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This paper aims to investigate not only the performance of Portuguese mutual funds investing in domestic and international equities but also which fund characteristics, such as age, size, family size, expense ratios and flows, influence future performance.

Fund performance is evaluated over the 2005–2022 period by a robust six-factor model, while the impact of fund characteristics on performance is assessed by a set of fixed-effects panel data regressions with two-way cluster-robust standard errors.

The results show that, while funds investing in domestic equities predominantly exhibit neutral performance, most international equity funds have significantly negative alphas. The authors document a negative and statistically significant relationship between fund age and performance for all fund categories. Total expense ratios have an inverse relationship with domestic equity fund performance but do not impact the performance of international equity funds significantly. Though fund flows have a neutral effect on performance across the overall period, they are important determinants of both domestic and international funds’ performance in more recent years.

The authors contribute to the literature by carrying out a comprehensive analysis, based on recent and robust methodologies, of the impact of mutual fund characteristics on the future performance of Portuguese equity funds. The research findings serve as a premise for advising investors on how to choose the top-performing funds.

The purpose of this paper is to analyze the effects of individual manager characteristics on real estate mutual fund (REMF) performance. Human capital theory predicts that factors like education, experience and professional certifications improve skill sets and thus performance. Conversely, capital markets theory suggests that these things may be irrelevant in the management of mutual funds.

A total of 63 REMFs were sampled over the period 2001‐2003 and equations were estimate regressing, alternatively, risk‐adjusted return, market risk and management fees on a series of fund variables and manager characteristics including the manager's tenure, whether the fund manager holds a professional certification, whether the manager has specific real estate experience, and whether the fund is team‐managed.

Modest evidence is found that team‐managed funds have lower risk‐adjusted returns than solo‐managed funds. Managers with longer tenure tend to pursue higher market risk levels, and there is no relation between manager characteristics and management fees.

This study considers only one cross‐sectional time period. Future research might use longitudinal data.

Despite real estate being a specialized field of finance, there is little if any support for the predictions of human capital theory that experience, education and training result in greater performance among managers of REMFs.

This paper extends prior work in mutual fund management characteristics and fund performance to real estate funds.

The purpose of this paper is to examine the ability of hedge funds and funds of hedge funds to generate absolute returns using fund level data.

The absolute return profiles are identified using properties of the empirical distributions of fund returns. The authors use both Bayesian multinomial probit and frequentist multinomial logit regressions to examine the relationship between the return profiles and fund characteristics.

Some evidence is found that only some hedge funds strategies, but not all of them, demonstrate higher tendency to produce absolute returns. Also identified are some investment provisions and fund characteristics that can influence the chance of generating absolute returns. Finally, no evidence was found for performance persistence in terms of absolute returns for hedge funds but some limited evidence for funds of funds.

This paper is the first attempt to examine the hedge fund return profiles based on the notion of absolute return in great details. Investors and managers of funds of funds can utilize the identification method in this paper to evaluate the performance of their interested hedge funds from a new angle.

Using the properties of the empirical distribution of the hedge fund returns to classify them into different absolute return profiles is the unique contribution of this paper. The application of the multinomial probit and multinomial logit models in the fund performance and fund characteristics literature is also new since the dependent variable in the authors' regressions is multinomial.

This paper aims to explore whether individual intellectual capital of a fund manager allows mutual fund to outperform market.

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.

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.

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.

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.

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.

This study sets out to examine whether small and mid‐cap fund performance is related to fund manager human capital characteristics including tenure, investment experience, education (MBA designation), professional training (CFA), and gender.

Based on a sample of 1,004 small and mid‐cap equity funds identified on the Morningstar database as of 31 December 2005, several statistical tests were applied which consider fund performance, risk, expenses, and turnover simultaneously.

Depending on the benchmark, an optimal size of managed mutual funds is determined that ranges between $US1.43 billion and $US3.89 billion.

The results suggest that there are some systematic cross‐sectional differences in fund performance that can be attributed to differences in managerial human capital characteristics.

Scholarly knowledge of organizational founding in the nonprofit sector has grown not from macro-level analyses but rather from the aggregation of in-depth and focused studies of particular geographical regions or service fields. Employing logistic regression techniques, this paper examines the formation of nonprofits in one key but overlooked site of the voluntary sector: workplace charity. Testing competing theories, the paper analyzes the effect of demand-side, supply-side, and community-level characteristics on the presence of rival federated fundraisers in the largest 123 MSAs in 2000. The results indicate that these nonprofit organizations are formed in large cities with a sizeable and stable nonprofit sector, regardless of ease of access to charitable contributions and the level of available funding.

