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A unit trust is a vehicle by which a large number of investors can pool their varying amounts of money into one trust fund. In return they are issued with “units” in proportion to the fraction of the fund that they own. The fund is then invested, by the managers, on the Stock Exchange. Investors buy units from the managers at what is known as the offer price and can sell them back to the managers at what is known as the bid price. These purchases and sales can be made through direct contact with the managers or via an agent such as a bank, stockbroker, accountant or solicitor.

The purpose of this paper is to study the individual investors’ preferences towards stock selection in social media environments. The study is conducted to understand the implications and conceptual directions for the corporates and financial advisors to understand the choices of individual investors applied in financial markets. Further, this study aims to examine the selection of the most preferred social media platform and behavioral intentions of investors towards selection of investment portfolios in Indian stock markets.

A questionnaire was designed based on the technique of conjoint analysis and was responded by 428 respondents belonging to the Northern region of India. The estimation of preference functions in Conjoint Analysis was designed by using orthogonal arrays and was calculated using the ordinary least square regression technique.

This study reveals that while making selection of desired investment portfolios, the investors give highest preference to social media platforms in terms of highest utility value and range followed by their preference for behavioral intentions to invest. Among different social media platforms, the investors preferred Twitter the most, followed by Facebook and the primary interest of investors was observed towards Intra-day trading purposes and balanced portfolio investments in financial markets. The major reason behind opting the social media platforms was selection of speculative stocks.

The actual individual investment behavior cannot be observed through the survey, which limits the external validity of the study.

The paper presents a very important practical tool that can help financial advisors, opinion leaders and corporates in defining their target audience more sharply for investment-related advice. The findings revealed by the study will put them in a better position to understand how investors differ behaviorally and they will get acquainted with their choices and preferences while making investment decisions in the backdrop of social media environments. The preferences of the investors based on social media usage discovered by the study will not only enable the individual investors understand their own preferences, but those of the other investors as well in terms of planned investment decisions and choices.

The paper is a first of its kind to empirically identify the individual investors and their preferences and choices by applying conjoint analysis in the new social media environment. The study thus integrates the gap between marketing theories and emerging theories of behavioral finance to understand the investor behavior in a better way.

Although markets are intensely social, stock markets are peculiar in that they are normatively anonymous spaces. Anonymity is a difficult-to-achieve social accomplishment in which material identity information is successfully stripped from participants. The academic literature is conflicted regarding the degree to which equity markets are anonymous and how this influences traders’ behavior.

Based on focused, tape-recorded ethnographic interviews, this chapter investigates the work practices of professional investors and brokers to describe the conditions under which brokers veil or reveal investors’ identities to their competitors, and thereby shed light on how anonymity is socially produced (or eroded) in global stock markets.

The social structure of brokered financial markets places brokers in the awkward situation of sitting in an information-poor structural location for so-called “fundamental information” while being paid to share information with professional investors who sit in an information-rich structural location. A resolution to this material and social dilemma is that brokers can erode the market’s anonymity by gifting identity information (“order flow”) – the previous, prospective, or pending trades of their clients’ competitors – thereby providing traders a competitive advantage. They share identity information in three types of performances: transparent relationships, masked relationships, and the transformation of illicit material identity information into licit and sharable “fundamental” information. Each performance partly erodes transaction-level and market-level anonymity while simultaneously partially supporting anonymity.

Laws and regulations requiring brokers’ confidentiality of their clients’ trades are easily and systematically eluded. Policy makers and regulators may opt to respond by increasing surveillance and mechanization of brokers’ work so as to promote a normatively anonymous market. Alternatively, they may opt to question the value of promoting and policing anonymity in financial markets by revising insider trading regulations.

Even well-regulated markets are semi-anonymous spaces due to the systematic exposure of investors’ identities to competitors by their shared brokers on a daily basis. This finding provides an additional explanation for how professional investors can imitate one another (“herd”) as well as why subpopulations of investors often trade so similarly to one another.

