91猫先生

The department is equipped with the Bloomberg Terminal, providing students with real-time and comprehensive global financial market data. In addition, the BQuant (Bloomberg Quant) platform is integrated to cultivate students’ ability to perform financial data analysis and develop trading strategies using programming languages. The BQuant platform combines Python with extensive financial databases, enabling students to conduct data processing, visualization, and backtesting in a cloud-based environment. This hands-on experience with industry-standard quantitative research tools enhances students’ practical fintech capabilities. Access real-time global financial data (stocks, bonds, foreign exchange, etc.) Support Python-based data analysis (Pandas, NumPy) Develop and backtest quantitative investment strategies Perform data visualization and interactive chart analysis Cloud-based notebook environment for research and collaboration Quantitative Strategy Performance Comparison Using the BQuant platform, students can compare multiple investment strategies simultaneously, evaluating key performance metrics such as Sharpe Ratio, returns, and maximum drawdown. Technical Analysis and Trading Strategy Implementation Students apply technical indicators such as Bollinger Bands to construct mean-reversion strategies, analyzing trading signals and cumulative returns. Pairs Trading Analysis Statistical methods are used to analyze the relationship between two assets, constructing spread and Z-score models to design quantitative arbitrage strategies. Index Arbitrage Backtesting Results This example illustrates the relative price spread between TSMC and the market index. Z-score is applied to identify arbitrage opportunities and evaluate cumulative returns. By integrating the Bloomberg Terminal and BQuant platform into the curriculum, students gain direct exposure to industry practices, developing interdisciplinary expertise in data analysis, programming, and quantitative investment.

Classroom Introduction: This classroom is a professional financial teaching space that combines instruction with practical application. It features Bloomberg Terminal, a world-leading financial information platform, providing real-time global market data, financial news, and professional analytical tools. This allows students to engage with industry-standard operations right in the classroom, enhancing their financial analysis and decision-making abilities. The classroom adopts a flexible group-learning design, equipped with five polygonal discussion tables well suited to group discussions and hands-on practice, promoting interactive teaching. Four large displays at the back present market information and analytical reports in real time, strengthening the sense of immersion and command of information. The front is equipped with a touchscreen interactive display, which, together with hands-on instruction and live demonstrations, helps students quickly become familiar with the system's features and improve learning efficiency. By integrating theory and practice, this classroom creates an immersive financial learning environment and serves as an important teaching venue for cultivating talent in digital finance and investment analysis. Interior Photos: Detailed photos https://drive.google.com/drive/folders/1KDSMfzaN2S6ses_HZmGWpmN07majvRE7?usp=sharing Class schedule and reservation status is shown below: Classroom bookings in the Department of Finance are prioritized for scheduled courses. The seating capacity of each classroom is as follows: Classroom Name Seating Capacity Bloomberg Trading Lab Approx. 30 people Before making a reservation, please confirm that the classroom you wish to book is available on the desired date and time, then send your reservation request by email. How to reserve: Please email D000020403@cgu.edu.tw Subject: Classroom Reservation In the body, please specify the location, date, start and end times, purpose (XXX course, event, or project meeting with a professor), and the name of the person making the reservation. Example: Bloomberg Trading Lab, 2026/03/18 (Wed) 13:00–16:00, Finance Workshop, Lu OO Contact extension: 2636

Classroom Introduction: The AI Innovation and Support Center creates a multi-functional teaching space that integrates “learning, exchange, and hands-on practice,” providing an ideal environment for faculty and students to engage in AI applications, seminar discussions, and interdisciplinary collaboration. The classroom features an open-plan design, equipped with several wooden discussion tables and comfortable seating, allowing flexible arrangements for group discussions, small-group teaching, and workshop activities that promote interactive learning and creative thinking. The space is also fitted with a large display screen for convenient presentations and real-time instruction, enhancing classroom efficiency. In addition, a bar-height seating area by the window, complemented by natural daylight and soft lighting, creates a comfortable and inspiring learning atmosphere, well suited to independent study, seminar discussions, or brief exchanges. The overall space is enhanced with greenery and a minimalist design to improve environmental quality and the user experience. Interior Photos: Class schedule and reservation status is shown below: Classroom bookings in the Department of Finance are prioritized for scheduled courses. The seating capacity of each classroom is as follows: Classroom Name Seating Capacity AI Innovation and Support Center Approx. 35 people Before making a reservation, please confirm that the classroom you wish to book is available on the desired date and time, then send your reservation request by email. How to reserve: Please email D000020403@cgu.edu.tw Subject: Classroom Reservation In the body, please specify the location, date, start and end times, purpose (XXX course, event, or project meeting with a professor), and the name of the person making the reservation. Example: AI Innovation and Support Center, 2026/03/18 (Wed) 13:00–16:00, Finance Workshop, Lu OO Contact extension: 2636

To promote exchange between academia and industry, actively apply the latest research knowledge in financial asset pricing and artificial intelligence, foster the healthy development of derivative financial products, and advance futures education to cultivate professional talent in the financial field, our department has established a partnership with the Taiwan Futures Exchange (TAIFEX). With a donation of one million NT dollars from TAIFEX, earmarked for this specific purpose, the “Futures Artificial Intelligence Laboratory” was established.         One of the founding purposes of the “Futures Artificial Intelligence Laboratory” is to cultivate talent for the domestic futures market. Through the historical futures market data provided by this laboratory, enrolled students can perform database management, big data analysis, data modeling, trading strategy order simulation and profit-and-loss estimation, options pricing, and the calculation of hedging parameters. This enables students to become familiar with and understand the mechanisms of futures market operations, the risk and return characteristics of futures trading, and the strategies and applications of speculation, hedging, and arbitrage trading in the futures market—giving them the opportunity to become the new pioneers of the futures market.         The core technical capability of financial technology is the application of AI. The laboratory will provide an optimal research and learning environment, with the hope that students will make good use of this high-quality database to gain a head start in the AI era, nurturing a “new” generation of financial talent.