Is the investment decision affected by the independence and competence of the audit committee? A comparative study between Bahrain and Indonesia

2020 ◽  
Vol 21 (1) ◽  
pp. 29-48
Author(s):  
Abdullah Hamza Al-Hadrami ◽  
Ahmad Rafiki ◽  
Adel Sarea ◽  
Muhammad Dharma Tuah Putra Nasution
Keyword(s):  
Decision Making ◽  
Financial Reporting ◽  
Internal Control ◽  
Audit Committee ◽  
Investment Decision ◽  
Investment Decisions ◽  
Cross Sectional ◽  
Content Type ◽  
Investment Decision Making ◽  
The Impact

Purpose This study aims to investigate the impact of the audit committee’s (AC’s) independence and competence in the company’s investment decision-making in Bahraini- and Indonesian-listed firms, then to compare the two results Design/methodology/approach A quantitative method is used and cross-sectional data are collected through a self-administered questionnaire survey. A stratified random sample technique is adopted with a total of 409 respondents from 39 listed companies in Bahrain and 303 respondents from 27 companies listed on the Indonesia Stock Exchange (IDX). A descriptive analysis is used to identify the characteristics of the respondents, while a correlation analysis, linear regression and t-test analyses are used to test the model, explain the relationships among variables and compare the two studies (Bahrain vs Indonesia). Findings It is found that the AC independence and AC competence have a positive and significant influence on investment decision-making for both the Bahrain and the Indonesia studies Practical implications The current study’s results have implications for the process of appointing and nominating the AC members, since this would affect an investor’s investment decision. Investors’ perception of the independence and competence of ACs will make a difference in their investment decisions. Originality/value AC independence and competence are importantly crucial for the decision-makers in improving the quality of financial reporting, internal control, and audit. This may lead to an increase in investors’ trust in financial reports and their ability to make favorable investment decisions.

The impact of an audit committee's independence and competence on investment decision: a study in Bahrain

2020 ◽  
Vol 5 (2) ◽  
pp. 299-313
Author(s):  
Abdullah Al-Hadrami ◽  
Ahmad Rafiki ◽  
Adel Sarea
Keyword(s):  
Decision Making ◽  
Financial Reporting ◽  
Internal Control ◽  
Investment Decision ◽  
Descriptive Analysis ◽  
Listed Companies ◽  
Financial Reports ◽  
Content Type ◽  
Investment Decision Making ◽  
The Impact

PurposeThis study aims to investigate the impact of the audit committee's (AC) independence and competence on the company's investment decision-making in Bahraini-listed companies.Design/methodology/approachA quantitative method is used, and crosssectional data are collected through a self-administered questionnaire survey. A stratified random sample technique is adopted with a total of 409 respondents from 39 listed companies. A descriptive analysis is used to identify the characteristics of the respondents, while the correlation analysis and linear regression analyses are used to test the model and explain the relationship between variables.FindingsIt is found that the AC independence and AC competence have a positive and significant influence on investment decision-making.Originality/valueThe AC’s independence and competence are importantly crucial for the decision-makers in improving the quality of financial reporting, internal control and audit. This may lead to the increase in investors' trust on financial reports and thereby making favorable investment decisions.

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 Impact of Heuristics on Investment Decisions: The Moderating Role of Locus of Control

2020 ◽  
Vol 5 (1) ◽  
pp. 1-14
Author(s):  
Jeetendra Dangol ◽  
Rashmita Manandhar
Keyword(s):  
Decision Making ◽  
Locus Of Control ◽  
Investment Decision ◽  
Investment Decisions ◽  
Sampling Procedure ◽  
Moderating Effect ◽  
Moderation Effect ◽  
Investment Decision Making ◽  
Overconfidence Bias ◽  
The Impact

This paper aims to assess the impact of heuristics on the investment decision by analysing the effect of four heuristic biases, i.e., representativeness, availability, anchoring and adjustment, and overconfidence bias on rationality of Nepalese investor's investment decision-making and also examines the moderating effect of the internal locus of control in between. The study used 391 respondents based on a convenient sampling procedure, and structured questionnaire survey. The study result indicates that there is a significant relationship between irrationality in investment decision-making and all four heuristic biases. In addition, the study also concludes that locus of control has significant moderating effect in the relationship between investment decisions and three heuristic biases, i.e., availability, representative and anchoring bias. However, the study documents no moderation effect in case of relationship with overconfidence bias.

