Ella Elazkany

Dr. Ella Elazkany’s research focuses on understanding how asset prices behave under different forms of financial risk including models that incorporate jumps, default events and other sources of uncertainty. She works with tools from mathematical finance, probability, statistics and machine learning to study how markets evolve and how risk can be measured more effectively. She is interested in both theoretical and empirical perspectives especially where modelling choices intersect with real financial data. Her work also touches on credit risk and the broader role of quantitative methods in modern finance. She enjoys exploring how new data‑driven approaches and modelling techniques can deepen our understanding of financial markets and support better decision‑making. | Asset pricing, financial engineering, mathematical finance, risk management, empirical finance, financial risk, stochastic processes, machine learning in finance, financial econometrics, default risk

Ella Elazkany is Assistant Professor at MacEwan University. Their stated interests include Dr. Ella Elazkany’s research focuses on understanding how asset prices behave under different forms of financial risk including models that incorporate jumps, default events and other sources of uncertainty. She works with tools from mathematical finance, probability, statistics and machine learning to study how markets evolve and how risk can be measured more effectively. She is interested in both theoretical and empirical perspectives especially where modelling choices intersect with real financial data. Her work also touches on credit risk and the broader role of quantitative methods in modern finance. She enjoys exploring how new data‑driven approaches and modelling techniques can deepen. This summary considered all 2 collected sources.