主要简介 |
秦畅，广东外语外贸大学国家安全研究院博士后研究员，主要研究方向是将机器学习技术与金融及经济学领域相结合的跨学科研究。此前，学术研究主要聚焦于资产定价，研究对象涵盖基金市场和股票市场。致力于推进前沿研究，通过严格的实证分析以及机器学习方法的应用，解决现代金融市场中的相关问题，进而为维护金融市场安全、促进国家安全与发展贡献力量。主持广东外语外贸大学校级课题一项。 主要研究方向：资产定价，机器学习，金融安全 |
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教育背景 |
2024，杜伦大学，金融，获得金融博士学位 2016，兰卡斯特大学，高级金融分析，获得硕士学位 2014，赫尔大学，金融管理，获得本科学位 |
工作经历 |
2025/03-至今，广东外语外贸大学国家安全研究院，博士后 |
学术发表 与课题研究 |
一、科研项目 [1] 秦畅（主持人）：机器学习在金融安全中的应用研究，广东外语外贸大学粤港澳大湾区会计与经济发展研究中心2025年招标课题，在研，校级课题。 |
联系方式 |
地址：广东外语外贸大学大学城校区行政楼207办公室510006 邮箱：chang.qin@gdufs.edu.cn |
主要简介 |
Chang Qin as a postdoctoral researcher at the National Security Institute of Guangdong University of Foreign Studies, her primary research focus lies in the interdisciplinary study that integrates machine learning techniques with the fields of finance and economics. Previously, my academic research was mainly concentrated on asset pricing, with research subjects including the fund market and the stock market. I am committed to advancing cutting-edge research by employing rigorous empirical analysis and machine learning methods to address relevant issues in modern financial markets, thereby contributing to the safeguarding of financial market security and the promotion of national security and development. Research area：Asset pricing, machine learning, Financial market security |
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教育背景 |
2024，Durham university, PhD 2016，Lancaster university, MSc Advanced Financial Analysis (distinction) 2014，University of Hull, BSc Financial management (first-class honor) |
工作经历 |
2025/03-Present, Postdoctoral Fellow, National Security Institute, Guangdong University of Foreign Studies |
学术发表 与课题研究 |
二、科研项目 [1] Qin Chang (host): Research on the application of machine learning in financial security, a 2025 bidding project of the Guangdong-Hong Kong-Macao Greater Bay Area Accounting and Economic Development Research Center of Guangdong University of Foreign Studies, ongoing, school-level project. |
联系方式 |
地址：Room 207,School Office Building,Guangdong University of Foreign Studies,High Education Mega Center, Guangzhou 510006,P.R.China 邮箱：chang.qin@gdufs.edu.cn |
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