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.

scholarly journals An Analysis of Behavioral Biases in Investment Decision-Making

2019 ◽  
Vol 10 (4) ◽  
pp. 55 ◽  
Author(s):  
Geetika Madaan ◽  
Sanjeet Singh
Keyword(s):  
Decision Making ◽  
Positive Impact ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Decisions ◽  
Individual Investors ◽  
Behavioral Biases ◽  
Investment Decision Making ◽  
Survey Responses ◽  
The Impact

Individual investor’s behavior is extensively influenced by various biases that highlighted in the growing discipline of behavior finance. Therefore, this study is also one of another effort to assess the impact of behavioral biases in investment decision-making in National Stock Exchange. A questionnaire is designed and through survey responses collected from 243 investors. The present research has applied inferential statistics and descriptive statistics. In the existing study, four behavioral biases have been reviewed namely, overconfidence, anchoring, disposition effect and herding behavior. The results show that overconfidence and herding bias have significant positive impact on investment decision. Overall results conclude that individual investors have limited knowledge and more prone towards making psychological errors. The findings of the study also indicate the existence of these four behavioral biases on individual investment decisions. This study will be helpful to financial intermediaries to advice their clients. Further, study can be elaborated to study other behavioral biases on investment decisions.

Evaluation of behavioral biases affecting investment decision making of individual equity investors by fuzzy analytic hierarchy process

2019 ◽  
Vol 12 (3) ◽  
pp. 297-314 ◽  
Author(s):  
Jinesh Jain ◽  
Nidhi Walia ◽  
Sanjay Gupta
Keyword(s):  
Decision Making ◽  
Behavioral Finance ◽  
Investment Decision ◽  
Investment Decisions ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Behavioral Biases ◽  
Investment Decision Making ◽  
Overconfidence Bias ◽  
Hierarchy Process

Purpose Research in the area of behavioral finance has demonstrated that investors exhibit irrational behavior while making investment decisions. Investor behavior usually deviates from logic and reason, and consequently, investors exhibit various behavioral biases which impact their investment decisions. The purpose of this paper is to rank the behavioral biases influencing the investment decision making of individual equity investors from the state of Punjab, India. This research would provide valuable insight into the different behavioral biases to investors and other participants of the capital market and help them in improving investment decisions. Design/methodology/approach The research is conducted on the individual equity investors of Punjab, India. Fuzzy analytic hierarchy process was applied to rank the factors influencing the decision making of individual equity investors of Punjab. The primary factors considered for the study are overconfidence bias, representative bias, anchoring bias, availability bias, regret aversion bias, loss aversion bias, mental accounting bias and herding bias. Findings The three most influential criteria were herding bias, loss aversion bias and overconfidence bias. The five most influential sub-criteria were “I readily sell shares that have increased in value (C61),” “News about the company (Newspapers, TV and magazines) affects my investment decision (C84),” “I invest each element of my investment portfolio separately (C71)” and “I usually hold loosing stock for long time, expecting trend reversal (C52).” Research limitations/implications Although sample survey conducted in the present study was based on a limited sample selected from a particular area that truly represented the total population, it is considered as the limitation of this study. Practical implications The outcome of this research provides investors with a better understanding of behavioral biases that influence their decision making. This study provides them a guideline on different behavioral biases that they should consider while making investment decisions. Originality/value The research model is based on the available literature on behavioral finance and the research results and findings would add value to the existing knowledge base.

Challenging investment decision-making in pension funds

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carl-Christian Trönnberg ◽  
Sven Hemlin
Keyword(s):  
Decision Making ◽  
Critical Incident ◽  
Pension Fund ◽  
Investment Decision ◽  
Investment Decisions ◽  
Pension Funds ◽  
Content Type ◽  
Fund Managers ◽  
Intuitive Thinking ◽  
Investment Decision Making

