Investigating association between factors fostering attention to a stock and rationales to buy it: an empirical analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ripsy Bondia ◽  
Pratap C. Biswal ◽  
Abinash Panda
Keyword(s):  
Decision Making ◽  
Categorical Data ◽  
Categorical Variables ◽  
Individual Investors ◽  
Multiple Response ◽  
Individual Investor ◽  
Test Statistic ◽  
Chi Square ◽  
Content Type ◽  
First Order

PurposeCan something that drives our initial attention toward a stock have any implications on final decision to buy it? This paper empirically and statistically tests association, if any, between factors fostering attention toward a stock and rationales to buy it.Design/methodology/approachThis paper uses survey responses of individual investors involving multiple response categorical data. Association between attention fostering factors and rationales is tested using a modified first-order corrected Rao-Scott chi-square test statistic (to adjust for within-participant dependence among responses in case of multiple response categorical variables). Further, odds ratios and mosaic plots are used to determine the effect size of association.FindingsStrong association is seen between attention fostering factors and rationales to buy a stock. Further, strongest associations are seen in cases where origin is the same underlying influencing factor. Some of the most cited attention fostering factors and rationales in this research stem from familiarity bias and expert bias.Practical implicationsWhat starts as a trivial attention fostering factor, which may not even be recognized by majority investors, can go on to become one of the rationales for buying a stock. This can result in substantial financial implications for an individual investor. Investor education agencies and regulatory authorities can make investors cognizant of such association, which can help investors to improve and adjust their decision making accordingly.Originality/valueThe extant literature discusses factors/biases influencing buying decisions of individual investors. This research takes a step ahead by distinguishing these factors in terms of whether they play role of (1) fostering attention toward a stock or (2) of reasons for ultimately buying it. Such dissection of factors/biases, to the best of authors' knowledge, has not been done previously in any empirical and statistical analysis. The paper uses multiple response categorical data and applies a modified first-order corrected Rao-Scott chi-square statistic to test association. Application of the above-mentioned test statistic has not been done previously in context of individual investor decision-making.

scholarly journals Financial literacy and behavioural biases of individual investors: empirical evidence of Pakistan stock exchange

2020 ◽  
Vol 25 (50) ◽  
pp. 261-278
Author(s):  
Nosheen Rasool ◽  
Safi Ullah
Keyword(s):  
Financial Literacy ◽  
Stock Exchange ◽  
Individual Investors ◽  
Individual Investor ◽  
Chi Square ◽  
Content Type ◽  
Planning Decisions ◽  
Financial Decision ◽  
Financial Behaviour ◽  
The Relationship

Purpose Financial literacy is a crucial element of financial decision-making, exerting significant influence on the behaviour of individual investors, while making budgetary, house financing, stock investing and retirement planning decisions. So, the purpose of this research is to determine the relationship between financial literacy and behavioural biases of individual investors in Pakistan. Design/methodology/approach In this research paper, a sample of 300 observations was obtained through questionnaires from individual investors residing in Lahore and invested in Pakistan Stock Exchange. The data obtained, was passed through Cronbach’s Alpha and Exploratory Factor Analysis (EFA). The hypothesis developed for the research was tested by Pearson’s Chi-square and Ordinal Regression Analysis. Findings The hypothesis testing of the research concluded that there is a negative association between financial literacy and behavioural biases of individual investors. So, it means; with an increase in level of financial literacy, the likelihood of investor facing behavioural biases reduces. It also appeared that male respondents have more financial literacy than female respondents Originality/value Previous studies in the field of finance, identified different factors causing the financial behaviour of individual investor of Pakistan, and also focused on level of financial literacy in Pakistan, but these studies have not emphasized the crucial relationship between financial literacy and behavioural biases of individual investors. Thus, the unique empirical analysis developed in this paper has accentuated the financial literacy as a factor that mitigates behavioural biases of individual investor.

