Proceedings of the 2018 3rd International Conference on Humanities Science, Management and Education Technology (HSMET 2018)

Performance Analysis on the Chinese Open-end Stock Funds’ Investment Style Convergence

Authors
Xin Zhao
Corresponding Author
Xin Zhao
Available Online June 2018.
DOI
https://doi.org/10.2991/hsmet-18.2018.142How to use a DOI?
Keywords
style convergence,fund performance,outlier strategy, personal ability.
Abstract

This paper quantitatively studies the relationship between investment style convergence and fund performance of open-end stock funds from the empirical point of view, and finds that: the convergence of the actual fund style is serious; in the long run convergence tends to reduce the fund performance, but to a lesser extent; if the fund managers have higher personal ability, outlier will significantly improve fund performance, on the contrary the relationship between convergence and performance is unstable;outlier strategy is effective on the premise that the fund managers have high personal ability.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 3rd International Conference on Humanities Science, Management and Education Technology (HSMET 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2018
ISBN
978-94-6252-537-5
ISSN
2352-5398
DOI
https://doi.org/10.2991/hsmet-18.2018.142How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xin Zhao
PY  - 2018/06
DA  - 2018/06
TI  - Performance Analysis on the Chinese Open-end Stock Funds’ Investment Style Convergence
BT  - Proceedings of the 2018 3rd International Conference on Humanities Science, Management and Education Technology (HSMET 2018)
PB  - Atlantis Press
SP  - 717
EP  - 722
SN  - 2352-5398
UR  - https://doi.org/10.2991/hsmet-18.2018.142
DO  - https://doi.org/10.2991/hsmet-18.2018.142
ID  - Zhao2018/06
ER  -