Effect Of Behavioral Biases Research Articles

Effect of Behavioural Biases on Investment Decisions of Individual Investors in India

The current study "effect of behavioural biases on investment decisions of individual investors in India" aims to uncover and quantify the influence of behavioural biases on individual investors' investment decisions. The study's goal is to examine the influence of behavioural biases on individual investors' investing decisions. It is discovered that five components are formed from the thirteen items as a consequence of heuristics factor analysis, namely Availability, Representativeness, Overconfidence, Anchoring, and Gambler's Fallacy. The prospective factor analysis also reveals that three components are retrieved and loaded from the eleven items, namely Loss Aversion, Regret Aversion, and Mental Accounting. According to the findings of this study, behavioural biases affect individual investors while making investment decisions in the Indian securities market. Investor behaviour in making investment decisions is influenced to a larger extent by availability, representativeness, overconfidence, anchoring, and loss aversion. To be successful, an investor must first understand his or her own investment behaviour, which begins with recognising and avoiding behavioural biases from their own experiences, followed by setting realistic and achievable goals through a diversifiable portfolio, and taking into account all financial market mechanisms.

Effect of Behavioral Biases and Financial Literacy on Investors’ Investment Decision-making in Kerala, India

Effect of Behavioral Biases and Financial Literacy on Investors’ Investment Decision-making in Kerala, India

Behavioral finance impacts on US stock market volatility: an analysis of market anomalies

Abstract This study investigates the impacts of behavioral finance on stock market volatility. The primary aims are to explain the reasons behind changes in the S&P 500 price within the context of behavioral finance and to analyze investor behavior in response to these changes. To achieve this, the research employs time-series analysis over a 10-year period, focusing on the S&P 500, real interest rates, consumer confidence, market volatility and credit default swaps while considering the effects of behavioral biases. The findings reveal several significant correlations: rising real interest rates negatively affect stocks due to loss aversion and sentiment. Conversely, higher consumer confidence tends to positively influence the stock market, driven by herding behavior and optimism. Additionally, market volatility shows a negative correlation with the S&P 500, influenced by risk aversion, recency bias and herding behavior. Moreover, an increase in credit default swap rates leads to stock market declines, primarily influenced by risk perception, loss aversion and herding behavior.

Newsvendor overconfidence and advertising

Overconfidence, as the most robust behavioral bias, has been confirmed to be a leading cause of human newsvendors’ pull-to-center (PTC) ordering bias. Most existing studies have focused solely on inventory decisions, overlooking the complexities that arise from the interface between operations management (OM) and marketing. As marketing and OM become increasingly intertwined and make decision-making more challenging, this paper examines the impacts of overconfidence on newsvendor’s joint ordering and advertising decisions. Our study uncovered new decision biases that arise from overconfidence and have not been previously identified. Specifically, we found that overconfidence leads to over-advertising and a novel ordering behavior called the leapfrogging effect, where inventory can jump from underordering to overordering for medium-high margin products. Furthermore, our study shows that overconfidence can still result in a PTC-like effect for newsvendors who advertise. We also found that overconfidence has a more detrimental effect on profits for newsvendors with advertising. These findings highlight the need for overconfident newsvendors to be aware of choosing advertising because advertising can harm profits for overconfident newsvendors, while consistently improving profits for well-calibrated newsvendors. Overall, our study emphasizes the need to consider the effects of behavioral biases on decision-making in more complex contexts, particularly in the operations-marketing interface.

Effect of Behavioral Biases on Investment Decision Making in Nepalese Stock Market with the Mediating Role of Investors’ Sentiment

