Fang Qiao
Assistant Professor at University of International Business and Economics- Claim this Profile
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English -
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Chinese Native or bilingual proficiency
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Bio
CK Wang
I studied with Fang at Lancaster University for MSc. Quantitative Finance. She is one of the most talented in our class. She is active in class that she discusses a lot with her fellows. Obviously she also works very hard to achieve her goals and ended as the first place in the program.
Hao Tan
Fang is definitely diligent and smart, who can focus on her study and work efficiently.
CK Wang
I studied with Fang at Lancaster University for MSc. Quantitative Finance. She is one of the most talented in our class. She is active in class that she discusses a lot with her fellows. Obviously she also works very hard to achieve her goals and ended as the first place in the program.
Hao Tan
Fang is definitely diligent and smart, who can focus on her study and work efficiently.
CK Wang
I studied with Fang at Lancaster University for MSc. Quantitative Finance. She is one of the most talented in our class. She is active in class that she discusses a lot with her fellows. Obviously she also works very hard to achieve her goals and ended as the first place in the program.
Hao Tan
Fang is definitely diligent and smart, who can focus on her study and work efficiently.
CK Wang
I studied with Fang at Lancaster University for MSc. Quantitative Finance. She is one of the most talented in our class. She is active in class that she discusses a lot with her fellows. Obviously she also works very hard to achieve her goals and ended as the first place in the program.
Hao Tan
Fang is definitely diligent and smart, who can focus on her study and work efficiently.
Credentials
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Passed CFA Level I and II
CFA Institute
Experience
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University of International Business and Economics
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China
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Higher Education
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1 - 100 Employee
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Assistant Professor
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Sep 2019 - Present
Research on "Finding Anomalies in China" with Kewei Hou and Xiaoyan ZhangTo study the cross-section of returns in the Chinese stock market, we follow the anomaly literature and construct 454 strategies between 2000 and 2020, based on 208 firm-level trading and accounting signals. With the conventional single-testing t-statistic cutoff of 1.96, 101 strategies have significant value-weighted raw returns, and 20 remain significant after risk adjustments. To avoid false discoveries, we recalibrate the t-statistic cutoff to 2.85 to accommodate multiple testing. 36 strategies survive the higher hurdle rate in value-weighted raw returns, while none remains significant after risk adjustments. When we use machine learning techniques to combine information from multiple signals, the resulting composite strategies mostly have significant returns after risk adjustments, even with the higher t-statistic cutoff. We relate Chinese anomaly returns to aggregate economic conditions and find that they comove with financial market development, accounting quality, market liquidity, and government regulations.
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Tsinghua PBCSF 清华五道口
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China
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Higher Education
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1 - 100 Employee
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Postdoctoral Researcher
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Aug 2016 - Sep 2019
Research on "Variance Risk Premiums in Emerging Markets" with Lai Xu, Xiaoyan Zhang, and Hao ZhouWe provide first time the emerging market variance risk premiums (EMVRP) from 2006 to 2019, based on nine emerging stocks and options markets—Brazil, China, India, South Korea, Mexico, Poland, Russia, South Africa, and Taiwan. The EMVRP significantly predicts international stock returns and currency appreciation rates, especially for horizons longer than six months. This is in sharp contrast with the predictive pattern of the developed market variance risk premium (DMVRP), which is more important over horizons shorter than six months. These findings areconsistent with an illustrative model incorporating partial market integration and heterogeneous economic uncertainty.
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Cirdan Capital
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United Kingdom
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Financial Services
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1 - 100 Employee
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Quantitative Summer Analyst
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Jun 2015 - Oct 2015
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Laven Partners
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United Kingdom
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Financial Services
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1 - 100 Employee
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Risk Analyst
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Jan 2015 - Mar 2015
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University of Exeter
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United Kingdom
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Higher Education
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700 & Above Employee
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Teaching Assistant
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Sep 2014 - Dec 2014
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Education
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2012 - 2016
University of Exeter
Finance, General -
2011 - 2012
Lancaster University
Master's Degree, Quantitative Finance (Distinction) -
2007 - 2011
Shandong University of Finance and Economics
Bachelor's degree, Economics
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