Investor sentiment antecedents

2019 ◽  
Vol 11 (1) ◽  
pp. 36-54 ◽  
Author(s):  
Ranjan Dasgupta ◽  
Rashmi Singh
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Emerging Market ◽  
Investment Decision ◽  
Investor Sentiment ◽  
Equation Modeling ◽  
Content Type ◽  
Investment Decision Making ◽  
Retail Investors ◽  
Specific Factors

PurposeThe determinants of investor sentiment based on stock market proxies are found in numbers in empirical studies. However, investor sentiment antecedents developed from primary survey measures by constructing an investor sentiment index (ISI) are not done till date. The purpose of this paper is to fill this research gap by first developing an ISI for the Indian retail investors and then examining the investor-specific, stock market-specific, macroeconomic and policy-specific factors’ individual impact on the investor sentiment.Design/methodology/approachFirst, the authors develop the ISI by using the mean scores of six statements as formulated based on popular direct investor sentiment surveys undertaken throughout the world. Then, the authors employ the structural equation modeling approach on the responses of 576 respondents on 40 statements (representing the index and four study hypotheses) collected in 2016 across the country.FindingsThe results show that investor- and stock market-specific factors are the major antecedents of investor sentiment for these investors. However, interestingly macroeconomic fundamentals and policy-specific factors have no role to play in driving their sentiment to invest in the stock market.Practical implicationsThe major implication of the results is that the Indian retail investors are showing a mixed approach of Bayesian and behavioral finance decision making. So, these implications can guide the investment consultants, regulators, other stakeholders in markets and overwhelmingly the retail investors to introspect their investment decision making across time horizons.Originality/valueThe formulation of ISI in an emerging market context and thereafter examining possible antecedents to influence retail investors in their investment decision making are not done till date. So, the study is unique in its research issue and findings and will have significant implication for the retail investors at least in emerging market contexts.

Influence of investor sentiment and its antecedent on investment decision-making using partial least square technique

2020 ◽  
Vol 43 (11) ◽  
pp. 1441-1459
Author(s):  
Haritha P.H. ◽  
Rashmi Uchil
Keyword(s):  
Decision Making ◽  
Social Interaction ◽  
Stock Market ◽  
Investment Decision ◽  
Investor Sentiment ◽  
Partial Least Square ◽  
Individual Investors ◽  
Content Type ◽  
Investment Decision Making ◽  
The Impact

Purpose The purpose of this paper is to determine whether individual investor sentiment and its factors influence investment decision-making behavior in the Indian stock market. The study contributes to the novel conceptual framework that integrates the impact of investor sentiment and outlines the role of its factors (herding, media factor, advocate recommendation and social interaction) during the investment decision-making process. Design/methodology/approach In this paper, data were collected using a structured questionnaire survey from Indian individual investors. It uses self-reported sources of information collected via a survey of individual investors and estimated the linkage via path modeling. The collected data were analyzed using partial least square structural equation modeling to examine the relationship between the construct, namely, herding, media, advocate recommendation and social interaction with investor sentiment and investment decision-making. Findings The study shows that herding, media factor, advocate recommendation and social interaction significantly and positively influence the investor sentiment. Among all the factors, social interaction has the lowest influence on investor sentiment. The study also reveals that investor sentiment has a positive impact on investment decision-making. Practical implications The study provides valuable insights for the individual investors, financial advisors, policymakers and other stakeholders. 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. The paper also sheds light upon the influence of investor sentiment and its antecedents on investment decision-making. The study 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. Originality/value There are very few studies that deal with the behavioral aspects of individual investors in an emerging market context. The study mainly focuses on the antecedent of investor sentiment and its influence on investment decision-making in the Indian stock market. To the best of authors’ knowledge, the present study unique nature that examines the impact of the antecedent of investor sentiment which was not explored in the Indian context and investment decision-making of individual investors.

scholarly journals Investors’ Behavior and Perceptions Towards Stock Market: Structural Equation Modeling Approach

