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Article
Publication date: 10 May 2019

Carl-Christian Trönnberg and Sven Hemlin

The 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…

Abstract

Purpose

The 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/approach

The 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.

Findings

Many 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/implications

The sample is small and not randomly selected.

Practical implications

The authors suggest anti-bias training and better acquaintance with human forecasting limitations for pension fund managers.

Originality/value

Pension 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.

Details

Qualitative Research in Financial Markets, vol. 14 no. 2
Type: Research Article
ISSN: 1755-4179

Keywords

Article
Publication date: 2 May 2017

Shaoyu Wu and Dong Wang

This paper aims to analyze the impact of the degree of local government decision-making competition on the optimal investment amount, investment location and investment failure of…

Abstract

Purpose

This paper aims to analyze the impact of the degree of local government decision-making competition on the optimal investment amount, investment location and investment failure of innovative investment enterprise under multiple risk appetite type of innovative investment enterprise. This paper also points out three regulation paths that central government could use to avoid the influence of local government decision-making competition on the validity of enterprise innovation investment (EII).

Design/methodology/approach

Based on analysis frame of government competition about unitary government states, this paper builds duopoly decision model to analyze influence of local government decision-making competition on EII. Considering information asymmetry and multiple risk appetite type of decision-maker, this paper analyzes influence of local government decision-making competition on location selection, the optimal investment amount, identification of investment failure and exit mechanism of EII according to different relationship between reference points of local government decision-making competition and EII.

Finding

The optimal investment amount of EII has positive correlation with risk appetite type of decision-maker, local government decision-making competition. Identification of investment failure and exit are divided into three phases. The boundary conditions are directly related to risk appetite type and amount of local government subsidy. Regional factor endowment and degree of preferential policy are main factors attracting enterprise investment. Local governments should analyze the interests of EII. There are three paths to avoid vicious competition among local governments: unified planning, revising of audit index, increasing penalties for failure of policies.

Originality/value

With rapid development of China's new urbanization process, urban economy has become an important carrier of economic development. Attracting foreign direct investment is an important measure to promote urban economic growth, and EII is the most important one. However new urbanization would lead to local government decision-making competition and then influence EII. Through analyzing influence of local government decision-making competition on EII, theory guidance could be provided to decision makers of innovation investment.

Details

Kybernetes, vol. 46 no. 5
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 28 July 2021

Ankita Bhatia, Arti Chandani, Rajiv Divekar, Mita Mehta and Neeraja Vijay

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…

2373

Abstract

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.

Details

International Journal of Innovation Science, vol. 14 no. 3/4
Type: Research Article
ISSN: 1757-2223

Keywords

Article
Publication date: 1 May 2007

Claire Roberts and John Henneberry

Studies of UK and US property investment markets have historically portrayed the decision‐making process as an exercise in rational analysis. This notion is fundamentally flawed…

4333

Abstract

Purpose

Studies of UK and US property investment markets have historically portrayed the decision‐making process as an exercise in rational analysis. This notion is fundamentally flawed as the concept of a perfect market has limited applicability to the real world context in which property investment decisions are taken. Investment decision‐making is neither clinical nor methodical but is undertaken by imperfect players in imperfect markets using imperfect information. The purpose of this paper is to explore the decision making processes of investors.

Design/methodology/approach

A normative‐behavioural framework incorporating heuristics is used, a technique whose application in property research has previously been limited to valuation. The empirical vehicle for the research was an exploration of the spatial dimension of office property investment in different European contexts.

Findings

The findings of in‐depth case studies of investment decision‐making in France, Germany and the UK indicate that the decision‐making process, as perceived by institutional investors, does not deviate significantly from normative models. However, investors tend to “collapse down” the decision‐making process, taking shortcuts to achieve (in some cases, predefined) investment outcomes. These short‐cuts potentially leave the decision‐making process open to the influence of bias, judgement and sentiment.

Originality/value

This study represents the first attempt to explore, empirically and in detail, the property investment decision‐making process.