The current study explores the impact of behavioral biases such as market factors, herding behavior and awareness factors on investors’ decision-making on the Nepal Stock Exchange and also investigates the mediating role of investors’ sentiment in the relationship among the variables. To comprehend investor sentiment (IS) and how individual investors make decisions, this study introduced an innovative conceptual framework incorporating herding behavior, market dynamics, and awareness factors. A quantitative methodology was used to conduct the investigation, specifically employing a survey research design. This study made use of primary data that was collected by means of a structured questionnaire and gathered data from 408 individual investors. The convenience sample method was used, while structural equation modeling was used as a statistical tool to test hypothesis. It was determined how the market factor, herd behavior, and awareness affect investors' sentiment and decision-making by using structural equation modeling. The result showed that the most notable factors that affect investors’ sentiment were herding factors. Similarly, in the absence of a moderating variable, investors' sentiment is affected by all variables, including market factors, herding behavior, and awareness factors which have a significant impact on investors decision-making in the Nepal Stock Exchange. This study aims to assist individual investors in Nepal by guiding their investment choices and preventing sentiment-driven errors. It emphasizes the importance of understanding fellow investors' sentiment and suggests that awareness programs can enhance market understanding. Previous research has typically examined only a few factors at a time. This current study explores how various factors affecting investor sentiment—like market factors, herding behavior, and awareness—impact investment decision-making among individual investors in Nepal. Importantly, these factors have never been studied together in the context of how Nepalese individual investors make decisions about their investments.

Effects of behavioral biases on life insurance demand decisions in Uganda

PurposeThis paper examines the relationship between behavioral biases, and demand decisions for life insurance products in Uganda.Design/methodology/approachData were collected from 351 life insurance policyholders in Uganda. The authors used a cross-sectional survey by applying a structured questionnaire. Descriptive analysis was conducted and hypothesized relationships between the constructs were evaluated through the use of structural equation modeling.FindingsResults indicate that, behavioral biases are significant predictors of life insurance demand among Ugandan policyholders. Also, the two behavioral bias variables (heuristic bias and prospect bias) are significant predictors of demand decisions for life insurance products.Practical implicationsThese results are helpful for both insurers and regulators. For insurers, it is now evident that demand decisions for life insurance products are not fully rational. It is imperative for insurers to simplify life insurance product information (heuristics), integrate product education and widen dissemination of product information (prospect bias) to allow policyholders to come up with optimal demand decisions. While for insurance policymakers, the study provides an understanding of behavioral biases. With such insights, policymakers can identify exploitative and deceptive information that target policyholders to better guide life insurance documentation and product designs.Originality/valueThis study is the first to offer insights into behavioral biases' influence on demand decisions for life insurance products in a developing country like Uganda. By integrating prospects and expected utility theory, this study examines rationality and irrationality in demand decisions for life insurance products.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2023-0201

Effect of Behavioural Biases on the Financial Decisions of Rural Women Micro-entrepreneurs: A Scale Development Approach

The basic purpose of this article is to understand the impact of behavioural biases on the financial decisions of the rural women micro-entrepreneurs. The indicators were selected based on the literature review and exploratory interview, and in consultation with the experts of the funding agencies (mainly banks) to cover behavioural biases of the rural women micro-entrepreneurs. In order to design the scale, SEM AMOS 26 software along with SPSS 26 was used for data analysis. Reliability score and exploratory factor analysis were conducted with the help of SPSS 26 software. Overconfidence of the rural women micro-entrepreneurs negatively influenced their financial decisions. Rural women micro-entrepreneurs were found to be better financial decision-makers as past loss from their financial decisions did not deter them from taking risk. The loss aversion bias did not influence the financial decisions of the rural women micro-entrepreneur. However, the regret aversion bias and the anchoring bias positively influence their financial decisions, depicting the impact of behavioural biases on their financial decisions. The present study can be further extended to identify the impact of moderating and mediation variables. The impact of other emotional and cognitive behavioural biases on the financial decisions of the rural women micro-entrepreneurs can also be considered. The understanding of impact and the effect of behavioural biases on financial decisions of rural women micro-entrepreneurs will help to identify the rationale behind financial decision-making of the rural women micro-entrepreneurs. Most of rural women micro-entrepreneur has to deal with decisions related to finance. The confidence with which they handle their money is a reflection on how confidently they can handle their business. The present study attempts to design and validate a comprehensive behavioural bias scale influencing financial decisions of the rural women micro-entrepreneurs. To the best of the knowledge of the author, almost no studies have focused adequately to explore the influence of behavioural biases on the financial decisions of women micro-entrepreneurs. Thus, the aim of this research is to understand the influence of behavioural biases on the financial decisions of rural women micro-entrepreneurs and design a robust and comprehensive scale.