2018 ◽  
Vol 7 (4.36) ◽  
pp. 586
Author(s):  
D. Kinslin ◽  
V. P. Velmurugan
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Structural Equation ◽  
Tamil Nadu ◽  
Investment Decision ◽  
Equation Modeling ◽  
Stock Indices ◽  
Investment Decision Making ◽  
Irrational Behavior ◽  
Decision Making Behavior

Investors’ behavior and perception towards stock indices performances of the stock market was taken into account for this study. Relevant data was collected from 416 equity investors indulged in the stock market situated in diverse parts of southern Tamil Nadu, India. This research focuses on how the investors’ perceptions regarding stock indices movements of stock markets are affected by their irrational behavior, rational behavior and decision making behavior. In this study SEM approach was applied to analyze the data. The observations from the study disclosed that, the hypothesized model has a good fit and indicates that the anticipated model has the adequate fit, by way of satiating the suggested values. The finding indicates that investors are partly rational and partly irrational because they collect complete financial information and use this information for investment decision making and also use short cuts for decision making. 

Does underconfidence matter in short-term and long-term investment decisions? Evidence from an emerging market

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maqsood Ahmad
Keyword(s):  
Decision Making ◽  
Stock Exchange ◽  
Emerging Market ◽  
Investment Decision ◽  
Investment Decisions ◽  
Investment Strategies ◽  
Short Term ◽  
Content Type ◽  
Investment Decision Making

PurposeThe purpose of this article is to clarify the mechanism by which underconfidence heuristic-driven bias influences the short-term and long-term investment decisions of individual investors, actively trading on the Pakistan Stock Exchange.Design/methodology/approachInvestors' underconfidence has been measured using a questionnaire, comprising numerous items, including indicators of short-term and long-term investment decision. In order to establish the influence of underconfidence on the investment decisions in both the short and long run, a 5-point Likert scale questionnaire has been used to collect data from the sample of 203 investors. The collected data were analyzed using SPSS and AMOS graphics software. Hypotheses were tested using structural equation modeling technique.FindingsThis article provides further empirical insights into the relationship between heuristic-driven biases and investment decision-making in the short and long run. The results suggest that underconfidence bias has a markedly negative influence on the short-term and long-term decisions made by investors in developing markets. It means that heuristic-driven biases can impair the quality of both short-term and long-term investment decisions.Practical implicationsThis article encourages investors to avoid relying on cognitive heuristics, namely, underconfidence or their feelings when making short-term and long-term investment strategies. It provides awareness and understanding of heuristic-driven biases in investment management, which could be very useful for finance practitioners' such as investor who plays at the stock exchange, a portfolio manager, a financial strategist/advisor in an investment firm, a financial planner, an investment banker, a trader/broker at the stock exchange or a financial analyst. But most importantly, the term also includes all those persons who manage corporate entities and are responsible for making its financial management strategies. They can improve the quality of their decision-making by recognizing their behavioral biases and errors of judgment, to which we are all prone, resulting in more appropriate investment strategies.Originality/valueThe current study is the first to focus on links between underconfidence bias and short-term and long-term investment decision-making. This article enhanced the understanding of the role that heuristic-driven bias plays in the investment management and more importantly, it went some way toward enhancing understanding of behavioral aspects and their influence on the investment decision-making in an emerging market. It also adds to the literature in the area of behavioral finance specifically the role of heuristics in investment strategies; this field is in its initial stage, even in developed countries, while, in developing countries, little work has been done.

Deriving wisdom from virtual investing communities: an alternative strategy to stock recommendations

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahul Kumar ◽  
Shubhadeep Mukherjee ◽  
Bipul Kumar ◽  
Pradip Kumar Bala
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Business Processes ◽  
Investment Decision ◽  
Investment Strategy ◽  
Individual Investors ◽  
Content Type ◽  
Stock Market Development ◽  
Economic Wealth ◽  
Investment Decision Making

