Impact of Investor Sentiment on Investment Decision and Stock Market Volatility
Date
2020
Authors
H, Haritha P.
Journal Title
Journal ISSN
Volume Title
Publisher
National Institute of Technology Karnataka, Surathkal
Abstract
Recent years have witnessed several changes in the Indian economic market mainly in the
investment-oriented economy. The main components of economic growth are savings and
investments. The impact of these economic changes in the Indian market has enhanced the
involvement of investors in the stock market and other investment plans such as pension schemes,
mutual funds and other deposits. Behavioral finance is a contemporary research stream that studies
human fallibility in competitive markets. It explains stock pricing patterns that are not in line with
classical finance theory and aims to integrate insights from psychology. It provides evidence that
individuals tend to observe other informed traders before making investment decisions.
The purpose of the study is to describe the factors which influence investor sentiment leads to
investment decision-making of individual investors. The major factors that affect investment
decision-making considered in this study are herding behavior, market factors and awareness
factors on investor sentiment in the Indian stock market.
The study used both descriptive and exploratory approaches to provide a comprehensive analysis
of the research study. Data was primarily collected through a survey in the form of a selfadministered questionnaire from individual investors. Secondary data was collected from the RBI
website, NSE and SEBI website. The validity of the questionnaires was tested with the help of
experts and a pilot study conducted on a small group of respondents. Data was collected from
individual investors who invested in the stock market. The sample was chosen from major metro
cities on probability and non-probability sampling. Data is analyzed using Pearson’s correlation,
Partial least square method, principal component analysis and GARCH model using SPSS, PLS
and Eviews.
The results of the study indicate that herding behavior, market factors and awareness factors
(media, internet, social interaction and advocate recommendation) on investor sentiment influence
investment decision-making. Based on the findings of the study, it can be concluded that the
decision-making of investors is highly influenced by investor sentiment. The result shows that
investor sentiment has a significant influence on the investment decision-making of individuals.
Insights from the study suggest that investors should consider the psychological and emotional
factors while making an investment decision.iv
It also helps individual investors to avoid the problems faced while making an investment
decision. The study could help investors to select a suitable investment aid and avoid repeating
expensive errors, which arise due to investors’ sentiment. It is recommended to increase the
awareness regarding investors’ sentiment among individuals, to increase their understanding
of the financial settings and to make them confident while investing. Knowledge of behavioral
finance would enhance the decision-making capabilities of individual investors in the stock
market. Thus, the study calls for the need to increase awareness among Indian investors about
behavioral finance and its usefulness in investment decision-making. This study also sheds light
upon the behavior of Indian individual investors so that policymakers can take appropriate
measures to provide the appropriate guidance. Policymakers can conduct awareness campaigns
to increase investors’ knowledge of the market conditions and to enhance proper investment
decision-making among them. It confirms that the investor relies on their sentiment while making
investment decisions. Hence, the stakeholders in the stock market should focus on investor
sentiment and other psychological aspects of individual investors as well.
Description
Keywords
School of Management, Behavioral finance, Behavioral finance, Investment decision-making, Stock market volatility