There is a clear tendency towards more business‐like approaches in the housing sectors in many European countries. The paper attempts to identify these approaches and related techniques with Dutch institutional real estate investors.

It has been investigated how real estate investors in The Netherlands decide about the physical and technical development and the tenure of their housing stock. In‐depth interviews have been held with several large real estate investors, which cover the majority of all dwellings in the sector.

Results show that investment allocations are only partly rationalised and are not in the least based on intuition. In addition, some elements of strategic asset management prove to be less common than we had expected from the commercial nature of these elements.

The research concentrates on the development of the total portfolio. In future research, individual estates can be selected for case studies, in order to assess to what extent the policies on portfolio level are carried out in practice.

The paper presents recent evidence on the state of professionalisation in the commercial housing sector.

Increasing focus on socially responsible investments (SRIs) and green projects in recent times, coupled with the arrival of COVID pandemic, are the main drivers of this study. The authors conduct a post-factum analysis of investor choice between sin and green investments before and through the COVID outbreak.

A passive investor is introduced who seeks maximum risk-adjusted return and/or investment variance. When presented an opportunity to add sin and/or green investments to her initial one-asset market-only investment position, she views and handles this issue as a portfolio problem (MPT). She estimates value-at-risk (VaR) and conditional-value-at-risk (CVaR) for portfolios to account for downside risk.

Green investments offer better overall risk-return optimization in spite of major inter-period differences in return-risk dynamics and substantial downside risk. Portfolios optimized for minimum variance perform just as well as the ones optimized for minimum downside risk. Return and risk have settled at higher levels since the onset of COVID, resulting in shifting the efficient frontier towards north-east in the return-risk space.

The study contributes to the literature in two ways: One, it examines investor choice between sin and green investments during a global health emergency and views this choice against the one made during normal times. Two, instead of using the principles of modern portfolio theory (MPT) explicitly for diversification, the study uses them to identify investor preference for one over the other investment type. This has not been widely done thus far.

To discuss issues that real estate fund sponsors may encounter due to investor liquidity constraints amidst the COVID-19 pandemic (such as investors seeking redemptions or transfers) and to provide guidance on potential ways that fund sponsors can prepare for, and respond to, such inquiries while at the same time addressing their fund’s liquidity needs (such as by utilizing subscription-secured credit facilities).

The article identifies the types of requests that investors may make to address their internal liquidity constraints, discusses contractual, legal, regulatory and business issues that fund sponsors should consider in responding to such requests and provides some alternatives for fund sponsors to consider allowing them to be responsive to investor liquidity concerns while also addressing fund capital needs.

The article finds that there are specific actions which fund sponsors should take in anticipating, and responding to, investor liquidity requests, such as reviewing partnership documents and credit facility documents and considering consequences in respect of ERISA, tax and compliance with applicable securities laws. The article also finds that specific affirmative actions by fund sponsors, such as increased borrowings under credit facilities, making distributions that are recallable and favoring transfers over withdrawals or redemptions may assist fund sponsors in preserving capital while addressing investor liquidity requests.

Fund sponsors should carefully review their fund documentation and determine their options and requirements as they pertain to potential liquidity requests. Fund sponsors should be careful to avoid foot-faults under their fund documents and credit facility agreements.

Practical guidance from experienced fund formation, securities law, tax, ERISA and finance lawyers.

Explains the US Department of Labor’s newly proposed “Conflicts of Interest” rule and provides a critical analysis of its impact should it be adopted as proposed.

Explains the DOL’s proposed Conflict of Interest rule and discusses how it changes the current fiduciary standards of care under ERISA. The article then probes more deeply into the practical matters involved in implementing the rule, and into the realities of how it would impact fiduciary standards generally, investors, the financial services industry and securities arbitrations. Reactions to the proposed rule are then explained against the backdrop of the practical implications thereof.