Kenneth Fisher’s heuristics

2016 ◽  
Vol 8 (2) ◽  
pp. 130-148
Author(s):  
Carlo Massironi ◽  
Giusy Chesini
Keyword(s):  
Decision Making ◽  
Conceptual Analysis ◽  
Investment Decision ◽  
Real Life ◽  
Human Action ◽  
Theory Of Knowledge ◽  
Constructivist Theory ◽  
Individual Investors ◽  
Content Type ◽  
Radical Constructivist

Purpose The authors are interested in building descriptive – real life – models of successful investors’ investment reasoning and decision-making. Models designed to be useful for trying to replicate and evolve their reasoning and decision-making. The purpose of this paper, a case study, is to take the substantial material – on innovating the investing tools – published in four books (2006/2012, 2010, 2011, 2015) by a US stock investor named Kenneth Fisher (CEO of Fisher Investments, Woodside, California) and sketch Fisher’s investment innovating reasoning model. Design/methodology/approach To sketch Fisher’s investment innovating reasoning model, the authors used the Radical constructivist theory of knowledge, a framework for analyzing human action and reasoning called Symbolic interactionism and a qualitative analytic technique called Conceptual analysis. The authors have done qualitative research applied to the study of investment decision-making of a single professional investor. Findings In the paper, the authors analyzed and described the heuristics used by Fisher to build subsequent generations of investing tools (called by Fisher “Capital Markets Technology”) to try to make better forecasts to beat the stock market. The authors were interested in studying the evolutive dimensions of the tools to make forecasts of a successful investor: the “how to build it” and “how to evolve it” dimension. Originality/value The paper offers an account of Kenneth Fisher’s framework to reason the innovation of investing tools. The authors believe that this paper could be of interest to professional money managers and to all those who are involved in the study and development of the tools of investing. This work is also an example of the use of the Radical constructivist theory of knowledge, the Symbolic interactionist framework and the Conceptual analysis to build descriptive models of investment reasoning of individual investors, models designed to enable the reproduction/approximation of the conceptual operations of the investor.

Categorizing sentiment and its impact on REIT returns

2015 ◽  
Vol 41 (9) ◽  
pp. 958-973 ◽  
Author(s):  
Daniel Huerta ◽  
Dave O. Jackson ◽  
Thanh Ngo
Keyword(s):  
Investor Sentiment ◽  
Institutional Investor ◽  
Individual Investors ◽  
Individual Investor ◽  
Content Type ◽  
Portfolio Rebalancing ◽  
Multiple Sample ◽  
Security Pricing ◽  
And Performance ◽  
The Impact

Purpose – The purpose of this paper is to reexamine the impact of investor sentiment on real estate investment trust (REIT) returns using direct, survey-based measures of sentiment to categorize sentiment from institutional and individual investors. Design/methodology/approach – The authors provide a framework in which sentiment is classified into individual and institutional investor sentiment under the assumption that investors, depending on sophistication, react differently to the same set of information and will influence REIT prices differently. The authors employ a methodology that uses panel regression analyses and divides the sample of REITs into size and performance portfolios. Findings – The regression results suggest that institutional investor sentiment is positively and significantly related to REIT returns contemporaneously for multiple sample specifications. These results are consistent with high levels of institutional ownership in REITs. Results also suggest that individual investor sentiment only influences small capitalization and low-α portfolios. Originality/value – The findings provide more evidence on the influence of investor sentiment on security pricing even for highly regulated sectors such as the REIT industry. Investors may use changes in sentiment as signals for portfolio rebalancing and capital allocations.

Development and validation of behavioral biases scale: a SEM approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ritika ◽  
Nawal Kishor
Keyword(s):  
Decision Making ◽  
Investment Decision ◽  
Phase 1 ◽  
Secondary Data ◽  
Higher Order ◽  
Second Order ◽  
Individual Investors ◽  
Content Type ◽  
Behavioral Biases ◽  
Investment Decision Making

PurposeThis paper attempts to identify the biases in decision-making of individual investors. The paper aims to develop and validate a higher-order behavioral biases scale.Design/methodology/approachScale development is done by identifying the relevant items of the scale through existing literature and then, adding new items for some biases. In phase 1, using a structured questionnaire, data was collected from 274 investors who invest in financial markets. The major dimensions of the scale have been pruned by using exploratory factor analysis administered on data collected in phase 1. Higher-order CFA is used to analyze the data and to validate the scale on another set of data (collected in phase 2) containing 576 investors.FindingsThe study reveals that the scale for measuring behavioral biases has many dimensions. It has two second-order factors and 13 zero-order constructs. Two second-order constructs have been modeled on the basis of cause of errors in investment decision-making, that is, biases caused due to cognition, biases caused due to emotions.Originality/valueBehavioral biases are yet to receive a due attention, especially, in the Indian context. The present research is focusing on providing an empirically tested scale to test the behavioral biases. Some of the biases, which have been analyzed using secondary data in previous studies, have been tested with the help of statements in this study.