Purpose Colossal information is available in cyberspace from a variety of sources such as blogs, reviews, posts and feedback. The mentioned sources have helped in improving various business processes from product development to stock market development. This paper aims to transform this wealth of information in the online medium to economic wealth. Earlier approaches to investment decision-making are dominated by the analyst's recommendations. However, their credibility has been questioned for herding behavior, conflict of interest and favoring underwriter's firms. This study assumes that members of the online crowd who have been reliable, profitable and knowledgeable in the recent past will continue to be so soon. Design/methodology/approach The authors identify credible members as experts using multi-criteria decision-making tools. In this work, an alternative actionable investment strategy is proposed and demonstrated through a mock-up. The experimental prototype is divided into two phases: expert selection and investment. Findings The created portfolio is comparable and even profitable than several major global stock indices. Practical implications This work aims to benefit individual investors, investment managers and market onlookers. Originality/value This paper takes into account factors: the accuracy and trustworthiness of the sources of stock market recommendations. Earlier work in the area has focused solely intelligence of the analyst for the stock recommendation. To the best of the authors’ knowledge, this is the first time that the combined intelligence of the virtual investment communities has been considered to make stock market recommendations.

Factors influencing investor’s decision making in Pakistan

2018 ◽  
Vol 10 (1) ◽  
pp. 70-87 ◽  
Author(s):  
Muhammad Haroon Rasheed ◽  
Amir Rafique ◽  
Tayyaba Zahid ◽  
Muhammad Waqar Akhtar
Keyword(s):  
Decision Making ◽  
Locus Of Control ◽  
Structural Equation ◽  
Quantitative Research ◽  
Investment Decision ◽  
Equation Modeling ◽  
Individual Investors ◽  
Content Type ◽  
Investment Decision Making ◽  
The Impact

Purpose The purpose of this paper is to look at the impact of two most commonly used heuristics, namely, representative bias and availability bias on investment decision making and to check that either locus of control interact with the said relations through theoretical proposal and then verification through empirical evidence. Design/methodology/approach The study is a quantitative research using a survey questionnaire for its data collection. Data are collected from 227 investors operating at Islamabad, Lahore, and Sargodha in Pakistan and analyzed using structural equation modeling while the interaction effect is analyzed through simple linear regression following the rules set by Baron and Kenny (1986). Findings The results reveal that both of the heuristics under study significantly cause investors to deviate from rational decision making while the locus of control have no significant moderating effect. Originality/value The proposed model provides insight on how the behavioral factors can lead investors to suboptimal decision making. This study is first of its kind to quantify the degree of irrationality caused by these factors. The findings of this study are practically useful for individual investors, investment managers, and also for policy makers.

Digital innovation in wealth management landscape: the moderating role of robo advisors in behavioural biases and investment decision-making

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ankita Bhatia ◽  
Arti Chandani ◽  
Rajiv Divekar ◽  
Mita Mehta ◽  
Neeraja Vijay
Keyword(s):  
Decision Making ◽  
Loss Aversion ◽  
Investment Decision ◽  
Equation Modeling ◽  
Individual Investors ◽  
Digital Innovation ◽  
Content Type ◽  
Advisory Services ◽  
Wealth Management ◽  
Investment Decision Making

Purpose Innovation is the way of life and we see various innovative techniques and methods being introduced in our daily life. This study aims to focus on digital innovation in the wealth management domain. This study examines the effect of usage of robo-advisory services in investment decision-making and behavioural biases, i.e. overconfidence and loss aversion. Such studies are more pronounced in developed countries and little has been studied about investor behaviour in association with advisory services in developing countries such as India. Design/methodology/approach Overconfidence and loss-aversion biases, investment decision-making and advisory services questions are measured using a five-point Likert scale. The number of respondents was 172 investors. A purposive sampling is used for gathering responses from investors. Structural equation modeling model was run using AMOS 22 version software package. Findings The authors found that behavioural biases positively and significantly influence the irrationalities of investment decision-making. The findings of this study also provide empirical evidence that the usage of robo-advisory services, by individual investors, is still incapable of mitigating behavioural biases, such as overconfidence bias and loss-aversion bias. Research limitations/implications The sample size of this study could be a limiting factor. This study is limited only to two biases, while other behavioural biases affect the investment decision-making of the investors, which can be considered for future research along with the impact of robo-advisory services in different socio-cultural backgrounds. Practical implications This study will assist fintech start-ups, banks, architecture of robo advisors, product owners and wealth management service providers improvise their products, platforms and offerings of these automated advisory services. This could help individual investors to mitigate their behavioural biases in investment decision-making. Social implications This study is useful to society as the awareness of robo-advisory services is very less, at present, and there is a need to increase the usage of these services to extend the benefit of this to the lower stratum of society. These services would be useful to all investors who find it difficult to afford financial advisors and help them mitigate their behavioural biases for investment decision-making. Originality/value This study is the first of its type that establishes the linkage between behavioural biases, digital innovation in fintech, i.e. robo-advisory services and individual investor’s investment decision-making in individual investor of the Indian stock market.

