Hadi Movaghari

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ORCID iDhttps://orcid.org/0000-0001-6648-187X

Research title: Application of machine learning in corporate cash holdings

Research Summary

Hadi is a full-time PhD student in Finance, funded by CoSS Scolarship. He studies applications of advanced causal machine learning methods in finance, especially in corporate liquidity management.

 

 

Publications

  • Elyasiani, E., and Movaghari, H. (2021). Determinants of Corporate Cash Holdings: An Application of robust variable selection technique, FMA’s European Conference, Limassol, Cyprus.
  • Sohrabi, N., & Movaghari, H. (2020). Reliable factors of Capital structure: Stability selection approach. The Quarterly Review of Economics and Finance, 77, 296-310.
  • Elyasiani, E., Jia, J. and Movaghari, H. (2019). Determinants of Dividend Payout and Dividend Propensity in an Emerging Market, Iran: An Application of the LASSO, Applied Economics, 51(42), 4576-4596.

Supervisors

Grants

2020-Present College of Social Science Scholarship, University of Glasgow, UK

Conference

  • Movaghari, H., Sermpinis, G., Tsoukas, S., Vagenas-Nanos, E. (2023). Corporate cash policy and double machine learning, 1st Finance and Business Analytics Conference, Lefkada, Greece.

  • Movaghari, H., Sermpinis, G., Tsoukas, S., Vagenas-Nanos, E. (2022). Corporate cash policy and double machine learning, 53rd Annual Conference of the Money, Macro and Finance, Canterbury, UK.
  • Elyasiani, E., and Movaghari, H. (2021). Determinants of Corporate Cash Holdings: An application of robust variable selection technique, FMA’s European Conference, Limassol, Cyprus.
  • Fayyaz-Heydari, K. and Movaghari, H. (2014). Customer Satisfaction Index of Students at Payame Noor University of Guilan Province, The 7th Statistical Conference, Payame Noor University, Tehran, Iran.
  • Fayyaz-Heydari, K. and Movaghari, H. (2012). Over-fitting and under-fitting in variable selection, The 11th Statistical Conference, Iran University of Science & Technology, Tehran, Iran.

Teaching

2022-2023: Adam Smith Business School, University of Glasgow, UK

  • Level / Subject: Graduate / Finance

  • Course(s): 

    Data Science and Machine Learning in Finance (ACCFIN5246)
    Advances in Machine Learning in Finance (ACCFIN5229)
    Artificial Intelligence in Finance (ACCFIN5230)

Additional Information

Hadi was awarded his MSc and BSc degrees in Statistics in Tarbiat Modares University, and Razi University, respectively, in Iran. Hadi also has about ten-year experience as statistical expert in public and private sectors, in Iran.


Hadi Movaghari