Skip navigation

An Investigation of Trust in Chinese Mutual Funds Investment

An Investigation of Trust in Chinese Mutual Funds Investment

Gao, Xiaowen and Charles, Ward (2013) An Investigation of Trust in Chinese Mutual Funds Investment. In: EFMA 2013 Annual Conference, 26-29 June 2013, University of Reading. (Unpublished)

[img]
Preview
PDF (Presentation)
16992 GAO_Chinese_Mutual_Funds_Investment_2013.pdf - Presentation

Download (491kB) | Preview

Abstract

The paper investigates the role of trust in fund managers’ investment process. Three types of trust - personal trust, organizational trust and system trust have been identified in Chinese fund managers’ investment practice. The impacts of different types of trust on mutual funds’ performance are then examined empirically.

Through an in-depth investigation of 96 actively managed Chinese mutual funds, this paper reveals how trust is formed between fund managers and listed companies. Fund managers’ portfolio performance is measured using both risk-adjusted measurement and simple absolute returns. The performance of fund managers’ market timing is also provided.

Using cross-sectional regression analysis, a positive relationship is found between Chinese fund managers’ portfolio performance and personal trust, while a negative association emerges between fund mangers’ performance and system trust. No evidence is found between portfolio performance and institutional trust. Overall, fund managers’ trust building strategies exert significant impact on funds’ performances. One major implication of this paper is that European fund managers should be aware of the local cultural environment should they intend to find Chinese partners in the mutual fund business.

Item Type: Conference or Conference Paper (Paper)
Uncontrolled Keywords: Trust, Private information, Performance of mutual funds
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Department of Accounting & Finance
Last Modified: 19 May 2017 15:14
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/16992

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics