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Maria Pacurar

Associate Professor of Finance; Vice Chair of Senate, Student Affairs

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Email: Maria.Pacurar@dal.ca
Phone: 902-494-3928
Fax: 902-494-1107
Mailing Address: 
Kenneth C. Rowe Management Building
6100 University Ave, Room 4088
Halifax, Nova Scotia, Canada B3H 4R2

 
Research Topics:
  • ACD models
  • High-frequency data
  • Market microstructure
  • Financial markets
  • Financial risk assessment
  • Asset pricing
  • FinTech

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Education

  • PhD (HEC Montréal)
  • MBA (IAE Nantes/ESFAM)
  • BEc (Babes-Bolyai University, Romania)

1Current Teaching

  • Ìý Introduction to FinTech
  • Ìý Financial Institutions
  • Ìý Foundations of Fintech
  • Ìý Global Markets & Institutions

Research Interests

Dr. Pacurar’s research focuses on the use of high-frequency financial data for intraday risk measurement, market microstructure analysis and multi-market trading.

Selected Awards and Honours

  • 2015Ìý A. Gordon Archibald Teaching Excellence Award
  • 2015Ìý Rowe Research Grant
  • 2009ÌýÌýFaculty of Management Teaching Excellence Award
  • 2007ÌýÌý2006 Mercure Award for the best doctoral thesis at HEC Montréal
  • 2006ÌýÌýBank of Canada Award for Best Canadian Financial Market Paper at the 2006 Northern Finance Association Conference (with Georges Dionne and Pierre Duchesne)

Selected Publications

  • Factor investing and risk management: Is smart-beta diversification smart? Nazaire, G., Pacurar, M., & Sy, O. Finance Research Letters, 41, 101854Ìý (2021)
  • Betas versus characteristics: A practical perspectiveÌý Nazaire, G., Pacurar, M., & Sy, O. European Financial Management 26, 1385-1413Ìý (2020)
  • Liquidity-adjusted intraday value-at-risk modeling and risk management: An application to data from Deutsche BörseÌý Dionne, G., Pacurar, M. & Zhou, X.Ìý Journal of Banking and Finance 59, 202-219Ìý (2015)
  • Intraday value-at-risk (IVaR) using tick-by-tick data with application to the Toronto Stock ExchangeÌýÌýDionne, G., Duchesne, P. & Pacurar, M.Ìý Journal of Empirical Finance 16(5), 777-792Ìý (2009)
  • Autoregressive conditional duration (ACD) models in finance: A survey of the theoretical and empirical literatureÌý Pacurar, M.Ìý Journal of Economic Surveys 22(4), 711-751Ìý (2008)