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Nesrine Mechri

Associate Professor at UCLy

8. Sustainable Business and Organisations

nmechri@univ-catholyon.fr

Campus Lyon - Saint Paul
10 Place des archives 69002 Lyon

Function

  • Teacher-researcher, ESDES - Finance Lyon Catholic University

Further information

Research areas

Management Sciences: Finance

Teaching areas

Market Finance Corporate Finance Financial Analysis Accounting Sciences de gestion Economy

Presentation

Nesrine MECHRI holds a Ph.D. in finance and is a member of the CONFLUENCE : Sciences et Humanités (EA 1598) research unit at the Lyon Catholic University. She is a lecturer-researcher in finance at ESDES Lyon Business School. Having obtained her Ph.D. in management sciences at the University Claude Bernard Lyon 1, she is interested in predicting stock markets and the sensitivity of macroeconomic and financial markets. Her thesis consists of 4 essays that have been (are being) published in several international scientific journals. She is interested in applying econometric models as well as artificial intelligence techniques to better understand the complex dynamics of contemporary financial markets.
  • Diplomas
    • 2023, Doctorat (PhD), Sciences de gestion, Finance, Comptabilité, Prédictions des marchés boursiers., Université Claude Bernard Lyon 1, France
  • Research professional experiences
    • Since 2023, Teacher-researcher, Institute for Sustainable Enterprise and Organisation, UR CONFLUENCE : Sciences et Humanités (EA 1598), UCLy, France
  • Pedagogical activities and responsabilities
    • Since 2023, Teacher-researcher, ESDES - Finance, UCLy, France
    • Since 2022, Teacher, CY Cergy Paris Université, France
    • Since 2021, Teacher-researcher, Université Bourgogne -Franche-Comté (UBFC), France
    • Since 2020, Teacher-researcher, Université Paris-Saclay (ex Paris-Sud), France
    • Since 2019, Teacher, Université Jean Moulin Lyon 3, France
    • Since 2018, Teacher, Ecole Centrale Lyon, France
    • Teaching
      • 2018 - 2023, Titre de la Thèse: Prévisions de la volatilité globale des marchés boursiers à l'aide de prédicateurs financiers et macroéconomiques: Une application des réseaux bayésiens., Université Claude Bernard Lyon 1, France
  • Languages
    • English - Capable d'enseigner
    • French - Capable d'enseigner