Evidence on rationality and behavioural biases in investment decision making

2016 ◽  
Vol 8 (4) ◽  
pp. 270-287 ◽  
Author(s):  
Satish Kumar ◽  
Nisha Goyal
Keyword(s):  
Decision Making ◽  
Path Model ◽  
Decision Making Process ◽  
Individual Investors ◽  
Significant Implication ◽  
Rational Decision ◽  
Content Type ◽  
Rational Decision Making ◽  
Significant Difference ◽  
The Relationship

Purpose The purpose of this paper is to investigate the relationship between rational decision-making and behavioural biases among individual investors in India, as well as to examine the influence of demographic variables on rational decision-making process and how those differences manifest themselves in the form of behavioural biases. Design/methodology/approach Using a structured questionnaire, a total of 386 valid responses have been collected from May to October 2015. Statistical techniques like t-test, analysis of variance (ANOVA) and Fisher’s least significant difference (LSD) test have been used in this study. Structural equation modelling (SEM) has been used to analyse the relationship between rational decision-making and behavioural biases. Findings The findings show that the structural path model closely fits the sample data, indicating investors follow a rational decision-making process while investing. However, behavioural biases also arise in different stages of the decision-making process. It further explores that gender and income have a significant difference with respect to rational decision-making process. Male investors are more prone to overconfidence and herding bias in India. Research limitations/implications The findings of the study have significant implication for the individual investors. It is recommended that if individuals are aware about the biases, they may become alert before taking irrational investment decisions. Originality/value To best of the authors’ knowledge, the present study is a first of its kind to investigate the relationship between rational decision-making and behavioural biases among individual investors in India.

Are smart beta funds really smart? Evidence from rational and quasi-rational investor sentiment data

2019 ◽  
Vol 12 (2) ◽  
pp. 97-118
Author(s):  
Rahul Verma ◽  
Gökçe Soydemir ◽  
Tzu-Man Huang
Keyword(s):  
Institutional Investors ◽  
Institutional Investor ◽  
Individual Investors ◽  
Leading Indicators ◽  
Individual Investor ◽  
Short Term ◽  
Content Type ◽  
Economic Fundamentals ◽  
Investor Sentiments ◽  
Smart Beta

Purpose The purpose of this paper is to examine the relative effects of rational and quasi-rational sentiments of individual and institutional investors on a set of smart beta fund returns. The magnitudes of the impacts of institutional investor sentiments are greater than those of individual investor sentiments. In addition, both rational and quasi-rational sentiments of individual and institutional investors have significant impacts on smart beta fund returns. The magnitudes of the impacts of quasi-rational sentiments are greater than those of the rational sentiments for both types of investors (quasi-rational sentiments of institutional investors have the maximum impact). These results are consistent with the arguments that professional investors consider the sentiments of individual investors as contrarian leading indicators which are mainly driven by noise while conform the sentiments of institutional investors which are driven by more rational factors. A majority of smart beta funds in the sample outperform the S&P500 returns in the short term but fail to consistently beat the market. The authors find evidence that smart beta funds with consistently high returns are relatively less (more) driven by individual (institutional) investor sentiments. Overall, the authors argue that smart beta funds appear to follow quasi-rational sentiments of both individual and institutional investors that are not rooted in economic fundamentals. Design/methodology/approach The results of the impulse functions generated from a multivariate model suggest that the smart beta fund returns are negatively (positively) impacted by individual (institutional) investor sentiments. Findings The magnitudes of the impacts of institutional investor sentiments are greater than those of individual investor sentiments. In addition, both rational and quasi-rational sentiments of individual and institutional investors have significant impacts on smart beta fund returns. The magnitudes of the impacts of quasi-rational sentiments are greater than those of the rational sentiments for both types of investors (quasi-rational sentiments of institutional investors have the maximum impact). Originality/value These results are consistent with the arguments that professional investors consider the sentiments of individual investors as contrarian leading indicators which are mainly driven by noise while conform the sentiments of institutional investors which are driven by more rational factors. A majority of smart beta funds in the sample outperform the S&P500 returns in the short term but fail to consistently beat the market. The authors find evidence that smart beta funds with consistently high returns are relatively less (more) driven by individual (institutional) investor sentiments. Overall, the authors argue that smart beta funds appear to follow quasi-rational sentiments of both individual and institutional investors that are not rooted in economic fundamentals.