Details

Journal of Property Investment & Finance, vol. 25 no. 3
Type: Research Article
ISSN: 1463-578X

Keywords

Article
Publication date: 1 April 2014

Wejendra Reddy, David Higgins and Ron Wakefield

In Australia, the A$2.2 trillion managed funds industry including the large pension funds (known locally as superannuation funds) are the dominant institutional property…

1169

Abstract

Purpose

In Australia, the A$2.2 trillion managed funds industry including the large pension funds (known locally as superannuation funds) are the dominant institutional property investors. While statistical information on the level of Australian managed fund investments in property assets is widely available, comprehensive practical evidence on property asset allocation decision-making process is underdeveloped. The purpose of this research is to identify Australian fund manager's property asset allocation strategies and decision-making frameworks at strategic level.

Design/methodology/approach

The research was undertaken in May-August 2011 using an in-depth semi-structured questionnaire administered by mail. The survey was targeted at 130 leading managed funds and asset consultants within Australia.

Findings

The evaluation of the 79 survey respondents indicated that Australian fund manager's property allocation decision-making process is an interactive, sequential and continuous process involving multiple decision-makers (internal and external) complete with feedback loops. It involves a combination of quantitative analysis (mainly mean-variance analysis) and qualitative overlay (mainly judgement, or “gut-feeling”, and experience). In addition, the research provided evidence that the property allocation decision-making process varies depending on the size and type of managed fund.

Practical implications

This research makes important contributions to both practical and academic fields. Information on strategic property allocation models and variables is not widely available, and there is little guiding theory related to the subject. Therefore, the conceptual frameworks developed from the research will help enhance academic theory and understanding in the area of property allocation decision making. Furthermore, the research provides small fund managers and industry practitioners with a platform from which to improve their own property allocation processes.

Originality/value

In contrast to previous property decision-making research in Australia which has mainly focused on strategies at the property fund investment level, this research investigates the institutional property allocation decision-making process from a strategic position involving all major groups in the Australian managed funds industry.

Details

Journal of Property Investment & Finance, vol. 32 no. 3
Type: Research Article
ISSN: 1463-578X

Keywords

Article
Publication date: 9 June 2020

Haritha P.H. and Rashmi Uchil

The purpose of this paper is to determine whether individual investor sentiment and its factors influence investment decision-making behavior in the Indian stock market. The study…

1603

Abstract

Purpose

The purpose of this paper is to determine whether individual investor sentiment and its factors influence investment decision-making behavior in the Indian stock market. The study contributes to the novel conceptual framework that integrates the impact of investor sentiment and outlines the role of its factors (herding, media factor, advocate recommendation and social interaction) during the investment decision-making process.

Design/methodology/approach

In this paper, data were collected using a structured questionnaire survey from Indian individual investors. It uses self-reported sources of information collected via a survey of individual investors and estimated the linkage via path modeling. The collected data were analyzed using partial least square structural equation modeling to examine the relationship between the construct, namely, herding, media, advocate recommendation and social interaction with investor sentiment and investment decision-making.

Findings

The study shows that herding, media factor, advocate recommendation and social interaction significantly and positively influence the investor sentiment. Among all the factors, social interaction has the lowest influence on investor sentiment. The study also reveals that investor sentiment has a positive impact on investment decision-making.

Practical implications

The study provides valuable insights for the individual investors, financial advisors, policymakers and other stakeholders. Knowledge of behavioral finance would enhance the decision-making capabilities of individual investors in the stock market. Thus, the study calls for the need to increase awareness among Indian investors about behavioral finance and its usefulness in investment decision-making. The paper also sheds light upon the influence of investor sentiment and its antecedents on investment decision-making. The study confirms that the investor relies on their sentiment while making investment decisions. Hence, the stakeholders in the stock market should focus on investor sentiment and other psychological aspects of individual investors as well.

Originality/value

There are very few studies that deal with the behavioral aspects of individual investors in an emerging market context. The study mainly focuses on the antecedent of investor sentiment and its influence on investment decision-making in the Indian stock market. To the best of authors’ knowledge, the present study unique nature that examines the impact of the antecedent of investor sentiment which was not explored in the Indian context and investment decision-making of individual investors.

