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This paper aims to explore the relevance of bounded rationality to the practice of institutional investors in Malaysia. Understanding institutional investor behavior is important, as it can determine the asset prices and consequently the market behavior.

A set of questionnaires is used to solicit information regarding the understanding and practical application of behavioral finance theories and strategies among fund managers in the Malaysian investment management practice. In the process, bounded rational theory is aimed to be validated. Fund managers’ possible bounded rational behavior is assessed with reference to their investment management approaches and strategies right from individual beliefs and acquisition of information, as well as investment management and strategies used.

The findings lend support to the notion that institutional investors too, being normal human beings, are expected to think and behave in a boundedly rational manner as postulated in bounded rational theory. The sources of bounded rationality are individual, institutional and social forces. Thus, portfolio trading and investment management strategies are exposed to wide varieties of behavioral risks. Despite the notions that behavioral risks are real and the impact on fund performance could be pervasive, fund managers’ self-awareness regarding control and institutional readiness to govern behavioral risks in investment practices is still low.

Empirical evidence drawn in the current paper is subjected to small sample size and specific focus on Malaysian context. Despite this limitation, the sample is statistically sufficient and provides a fair representation, as well as quality opinions, of fund manager’s investment management behavior in Malaysia. This research provides valuable implications to practitioners (fund managers) and regulators (investment management and capital market policymakers). In practice, the current study draws some practical ideas, especially for buy-side institutional investors, on the source and impact of behavioral biases on fund management practices and performance. For regulators, this research highlighted the needs and possible ways to regulate these behavioral risks.

The current paper provides new insights on the theory and practice of the institutional investor. In theory, this research provides evidence of bounded rationality of institutional investor behavior, practicing in the asset management industry in the emerging markets of Malaysia. This evidence lends support to the validity of the bounded rationality theory in explaining institutional investor behavior. In practice, thisresearch provides new insights on the relevance of behavioral finance perspectives and strategies in the asset management industry practice and policy.

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.

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.

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.

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.

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.

This paper aims to review the theory and empirical evidence of institutional investor behavioral biases in the lenses of behavioral finance paradigm. It surveys the research specifically focusing on behavioral biases among institutional investors in investment management activities worldwide.

A literature survey is done to gather and synthesize evidence on behavioral biases of institutional investors.

The survey and analysis reveal the following findings. First, the theoretical underpinning of investors’ irrational behavior has been neglected in behavioral finance research. Second, the behavioral heuristics and biases are dynamic and complex. Third, understanding behavioral biases’ origin, causes and effects requires interdisciplinary perspectives from the fields of psychology, sociology and biology.

The analysis and alternative perspectives drawn in this paper provide new insights into the field of behavioral finance and aims to suggest researchers, practitioners and regulators on the next course of actions.

In recent years, investment management education has become increasingly relevant. As a result of this development, it is essential that various role players should be consulted to ensure that investment management is taught in line with practitioners’ requirements. The South African Qualifications Authority also specifies that educators and practitioners should collaborate to maintain relevance in all fields of education. The importance of various areas in investment management was investigated. This article compares the ranking of these areas in terms of their importance as perceived by academics and practitioners. The study being reported also aimed to determine whether gaps exist between the areas that academics regard to be important and the areas that practitioners regard as such. Areas that are generally regarded to be most important include asset allocation, fundamental analysis and the measurement of risk and return. Areas that are regarded to be least important include arts, antiques and other hard assets; rights and capitalisation issues; and real estate. Areas in need of research include the measurement of risk and return; asset allocation; derivatives; and global markets and instruments. The findings of this study could have a significant impact on the provision of relevant training for South African investment specialists.

Examines the marketing of investment banking services and reviews critically the theoretical frameworks provided by the literature in the marketing of services field. Based on research interviews with 12 London‐based investment banks, discusses current marketing practices and identifies the critical marketing management issues facing the industry. Suggests a theory of marketing of investment banking services to guide the analysis of marketing practice.

The purpose of this paper is to contribute to the literature in three ways: first, the authors investigate the impact of the sampling errors on optimal portfolio weights and on financial investment decision. Second, the authors advance a comparative analysis between various domestic and international diversification strategies to define a stochastic optimal choice. Third, the authors propose a new methodology combining the re-sampling method, stochastic optimization algorithm, and nonparametric stochastic dominance (SD) approach to analyze a stochastic optimal portfolio choice for risk-averse American investors who care about benefits of domestic diversification relative to international diversification. The authors propose a new portfolio optimization model involving SD constraints on the portfolio return rate. The authors define a portfolio with return dominating the benchmark portfolio return in the second-order stochastic dominance (SSD) and having maximum expected return. The authors combine re-sampling procedure and stochastic optimization to establish more flexibility in the investment decision rule.

The authors apply the re-sampling procedure to consider the sampling error in the optimization process. The authors try to resolve the problem of the stochastic optimal investment strategy choice using the nonparametric SD test by Linton et al. (2005) based on sub-sampling simulated p values. The authors apply the stochastic portfolio optimization algorithm with SSD constraints to define optimal diversified portfolios beating benchmark indices.