Perfectionist decision-making style and ethical investment willingness

2018 ◽  
Vol 56 (3) ◽  
pp. 534-549 ◽  
Author(s):  
Yu-Cheng Lin ◽  
Chiung-Yao Huang ◽  
Yu-Shan Wei
Keyword(s):  
Decision Making ◽  
Structural Equation ◽  
Investment Decision ◽  
Moral Intensity ◽  
Equation Modeling ◽  
Individual Investors ◽  
Ethical Investment ◽  
Financial Returns ◽  
Content Type ◽  
Ethical Investments

Purpose The purpose of this paper is to examine the ethical investment willingness decision-making process to understand how investors evaluate corporate social responsibility (CSR) actions. Design/methodology/approach Data were collected through a survey of 298 individual investors and analyzed using structural equation modeling. Findings Results reveal that perfectionist decision-making style is positively related to perceived moral intensity, substitutability of financial returns, and ethical investment willingness. In addition, perceived moral intensity and substitutability of financial returns are positively related to ethical investment willingness. Finally, perceived moral intensity is positively related to substitutability of financial returns, and a two-factor causal mediation model is supported. Research limitations/implications The limitation of this study was that the pre-tests and sampling methods required all participants to have investing experience; however, procurement of trading information for each investor was impossible; thus, actual investment behaviors were undetermined. This study shed light on the mediating roles of perceived moral intensity and the substitutability of financial returns. Future studies can further investigate the factors influencing perceived moral intensity and the substitutability of financial returns. Practical implications Future ethical investment education can focus on cultivate the ability to distinguish ethical investments and change ethical investment willingness into actual investment behavior. Originality/value Understanding the relationship between these variables can help understand why ethical investment willingness varies among investors and how the traditional financial theory investment decision model should be revised as, internationally, more people have begun to observe CSR and sustainable development.

Past behaviour, financial literacy and investment decision-making process of individual investors

2020 ◽  
Vol 15 (6) ◽  
pp. 1243-1263 ◽  
Author(s):  
Rajdeep Kumar Raut
Keyword(s):  
Decision Making ◽  
Financial Literacy ◽  
Structural Equation ◽  
Investment Decision ◽  
Individual Investors ◽  
Successful Implementation ◽  
Snowball Sampling ◽  
Content Type ◽  
Investment Decision Making ◽  
External Variables

PurposeThis study aims to explore the importance of past behaviour and financial literacy in the investment decision-making of individual investors and examines the validity of the theory of planned behaviour in this context.Design/methodology/approachThe study used a self-administered questionnaire and adopted the convenience sampling technique followed by a snowball sampling method for the survey to collect data from the individual investors covering the four distinct states of India. Collected data were analysed on AMOS 20.0 using two-step structural equation modelling (SEM).FindingsResults indicated a significant effect of all the predictive variables. Past behaviour showed no significant direct impact on investor's intention; however, it had an indirect significant relationship while mediated by the attitude of investors. The multiple squared correlation (R2) showed that the final model could explain 36% of the variance in investors' intention towards stock investment which signified a successful implementation of the TPB model along with external variables added to it. Moreover, Indian investors were found to be highly influenced, primarily, by social pressure which could be curbed through financial literacy.Practical implicationsA significant importance of subjective norms was found on stock market participation which could be a strategic theme for the government and the policymakers to educate investors through their opinion leaders for increasing their participation. Moreover, by doing so investors could control their behaviour and take rational decisions.Originality/valueThis study extended the understandings of investor's decision-making behaviour using TPB by incorporating the two external variables viz., Financial literacy and past behaviour. The addition of past behaviour is perhaps the novelty of this article since such examination has not been conducted empirically especially in the case of developing countries like India.