Details

Management Research Review, vol. 43 no. 11
Type: Research Article
ISSN: 2040-8269

Keywords

Article
Publication date: 12 August 2020

Muhammed Bolomope, Abdul-Rasheed Amidu, Olga Filippova and Deborah Levy

Decision-making behaviour of property investors has been the focus of real estate research for decades. Yet, there is no consensus on a generally accepted behavioural model that…

Abstract

Purpose

Decision-making behaviour of property investors has been the focus of real estate research for decades. Yet, there is no consensus on a generally accepted behavioural model that suits all market conditions and investment peculiarities. While scholars have emphasized the significance of rational reasoning and cognitive influences on property investment decision-making preferences, gaps remain regarding the impacts of market disruptions on property investment decision-making behaviour. This paper, therefore, explores the institutional framework as a theoretical basis for understanding property investment decision-making behaviour amidst market disruptions.

Design/methodology/approach

This paper reports a systematic review of pertinent theories that have explored decision-making behaviour. Commencing with an index search of high impact peer-reviewed journals, a snowball identification of relevant citations was also deployed to assemble theories from the field of psychology, sociology, economics and urban studies. Although a preliminary dataset of 82 papers with relevant decision-making theories was identified, the final dataset comprised 27 papers and 7 theories. The identified theories were reviewed accordingly.

Findings

The outcome of this study suggests that the institutional framework offers a robust approach to property investment decision-making amidst market disruptions, especially because it recognizes the dynamism in the investment environment and the roles of formal and informal rules that exist therein.

Originality/value

This study advances the current understanding of property investment decision-making behaviour by recognising the dynamism of the investment environment and how factors such as principles, laws, tradition and routines can lead to an established and legitimate standard of reasoning. By integrating both rational and cognitive attributes, the study provides a holistic perspective to property investors' decision-making behaviour in response to market disruptions.

Details

Property Management, vol. 39 no. 1
Type: Research Article
ISSN: 0263-7472

Keywords

Article
Publication date: 29 May 2018

Natalia Saukkonen, Teemu Laine and Petri Suomala

To be utilized effectively in decision-making processes, management accounting (MA) information should fit the business context and at the same time reflect the roles…

2518

Abstract

Purpose

To be utilized effectively in decision-making processes, management accounting (MA) information should fit the business context and at the same time reflect the roles, responsibilities and values of the actors taking part in the decision-making. This study aims to investigate the limitations for MA information utilization in decision-making. In particular, this study explores limitations stemming from the decision-making process structure and the involvement of several managerial actors.

Design/methodology/approach

An exploratory case study of an energy company and its customer company illustrates the current challenges in providing and integrating MA information into decision-making. The analysis is focused on the analytical and actor-based features of the decision-making and thus the limitations for MA information utilization. As a part of the broader research process, the researchers facilitated a meeting in the customer company, where the actors relevant to investment decisions discussed the current limitations in utilizing MA information.

Findings

Analytical and actor-based features may take different forms in the decision-making. Some relevant MA information may not be included in an organization’s decision-making process structure that allows merely conventional, yet analytical, decision alternatives. At the same time, certain actors’ viewpoints (such as sustainability metrics) can be excluded from the process without considering the logic behind the exclusion. This case study identifies the following limitations, largely related to insufficient actor-based features in the decision-making: managers may lack expertise in the use of MA tools, managerial interaction may lack reflection on taken-for-granted assumptions, different managers may appreciate different scope, content and timing of MA information and the process structure can ignore the required managerial viewpoints.

Research limitations/implications

This study demonstrates that both the decision-making process structure and the needs of the several actors involved may lead to limitations for MA information utilization. Although many limitations stemmed from the insufficient actor-based orientation in the case study, introducing new MA analyses and extending the validity of analytical approaches may also help overcome some of the limitations. Further research should address possibilities to integrate different actors’ viewpoints with MA information already in the decision-making process structure, find ways to introduce MA information on unconventional decision alternatives and enable reflection among and about relevant actors with respect to decision-making. These means could lead to more effective utilization of MA information for decision-making and, consequently, economically viable decisions.

Originality/value

This study addresses the limitations in MA information utilization by combining the viewpoints of analytical decision-making processes and reflective actors, and thus unveils possibilities for enhancing MA practice.

Details

Qualitative Research in Accounting & Management, vol. 15 no. 2
Type: Research Article
ISSN: 1176-6093

Keywords

Article
Publication date: 28 June 2022

Maqsood Ahmad

This article aims to systematically review the literature published in recognized journals focused on cognitive heuristic-driven biases and their effect on investment management…

2044

Abstract

Purpose

This article aims to systematically review the literature published in recognized journals focused on cognitive heuristic-driven biases and their effect on investment management activities and market efficiency. It also includes some of the research work on the origins and foundations of behavioral finance, and how this has grown substantially to become an established and particular subject of study in its own right. The study also aims to provide future direction to the researchers working in this field.

