• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
20112021

Research activity per year

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Personal profile

Personal profile

Qualifications

Ph.D in Finance (University of Exeter, UK)

National Academy of Education Administration, P.R.China (国家教育行政学院  The 20th Cohort Programme)

Talent Programme

Ningbo Leading Talent Programme (“宁波市领军和拔尖人才培养工程”)

Professional Organizations

Securities Association of China (中国证券业协会,证券基金从业资格)

Ningbo Federation of Social Science Associations (宁波社科联,理事)

Biography

Dr. XiaoGang Bi is the Associate Professor in Finance at Nottingham University Business School (China), and research fellow in the Centre for Global Finance (GFC). Previously he worked in the Centre for Finance and Investment (Xfi) at University of Exeter (UK).

Dr. XiaoGang Bi obtained his PhD degree from the University of Exeter Business School (UK). Dr.Bi’s research focuses on the area of mergers & acquisitions, institutional investors and managerial teams. He has published in leading national and international financial journals, and acts as a Principle Investigator for a Provincial Natural Science Funding project. His research has also been featured in the practitioner press, namely Financial Times (Chinese), Financial Times Investment Advisor, China Business Journal, and Journal of Investor Relations. 

Dr. Bi also has rich industry experience, and works closely with securities companies and asset management companies in China on various consulting projects, especially on Chinese SME’s private placement bond issuing, asset backed security (ABS), IPO and mergers & acquisitions. Dr. Bi and his team also focus on quantitative trading strategies, as well as big data/ AI and its applications in corporate finance.

Research Interests

  • Mergers & Acquisitions
  • Financial Advisors
  • Institutional Investors
  • Managerial Teams
  • Corporate Finance
  • Machine Learning/ AI and its application in Corporate Finance

Professional Information

Patents/Copyrights

  1. Software copyright: AI-driven Investment Banking Decision System, 2021, Copyright Protect Center of China (中国版权保护中心)

Best Paper Awards

  1. "Make a promise: valuation adjustment mechnasim in Chinese Mergers & Acquisitions", Paper presented at the 2018 Chinese Academy of Management Annual Meeting, November 3-4, Hangzhou, China.
  2. "The value of financial advisors in private acquisitons: new evidence from Chinese M&As", Paper presented at the 2017 Asian Finance Association Conference, July 6-8, Seoul, Korea.
  3. "Expropriation and Chinese Mergers & Acquisitions", Paper presented at the 2016 Chinese Academy of Management Annual Meeting (中国管理学年会), September 28-30, Harbin Institute of Technology, Harbin, China.

Teaching

Undergraduate

  • Financial Management
  • Computational Finance
  • Corporate Finance

Postgraduate

  • Capital Market Analysis
  • Advanced Corporate Finance (PhD module)
  • Developing Management Research (PhD module)