A qualitative inquiry into the investment decision behaviour of the Malaysian stock market investors

2016 ◽  
Vol 8 (3) ◽  
pp. 246-267 ◽  
Author(s):  
Haruna Babatunde Jaiyeoba ◽  
Razali Haron
Keyword(s):  
Stock Market ◽  
Information Seeking ◽  
Investment Decision ◽  
Investment Decisions ◽  
Qualitative Inquiry ◽  
Structured Interviews ◽  
Content Type ◽  
Investment Decision Making ◽  
Retail Investors ◽  
Stock Market Investors

Purpose The main purpose of this study was to examine the investment decision behaviour of retail investors in Malaysia. Design/methodology/approach The study adopted semi-structured interviews to solicit an understanding of six retail investors on investment decision behaviour in Malaysia. Content analysis technique was used to analyse the data and verbatim texts were applied in discussing the emergent themes. Findings The findings indicate that retail investors in Malaysia are patriotic in nature, and their investment decisions are based on feeling of comfort or convention rather than quantitative analysis. They rely so much on their findings rather than third party’s views for making investment decisions. They were influenced by the psychological biases because they herd on the information. Challenges are solved through experience, and they believe that proper understanding of the financial and economic settings of the country can enhance better investment decision-making. Research limitations/implications A more detailed investigation on the investors’ behaviour with more samples may expand our understanding of this issue. Future studies need to examine the investment decision behaviour with more samples. Practical implications First, it will prepare hit and run investors to be more ready to remain in the market and improve their skills on how to make sound investment decisions. Second, it helps the investors to know that knowledge of traditional finance theory is not sufficient to excel in stock market, and, hence, they need to know more about behavioural finance. Third, investors are exposed to various reasons as to why investment decisions deviate from expected and different means of solving the challenges faced in making investment decision within the Malaysian context. Fourth, investors are reminded that understanding the financial settings before investing is essential. Finally, policy makers in stock market are able to understand the retail investors’ behaviour. Originality/value This study examines the experience and prospect to remain as stock market investors, their priorities in selecting the right company for investment purposes, the kind of information seeking from third parties, the challenges faced by them and other important considerations in investment decisions. These have never been examined together in this way in investigation of retail investors’ investment behaviour.

scholarly journals A Study on The Behavioural Aspects of Retail Investors for Investment Decision Making in Telangana State

2016 ◽  
Vol 1 (1) ◽  
pp. 51-59
Author(s):  
Jhansi Rani Boda ◽  
G. Sunitha ◽  
Parag Ray
Keyword(s):  
Decision Making ◽  
Behavioral Finance ◽  
Investment Decision ◽  
Investment Behavior ◽  
Behavioral Patterns ◽  
Behavioral Factors ◽  
Investment Decision Making ◽  
Retail Investors ◽  
Telangana State ◽  
Behavioural Aspects

