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Deep Learning Tools for Predicting Stock Market Movements
book

Deep Learning Tools for Predicting Stock Market Movements

by Renuka Sharma, Kiran Mehta
May 2024
Beginner to intermediate
496 pages
13h 15m
English
Wiley-Scrivener
Content preview from Deep Learning Tools for Predicting Stock Market Movements

14Impact of Emotional Intelligence on Investment Decision

Pooja Chaturvedi Sharma

Department of Accounting and Finance, Apeejay School of Management, Delhi, India

Abstract

This study is conducted to analyze the impact of emotional intelligence on the investment decision-making of Indian investors. Investors can improve their decision-making process regarding investments by recognizing and comprehending their emotions, which can reduce the conflicts that arise during the decision-making process. The survey method was used for collecting the primary data to test the research model. Data have been sourced from 239 Indian investors with market experience of at least 3 years in the four major metro cities, namely, Delhi, Mumbai, Kolkata, and Chennai. Respondent categories included postgraduate students, entrepreneurs, professional investors, public and private organizations employees, and individual investors. The Likert scale–based questionnaire was administered. The research employed statistical techniques such as exploratory factor analysis (EFA) and multiple regression analysis to reveal the fundamental pattern among a significant number of variables. Data analysis identified four factors affecting emotional intelligence and investment decisions, namely, attitude, emotions, perception, and low risk. The study’s results validated a significant and straightforward link between investment choices and emotional intelligence, highlighting the considerable influence of emotional ...

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Publisher Resources

ISBN: 9781394214303Purchase Link