PurposeThe purpose of this study was to gain a better understanding of pension fund managers investment thinking when confronted with challenging investment decisions. The study focuses on the theoretical question of how dual thinking processes in experts’ investment decision-making emerge. This question has attracted interest in economic psychology but has not yet been answered. Here, it is explored in the context of pension funds.Design/methodology/approachThe sample included 22 pension fund managers. The authors explored their decision-making by applying the critical incident interview technique, which entailed collecting investment decisions that fund managers retrieved from recent memory (Flanagan, 1954). Questions concerned the investment situation, the decision-making process and the challenges and uncertainties the fund managers faced.FindingsMany of the 61 critical incidents examined concerned challenging (mostly stock) investments based on extensive analysis (e.g. reliance on external analysts for advice; analysis of massive amounts of hard company and stock market information; scrutiny of company reports and personal meetings with CEOs). However, fund managers to a high degree based their decisions on soft information judgments such as experience and qualitative judgements of teams. The authors found heuristics, intuitive thinking, biases (sunk cost effects) and social influences in investment decision-making.Research limitations/implicationsThe sample is small and not randomly selected.Practical implicationsThe authors suggest anti-bias training and better acquaintance with human forecasting limitations for pension fund managers.Originality/valuePension fund managers’ investment thinking has not previously been investigated. The authors show the types of investment situations in which analytical and intuitive thinking and biases occur.

The influence of big data analytics management capabilities on supply chain preparedness, alertness and agility

2019 ◽  
Vol 32 (2) ◽  
pp. 297-318 ◽  
Author(s):  
Santanu Mandal
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Supply Chain ◽  
Data Analytics ◽  
Investment Decision ◽  
Big Data Analytics ◽  
Content Type ◽  
Investment Decision Making ◽  
Management Capabilities ◽  
The Impact

Purpose The importance of big data analytics (BDA) on the development of supply chain (SC) resilience is not clearly understood. To address this, the purpose of this paper is to explore the impact of BDA management capabilities, namely, BDA planning, BDA investment decision making, BDA coordination and BDA control on SC resilience dimensions, namely, SC preparedness, SC alertness and SC agility. Design/methodology/approach The study relied on perceptual measures to test the proposed associations. Using extant measures, the scales for all the constructs were contextualized based on expert feedback. Using online survey, 249 complete responses were collected and were analyzed using partial least squares in SmartPLS 2.0.M3. The study targeted professionals with sufficient experience in analytics in different industry sectors for survey participation. Findings Results indicate BDA planning, BDA coordination and BDA control are critical enablers of SC preparedness, SC alertness and SC agility. BDA investment decision making did not have any prominent influence on any of the SC resilience dimensions. Originality/value The study is important as it addresses the contribution of BDA capabilities on the development of SC resilience, an important gap in the extant literature.

Behavioural biases in investment decision making – a systematic literature review

2015 ◽  
Vol 7 (1) ◽  
pp. 88-108 ◽  
Author(s):  
Satish Kumar ◽  
Nisha Goyal
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Empirical Research ◽  
Systematic Literature Review ◽  
Investment Decision ◽  
Future Research ◽  
Behavioural Finance ◽  
Content Type ◽  
Investment Decision Making ◽  
The Impact

Purpose – The purpose of this paper is to systematically review the literature published in past 33 years on behavioural biases in investment decision-making. The paper highlights the major gaps in the existing studies on behavioural biases. It also aims to raise specific questions for future research. Design/methodology/approach – We employ systematic literature review (SLR) method in the present study. The prominence of research is assessed by studying the year of publication, journal of publication, country of study, types of statistical method, citation analysis and content analysis on the literature on behavioural biases. The present study is based on 117 selected articles published in peer- review journals between 1980 and 2013. Findings – Much of the existing literature on behavioural biases indicates the limited research in emerging economies in this area, the dominance of secondary data-based empirical research, the lack of empirical research on individuals who exhibit herd behaviour, the focus on equity in home bias, and indecisive empirical findings on herding bias. Research limitations/implications – This study focuses on individuals’ behavioural biases in investment decision-making. Our aim is to analyse the impact of cognitive biases on trading behaviour, volatility, market returns and portfolio selection. Originality/value – The paper covers a considerable period of time (1980-2013). To the best of authors’ knowledge, this study is the first using systematic literature review method in the area of behavioural finance and also the first to examine a combination of four different biases involved in investment decision-making. This paper will be useful to researchers, academicians and those working in the area of behavioural finance in understanding the impact of behavioural biases on investment 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.

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