Purpose – This paper aims to explore whether individual intellectual capital of a fund manager allows mutual fund to outperform market. Design/methodology/approach – The sample includes 85 Russian equity funds for the period of 2013. First, Jensen’s alpha for each fund has been calculated, and then cross-sectional regression analysis has been used. While only a part of fund managers publish biographic sketches, the authors use the Heckman procedure to control for self-selection issues. Findings – The results support the idea that the individual characteristics indicate the possibility to earn abnormal alpha. Managers with economic education and with Moscow education perform better than others. Relationship between both fund performance measures and manager’s experience has inverted U-shape. Jensen’s alpha reaches its highest level at the point of 9 years, whereas beta – at 10 years of manager’s experience. Research limitations/implications – Investigation can be improved by including more variables that influence the disclosure of managers’ personal information, for example, by conducting surveys. Additionally, cross-sectional data restrict the analysis. Practical implications – The discovered characteristics of managers’ intellectual capital can be used as additional screening tool for the investor who is deciding on mutual fund choice in Russia. While individual intellectual capital is observable and more persistent in time in comparison with the past fund performance, such tool allows better decision-making. Originality/value – This is the first paper that explores which characteristics of Russian fund managers are connected with higher abnormal return (measured by Jensen’s alpha) and risk (beta) of mutual funds.
Purpose – The purpose of this paper is to present a framework that helps to analyze the dependence between personal welfare and individual (personal) intellectual capital (IIC). The authors also introduce the system of proxy indicator for personal intellectual capital (IC) of football coaches. Design/methodology/approach – This paper employs the idea that personal welfare depends on personal IC, particularly, talent. That is why initially the literature analysis of welfare phenomenon was provided. Then the system of available proxy indicators of football coaches’ IC was designed. To achieve the purpose a linear function is estimated with the help of ordinary least squares method. Findings – The chosen set of IC proxy indicators explain the significant part of coaches’ salary. Such proxies as improvement in the championship table and coach's image in media have a significant and positive influence on coach's salary. Whereas, lowering the position of the club does not considerably affect the coach's wealth. A clubs’ financial capacities and budget also influences coaches’ salaries. Research limitations/implications – Traditional limitation of proxy indicators-based studies is connected with their eligibility and complexity. Practical implications – The possibility to codify IC of a person enables to analyze core competencies necessary in a particular activity or profession for success achievement. Moreover a policy of inequality reduction should take into account that intangible assets are at the base of those persons wealth. Originality/value – This is the first paper that employs IC concept to people wealth while previous literature is dedicated to companies’ or countries’ IC.
It is believed that investments in intellectual capital enable a company to create a competitive advantage that results in the ability to earn economic profits and increase company value. However, this influence is reciprocal: Companies that generate more money can invest more funds in intellectual capital. The aim of this study is to use vector autoregression (VAR) to analyze the return on investments for companies in tangible and intellectual assets. This instrument allows us to take into account both the lag effect and the mutual influence of intellectual capital components.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.