Design/methodology/approach

For doing research synthesis, a systematic literature review (SLR) approach was applied considering research studies published within the time period, i.e. 1970–2021. This study attempted to accomplish a critical review of 176 studies out of 256 studies identified, which were published in reputable journals to synthesize the existing literature in the behavioral finance domain-related explicitly to cognitive heuristic-driven biases and their effect on investment management activities and market efficiency as well as on the origins and foundations of behavioral finance.

Findings

This review reveals that investors often use cognitive heuristics to reduce the risk of losses in uncertain situations, but that leads to errors in judgment; as a result, investors make irrational decisions, which may cause the market to overreact or underreact – in both situations, the market becomes inefficient. Overall, the literature demonstrates that there is currently no consensus on the usefulness of cognitive heuristics in the context of investment management activities and market efficiency. Therefore, a lack of consensus about this topic suggests that further studies may bring relevant contributions to the literature. Based on the gaps analysis, three major categories of gaps, namely theoretical and methodological gaps, and contextual gaps, are found, where research is needed.

Practical implications

The skillful understanding and knowledge of the cognitive heuristic-driven biases will help the investors, financial institutions and policymakers to overcome the adverse effect of these behavioral biases in the stock market. This article provides a detailed explanation of cognitive heuristic-driven biases and their influence on investment management activities and market efficiency, which could be very useful for finance practitioners, such as an 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 their financial management strategies.

Originality/value

Currently, no recent study exists, which reviews and evaluates the empirical research on cognitive heuristic-driven biases displayed by investors. The current study is original in discussing the role of cognitive heuristic-driven biases in investment management activities and market efficiency as well as the history and foundations of behavioral finance by means of research synthesis. This paper is useful to researchers, academicians, policymakers and those working in the area of behavioral finance in understanding the role that cognitive heuristic plays in investment management activities and market efficiency.

Details

International Journal of Emerging Markets, vol. 19 no. 2
Type: Research Article
ISSN: 1746-8809

Keywords

Article
Publication date: 31 May 2022

Maqsood Ahmad, Qiang Wu and Yasar Abbass

This study aims to explore and clarify the mechanism by which recognition-based heuristic biases influence the investment decision-making and performance of individual investors…

Abstract

Purpose

This study aims to explore and clarify the mechanism by which recognition-based heuristic biases influence the investment decision-making and performance of individual investors, with the mediating role of fundamental and technical anomalies.

Design/methodology/approach

The deductive approach was used, as the research is based on behavioral finance's theoretical framework. A questionnaire and cross-sectional design were employed for data collection from the sample of 323 individual investors trading on the Pakistan Stock Exchange (PSX). Hypotheses were tested through the structural equation modeling (SEM) technique.

Findings

The article provides further insights into the relationship between recognition-based heuristic-driven biases and investment management activities. The results suggest that recognition-based heuristic-driven biases have a markedly positive influence on investment decision-making and negatively influence the investment performance of individual investors. The results also suggest that fundamental and technical anomalies mediate the relationships between the recognition-based heuristic-driven biases on the one hand and investment management activities on the other.

Practical implications

The results of the study suggested that investment management activities that rely on recognition-based heuristics would not result in better returns to investors. The article encourages investors to base decisions on investors' financial capability and experience levels and to avoid relying on recognition-based heuristics when making decisions related to investment management activities. The results provides awareness and understanding of recognition-based heuristic-driven biases in investment management activities, which could be very useful for decision-makers and professionals in financial institutions, such as portfolio managers and traders in commercial banks, investment banks and mutual funds. This paper helps investors to select better investment tools and avoid repeating the expensive errors that occur due to recognition-based heuristic-driven biases.

Originality/value

The current study is the first to focus on links recognition-based heuristic-driven biases, fundamental and technical anomalies, investment decision-making and performance of individual investors. This article enhanced the understanding of the role that recognition-based heuristic-driven biases plays in investment management. More importantly, the study went some way toward enhancing understanding of behavioral aspects and the aspects' influence on investment decision-making and performance in an emerging market.

1 – 10 of over 72000