Abstract
Traditional finance believes that an investor always gathers all the necessary information and rationally reacts in their investment decisions. However, behavioural finance recognizes that human emotions, biases, and cognitive errors have a significant impact on making decisions for investment in the stock market. Investment decisions involve the process by which investors select the most appropriate investment strategy when analyzing various investment opportunities. Behavioural biases on the other hand can influence individuals' investment decisions and lead them to make choices that deviate from their objectives because rely more on emotion. Knowledge of technical analysis as an investment tool will control and help investors make investment decisions properly and achieve positive returns. Hence, this conceptual paper aims to propose a research framework that empirically examines the relationship between behavioural biases toward investment decisions with the moderating role of technical analysis. The finding will become a starting point for future research where this knowledge has uses in both academic and business practitioners.
Keywords: Behavioural Biases, Investment Decision, Technical Analysis
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Johan, Nurul Haida nurul042@.uitm.edu.my Misman, Faridah Najuna UNSPECIFIED Ahmad Fadzil, Ahmad Syahmi UNSPECIFIED |
Subjects: | H Social Sciences > HG Finance > Financial management. Business finance. Corporation finance > Earnings management > Malaysia H Social Sciences > HG Finance > Investment, capital formation, speculation > Stock exchanges. Insider trading in securities |
Divisions: | Universiti Teknologi MARA, Johor > Segamat Campus > Faculty of Business and Management |
Journal or Publication Title: | Insight Journal (IJ) |
UiTM Journal Collections: | Listed > INSIGHT Journal (IJ) |
ISSN: | 2600-8564 |
Volume: | 11 |
Page Range: | pp. 198-216 |
Related URLs: | |
Keywords: | Behavioral Biases, Investment Decision, Technical Analysis |
Date: | 2024 |
URI: | https://ir.uitm.edu.my/id/eprint/110291 |