Yiannis Karavias

Yiannis Karavias

The Department of Economics
Associate Professor in Financial Economics

Contact details

Telephone
+44 (0)121 415 8214
Email
i.karavias@bham.ac.uk
View my research portal
Address
Department of Economics
University House
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Dr Ioannis Karavias joined the Department of Economics in September 2015 as an Assistant Professor in Financial Economics. Prior to comiing to Birmingham he held a post-doctoral research fellowship at the School of Economics in the University of Nottingham. He received his Ph.D. from the Athens University of Economics and Business. 

Dr Karavias' research area is econometrics, in particular panel data econometrics and their applications in economic growth, banking, financial stablity and corporate finance.

Methodological interests include nonlinear panel data and time series models, structural change, nonstationarity, optimal hypothesis testing and heteroscedasticity and autocorrelation robust inference.

Qualifications

  • Ph.D. in Economics: Athens University of Economics and Business, 2012
    Thesis title: Unit Root Tests and Structural Breaks in Panel Data 
  • M.Sc. in Financial Mathematics and Quantitative Methods: Athens University of Economics and Business, 2007 
  • B.Sc. in Mathematics: University of Athens, 2006 
  • Postgraduate Certificate in Academic Practice: University of Birmingham, 2017

Teaching

  • Econometrics (2nd year B.Sc)
  • Mathematical Statistics (2nd year B.Sc)
  • Econometrics (M.Sc)
  • Advanced Research Training in Econometrics (PhD)

Research

  • Primary: Econometric Theory, Dynamic Panel Data, Time Series 
  • Secondary: Macro-econometrics, Financial Econometrics

Publications

Recent publications

Article

Karavias, Y, Bandyopadhyay, S, Christie, C, Bradbury-Jones, C, Taylor, J, Kane, E & Flowe, HD 2023, 'Impact evaluation and economic benefit analysis of a domestic violence and abuse UK police intervention', Frontiers in Psychology, vol. 14, 1063701. https://doi.org/10.3389/fpsyg.2023.1063701

Xiao, J, Karavias, Y, Juodis, A, Sarafidis, V & Ditzen, J 2023, 'Improved tests for Granger noncausality in panel data', Stata Journal, vol. 23, no. 1, pp. 230-242. https://doi.org/10.1177/1536867X231162034

Karavias, Y, Tzavalis, E & Zhang, H 2022, 'Missing values in panel data unit root tests', Econometrics, vol. 10, no. 1, 12. https://doi.org/10.3390/econometrics10010012

Chen, P, Karavias, Y & Tzavalis, E 2022, 'Panel unit-root tests with structural breaks', Stata Journal, vol. 22, no. 3, pp. 664-678. https://doi.org/10.1177/1536867X221124541

Karavias, Y, Narayan, PK & Westerlund, J 2022, 'Structural breaks in interactive effects panels and the stock market reaction to COVID-19', Journal of Business & Economic Statistics. https://doi.org/10.1080/07350015.2022.2053690

Juodis, A, Karavias, Y & Sarafidis, V 2020, 'A homogeneous approach to testing for Granger non-causality in heterogeneous panels', Empirical Economics, vol. 2020, pp. 1-20. https://doi.org/10.1007/s00181-020-01970-9

Karavias, Y, Tzavalis, E & Spilioti, S 2020, 'Investor sentiment effects on share price deviations from their intrinsic values based on accounting fundamentals', Review of Quantitative Finance and Accounting. https://doi.org/10.1007/s11156-020-00937-2

Karavias, Y & Tzavalis, E 2019, 'Generalized fixed-T panel unit root tests', Scandinavian Journal of Statistics, vol. 46, no. 4, pp. 1227-1251. https://doi.org/10.1111/sjos.12392

Karavias, Y, Symeonides, S & Tzavalis, E 2018, 'Higher order expansions for error variance matrix estimates in the Gaussian AR(1) linear regression model', Statistics and Probability Letters, vol. 135, pp. 54-59. https://doi.org/10.1016/j.spl.2017.11.016

Karavias, Y & Tzavalis, E 2017, 'Local power of panel unit root tests allowing for structural breaks', Econometric Reviews, vol. 36, no. 10, pp. 1123-1156. https://doi.org/10.1080/07474938.2015.1059722

Karavias, Y, Tzavalis, E & Symeonides, S 2017, 'Size corrected significance tests in seemingly unrelated regressions with autocorrelated errors', Journal of Time Series Econometrics, vol. 9, no. 1. https://doi.org/10.1515/jtse-2015-0014

Chapter

Karavias, Y 2021, Structural breaks in financial panel data. in C-F Lee & AC Lee (eds), Encyclopedia of Finance. Living Edition edn, Springer Nature. https://doi.org/10.1007/978-3-030-73443-5_95-1

Book/Film/Article review

Karavias, Y 2016, 'Almost all about unit roots: foundations, developments, and applications, by In Choi. ', Journal of Time Series Analysis, vol. 37, no. 1, pp. 143-144. https://doi.org/10.1111/jtsa.12164

Other report

Flowe, H, Karavias, Y, Bandyopadhyay, S, Bradbury-Jones, C, Taylor, J & Kane, E 2022, The CARA (Cautioning and Relationship Abuse) Service: theory of change, impact evaluation and economic benefits study report. PsyArXiv. https://doi.org/10.31234/osf.io/jw9uy

Working paper

Juodis, A & Karavias, Y 2019 'Partially heterogeneous tests for Granger non-causality in panel data' Working Paper Series, no. 59/2019, No. 59 edn, Bank of Lithuania. <https://www.lb.lt/en/publications/no-59-arturas-juodis-yiannis-karavias-partially-heterogeneous-tests-for-granger-non-causality-in-panel-data>

View all publications in research portal