Fu Feng - China Tontine Insider

CATWF -- USA Stock  

USD 0.01  0.00  0.00%

Production Manager

Ms. Feng Fu Qin is Production Manager of China Tontine Wines Group Limited. She joined our Group in September 2001 and was promoted from production supervisor to her current position in January 2011. Ms. Feng is responsible for supervising the overall production and manufacturing processes of the products of our Group. Prior to joining our Group, Ms. Feng had over 7 years experience in production management. Ms. Feng graduated from Tianjin Light Industry College with a college diploma in chemistry in July 1992.
Age: 49  Executive Since 2011      

Management Efficiency

The company has return on total asset (ROA) of (3.62) % which means that it has lost $3.62 on every $100 spent on asset. This is way below average. Similarly, it shows return on equity (ROE) of (5.54) % meaning that it generated substantial loss on money invested by shareholders.

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Entity Summary

China Tontine Wines Group Limited, an investment holding company, produces and sells grape wine. China Tontine Wines Group Limited is a subsidiary of Up Mount International Limited. China Tontine is traded on OTC Market in USA.China Tontine Wines Group Limited (CATWF) is traded on OTC Market in USA. It is located in No. 2199, Tuanjie Road and employs 498 people.

China Tontine Wines Leadership Team

Qiang Yang, Director
Dan Zhao, CFO
Ka Leung, Executive
Kwok Wong, Executive, CPA
Chi Lai, Director
Lijun Wang, Executive
Wai Sih, Director
Dazhou Yu, Executive
Yiu Lam, Director
Guangyuan Wang, Chairman
Xuexin Zhang, Executive
Xiaoming Wang, President
Lijuan Wang, Director
Hebin Zhang, Director
Changgao Li, Director
Fu Feng, Executive
Chunhua Ji, Executive
Yankun Sun, Executive

Stock Performance Indicators

Current Sentiment - CATWF

China Tontine Wines Investor Sentiment
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Pair Correlation

Equities Pair Trading Analysis
Correlation analysis and pair trading evaluation for China Tontine and Ecopetrol S A. Pair trading can be used as a hedging technique within a particular sector or industry or even over random equities to generate better risk-adjusted return
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