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.

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

2020 ◽  
Author(s):  
Sadia Jabeen ◽  
Syed Zulfiqar Ali Shah ◽  
Naheed Sultana ◽  
Altamash Khan
Keyword(s):  
Decision Making ◽  
Social Interaction ◽  
Loss Aversion ◽  
Investment Decision ◽  
Equation Modeling ◽  
Behavioral Biases ◽  
Mediating Role ◽  
Investment Decision Making ◽  
The Relationship

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.

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.

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. 

scholarly journals Effect of Emotional Biases on Investor’s Decision Making in Nigeria

2020 ◽  
Vol 4 (1) ◽  
pp. 33-39
Author(s):  
Ebenezer Y. Akinkoye ◽  
Oluwaseun E. Bankole
Keyword(s):  
Decision Making ◽  
Loss Aversion ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
Primary Data ◽  
Investment Decision Making ◽  
Regret Aversion ◽  
Overconfidence Bias ◽  
Structured Questionnaire

The study examined emotional biases and its effect on investor’s decision making in Nigeria Primary data were employed and the population consists of clients of the top 10 stockbroking firms registered by the Nigerian Stock Exchange as at 31st January, 2018. These firms were selected because they contributed to 68.72% of total value of transactions as at 31st January, 2018. Data on emotional biases and investment decision making among investors in Nigeria were obtained through structured questionnaire which was administered to 30 clients of each stockbroking firm, totalling 300. Data analysis was done using percentages and logistic regression analysis. Findings showed that emotional biases, represented by loss-aversion bias, overconfidence bias, regret-aversion bias and herding bias were prevalent to Nigerian investors and also significantly influenced investor’s decision making in Nigeria. The study suggests that investors should improve the understanding of various emotional biases and traits exhibited by them, adopt a suitable decision technique to avoid this and seek experts’ opinion when making investment decisions.

scholarly journals The The Impact of Behavioral Aspects on Investment Decision Making

2021 ◽  
Vol 10 (1) ◽  
pp. 15-27
Author(s):  
Ninditya Nareswari ◽  
Alifia Salsabila Balqista ◽  
Nugroho Priyo Negoro
Keyword(s):  
Decision Making ◽  
Structural Equation ◽  
Investment Decision ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Herd Behavior ◽  
Investment Decision Making ◽  
Behavioral Aspects ◽  
The Impact

This study aims to investigate the impact of behavioral aspects (sentiment investor, overconfidence, salience, overreaction, and herd behavior) on investment decision making. The sample contained 413 individual investors—used partial least square structural equation modeling (PLS-SEM) as a data analysis technique. The results showed that sentiment investors, overconfidence, salience, overreaction, and herd behavior positively affect investment decision making. The finding of this study has important implications for the investor to understand themselves to anticipate bias in investment decision making.

scholarly journals The influence of risk perception, risk tolerance, overconfidence, and loss aversion towards investment decision making

2019 ◽  
Vol 21 (3) ◽  
pp. 401
Author(s):  
Nadya Septi Nur Aini ◽  
Lutfi Lutfi
Keyword(s):  
Decision Making ◽  
Risk Perception ◽  
Loss Aversion ◽  
Structural Equation ◽  
Investment Decision ◽  
Risk Tolerance ◽  
Partial Least Square ◽  
Least Square ◽  
Survey Method ◽  
Investment Decision Making

This study aims to examine the effect of risk perception, risk tolerance, overconfidence, and loss aversion on investment decision making. The sample in this study were workers in Surabaya and Jombang, East Java. There were 400 respondents taken using a questionnaire through the survey method. This study used PLS-SEM (Partial Least Square-Structural Equation Model) as a data analysis technique. The results showed that risk perception has a significant and negative effect on investment decision making, risk tolerance and overconfidence have a significant and positive effect on investment decision making, while loss aversion has no effect on investment decision making. This research is expected to provide an overview of how to deal with risk in investment and how to avoid behavioral biases in investment decisions making.

Is Awareness That Powerful? Women’s Financial Literacy Support to Prospects Behaviour in Prudent Decision-making

2021 ◽  
pp. 097215092199618
Author(s):  
Tahira Iram ◽  
Ahmad Raza Bilal ◽  
Shahid Latif
Keyword(s):  
Decision Making ◽  
Loss Aversion ◽  
Financial Literacy ◽  
Decision Process ◽  
Women Entrepreneurs ◽  
Investment Decision ◽  
Mental Accounting ◽  
Self Control ◽  
Investment Decision Making ◽  
Regret Aversion

Financial literacy is of utmost relevance in the field of entrepreneurship, especially in developing countries. However, what builds financial literacy and how it shapes investment decision-making of women entrepreneurs is an exiguously researched area. Building on this gap, this study postulates that women entrepreneurs’ prospect behavioural factors (loss aversion, regret aversion, mental accounting, and self-control) impact their investment decision process through the intervening role of financial literacy. Based on a stratified sample of 579 women entrepreneurs operating in Punjab, Pakistan, structural equation modelling was used to analyse the hypothesized relationship among variables. Findings showed that loss aversion, regret aversion, mental accounting, and self-control significantly influenced women’s financial literacy and investment decision process, whereas no impact of regret aversion was traced on investment decision-making. Thus, our results offered robust support that financial literacy stimulated by women entrepreneurs’ prospect behaviour invigorates their investment decision power.

scholarly journals Herd Behavior of Investments: An Assessment of Indian Stock Market

2020 ◽  
Author(s):  
AISDL
Keyword(s):  
Decision Making ◽  
Behavioral Finance ◽  
Structural Equation ◽  
Cognitive Biases ◽  
Investment Decision ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Herd Behavior ◽  
Investment Performance ◽  
Investment Decision Making

Behavioral finance theorists contradict market efficiency and propose that investment decision making is not always rational. Investors base their decisions on factors in addition to stock fundamentals and such factors include cognitive biases such as loss aversion, herd behavior, regret aversion, price anchoring and the like. This paper makes an attempt to analyze the influence of two major factors – herd behavior and market factors on investment decision making and in turn it's mediating effect on perception of investment performance. Structured questionnaire was used for collecting the sample for study and structural equation modeling was performed. The study presents evidence to ascertain significant influence of both the factors – herd behavior and market – on investment decision making. The mediating effect of investment decision making on perception of investment performance was also observed to be strong and significant.

scholarly journals Does Herding Behaviour and Overconfidence Drive the Investor’s Decision Making During the Covid-19 Pandemic

2021 ◽  
Vol 1 (8) ◽  
pp. 1-16
Author(s):  
Hirdinis M.
Keyword(s):  
Decision Making ◽  
Structural Equation Modeling ◽  
Data Analysis ◽  
Structural Equation ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
Equation Modeling ◽  
Herding Behavior ◽  
Investment Decision Making

This study is intended to analyze the effect of herding behavior and overconfidence in encouraging investment decision-making by investors on the Indonesia Stock Exchange in the Jakarta area. The population of this research is investors who invest in investment instruments listed on the Indonesia Stock Exchange in the Jakarta area with an unknown population, and the number of samples in this study is 100 investors. Data analysis in this study used an alternative method of Structural Equation Modeling (SEM) with Wrap PLS 5.0 data processing tools. The findings of this study is herding has a positive and significant effect on investment decisions by investors in the Jakarta area. Overconfidence has a positive and significant effect on investment decisions by investors in the Jakarta area. This means that the increasing herding and overconfidence of investors can drive the investor’s decisions making in the Jakarta area.

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.

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