices and technical trading signal are emitted together. Owing to big data concerns in employing the constituent stocks of DJ 30, FTSE 100, and SSE 50 as our samples, investors can beat the market in trading stocks. The sharp fall in oil prices, such as over 5%, and the oversold technical trading signals by the SOI occurring together can lead to better performance than trading stocks and the sharp movement in oil prices emitted only. Results revealed are for trading the constituent stocks of DJ 30, FTSE 100, and SSE 50 without exception after taking big data into account.
關鍵字 Technical indicators;Investors' sentiments;Constituent stocks;Trading performance;Market efficiency
語言 en_US
ISSN 0378-4371
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 是
國別 USA
公開徵稿
出版型式 ,電子版
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