The effect of investor sentiment and the structure of shareholder ownership on corporate investment

Purpose This paper aims to investigate the relations amongst investor sentiment, the structure of shareholder ownership and corporate investment.Design/methodology/approach This paper develops a theoretical model, proposes hypotheses based on the predictions of the model and conducts empirical tests. The primary method is panel regression with fixed effects. The sample covers the US data for the period between 1980 and 2018.Findings This paper finds that firms with a higher proportion of retail investors invest more than otherwise similar firms. In the low-sentiment periods, the financially constrained firms invest less than the non-financially constraint firms. The positive effect of residual retail ownership on the investment level is higher for firms with a higher idiosyncratic risk.Practical implications The results suggest that larger share ownership of the relatively informed institutional investors may serve as a mechanism that could reduce the degree of overinvestment caused by higher investor sentiment and the over-optimistic of the relatively uninformed investors.Originality/value This paper provides an incremental theoretical and empirical contribution to the relations amongst investor sentiment, corporate investment and the structure of shareholder ownership.

Does it pay to be a faithful investor? A risk-based approach performance analysis of Islamic funds vs UCITS schemes

PurposeThis paper empirically investigates the performance of Islamic funds, which have been praised for weathering the 2008 financial storm relatively well and compares it to a European product designed to protect the most vulnerable of investors, UCITS funds.Design/methodology/approachThis paper builds on 128 time-series regressions using various factor models to analyse the risk-return relationship of 242 Islamic and UCITS funds relative to a market benchmark, over a 10-year period starting January 2006, to capture severe bear and bull market conditions.FindingsIslamic funds do not face a competitive disadvantage arising from their strict compliance with Shariah principles, and their performance and investment style is relatively similar to UCITS schemes.Practical implicationsIslamic funds represent a low risk investment due to their very mild betas. Therefore, when forming part of a diversified portfolio, they can act as a hedging tool against adverse market movements.Social implicationsMuslim investors are not punished relative to conventional retail investors when following their own beliefs. Other investors can consider Islamic funds in their portfolio allocation, especially those who seek socially and ethically responsible investments.Originality/valueThis paper fills a lacuna in the existing literature, because the sample is made up of Islamic funds established worldwide and includes not only equity, but also fixed income and mixed allocation funds.

Investor Characteristics and their Impact on the Decision to use a Robo-advisor

We survey 231 undergraduate students to analyze how retail investors’ characteristics influence their decision to use a robo-advisor. Characteristics such as the willingness to take risk, extraversion, and optimism are significant in univariate tests but the willingness to take risk and the internal locus of control are significant in multivariate settings. Participants who use the robo-advisor invest more and are more likely to also invest on their own in both stocks and bonds. We also find statistically significant differences between participants who exclusively use the robo-advisor for investments in stocks and bonds and participants who use the robo-advisor and invest some money in stocks and bonds on their own.

Analysis of Pre-existing Investment Behavior and Influence of Trading Apps

The last few years have seen a rise in trading apps, and Robinhood is one trading app that has attracted millennials. This paper explores trading apps such as Robinhood and their role in providing financial inclusion and safe trading opportunities. This paper discusses investment behavior in the status quo, explaining overconfidence, sociability, and the disposition effect. Investment behavior can include the behavioral biases and common notions investors utilize for trading. Furthermore, this paper assesses the design and business model of Robinhood. Five expert investors were interviewed (such as a professor and other MBA graduates from Wharton School of Business, financial experts from private equity firms in the US and Mexico, and a JP Morgan investment banking professional), and five casual investors were interviewed to understand their opinions on investment behavior, certain trading apps, common criticisms of stock trading, and solutions to these concerns. The findings led to the conclusion that investment behavior is harmful in the status quo. Results did indicate that Robinhood does promote at least some dangerous behavior through excessive active trading and is one example of a problematic trading app through the 4th Industrial Revolution, but trading apps can only amplify behavioral biases most retail investors already display.

Who Pays Attention to SEC Form 8-K?

The SEC requires public companies to disclose material information on Form 8-K within four days of a triggering event. We show that, on 8-K event and filing dates, there is significant abnormal attention on Bloomberg terminals, which are a source of information for institutional investors, while traditional media attention tends to be higher on filing days. Significant price discovery occurs on the event date and on the days between that day and the filing date. The traditional media coverage on the filing day appears to attract the attention of retail investors and leads to further price changes in the direction of the pre-filing day price change. Institutional investors exploit this price pressure via opportunistic liquidity provision. Overall, our evidence suggests that the Form 8-K filing may have little direct informational benefit, particularly to retail investors.

Performance profiling of the unit trust funds in Malaysia with data mining techniques

Background: Millennials are exposed to many investment opportunities, and they have shown their interest in gaining more income via investments. One popular investment avenue is unit trusts. However, analysing unit trusts’ financial data and gaining valuable insights may not be as simple because not everyone has the required financial knowledge and adequate time to perform in-depth analytics on the numerous financial data. Furthermore, it is not easy to compile the performance of each unit trust available in Malaysia. The primary objective of this research is to identify unit trust funds that provide higher returns than their average peers via performance profiling. Methods: This research proposed a performance profiling on Malaysia unit trust funds using the two data mining techniques, i.e., Expectation Maximisation (EM) and Apriori, to assist amateur retail investors to choose the right unit trust based on their risk tolerance. EM clustered the unit trust funds in Malaysia into several groups based on their annual financial performances. This was then followed by finding the rules associated with each cluster by applying Apriori. The resulted rules shall serve the purpose of profiling the clustered unit trust funds. Retail investors can then select their preferred unit trust funds based on the performance profile of the clusters. Results: The yearly average total return of the financial year 2018 and 2019 was used to evaluate unit trust funds’ performance in the clusters. The evaluation results indicated that the profiling could provide valuable and insightful information to retail investors with varying risk appetites. Conclusions: This research has demonstrated that the financial performance profiling of unit trust funds could be acquired via data mining approaches. This valuable information is crucial to unit trust investors for selecting suitable funds in investment.