502 research outputs found

    Does Individual Performance Affect Entrepreneurial Mobility? Empirical Evidence from the Financial Analysis Market

    Get PDF
    Our paper contributes to the studies on the relationship between workers' human capital and their decision to become self-employed as well as their probability to survive as entrepreneurs. Analysis from a panel data set of research analysts in investment banks over 1988-1996 reveals that star analysts are more likely than non-star analysts to become entrepreneurs. Furthermore, we find that ventures started by star analysts have a higher probability of survival than ventures established by non-star analysts. Extending traditional theories of entrepreneurship and labor mobility, our results also suggest that drivers of turnover vary by destination: (a) turnover to entrepreneurship and (b) other turnover. In contrast to turnover to entrepreneurship, star analysts are less likely to move to other firms than non-star analysts.

    The Risky Business of Hiring Stars

    Get PDF
    An in-depth study of 1,052 star stock analysts who worked for 78 investment banks in the United States from 1988 to 1996 finds that when a company hires a star, the star’s performance plunges, there is a sharp decline in the functioning of the group or team she works with, and the company’s market value falls. Moreover, stars don’t stay with the organizations for long. For all those reasons, we conclude that companies cannot gain a competitive advantage by hiring stars from outside the business. Instead, they should focus on growing talent within the organization and retain the stars they develop

    The Influence of Buy-side Analysts on Mutual Fund Trading

    Get PDF
    We present evidence on the trading and performance impact of buy-side analysts. Using data provided by a large global asset manager, we relate buy-side analysts' recommendations to fund transactions on a daily basis. We show that buy-side analysts significantly influence trading decisions: Fund managers strongly follow recent recommendation revisions, even after controlling for other trading determinants. Positive abnormal returns to buy-side analysts' revisions are also reflected in the performance of mutual fund trades: Trades triggered by buy-side recommendations have higher returns than other trades. Overall, the impact of buy-side analysts is more pronounced than that of sell-side analysts

    The Influence of Buy-side Analysts on Mutual Fund Trading

    Get PDF
    We present evidence on the trading and performance impact of buy-side analysts. Using data provided by a large global asset manager, we relate buy-side analysts' recommendations to fund transactions on a daily basis. We show that buy-side analysts significantly influence trading decisions: Fund managers strongly follow recent recommendation revisions, even after controlling for other trading determinants. Positive abnormal returns to buy-side analysts' revisions are also reflected in the performance of mutual fund trades: Trades triggered by buy-side recommendations have higher returns than other trades. Overall, the impact of buy-side analysts is more pronounced than that of sell-side analysts

    Modeling and verifying a broad array of network properties

    Full text link
    Motivated by widely observed examples in nature, society and software, where groups of already related nodes arrive together and attach to an existing network, we consider network growth via sequential attachment of linked node groups, or graphlets. We analyze the simplest case, attachment of the three node V-graphlet, where, with probability alpha, we attach a peripheral node of the graphlet, and with probability (1-alpha), we attach the central node. Our analytical results and simulations show that tuning alpha produces a wide range in degree distribution and degree assortativity, achieving assortativity values that capture a diverse set of many real-world systems. We introduce a fifteen-dimensional attribute vector derived from seven well-known network properties, which enables comprehensive comparison between any two networks. Principal Component Analysis (PCA) of this attribute vector space shows a significantly larger coverage potential of real-world network properties by a simple extension of the above model when compared against a classic model of network growth.Comment: To appear in Europhysics Letter

    Person-centred Leadership: a relational approach to leadership derived through action research

    Get PDF
    Aims & Objectives: How does person-centred leadership manifest in clinical nursing. Background: Person-centred practice fosters healthful relationships and is gaining increasing attention in nursing and healthcare, but nothing is known about the influence of a person centred approach to leadership practice. Most leadership models used in nursing were originally developed outside of nursing. Design: A three year participatory action research study where participant leaders planned, researched and learned from their practice development. Methods: After an orientation phase, four action spirals focused on: critical and creative reflective inquiries into leadership practice change; leading the implementation and evaluation of a new nursing system; facilitating storytelling sessions with staff and annually reflecting on personal leadership change. Multiple data gathering methods offered insight into leadership development from several perspectives. Results: Critical and creative thematic data analysis revealed a set of attributes, relational processes and contextual factors that influenced the being and becoming of a person-centred leader. Comparing the findings with nursing leadership literature supports a conceptual framework for person-centred leadership. Conclusions: Person-centred leadership is a complex, dynamic, relational and contextualised practice that aims to enable associates and leaders achieve self-actualisation, empowerment and wellbeing.sch_nurpub5316pu
    • …
    corecore