Yan Li

Mr. Yan Li

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 August 2023 in Journal of International Financial Markets, Institutions and Money
Verified
Journal Article
Open access
CLChao Liang
Chao Liang
QLQin Luo
Qin Luo
YLYan Li
Yan Li
LHLuu Duc Toan Huynh
Luu Duc Toan Huynh

7 May 2022 in Finance Research Letters
Verified
Journal Article
Closed access
YXYongan Xu
Yongan Xu
CLChao Liang
Chao Liang
YLYan Li
Yan Li
THToan L.D. Huynh
Toan L.D. Huynh

19 October 2022 in Finance Research Letters
Verified
Journal Article
Closed access
MYMo Yang
Mo Yang
YLYan Li
Yan Li
DDDayong Dong
Dayong Dong

Verified
Journal Article
Open access
PDF file
YLYan Li
Yan Li
Weiping LiWeiping Li
Weiping Li
In this paper, we introduce the MSCI China A-shares index (MCASI) and analyze MCASI’s properties. From the perspective of index investment, we found that MCASI’s investor sentiments, both overnight sentiment and BW sentiment, provide significant predictability for future MCASI returns, supported by the in-sample and out-of-sample results. From the perspective of sector investment, we show that the sector portfolio of “information transfer, software and information technology services” performs the best among the 10 sector portfolios. In addition, seven approaches of the optimal portfolio in ten sectors are examined, and the results suggest that the classic Markowitz portfolio approach is recommended. Our empirical analysis is helpful for domestic and foreign investors seeking to form investment strategies for MSCI China A-shares.

5 April 2023 in Finance Research Letters
Verified
Journal Article
Closed access
FBFan Bai
Fan Bai
YZYaqi Zhang
Yaqi Zhang
ZCZhonglu Chen
Zhonglu Chen
YLYan Li
Yan Li

1 June 2010
Verified
Conference Paper
Closed access
YJYuan Jianhui
Yuan Jianhui
YLYan Li
Yan Li
Previous research has shown that the synergy of collaborative herding behavior and market sentiment is one of the internal mechanisms for stock market volatility. In this paper, inter-agent imitation and the simulation of the collaboration of market sentiment signals are conducted on a platform of computational experiments. The results of the experiments show bubbles or collapse of stock price due to notable collaborative herding behavior and certain stability of the relationship between herding behavior and market volatility.