RL Shankar | Weatherhead School at Case Western Reserve University
RL Shankar - Assistant Professor, Banking and Finance

Faculty – RL Shankar

Assistant Professor, Banking and Finance

lxr225@case.edu
216.368.6934
Peter B. Lewis Building 323
Office Hours: By Appointment Only

Lakshmi Shankar Ramachandran (aka R. L. Shankar), PhD, assistant professor of banking and finance, joined Weatherhead School of Management in 2018. He earned his PhD in Finance from EdHEC, MS in Computational Finance from Carnegie Mellon University, and Bachelors of Technology from IIT (Indian Institute of Technology), Madras.

Dr. Shankar‘s primary research interest lies in the areas of Empirical Asset Pricing, FinTech, and Applications of Machine Learning & Deep Learning. His papers have appeared, among other journals, in the Journal of Financial Economics (JFE). His research work focuses on the pricing of contingent claims in imperfect markets, market microstructure, and algorithmic trading. He has received several prestigious research grants, including the inaugural grant for capital markets instituted by New York University and the National Stock Exchange of India.

Shankar teaches graduate-level courses on Artificial Intelligence, Blockchain Technology, FinTech, Quantitative Risk Modeling, and Corporate Risk Management. Over the past ten years, he also has established himself as a successful knowledge partner for leading enterprises. To date, he has trained over a thousand executives; his clientele includes Bank of America, Standard Chartered Bank, Barclays, World Bank, IHS Markit, and other leading businesses.

Shankar received the Weatherhead Graduate Faculty Teaching Excellence Award for 2020. In its citation for the "40-under-40 inspiring educators" award, a newspaper in India referred to Shankar as "The Professional Simplifier" due to his talent for keeping lessons simple, straightforward, and engaging.

A highly articulate speaker with a passion for knowledge dissemination, Dr. Shankar has been both a keynote and an invited speaker at several leading international seminars and conferences. In his well-received TEDx talk on Algorithmic Trading, Shankar vividly explained how algorithms have taken over trading in global financial markets.

Initially Appointed: 2018

Interests and Courses

Research

Empirical Asset Pricing, FinTech, and Applications of Machine Learning & Deep Learning

Teaching

Artificial Intelligence, Blockchain Technologies, FinTech, Financial Derivatives, Risk Management, and Quantitative Modeling

Recent Courses and Syllabi

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Selected Publications

  • Ramachandran, L. S., Tayal, J.
    Mispricing, short-sale constraints, and the cross-section of option returns   Journal of Financial Economics (Forthcoming).

Awards

  • Weatherhead Graduate Faculty Teaching Excellence Award, (2020).