Exchange Awards 6 Teams Including Dongguk University at the 'National University Student Securities and Derivatives Competition' View original image



[Asia Economy Reporter Kwon Jae-hee] The Korea Exchange announced on the 21st that six teams, including the Dongguk University team, were selected as the final award-winning teams at the "17th National University Student Securities and Derivatives Competition" held on the 18th.


The Grand Prize was awarded to Dongguk University's "Python 2.2" team. The Dongguk team received the grand prize for their paper titled "A Study on the Development of the KOSDAQ Innovation Index Using Deep Learning."


In addition, Kyungpook National University (KNUDART), Seoul National University (Alpha Team, both Excellence Awards), Soongsil University (SS Perstar), Yonsei University (Yeongcha Yeongcha), and Konkuk University (Konkuk Carlo, both Encouragement Awards) were awarded.


The grand prize-winning team receives a commendation from the Financial Services Commission Chairman and a scholarship of 10 million KRW, while the excellence and encouragement award teams receive a commendation from the Korea Exchange Chairman and scholarships of 6 million KRW and 4 million KRW, respectively.


Jo Hyo-je, Head of the Derivatives Market Division at the Korea Exchange, stated, "As the years go by, research topics are becoming more diverse, and the methods and levels of analysis are also improving significantly. We hope that this competition will increase university students' interest and understanding of the capital market."



Meanwhile, the Korea Exchange has been holding this competition annually since 2005 to provide university students with opportunities to understand the capital market. A total of 45 teams applied for the preliminary round held since September last year, and 10 teams passed the preliminary screening. Winners of the competition will receive preferential treatment in document screening when applying for employment at the Korea Exchange for the next five years.


This content was produced with the assistance of AI translation services.

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