Take up

Abstract Why are take up rates incomplete or low when the relevant opportunities are unambiguously advantageous to people who are eligible for them? How can public officials promote higher take up of opportunities? All over the world, these are challenges of the first order. There are three primary barriers to take up: learning costs, compliance costs, and psychological costs. These costs lower the net expected benefit of opportunities, and reduce participation in otherwise advantageous programs. Fully rational agents would consider these costs in their take up decisions, and in light of behavioral biases, such costs loom especially large and may seem prohibitive. Experimental and other evidence suggest methods for reducing the barriers to take up and the effects of behavioral biases. Use of such methods has the potential to significantly increase access to a wide range of opportunities that would increase individual well-being and social welfare.

Influence of behavioral biases while making decision on mutual fund investment

Introduction: Investors are risk averse they take decisions rationally. But there are a few biases which disturb the rationality of the Investors. Behavioral biases such as anchoring, herding, framing, overconfidence and representative biases have a larger influence on making investment decision. Purpose: Investment decisions are influenced by several factors, and this article examines some of those factors in addition to looking at market biases. Individual investors’ decision-making is also examined in this research. According to this study, there are additional aspects that have significant role in the decision-making process for investors. Analysis: Correlation, regression analysis, and the ANOVA test are used to determine the strength of the connection and the effect of behavioral biases on individual investors’ investing choices when it comes to mutual funds. Implication: This study will be particularly useful for fund managers who need to create new mutual fund, and will be helpful to the academicians as well, by providing an insight about the biases.

Alleviating behavioral biases at job search: Do nudges work?

We experimentally study the effectiveness of policy interventions in reducing the negative welfare effects of behavioral biases on job search. Due to quasi-hyperbolic discounting, individuals reduce their search effort and reservation wage, while the sunk-cost fallacy makes individuals decrease their reservation wage over the search spell. We compare the effects of search cost reduction and nudging. We find that search cost reduction increases the search effort and payoffs but not the reservation wage. Conversely, nudging increases the reservation wage, but not the search effort or payoffs. Both interventions reduce the impact of the sunk-cost fallacy on the reservation wage.

The effect of behavioral biases on financial decisions

Financial management decisions are made by people, and people, in all instances, are shaped by their behavioral traits. Here we provide extensive insight on the theoretical and empirical analysis made on cognitive biases and their influence on financial decisions. To provide a systematic exposition, we set three broad categories: heuristics and biases, choices (including framing and preferences) and social factors. We then describe the main biases within each category and provide an extensive revision of the main theoretical and empirical developments about their impact on financial decisions.

Impact of socio-psychological factors on investment decisions: The mediating role of behavioral biases

Unlike previous studies that examine the effect of behavioral biases on investor decision-making, this study explores the root causes of behavioral biases and examines the mediating role of behavioral biases in the relationship between different types of emotions and investment decision-making. The cognitive theory of depression, attentional control theory, and prospect theory together provide the foundation and anticipate that stress, depression, anxiety, and social interaction are the major sources of cognitive mistakes that,in turn, affect investment decision-making. Model testing relies upon the data collected from 252stock investors trading in different stock exchanges of Pakistan; in order to test the hypothesized relationship, structural equation modeling has been used. Depression is a major source of loss aversion bias. Anxiety is a strong source of herding. Stress is a major source of representative bias.Social interaction is a root cause of overconfidence. Loss aversion bias, herding, and overconfidence fully mediate the relationship between depression, anxiety, social interaction, and investor decision; however, anxiety has the strongest impact on investor decision via herding bias, while stress has both insignificant direct and indirect effect on investment decision-making. Keywords: Sources of biases, self-efficacy, behavioral pattern, investment decision.

