scholarly journals Risk Tolerance, Marketing Information and Investment Decision Makings Under Loss Aversion: Theory and Evidence

2011 ◽  
Author(s):  
Chi-Lu (Edward) Peng
Keyword(s):  
Loss Aversion ◽  
Investment Decision ◽  
Risk Tolerance ◽  
Marketing Information

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.

Mobile investment technology adoption among investors

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lu Fan
Keyword(s):  
Technology Adoption ◽  
Financial Services ◽  
Diffusion Of Innovations ◽  
Mobile Apps ◽  
Investment Decision ◽  
Risk Tolerance ◽  
Content Type ◽  
Investment Decision Making ◽  
Mobile Financial Services ◽  
Money Transfers

PurposeThe purpose of this study is to examine investors' internal characteristics, including investment literacy, risk tolerance and familiarity with mobile financial services, as antecedents of mobile investment technology adoption among American investors.Design/methodology/approachUsing the 2018 National Financial Capability Study and its supplemental Investor Survey, this study examined antecedents, including investors' internal characteristics, in relation to mobile investment technology adoption. Nested logistic regression analyses were performed for adopting mobile apps for investment decisions and for investment trading.FindingsThis study found that objective and subjective investment knowledge, experience using mobile banking for payments and money transfers, and certain ownerships of investment vehicles (such as whole-life insurance policies and ETFs) were significant determinants of mobile investment decision-making. On the other hand, subjective investment literacy, risk tolerance, familiarity with mobile financial services, and portfolio value, as well as certain types of investment vehicles were significantly associated with mobile investment trading.Originality/valueThis study is among the first to examine investors' investment literacy, risk tolerance and familiarity with mobile financial services as investors' internal characteristics in relation to mobile investment technology adoption. The diffusion of innovations theory and related concepts provide theoretical support for this study. The findings provide new insights into mobile investing as an emerging FinTech subject and provide implications for practitioners and FinTech developers, as well as contribute to the literature of mobile investment service adoption among retail investors.

Impact of Behavioral Biases in Financial Risk Tolerance Ability of Mutual Fund Investors

2021 ◽  
Vol 7 (5) ◽  
pp. 2748-2765
Author(s):  
Nidhi Jain ◽  
Bikrant Kesari
Keyword(s):  
Mutual Fund ◽  
Financial Risk ◽  
Positive Impact ◽  
Investment Decision ◽  
Central India ◽  
Risk Tolerance ◽  
Behavioral Biases ◽  
Asset Class ◽  
Level Of Knowledge ◽  
Financial Risk Tolerance

Objective: The Behavioral bias is the term that deals with the investors’ psychology about their investment decision with their investment expertise. Every individual is biased, according to standard economic theory by his behavior and experiences which are rational. Methods: This research seeks to segregate mutual fund holders into various groups (persons and professionals) based on Behavioral biases and then investigates whether these Behavioral biases are influencing the level of knowledge of investors and the financial risk tolerance of certain mutual funds. Statistical tools compare investors characteristics and analyse how Behavioral biases are associated. Results: The factors analysed are financial circumstance, Type of Investors, Asset class preference, Time Horizon and Purpose of Investment. The primary information was gathered from 250 Central India mutual fund investors dependent on Judgment sampling. CFA, Correlation, MANOVA and Regression. Conclusions: Findings shows the effect of the behavior bias has positive impact on mutual fund investor awareness and financial risk tolerance.

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.

scholarly journals How do emotional intelligence and behavioral biases of investors determine their investment decisions?

2020 ◽  
Vol 14 (1) ◽  
pp. 35-47
Author(s):  
Saloni Raheja ◽  
Babli Dhiman
Keyword(s):  
Decision Making ◽  
Stock Exchange ◽  
Investment Decision ◽  
Sample Selection ◽  
Investment Decisions ◽  
Risk Tolerance ◽  
Content Type ◽  
Behavioral Biases ◽  
Investment Decision Making ◽  
The Impact

