InvestorLit Research: Behavioral Finance and Investment Management

2012 ◽  
Author(s):  
Brandes Institute
Keyword(s):  
Behavioral Finance ◽  
Investment Management

Behavior of fund managers in Malaysian investment management industry

2017 ◽  
Vol 9 (3) ◽  
pp. 205-239 ◽  
Author(s):  
Zamri Ahmad ◽  
Haslindar Ibrahim ◽  
Jasman Tuyon
Keyword(s):  
Bounded Rationality ◽  
Behavioral Finance ◽  
Asset Management ◽  
Institutional Investors ◽  
Institutional Investor ◽  
Current Paper ◽  
Investor Behavior ◽  
Investment Management ◽  
Content Type ◽  
Fund Managers

PurposeThis 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. Design/methodology/approachA 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. FindingsThe 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. Research limitations/implicationsEmpirical 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. Originality/valueThe 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.

DECISION-MAKING ON INVESTMENT OF IT-INNOVATION BASED ON FUZZY EXPERT INFORMATION

2018 ◽  
pp. 103-111
Author(s):  
Olga Olegovna Eremenko ◽  
Lyubov Borisovna Aminul ◽  
Elena Vitalievna Chertina
Keyword(s):  
Decision Making ◽  
Individual Characteristics ◽  
Production Model ◽  
Investment Management ◽  
It Projects ◽  
Product Model ◽  
Project Cost ◽  
Reasoning System ◽  
Managerial Decisions ◽  
The Individual

The subject of the research is the process of making managerial decisions for innovative IT projects investing. The paper focuses on the new approach to decision making on investing innovative IT projects using expert survey in a fuzzy reasoning system. As input information, expert estimates of projects have been aggregated into six indicators having a linguistic description of the individual characteristics of the project type "high", "medium", and "low". The task of decision making investing has been formalized and the term-set of the output variable Des has been defined: to invest 50-75% of the project cost; to invest 20-50% of the project cost; to invest 10-20% of the project cost; to send the project for revision; to turn down investing project. The fuzzy product model of making investment management decisions has been developed; it adequately describes the process of investment management. The expediency of using constructed production model on a practical example is shown.

The Once and Future Investment Management Industry

CFA Magazine ◽  
2011 ◽  
Vol 22 (1) ◽  
pp. 48-51
Author(s):  
Rhea Wessel
Keyword(s):  
Investment Management
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