Social ventures are unique and important for society; yet, we know very little about their business models. The purpose of this paper is to: re-conceptualize extant business model frameworks so that they can analyze social ventures; identify the key characteristics of social ventures; and identify the typology of effective social venture business model configurations.

The paper uses resource dependence theory to make sense of extant business models and borrows from public administration literature to identify key characteristics and different configurations of social venture business models.

The paper re-conceptualizes business model frameworks as inter-organizational arrangements to cope with external resource dependence; this paper also identifies four key characteristics of social ventures, and develops a social venture business model typology based on these unique key characteristics and extant business model dimensions.

The typology may guide further social venture research, e.g. research on social venture business model creation, on social venture business model innovation, and on social change. Limitations and boundary conditions are discussed in the paper.

The research may further help social entrepreneurs to develop effective business models that meet the social and financial objectives.

The paper offers a novel reconceptualization of traditional business model frameworks, a unique set of key characteristics of social ventures, and a theoretical typology of effective social venture business model configurations.

This study aims to analyze the impact of different governance characteristics on the ratings of both Islamic and conventional mutual funds.

This study used panel data ordered probit regression model. Furthermore, to capture the mutual funds rating persistence effect and address the issue of endogeneity dynamic panel model is used and the results are estimated using the generalized method of the moment (GMM) technique.

The results indicated that amongst the corporate governance characteristics, board size, the board independence, directors and institutional ownership, and overall governance quality positively affect the ratings of both Islamic and conventional funds. However, chief executive officer (CEO) duality and board gender diversity did not show a significant impact on the ratings of these funds.

The current research provides input to the asset management firms as to how they can increase the fund ratings by implementing strong governance practises. Furthermore, the study also provides input to the rating agencies to account for governance characteristics along with financial indicators, when issuing the rating of any fund.

To the best of the author’s knowledge, this study is the first attempt to analyze the impact of corporate governance characteristics on the rating of both Islamic and conventional mutual funds and hence provides a significant contribution to the literature.

Despite the benefits of international diversification, the home equity bias phenomenon is well documented in the portfolio choice literature. The purpose of this paper is to investigate whether the same investment behavior applies to domestic socially responsible investments (SRIs) where ethical screenings should be the selection criteria.

The authors apply the model by Coval and Moskowitz (1999), Grinblatt and Keloharju (2001) and Agarwal and Hauswald (2010) to uncover the effect of distance relative to screenings on SRI domestic portfolio choice. For the first time, the authors test the robustness of distance effect by using time bias, which is the travel time between the fund manager and the company’s headquarter.

The authors find that SRIs exhibit a strong preference for locally headquartered firms. After controlling for screening activity and other fund characteristics, the authors still find a strong distance bias in SRI fund portfolio decision-making. The authors find that this bias is mostly observed in SRI fund with social screening and that fund holding characteristics determine the propensity of fund managers to invest locally. The results suggest that the local bias puzzle exists in SRI.

This study provides avenue for future research to examine whether the same local bias is found in SRI investment in other countries where they have different characteristics and behavior. Also, the evidence that local bias exists in SRI investment may need further analysis as to whether this is conflicting with the objectives of SRI, which focus more on ethical beliefs.

The results suggest that many local firms in the same city currently held by an SRI fund will not be held by this fund if it is in another city. The implications of the findings are that geographic proximity, along with ethical screenings, is an important dimension to how SRI fund invests.

This study is the first that examines local bias in SRI funds by using portfolio holding data.

Limited access to capital is a classic issue in and a burden to micro, small and medium enterprises (MSMEs) in Indonesia. The existence of the problem with information asymmetry and agency conflicts that are predominant at the level of small businesses, increasingly hampers the opportunity to obtain funds from various external sources. Especially for businesses that are at the pioneering stage, entrepreneurs are required to think creatively, have the courage to take risks, and be independent in fulfilling resources to realize business opportunities. The availability of funds certainly has an impact on business performance, either directly or indirectly. Based on a literature review, business performance is categorized into financial and non-financial dimensions with various measurement proxies. However, some of the models and measurements proposed are not always suitable in assessing the performance of MSMEs, especially in the startup phase. Therefore, this chapter concurrently describes the funding patterns and the funding alternatives to measure the performance of new businesses based on the existing literature. Theoretically, this research adds a perspective in the field of entrepreneurial finance regarding funding patterns that can be implemented by startup businesses in Indonesia and provides a proposal for measuring the concept of performance that is more adaptive and comprehensive for businesses in the startup stage. The implication of this research for entrepreneurs leads to the need to adjust funding decisions according to the changing stages of the business lifecycle and to expand the funding window to support the sustainability of small businesses.