Purpose In earlier studies, research has shown that EI is the only element, which influences the ways in which people develop in their lives, jobs and social skills control their emotions and get along with other people. It is EI that dictates the way people deal with one another and understand emotions. The research gap is to explore the impact of behavioral factors and investors psychology on their investment decision-making. Design/methodology/approach The information was gathered from 500 financial specialists. The region of research was the financial specialists who contribute through LSC Securities Ltd. in Punjab State. The purposive testing system was used in this examination. Findings The investigation found that the positive connection between the conduct predispositions of the financial specialists and venture choices of the speculators and positive connection between enthusiastic insight of the financial specialists and their venture choices. Yet, the authors found that the enthusiastic insight better foresees the venture choices of the financial specialists than the conduct predispositions of the speculators. Among the different elements of conduct inclinations of the speculator’s lament and carelessness are identified with the financial specialist’s venture choices. Among the various estimations of eager understanding – care, dealing with emotions, motivation, empathy and social aptitudes are related to the hypothesis decisions of the monetary pros. Research limitations/implications The sample selection was based on purposive sampling, rather than a random probability sample. The sample was area specific, restricted only to Ludhiana Stock Exchange in Punjab state. Therefore, the results of the study cannot be generalized with certainty to all the investors investing through other exchanges in other states. The inferences are based on the assumption that the data provided by the investors are true and correct. The findings may be relevant for other stock exchanges as that of the Ludhiana Stock Exchange. However, the authors do not claim the generalization of the results. Practical implications This study also helps to understand the relationship between investment decision-making and risk tolerance of investors. It will helpful for the financial advisors to know the behavioral biases of investors while making an investment decision, and therefore, they can advise investors properly to mitigate such biases. It may help the investors in understanding the subjective part of their behavior and control their emotions while taking decisions for their investment in stock market options. Social implications This research will help investment advisors and finance professionals to judge investors’ attitudes toward risk in a better way, which leads to better investment decisions. Originality/value This study is my own study and it is original and has not been published anywhere.

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 CEO emotional bias and investment decision Bayesian Network method

2012 ◽  
Vol 9 (2) ◽  
pp. 239-256 ◽  
Author(s):  
Mohamed Ali Azouzi ◽  
Anis Jarboui
Keyword(s):  
Bayesian Network ◽  
Loss Aversion ◽  
Investment Decision ◽  
Investment Decisions ◽  
Behavioral Analysis ◽  
Central Hypothesis ◽  
Network Method ◽  
Emotional Bias ◽  
Investment Choices ◽  
Behavioral Perspective

This research examines the determinants of firms’ investment introducing a behavioral perspective that has received little attention in corporate finance literature. The following central hypothesis emerges from a set of recently developed theories: Investment decisions are influenced not only by their fundamentals but also depend on different factors. One factor is the biasness of any CEO to their investment, biasness depends on the cognition and emotions, because some leaders use them as heuristic for the investment decision instead of fundamentals. Keeping this in view, this paper shows how CEO emotional bias (optimism, loss aversion and overconfidence) effects the investment decisions. I will use Bayesian Network Method to examine this relation. Emotional bias has been measured by means of a questionnaire comprising several items. As for the selected sample, it has been composed of some100 Tunisian executives. Our results have revealed that the behavioral analysis of investment decision implies leader affected by behavioral biases (optimism, loss aversion, and overconfidence) adjusts its investment choices based on their ability to assess alternatives (optimism and overconfidence) and risk perception (loss aversion) to create of shareholder value and ensure its place at the head of the management team.

scholarly journals Study of Investment Decisions and Personal Characteristics through Risk Tolerance: Moderating Role of Investment Experience

2020 ◽  
Vol 9 (34) ◽  
pp. 57-68
Author(s):  
Nasira Perveen ◽  
Ashfaq Ahmad ◽  
Muhammad Usman ◽  
Faiza Liaqat
Keyword(s):  
Positive Impact ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
Personal Characteristics ◽  
Risk Tolerance ◽  
Individual Investors ◽  
Financial Advisors ◽  
Investment Experience ◽  
The Relationship

Investment decisions could be affected by behavioral biases associated with personal characteristics. This study empirically investigates the effect of personal characteristics on investors’ investment decision through risk tolerance. Furthermore, investment experience moderates the nexus between personal characteristics and risk tolerance. The scale consisting of 24 items was used related to selected constructs and variables. Data was collected form 175 individual investors of Pakistan Stock Exchange. PLS-SEM was used to make statistical analysis. The findings indicate that extraversion has substantial positive impact on investment decisions. Moreover, risk tolerance partially mediates the relationship between extroversion and investment decisions. The relationship between introversion and investment decisions is negative and risk tolerance partially mediates the aforesaid relationship. Furthermore, it is statistically proved that investment experience substantially moderates the association between extraversion and risk tolerance. However, investment experience does not play any conditional role in the association between introversion and risk tolerance. This study can be helpful for financial advisors to provide best consultancy to their clients (investors), while considering their personal characteristics.

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.

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