Behavioral Finance Biases in Investment Decision Making

Traditional finance suggests that investments made by rational behaviors investors examine risk and return before decision making to gain maximum profit later behavioral finance challenge traditional finance and introduce psychological factors affect decision making. The aim of this research paper is to explore how behavioral biases affect investment decision making under uncertainty. Dependent variable investment decision making is a composite activity, it never be made in a vacuity by depending on personal resources. Based on this study investment choices alternatives influence by human rational and irrational behavior, therefore, examine the impact of behavioral finance in the decision-making process. Behavioral finance phenomenon variables; heuristic, prospects, personality characteristics, feeling, moods and ecological factors explore under this research. Overconfidence, Representativeness, Anchoring, Regret Aversion, Hindsight, Herding Effect and Home Bias included in investors psychology behaviors. Survey questionnaire tool used to collect sample to conduct quantitative research. To test the hypothesis Regression analysis run by the SPS software. Findings revealed that there was an effect of behavioral biases on investment decisions. Empirical results concluded investment decision making influenced by heuristic behaviors more than prospects and personality characteristics. The originality of this study, it is very beneficial for investors and financial institutions to make decision by observation of psychological factors.

Entrepreneurs’ behavioural biases, risk misperception and company underinsurance

We analyse the effect of behavioural biases on entrepreneurs’ decisions to insure their firms against different kinds of corporate risks. We use a large sample of 2,295 Italian small and medium enterprises (SMEs), finding that they under-insure themselves. Since SMEs should insure more – in proportion – compared to bigger companies, analysing the reasons for this underinsurance is relevant to improve entrepreneurs’ decisions and help their firms, but also from a policy-making point of view. We link corporate insurance choices with the entrepreneurs’ personal characteristics and behavioral traits as well as with their households’ financial choices. Our methodology uses stepwise regressions to discern which variables are statistically significant. In our results, we find that entrepreneurs not only underinsure their firms but also themselves, thus exposing themselves, their firms and their families to high idiosyncratic risk. We find that these suboptimal decisions are affected by behavioural biases such as overconfidence, over optimism, risk misperceptions, and stubbornness, even though in a not straightforward manner. We measure both the overall effect on the number of insurances underwritten and on the specific type of insurance contract. In general, we find that relatively bigger firms do buy more insurance, and that trust in insurance companies is a key driver to insurance purchasing, as well as the estimated probability of suffering damages in the future. In contrast, entrepreneurs do underwrite fewer insurance contracts if their firms caused or suffered damages in the past, but also if they possess personal insurances, thus treating them as substitutes for firm insurance. Since SMEs represent a very important part not only of the Italian economy but also of the economy of many other countries, analyzing their insurance-related decisions is relevant because understanding the determinants that may lead entrepreneurs to mitigate the risks they face is beneficial not only for them and their firms but also for the economy as a whole.

Narrow Framing and Retirement Savings Decisions

Theoretical studies suggest narrow framing underlies individuals' saving decisions. When narrow framing is applied to retirement savings decisions, narrow framers tend to make decisions about present consumption without considering future consumption, i.e., saving for consumption in retirement. Time preference for the present and narrow framers' preference to maintain the status quo lead to a decision that is less likely to increase savings for retirement. This study provides empirical evidence that narrow framing bias affects retirement savings decisions. Using a two‐part model, the probit estimation indicates narrow framers anticipated being less willing to increase retirement savings contributions compared to broad framers, and the OLS regression estimates that narrow framers anticipated contributing less than broad framers. Here, narrow framers anticipated being less willing to increase retirement savings (62.6% vs. 71.9%) and contributing less ($70.90 vs. $88.40) than broad framers, thus providing empirical evidence regarding the effects of behavioral biases on financial decisions.

Debiased Expert Opinions in Continuous Time Asset Allocation: Supplementary Material

This paper examines the effect of biased expert opinions on asset allocation. Expert opinions, such as brokerage research and analyst views, are an essential component of the asset management sector and an important research topic. However, the effect of behavioral biases on expert opinions is generally ignored. We find that biases have a significant impact on portfolios, explaining nearly half of the effect of expert opinions in our implementation. To address the impact of behavioral biases on expert opinions, we propose an integrated behavioral continuous time portfolio selection model which we solve in closed form. This model recommends general principles to identify and reduce the impact of five main behavioral biases. The model concludes with a new personal fractional Kelly decomposition to account for the effect of opinions on the optimal asset allocation.

