Stock Investment Decision: The Effects of Personal Factors and Moderating Role of Years of Service

This paper aims to elaborate stock investment decision and to examine the impact of five influential factors as independent variables and the influence of years of investment as mediating variable. This paper is based on empirical study which involved 286 individual investors in Indonesia Stock Exchange using data from Riri et.al (2020). Structural equation modelling approach was used for estimating relationship between influential factors (e.g., personal financial needs, overconfidence, advocate recommendation, social relevance, and self or firm image) on stock investment decisions. The result found that decision on stock investment is determined by social relevance, overconfidence, personal financial need, and advocate recommendation significantly and positively. Years of Investment has played moderating role on relationship between for advocate recommendation and personal with stock investment decisions. Years of Investment is moderating variable to become a novelty this paper.

Design of Portfolio using Multivariate Analysis

Stock markets are considered a barometer of the respective country’s economy around the world. Modern portfolio theory advocates diversification for risk management, which helps maintain returns as long as indices around the world are not perfectly correlated. The relationship exists across markets; as a result, co-movement has drawn the attention of individual investors and portfolio managers for the construction of their portfolios to maximize returns for a given level of risk. The study of co-movements provides inputs for portfolio construction and facilitates the identification of markets where indices may move in the same direction or the opposite direction and the country’s stock markets that are not correlated. A review of the literature revealed that statistical tools like Correlation, Factor analysis, and Granger causality test, etc., are some of the tools that can be used to understand co-movements of markets. Alan harper et al. (2012) study used principle component analysis and inferred that Indian stock returns are aligned with its trading partners and concluded that maximizing the investors’ returns by reducing the risk. Tak Kee Hui concluded that factor analysis provides inputs for selecting foreign markets for risk diversification. This study examines the potential for diversification using 22 world stock market indices using multivariate analysis.

Behavioral Factors Influencing Stock Investment Decision of Individuals

Purpose: The purpose of this study is to identify the behavioral factors influencing individual investors’ decisions and to analyze the relationship between these factors and investment decision performance. Design/Methodology/Approach: The tested variables were: Anchoring bias, Gambler’s Fallacy, Overconfidence bias, Availability and Representativeness bias from heuristics factor, Mental Accounting, Loss and Regret Aversion from prospect factor, and Market variables and Herding factors. The study employed exploratory and confirmatory factor analysis. In addition, structural equation modeling is applied for the testing of the hypotheses. Findings: Prospect behavioral factor is seen to have negative correlation to investment performance. Herding, Market variables and Heuristic (including overconfidence and anchoring bias) are found to have positive correlation to investment performance. Implications: To cope with intense competition among the competitors in Nepali stock market, this study provides strong evidence herding and heuristic approach that have positive indication to investment performance

Pengaruh Faktor Demografi dan Literasi keuangan dengan Behavior Finance dalam Pengambilan Keputusan Investasi

The investment decision-making process is influenced by various factors, including financial literacy and demographic factors. This research examines the impact of demographic factors and financial literacy with behavioral finance as a mediation on investment decision making. This research using structural equation model (SEM) analysis. The result shows that demographic factors through gender, age, education, income, occupation and experience have an influence and cause a specific behavior in investment decision making. Then the financial literacy factor has an influence in reducing negative behavior. Likewise, demographic factors and financial literacy with behavioral finance as a mediation on investment decisions have a positive influence. The existence of behavior that is manages with planning, financial literacy support, and demographic factors owned by individual investors will create an opportunity for market momentum. Which help maximize profit, better investment and portfolio performance, avoid risks, better investment decision, and forming trading strategies.

What Drives Individual Investors to Invest in Mutual Funds in a Developing Economy

Purpose: The aim of this study is to investigate factors that influence investment in mutual funds by individual investors in a developing economy. Drawing insights from the theory of planned behaviour, the study identified and tested the effect of awareness, attitude, financial literacy and preference for other competing investments on intention to invest in mutual funds by individual investors. Design/Methodology/Approach: Data was collected from 280 respondents in Zambia. Data was analysed using correlations and hierarchical regression models. Findings: The study reveals that awareness and attitude towards mutual funds significantly influence intention to invest in mutual funds. Surprisingly, financial literacy and preference for other investments do not significantly affect an individual investor’s intention to invest in mutual funds. Implications/Originality/Value: This study contributes to the financial services marketing literature by increasing understanding of individual investors’ investment decisions and drivers that influence intention to invest in mutual funds in Zambia. The study recommends that mutual funds marketers should invest more in building awareness and positive attitude towards investment in mutual funds in order to develop retail demand. Also, investment companies and financial services marketing policy makers should carefully consider their financial literacy programmes as the study reveals that financial literacy and competing investments are not significant drivers.

Stock Indices Breakdown during the Pandemic as the Most Dynamic Bear Market in History: Consequences for Individual Investors

The breakdown of stock indices is an obvious part of the financial market cycle. A common question about a bear market is the time and the depth of the downtrend, as well as the speed of the following recovery. As the COVID-19 pandemic spread globally, it induced huge price drops in a very short period, and an uptrend with new historical highs afterwards. The results of this research show that the pandemic breakdown was the fastest bear market in history; however, it does not confirm that future downtrends will be at the same or even greater speed. The consequences for individual investors have forced them to prepare for possible similar market behavior in the future, and to adjust their trading techniques and strategies to these conditions.

Linking the Robo-advisors Phenomenon and Behavioural Biases in Investment Management: An Interdisciplinary Literature Review and Research Agenda

Technological advancements bring continuous changes into the investment industry. The paper aims to provide insights on future research agenda based on a review of the current stance of research on the links between the Robo-advisors phenomenon and behavioural biases of individual investors. A qualitative investigation method has been applied for literature review on Robo-advisors and their impact on behavioural biases. The key findings indicate that Robo-advisors can help users to make better informed and less biased decisions. However, Robo-advisors activate the investors’ automatic system processes. The resulting passive investment approach could lead to alienation of the investors from the stock market, decreasing their understanding of the investment process that could widen a gap between different clusters of investors. The paper makes several contributions to the literature. First, it provides arguments on why a dual process theoretical framework in the relationship between financial advisory and investment behavioural biases is applicable. Second, it studies the Robo-advisor phenomenon and proposes a comprehensive definition of Robo-advisors. Third, the literature review suggests drivers of the Robo-advisors effect on the changes of behavioural biases as a future research direction.