First, the authors find that reducing sampling error increases the dominance relationships between different portfolios, which, in turn, alters portfolio investment decisions. Though international diversification is preferred in some cases, the study’s results show that for risk-averse US investors, in general, there is no difference between the diversification strategies; this implies that there is no increase in the expected utility of international diversification for the period before and after the 2007-2008 financial crisis. Nevertheless, the authors find that stochastic diversification in domestic, global, and Europe, Australasia, and Far East markets delivers better risk returns for the US risk averters during the crisis period.

The originality of the idea in this paper is to introduce a new methodology combining the concept of portfolio re-sampling, stochastic portfolio optimization with SSD constraints, and the nonparametric SD test by Linton et al. (2005) based on subsampling simulated p values to analyze the impact of sampling errors on optimal portfolio returns and to investigate the problem of stochastic optimal choice between international and domestic diversification strategies. The authors try to prove more coherence in the portfolio choice with the stochastically and the uncertainty characters of the paper.

Implications of Modern Portfolio Theory for Investment Management. The general principles of portfolio management are explained by Dobbins and Witt, Sprecher, Francis, Van Home and Fama and Miller. Portfolio theory is concerned with the choice of efficient combinations of assets and its foundation lies in the work of Markowitz. It is assumed that investors base their decisions simply on the expected return and variance of return of assets, where the variance is taken to measure risk. For any given level of risk, the optimal portfolio is that which offers the maximum expected return; and for any given expected return, the investor prefers minimum risk. The set of efficient portfolios therefore comprises those combinations of assets which promise the highest expected return corresponding to each level of risk.

With the globalisation of supply chains the importance of supply chain risk management (SCRM) has grown considerably. Still, although both researchers and practitioners fully agree on its importance, most companies pay very limited attention to SCRM. The purpose of this paper is to use expectation confirmation theory to investigate the reasons for that.

The authors use a combination of six mini case studies and a survey of 89 companies to show how a different attitude towards SCRM can lead to greater value from SCRM efforts.

In line with the expectation confirmation theory the authors stipulate that the primary reason is in companies’ attitudes towards SCRM. Their main expectation is risk avoidance and not value generation. In such a case, even “successful” SCRM programmes merely confirm such an expectation (e.g. no risk materialised or with a limited impact) and the company continues to avoid risk while limiting the resources for SCRM. It is only when the expected benefit of SCRM is not solely risk avoidance but mainly value generation that increased attention can be expected over time.

The paper is exploratory in nature. Some of the stipulations in the theoretical part were not fully investigated in the quantitative part. The survey had a relatively small sample and a low-response rate. The constructs used in the survey did not use previously validated questionnaires.

Companies should focus on changing expectations of their managers and employees regarding SCRM and emphasise the value potentially generated by SCRM.

Use of expectation confirmation theory to investigate the reasons for limited attention to SCRM, to improve the understanding of attitude towards SCRM and to open many important areas for further research.

The purpose of this study is to explain the relationship between behavioural biases, investment satisfaction and reinvestment intention considering the effect of evolutionary psychology. The study believes that biases are not at all times bad; sometimes, biases can assist the individual investor to select the top course of action and allow them to go for the less costly mistakes, thereby helping in achieving satisficing behaviour.

Data were collected using structured and a close-ended questionnaire from a sample of 560 respondents by using multi-stage stratified sampling method. PLS-SEM was used for preliminary validation of the questionnaire. Mediation model using the structural equation model (SEM) with the help of AMOS 20 was used for the analyses. Pre-requisite assumptions for SEM were checked by using sample characteristics. The study has three constructs with multiple items; hence, the instrument validation was done by measuring the construct validity and reliability using Cronbach’s alpha, exploratory factor analysis and confirmatory factor analysis with the help of SPSS 20 and AMOS 20.

The study confirms that behavioural biases influence investment decisions in the real estate market. Further, investment satisfaction is found to have a significant and complementary partial mediating effect. The positive mediating effect of investment satisfaction between behavioural biases and reinvestment intention shows that biases are natural tendencies in response to limit to learning which can be explained by evolutionary psychology.

There are chances that the result obtained here is because of myopic decision-making behaviour in which the long-time horizon is not considered and behavioural biases, as well as evolutionary psychology, are adaptive, so the result may change in the long-time horizon, which seeks further investigations. The study talked about the relationship between behavioural biases, investment satisfaction and reinvestment intention; it will be interesting to bring some more constructs in this model, for example, investment intention and reinvestment behaviour; this can deliver a more precise picture in this regard.

Understanding such relationships will help in better clarity about the way investment is made. The study confirms that market behaviour in the real estate market is sub-optimal, which shows that there is an opportunity for attentive investors by trading and gathering on information. Real estate practitioners can get clues from market anomalies and investor phenomena; understanding these may suggest ways to use them in the market.

Reforms in the housing sector do not only satisfy one of the basic needs but also leads to holistic economic development. Besides direct contribution, it contributes to social capital.

The study extends the current knowledge base about the relationship between behavioural biases, investment satisfaction and reinvestment intention. This study investigates the behavioural biases influencing the real estate market investment decisions of non-professional investors considering the effect of evolutionary psychology.