This article concludes that the DOL’s proposed Conflict of Interest rule, albeit well-intended, is not reasonably designed to achieve its stated goal and would instead likely harm those whom it purports to help. Ironically, it also potentially waters down the existing high standards of current fiduciaries. The article supports the DOL’s goal of greater responsibility for financial service professionals and proffers an alternative solution that could achieve the desired result more effectively.

This article offers valuable insight on the realities of the proposed law and practical guidance on its implications to the investing public, the financial services industry and securities attorneys.

Past work has shown that failure tolerance by principals has the potential to stimulate innovation, but has not examined how this affects which projects principals will start. We demonstrate that failure tolerance has an equilibrium price – in terms of an investor’s required share of equity – that increases in the level of radical innovation. Financiers with investment strategies that tolerate early failure will endogenously choose to fund less radical innovations, while the most radical innovations (for whom the price of failure tolerance is too high) can only be started by investors who are not failure tolerant. Since policies to stimulate innovation must often be set before specific investments in innovative projects are made, this creates a trade-off between a policy that encourages experimentation ex post and the one that funds experimental projects ex ante. In equilibrium, it is possible that all competing financiers choose to offer failure tolerant contracts to attract entrepreneurs, leaving no capital to fund the most radical, experimental projects in the economy. The impact of different innovation policies can help to explain who finances radical innovations, and when and where radical innovation occurs.

In the build-up of an investment decision, the existence of both active and passive investment vehicles triggers a puzzle for investors. Indeed the confrontation between active and index replication equity funds in terms of risk-adjusted performance and alpha generation has been a bone of contention since the inception of these investment structures. Accordingly, the objective of this chapter is to distinctly underscore whether an investor should be concerned in choosing between active and diverse passive investment structures.

The survivorship bias-free dataset consists of 776 equity funds which are domiciled either in America or Europe, and are likewise exposed to the equity markets of the same regions. In addition to geographical segmentation, equity funds are also categorised by structure and management type, specifically actively managed mutual funds, index mutual funds and passive exchange traded funds (‘ETFs’). This classification leads to the analysis of monthly net asset values (‘NAV’) of 12 distinct equally weighted portfolios, with a time horizon ranging from January 2004 to December 2014. Accordingly, the risk-adjusted performance of the equally weighted equity funds’ portfolios is examined by the application of mainstream single-factor and multi-factor asset pricing models namely Capital Asset Pricing Model (Fama, 1968; Fama & Macbeth, 1973; Lintner, 1965; Mossin, 1966; Sharpe, 1964; Treynor, 1961), Fama French Three-Factor (1993) and Carhart Four-Factor (1997).

Solely examination of monthly NAVs for a 10-year horizon suggests that active management is equivalent to index replication in terms of risk-adjusted returns. This prompts investors to be neutral gross of fees, yet when considering all transaction costs it is a distinct story. The relatively heftier fees charged by active management, predominantly initial fees, appear to revoke any outperformance in excess of the market portfolio, ensuing in a Fool’s Errand Hypothesis. Moreover, both active and index mutual funds’ performance may indeed be lower if financial advisors or distributors of equity funds charge additional fees over and above the fund houses’ expense ratios, putting the latter investment vehicles at a significant handicap vis-à-vis passive low-cost ETFs. This chapter urges investors to concentrate on expense ratios and other transaction costs rather than solely past returns, by accessing the cheapest available vehicle for each investment objective. Put simply, the general investor should retreat from portfolio management and instead access the market portfolio using low-cost index replication structures via an execution-only approach.

The battle among actively managed and index replication equity funds in terms of risk-adjusted performance and alpha generation has been a grey area since the inception of mutual funds. The interest in the subject constantly lightens up as fresh instruments infiltrate financial markets. Indeed the mutual fund puzzle (Gruber, 1996) together with the enhanced growth of ETFs has again rejuvenated the active versus passive debate, making it worth a detailed analysis especially for the benefit of investors who confront a dilemma in choosing between the two management styles.

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.

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.

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.

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.

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.