Kleanthis Natsiopoulos

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Natsiopoulos, Kleanthis

Mr

 https://orcid.org/0000-0003-1180-2984

Accepting PhD Students

PhD projects

I’m happy to supervise PhD students who share my passion for Econometrics, Time-series analysis, and applying quantitative methods in Economics and Finance.

I welcome candidates with a passion for research, economics, finance, and quantitative methods. While basic knowledge of statistics and econometrics is essential, experience with R, Python, or Julia would be a great advantage (though not mandatory).

I’m open to supervising a wide range of topics in economics and finance proposed by candidates. Alternatively, you could collaborate on projects I’m currently working on, especially those involving ARDL models and Cointegration analysis.

Calculated based on number of publications stored in Pure and citations from Scopus
20182023

Research activity per year

Personal profile

Biography

Kleanthis Natsipoulos is a Lecturer in Accounting and Finance at the University of Dundee School of Business, having joined in January 2024. He holds a B.Sc. in Economics from the University of Thessaly, Greece, and an M.Sc. in Statistics from the Athens University of Economics and Business, Greece. Additionally, his Ph.D. is in econometrics and computational statistics from the University of Thessaly, Greece.

In his previous roles, Kleanthis worked for more than 3 years as a data scientist in the oil and shipping industry, and in market research. During this time, he specialized in developing predictive models for global supply-demand systems and implementing complex algorithms based on microeconomic methodologies, utilizing statistical and machine learning techniques.

Kleanthis' research interests are centered around econometrics, with a particular emphasis on time-series and cointegration analysis, computational microeconomics, and machine learning. Feel free to reach out if you're interested in potential collaborations!

Research

Research Projects

Kleanthis is the creator of the R package ARDL. An R package for the construction of complex ARDL models and the bounds test for cointegration.

Reviewer

  • International Journal of Finance & Economics
  • Economic Modelling
  • Studies in Microeconomics

Research interests

  • Time-series econometrics and cointegration analysis
  • Autoregressive Distributed Lag (ARDL) models
  • Package development in R
  • Computational microeconomics
  • Machine learning economic applications
  • Financial Applications

Teaching

  • Quantitative Methods (5QM/BU52016)
  • Econometrics for Finance (5EF/BU52017)
  • Research Methods (5RM/BU52015)
  • Professional Financial Management (5PFM/BU53001)
  • Contemporary Issues in Finance (5CIF/BU51035)

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 8 - Decent Work and Economic Growth
  • SDG 10 - Reduced Inequalities

Education/Academic qualification

Master in Science, Statistics, Athens University of Economics and Business

2016 → 2018

Bachelor of Science, Economics, University of Thessaly

2011 → 2015

Doctor of Philosophy, Computational Statistics and Econometrics. Economic Applications and Model Development in R-Language

2019 → …

Keywords

  • HA Statistics
  • Econometrics
  • Time Series
  • ARDL
  • Machine Learning

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Collaborations and top research areas from the last five years

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  • 3 Article
  • 1 Conference contribution