Jingrui Li (jli264)

Jingrui Li

Assistant Professor of Fintech

Bio

Jingrui (Victoria) Li has been working as a visiting assistant professor of finance at Tulane University’s Freeman School of Business. Her areas of interest are asset pricing, fintech, investments and derivatives. She has been published in the Journal of Banking and Finance and Financial Review. Her research papers have won various awards, including the Wiley Top Cited Article Award and FMA Best Paper Award in Investments (Semifinal). In addition, she has presented her research at conferences such as American Finance Association Annual Meetings and Financial Management Association Annual Meetings. She has a PhD in finance from West Virginia University.

Education

  • PhD (2019) West Virginia University (Finance)

Research

Selected Working Papers

Margin Rules (with Kose John, Apoorva Koticha, Ranga Narayanan, and Marti G. Subrahmanyam)
Bitcoin Prices (with Kose John) Russia-Ukraine Conflict (with Kose John and Alexander Kurov)
Limits to Arbitrage (with Kose John)Machine Learning: Application to the Financial Market

Appointments

Stevens Institute of Technology, School of Business
Assistant Professor (tenure-track) in FinTech
Sep 2022 — Present

Affiliate, CRAFT FinTech Center
Sep 2022 — Present

Tulane University, A. B. Freeman School of Business
Visiting Assistant Professor of Finance
Jul 2019 — Jun 2022

Honors and Awards

WILEY Top Cited Article Award (2020-2021)
March 2022

Member of the Honor Society of Phi Kappa Phi
February 2019

FMA Best Paper Award in Investments, Semifinalist
July 2018


Professional Societies

  • EFA – European Finance Association Fellow
  • SoFiE – SoFiE The Society for Financial Econometrics Fellow
  • WFA – Western Finance Association Member
  • AFA – American Finance Association Member
  • EFA – Eastern Finance Association Fellow
  • FMA – Financial Management Association Member
  • MFA – Midwest Finance Association Member

Grants, Contracts and Funds

AFA 2018 Student Travel Grant
August 2017

Selected Publications

Book Chapter

  1. Li, J. (2020). Does VIX Truly Measure Return Volatility?. Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning (pp. 1533-1559). Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning.

Journal Article

  1. Li, J. (2022). Persistence of Jump-Induced Tail Risk and Limits to Arbitrage.

     Quantitative Finance (2151502 ed.) Taylor and Francis Ltd.

  2. Li, J. (2021). COVID-19, Volatility Dynamics, and Sentiment Trading. Journal of Banking and Finance (106162 ed.). Elsevier, North-Holland.

  3. Li, J. (2020). Decomposing the VIX: Implications for the Predictability of Stock Returns. The Financial Review (Vol. 55, Issue 4). Wiley-Blackwell

Courses

Courses Taught at School of Business, Stevens Institute of Technology
FA 595 Financial Systems Technology (FinTech)
(Graduate students and advanced undergraduate students)
Spring 2022 (scheduled)
QF 430 Introduction to Derivatives (Advanced undergraduate students)
Fall 2022

Courses Taught at Freeman School of Business, Tulane University
FINE 7180 Financial Modeling
(Graduate students from MS Finance, MS Accounting, MS Business Analytics, MBA,
PMBA, and JD/MBA programs)
Fall 2019, Spring 2020, Fall 2020, Spring 2021, Summer 2021, Fall 2021
FINE 4170 Financial Modeling (Advanced undergraduate students)
Fall 2019, Fall 2020, Fall 2021

Courses Taught at College of Business & Econ, West Virginia University
FIN 330 Financial Markets and Institutions (Advanced undergraduate students)
Fall 2016, Spring 2017, Fall 2017, Spring 2019
FIN 310 Investments (Advanced undergraduate students)
Spring 2018, Fall 2018
BUSA 340 Survey of Finance (Online; Advanced undergraduate students)
Summer 2018