Skip to main navigation Skip to search Skip to main content
Kleanthis Natsiopoulos

View Scopus Profile

Natsiopoulos, Kleanthis

Mr

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

Accepting PhD Students

PhD projects

I am keen to supervise PhD students with interests in Econometrics, Time-Series Analysis, and quantitative methods applied to Economics and Finance, including topics such as dynamic modelling, cointegration, ARDL and error-correction models, and macro-financial relationships.<br/><br/>While a solid foundation in statistics and econometrics is essential, I particularly welcome candidates who are curious about computational approaches to research. Experience with R, Python, or Julia is an advantage but not a prerequisite; motivation to engage seriously with data, code, and methodological detail is far more important.<br/><br/>I welcome student-proposed research topics and value independence, creativity, and methodological rigor, aiming to provide a supportive but research-driven supervision environment that prepares students for academic or quantitative research careers.

20182025

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, an M.Sc. in Statistics from the Athens University of Economics and Business, Greece, and a Ph.D. in Econometrics and Computational Statistics from the University of Thessaly, Greece.

In his previous roles, Kleanthis worked for 4 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, machine learning, simulation, and software development. His work has been applied in practice by financial institutions, governmental organizations, and international policy bodies. He is also the developer of the ARDL R package, widely used for replicable econometric analysis.

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/ECM models and the bounds test for cointegration.

Reviewer

  • International Journal of Finance & Economics
  • Economic Modelling
  • Studies in Microeconomics
  • PNAS Nexus
  • Journal of Chinese Economic and Business Studies

Editorial Advisory Board

  • Qualitative Research in Financial Markets

Research interests

  • Time-series econometrics and cointegration analysis
  • Autoregressive Distributed Lag (ARDL) models
  • Econometric inference
  • Replication and reproducibility in applied econometrics
  • Computational economics and simulation methods
  • Software development for econometrics (R)
  • Applied Financial Econometrics
  • Machine learning for economics and finance

Teaching

  • Econometrics for Finance (5EF/BU52017)
  • Fintech in Accounting and Finance module (BU32011)
  • Quantitative Methods (5QM/BU52016)
  • Research Methods (5RM/BU52015)
  • Research Methods in Accounting & Finance (3RM/BU32003)
  • Contemporary Issues in Finance (5CIF/BU51035)
  • Professional Financial Management (5PFM/BU53001)

Education/Academic qualification

PGCert THE, Postgraduate Certificate in Academic Practice in Higher Education (PGCAPHE) - Associate Fellow of the HEA (AFHEA)

2024 → 2025

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

2019 → 2025

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

2016 → 2018

Bachelor of Science, Economics, University of Thessaly

2011 → 2015

Keywords

  • HA Statistics
  • Econometrics
  • Time Series
  • ARDL
  • ECM
  • Economic Modeling
  • Simulations
  • Machine Learning
  • HG Finance

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):

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Fingerprint

Dive into the research topics where Kleanthis Natsiopoulos is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles
View full fingerprint

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Explore network further
  • 3 Article
  • 2 Conference contribution
  • 1 Abstract
View all 6 research outputs
  • 4 Participation in conference
  • 3 Invited talk
View all 7 activity