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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/116211


    Title: Trading as sharp movements in oil prices and technical trading signals emitted with big data concerns
    Authors: Min-Yuh Day;Yensen Ni;Paoyu Huang
    Keywords: Technical indicators;Investors' sentiments;Constituent stocks;Trading performance;Market efficiency
    Date: 2019-07
    Issue Date: 2019-04-10 12:10:53 (UTC+8)
    Publisher: Elsevier
    Abstract: 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.
    Relation: Physica A: Statistical Mechanics and its Applications 525, p.349-372
    DOI: 10.1016/j.physa.2019.03.038
    Appears in Collections:[Department of Management Sciences] Journal Article

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