Dr. Yifan Li

Assistant Professor

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Biography

Yifan Li joined Alliance Manchester Business School as a Lecturer in Finance in 2018. His research mainly lies in the field of econometric theory and its applications in finance. His work includes the analysis of high-frequency data using alternative sampling schemes and functionals, high-frequency option data, non-parametric moment estimators, market microstructure, and the impact of news on financial markets. Yifan's interests strongly focus on high-frequency financial econometrics, particularly inference of prices through alternative sampling schemes. He holds an MRes and a PhD in Finance from Lancaster University and serves as an external researcher at the Centre for Financial Econometrics, Asset Markets, and Macroeconomic Policy. Yifan is also involved in supervising PhD students in financial econometrics with topics related to high-frequency data and alternative sampling methods. His notable teaching courses include Investment Analysis and Time Series Econometrics.

Research Interests

Experience

Senior Lecturer

2018-01-01 — Present

Alliance Manchester Business School • Manchester

Lecturer in Finance focusing on econometric theory applications.

Courses

BMAN20072 Investment Analysis BMAN74231 Review Quantitative Methods Finance BMAN74050 Introduction MATLAB BMAN71122 Time Series Econometrics

Requirements for University of Manchester

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a relevant engineering or science subject Strong background in mathematics and physics
Application Checklist
  • Academic transcripts
  • Two academic references
  • Personal statement
  • CV/Resume
  • English language proficiency certificate
Specialization Notes

Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.