Sarva Jeganathan

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RESEARCH

Where code meets markets and classrooms.

My research bridges economics, finance, and applied AI to address real-world business and educational challenges — an interdisciplinary, practice-informed approach that connects strategic decision-making with technical tools like Python, econometrics, and machine learning.

Econometrics & Volatility Forecasting

Applied AI in Business & Education

Programming Education & Pedagogical Innovation

Operations Management & Decision Support Systems

PUBLICATIONS

2020

Factors that influence e-learning adoption by international students in Canada

Wong, A. and Jeganathan, S. — International Journal of Management in Education, Vol. 14, No. 5, pp. 453–470

2005

Distribution Management

Jeganathan, S., Dhameeth, S., Perera, N.K., Perera, N. — M&N Solutions, Sri Lanka (ISBN 955-1244-6-0)

IN PROGRESS

Impact of US news-based uncertainty on Canadian stock volatility

Building on DBA research in market volatility prediction using Python & GARCH-MIDAS

ONGOING PROJECTS

Forecasting financial volatility

Python and GARCH-MIDAS models for mixed-frequency volatility prediction in equity markets.

Gamified microeconomics

Web applications that teach economic theory through play — the research behind PlayEcon.

AI tutor for JavaScript fundamentals

A prototype AI tutor for programming education — live today on EduSarva.

Classroom performance dashboards

Data-driven dashboards for monitoring and improving classroom performance.

Interested in interdisciplinary work or co-developing applied tools? Let's collaborate.

Get in touch

Dr. Sarva Jeganathan, DBA, MBA, MPM · Professor of Business, Economics & Technology