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Xi Li

Lecturer in Finance

Xi Li

Specialisms

  • Mergers and acquisitions, 
  • Fintech innovation, 
  • Blockchain technology

Location

ICMA Centre, Whiteknights Campus

Dr Xi Li is a Lecturer in Finance at the ICMA Centre, part of the University of Reading.

Xi Li holds a PhD in Accounting and Finance from Durham University and an MSc in Financial Engineering from the University of Southern California. Her research interests cover a wide range of topics, such as fintech innovation, blockchain technology, and corporate finance.

Xi has articles published and in prestigious journals, including Management Science, The British Accounting Review and Quantitative Finance. Throughout her academic career, she has participated in numerous research projects funded by the National Social Sciences Foundation of China and the Ministry of Education, Humanities and Social Sciences.

Her work has been presented at various international conferences, earning several best paper awards and garnering attention and recognition within the industry.

Reference: Cong, W. L., Li, X. , Tang, K. and Yang, Y. (2023) Crypto wash trading. Management Science, 69 (11). pp. 6427-6454. ISSN 1526-5501 doi: https://doi.org/10.1287/mnsc.2021.02709
Henley faculty authors:
Xi Li

Introductory Economics for Business and Finance

An introduction to economics for students of business and finance. The module aims to provide an introduction to both microeconomics and macroeconomics sufficient to help students of business and finance...

Module code: IC103

2021: Crypto Wash Trading

  • Best Paper Award, Asseth-Kaiko Prize for Research in Cryptoeconomics
  • Best Paper Award, Crypto and Blockchain Economic Research Conference
  • Best Paper Award, 17th Annual Conference of the Asia-Pacific Association of Derivatives
  • Best Paper Award, ML Conference: “Human Sovereignty and Machine Efficiency in the Law”
  • Best Paper Award, Semi-finalist, FMA (Financial Management Association) conference

2015: Social Connection, Reference Point and M&A performance

  • Best Paper Prize, Behavioral Finance Working Group Conference