What Makes Fund Managers Leave Their Jobs Faster?

Author:

Karoglou Michail1ORCID,Liu Jia2ORCID,Stafylas Dimitrios3

Affiliation:

1. Centre for Business Prosperity Aston Business School Birmingham B4 7ET UK

2. School of Accounting, Economics and Finance University of Portsmouth Portsmouth PO1 3DE UK

3. School for Business and Society University of York York YO10 5DD UK

Abstract

AbstractWe examine fund managers’ mobility across different funds and the factors associated with their moving to new posts. Based on a comprehensive and unique dataset of open‐ended funds of the booming Chinese mutual fund industry, we model the duration of a fund manager's service as a time‐to‐event counting process and examine how the prevailing market conditions, the manager's performance and the risk profile of the fund determine how long the manager will remain in post. Our study establishes that managerial performance and rising rather than falling markets are the two main factors that make managers less likely to remain in their posts. In contrast, the riskier the profile of the fund with respect to the market, the less likely it is that a manager will move. When all factors are considered, it appears that open‐ended fund managers leave their posts when offered better employment prospects rather than when confronted by market adversity. Our study provides a novel insight into the optimization of investment decisions and encourages regulators to scrutinize the disclosure of appropriate information to investors regarding fund manager changes.

Publisher

Wiley

Subject

Management of Technology and Innovation,Strategy and Management,General Business, Management and Accounting

Reference111 articles.

1. Nonparametric inference for a family of counting processes;Aalen O.;Annals of Statistics,1978

2. Volatility of aggregate volatility and hedge fund returns;Agarwal V.;Journal of Financial Economics,2017

3. Risks and portfolio decisions involving hedge funds;Agarwal V.;Review of Financial Studies,2004

4. On luck versus skill when performance benchmarks are style‐consistent;Agyei‐Ampomah S.;Journal of Banking and Finance,2015

5. Pension fund manager skills over the economic cycle: the (non‐) specialization cost;Alda M.;European Journal of Finance,2018

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