Measuring the Effect of Confirmatory Bias on the Level of Investment at the Rwandan Stock Market

Behavioural finance is still a new arear which attempt to better understand and explain how emotional and cognitive errors influence investment on the stock markets. The main objective of this study was to establish the effect of confirmatory bias on investment in the Rwanda Stock Exchange. The study used cross-sectional descriptive survey research design to ascertain and establish the effect of behavioural biases on investment in the Rwanda stock exchange. The target population comprised of 13,543 individual, group investors at the Rwanda Stock Exchange. Random sampling was used where the targeted population was individual investors to finally yield a sample size of 374 respondents. A questionnaire was used to collect the primary data. A pilot test was undertaken by carrying out a small scale trial run of the research instrument. Data analysis involved the use of descriptive and inferential statistics. A Linear regression model was used to predict the probability of different possibility outcomes of dependent variables, helping to predict the probability of an investor to invest in RSE. The results confirmed that there was a significant positive linear relationship between confirmatory bias and Investment in Rwanda stock market. The study also concluded that most investors suffered from confirmatory bias in investment in stock markets. The study recommends that investors should be keen to identify such bias to increase their rationality in stock trading.

Do Behavioral Biases Affect Order Aggressiveness?*

We extend previous studies on the effect of behavioral biases on investor hold/sell decisions, and examine whether behavioral biases affect the order submission strategies. We use a unique database provided by the Shanghai Stock Exchange, which contains order submissions and executions as well as trading records of all investors. We find investors are less aggressive in submitting sell orders for stocks that experienced losses, and more aggressive in submitting sell orders for stocks that experienced gains. The sell order aggressiveness is negatively related to the size of losses, but has a quadratic relationship with the size of gains. Results are consistent with the combination of the disposition and the house money effects.

Impact of Behavioral Biases on Long Term Financial Decisions and Corporate Performance: An Evidence from Non-Financial Sector of Pakistan

Purpose: In this study, the relationship of managerial biases i.e. mental accounting, optimism and loss aversion with corporate performance is investigated. For path analysis, we explored this relationship through two subdomains of long term financial decisions (capital structure and dividend policy). Moreover, in this study, the mediating role of capital structure and dividend policy was also theorized and tested on the above-stated relationship. Sample/ Methodology/Approach: The sample of the study consisted of eighty-five (n=85) CEOs, CFOs, General Managers and Financial Treasurers of the nonfinancial sector (listed in Pakistan Stock Exchange). Primary data was collected through closed ended questionnaire by using convenience sampling technique. Statistical technique PLS-SEM was applied for data analysis by using SMART PLS 3.2 statistical package. Findings: The findings of the study depicted that behavioral biases influence corporate performance as managers take a decision under the influence of personal feelings, perceptions, and intuitions. We also inferred from the results that the effect of biases (mental accounting, optimism, and loss aversion) is significant on long term financial decisions. We also found that dividend policy and capital structure mediates the relationship between optimism and mental accounting with corporate performance. Originality/Value: This research study fills the gap in existing literature by investigating the relationship of managerial biases with corporate performance through the path of long term financial decisions of corporate financial managers. Previously, extensive research work is available on basic topic that how dividend policy and capital structure affect corporate performance, however, we found comparatively quite less discussion on stimulating forces (behavioral biases) for financial decision making and this gap is covered by this study through explaining the impact of behavioral biases on long term financial decisions which further devastate corporate performance. This study as an empirical evidence is helpful for researchers, academicians, and practitioners to understand and implement the notions coined by behavioral finance, regarding the effects of behavioral biases on long term financial decisions. Keywords: Optimism, Loss Aversion, and Mental Accounting, Long term financial decision, Corporate Performance, Pakistan.

Do Behavioral Biases Affect Order Aggressiveness?

We extend previous studies on the effect of behavioral biases on investor hold/sell decisions, and examine whether behavioral biases affect the order submission strategies. We use a unique database provided by the Shanghai Stock Exchange, which contains order submissions and executions as well as trading records of all investors. We find investors are less (more) aggressive in submitting sell orders for stocks that experienced losses (gains). The sell order aggressiveness is negatively related to the size of losses, but has a quadratic relationship with the size of gains. Results are consistent with the combination of disposition and house money effects.