Objective - Investment is the commitment of funds which have been saved from the current consumption with an expectation of favorable future returns. Investment behavior is concerned with choices made about the purchase of a significant number of securities for an individual or institutional account. Individual investment behavior is relatively a new area of research in behavioral finance. This study aims to identify the various behavioral patterns of retail investors and their investment decision making in the newly formed Telangana state of India. Methodology/Technique - Data were collected from a sample of 200 retail investors via a structured questionnaire. Factor analysis was then conducted to critically identify the behavioral patterns of the retail investors. Findings - The findings of this study indicate that the two behavioral factors of Heuristics and Prospect have significant impact on the investment decision making attitudes of the retail investors. Novelty - As a newly formed state in India, the Telangana state provides potential investment opportunities for retail as well as institutional investors. It is thus, highly imperative to explore how retail investors make investment decisions especially in the newly formed Telangana State in India Type of Paper: Empirical Keywords: Behavioral Factors; Behavioral Finance; Investment Behavior; Investment Decision Making; Retail Investor.

scholarly journals Factor Influencing Investor’s Decision Making in Indonesia: Moderating the Role of Locus of Control

2020 ◽  
pp. 49-56
Author(s):  
Febria Nalurita ◽  
Farah Margaretha Leon ◽  
Hamdy Hady
Keyword(s):  
Decision Making ◽  
Locus Of Control ◽  
Loss Aversion ◽  
Structural Equation ◽  
Investment Decision ◽  
Equation Modeling ◽  
Investment Decision Making ◽  
Market Factors ◽  
Regret Aversion

This study aims to investigate the effect of loss aversion, regret aversion, and market factors, on investment decision making with the moderating role of locus of control. Data collection is done by distributing questionnaires. The survey was conducted on individual investors in the Indonesia Stock Exchange in Jakarta to obtain a sample of 281. This research uses the Structural Equation Modeling approach. The statistical tool used is LISREL 8.8. This study found that loss aversion, regret aversion, and market factors significantly influence investment decision making. Locus of control plays the role of moderation between loss aversion, regret aversion, market factors, and investment decision making. The novelty in this study reveals the research that needs to be done to encourage investors to make rational decisions and control the required rate of returns through their locus of control. This research helps investors to make decisions logically and rationally with an open mind, high-performance thoughts and positive actions for investment goals that produce positive returns.

Role of personal values in investment decisions

2016 ◽  
Vol 39 (8) ◽  
pp. 940-964 ◽  
Author(s):  
Otuo Serebour Agyemang ◽  
Abraham Ansong
Keyword(s):  
Decision Making ◽  
Corporate Governance ◽  
Quantitative Methods ◽  
Investment Decision ◽  
Personal Values ◽  
Investment Decisions ◽  
Content Type ◽  
Investment Decision Making ◽  
Recent Emergence ◽  
Decision Making Processes

Purpose This paper aims to examine the role personal values play in investment decision-making processes among Ghanaian shareholders. Design/methodology/approach In consequence of the recent emergence of the issue of corporate governance practices in Ghana, and the kind of the research objective of this paper, a mix of qualitative and quantitative methods was used. These methods were used in two stages. The first stage was qualitative, which purposively selected 20 individual shareholders to solicit their perspectives on how personal values influence investment decisions. Their responses were used to construct the content of this enquiry. The second stage, which was quantitative, used stratified sampling technique to select 503 individual shareholders to confirm the responses obtained from stage one of the enquiry. Findings The findings of the study reveal that individual shareholders in Ghana hold value priorities and that honesty, a comfortable life and family security play a significant role in their lives and their investment decision-making processes, and the kind of companies they choose to invest in. Also, to Ghanaian individual shareholders, there is a clear distinction between a comfortable life and a prosperous life in the sense that they are not incentivized more by the latter but by the former in their investment decisions. Practical implications The results can inform corporate directors and managers what values are considered in investment decisions, and that it is not purely financial. With these results, they can be informed that while some financial values are important, it is just to live a comfortable life and not a prosperous life. This may influence these directors and managers to have a more long-run focus and to have more of a corporate social responsibility (CSR) focus by putting implementable measures in place to tackle corporate responsibility issues and to take up a responsibility for their CSR feat. Also, the results can be used for public policy in that if regulators find out that more CSR-type information is important to investors, they might require additional CSR-type disclosures in financial statements. Originality/value This paper contributes to the knowledge on the stakeholder perspective of corporate governance that individual shareholders’ personal values have influence on their investment decisions and the choice of companies they invest in.

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