Analyzing causal relationships of effective factors on the decision making of individual investors to purchase shares

2019 ◽  
Vol 36 (1) ◽  
pp. 12-41
Author(s):  
Hossein Sayyadi Tooranloo ◽  
Pedram Azizi ◽  
Ali Sayyahpoor
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Stock Exchange ◽  
Individual Investors ◽  
Multi Criteria Decision Making ◽  
Causal Relationships ◽  
Content Type ◽  
Factors Affecting ◽  
Effective Factors

Purpose Changes in economic markets have made it necessary to understand the psychology of individual investors. Conducting effective studies on the decision of investors to buy stock in the stock market can be useful. Therefore, it is necessary to identify and prioritize the factors affecting the decision-making of investors to purchase shares of the stock exchange. The purpose of this study was to analyze causal relationships and to weight effective factors on individual investment to purchase shares of Tehran Stock Exchange. Design/methodology/approach The present study is applied research in the term of its purposes and a descriptive-survey one in the term of data gathering methods. The data required in this study was collected through library and field studies. The study population included 35 investment experts. In present study, multi-criteria decision-making techniques in type-2 fuzzy environments have been used to analyze the causal relationships and weighing the factors affecting individual investment in purchasing stock in the stock market. Findings In the study, 4 indicators and 20 sub-indicators influencing individual investors’ decision to purchase shares of Tehran Stock Exchange were selected based on the literature review in the field of investment in the stock exchange, as well as interviews with experts. Analyzing the opinions of experts showed that they have much paid attention to financial index compare to the economic, political and psychological indicators of the market in determining the priority of indicators. In analyzing sub-indicators, it was identified that Iranian investors pay special attention to economic and political developments, political news and international economic developments. Research limitations/implications The present study has been carried out in Iran, and therefore, is geographically limited to Iran. In thematic terms, it is limited to effective factors of individual investments in Tehran Stock Exchange. The statistical population of present study was limited to investing experts in Tehran Stock Exchange. The difference in financial, economic, social and political conditions of individuals was another limitation of present study. The main consequences of research were the explanation of causes of investors’ higher attention to financial factors than economic, political and mental factors of market in buying stocks. Originality/value Given the uncertainty in the market status, using multi-criteria decision-making techniques in financial analysis can help decision-makers to make better decisions. In addition, it would be possible to take into account many variables that do not have a mathematical aspect but are important in decision-making and lead to increased decision-making satisfaction. The research initially analyzed causal relationships of determinants of individual investment on stock exchange for buying stocks through a type-2 fuzzy approach.

Analyst’s ability, media selection and investor interests: evidence from China

2017 ◽  
Vol 7 (1) ◽  
pp. 67-84 ◽  
Author(s):  
Yugang Yin ◽  
Bin Tan
Keyword(s):  
Decision Making ◽  
Mass Media ◽  
Financial Markets ◽  
Abnormal Returns ◽  
Earnings Forecasts ◽  
Individual Investors ◽  
Content Type ◽  
Conflict Of Interests ◽  
The Impact

Purpose The purpose of this paper is to find out whether the election of star analysts leads to the conflict of interests between analysts\institutional investors and individual investors. And then, further investigate how the election results to influence the individual investors’ decision making. Design/methodology/approach Given the fact that earnings forecasts and stock ratings are the most important foundations for the investor’s investment decision, the authors investigate the relationship among the earnings forecasts, abnormal returns and the election of star analyst. This paper further analyzes the impact factors on investors’ decision. The data used in this paper for star analysts’ information, analysts’ forecast and recommendations, as well as stock performances-related data are from 2005 to 2012. Findings This paper finds that mass media cannot select analysts with high forecast accuracy, and then misleads investors. It demonstrates that the analysts with poorer forecast ability and more optimistic stock recommendations are more prone to be entitled as star analysts by mass media, and these titled star analysts tend to show a poorer performance. Therefore, the star analyst worsens investors’ cognition on analysts forecast ability and then misleads investors’ decision making. Social implications Media plays a critical role in corporate governance, information collection and diffusion and reducing the information asymmetry, however, it is good to know the role of media in financial markets from a broader perspective. Because media may also bring negative factors to the financial markets such as misguiding the investors and intensify the conflict of interests between analyst and individual investors. Originality/value This paper supports a new perspective of the role of mass media in financial market, which is different from existing studies.

Sign in / Sign up

Export Citation Format

Share Document