Professor Dimitris Korobilis

Professor of Econometrics (Economics)

telephone: +44 (0)141 330 2000 (ext. 0635)
email: Dimitris.Korobilis@glasgow.ac.uk

Adam Smith Business School, Room 405A, Gilbert Scott Building (West Quadrangle), G12 8QQ, Glasgow

Biography

Dimitris Korobilis (PhD Strathclyde, 2010) is Professor of Econometrics at the Adam Smith Business School. Before joining Glasgow he was Professor of Finance at Essex Business School, University of Essex.

He works in the area of applied statistical inference using economic and financial data. Recent research involves the development of machine learning algorithms for high-dimensional inference in macroeconomic models with large datasets; research that has been published in Journal of Econometrics and Journal of Business & Economic Statistics, among other journals. His models have been used extensively by policy-making institutions to monitor financial conditions (International Monetary Fund) and to forecast inflation (European Central Bank). He has been a consultant for major international institutions and government, and he delivers regularly specialized training in central banks on topics related to statistical inference that supports policy decision-making.

Dimitris is the director of the MSc in Data Analytics for Economics and Finance. He is also teaching at, and co-ordinating the annual ASBS Summer School in Empirical Macroeconomics. He is the alternate lead of the macroeconomics research cluster of the Adam Smith Business School. Finally, he is the organiser of the Econometrics Seminar Series.

Personal website

Research interests

Dimitris is the alternate lead of the School's Macroeconomics research cluster.

Areas of expertise:

Macroeconometrics; Time-series Analysis; Forecasting
Bayesian statistics; Machine Learning; High-dimensional Models; Text Analytics
News and Business Cycles; Monetary policy; Macroeconomic Uncertainty

Publications

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Number of items: 37.

2025

Puthiya Parambath, S. , LI, W., Anagnostopoulos, C. and Korobilis, D. (2025) CluE: Cluster, Sample & Eliminate - Bayesian Block Elimination for Pure Exploration with Non-binary Rewards and Limited Budget. In: IEEE ICDCS 2025 45th IEEE International Conference on Distributed Computing Systems, Glasgow, Scotland UK, 20-23 July 2025, (Accepted for Publication)

2024

Korobilis, D. and Schröder, M. (2024) Probabilistic quantile factor analysis. Journal of Business and Economic Statistics, (doi: 10.1080/07350015.2024.2396956) (Early Online Publication)

Korobilis, D. and Schröder, M. (2024) Monitoring multi-country macroeconomic risk: a quantile factor-augmented vector autoregressive (QFAVAR) approach. Journal of Econometrics, (doi: 10.1016/j.jeconom.2024.105730) (Early Online Publication)

Koop, G., Korobilis, D. and Ravazzolo, F. (2024) Editorial introduction of the special issue of the Studies in Nonlinear Dynamics and Econometrics in honor of Herman van Dijk. Studies in Nonlinear Dynamics and Econometrics, 28(2), pp. 151-153. (doi: 10.1515/snde-2024-0024)

2023

Koop, G. and Korobilis, D. (2023) Bayesian dynamic variable selection in high dimensions. International Economic Review, 64(3), pp. 1047-1074. (doi: 10.1111/iere.12623)

Korobilis, D. and Montoya-Blandón, S. (2023) Discussion of “multivariate dynamic modeling for Bayesian forecasting of business revenue”. Applied Stochastic Models in Business and Industry, 39(3), pp. 315-317. (doi: 10.1002/asmb.2753)

2022

Korobilis, D. (2022) A new algorithm for structural restrictions in Bayesian vector autoregressions. European Economic Review, 148, 104241. (doi: 10.1016/j.euroecorev.2022.104241)

Baumeister, C., Korobilis, D. and Lee, T. (2022) Energy markets and global economic conditions. Review of Economics and Statistics, 104(4), pp. 828-844. (doi: 10.1162/rest_a_00977)

Korobilis, D. and Shimizu, K. (2022) Bayesian approaches to shrinkage and sparse estimation. Foundations and Trends in Econometrics, 11(4), pp. 230-354. (doi: 10.1561/0800000041)

Gambetti, L., Görtz, C., Korobilis, D. , Tsoukalas, J. D. and Zanetti, F. (2022) The effect of news shocks and monetary policy. In: Dolado, Juan J., Gambetti, Luca and Matthes, Christian (eds.) Essays in Honour of Fabio Canova (Advances in Econometrics, Vol. 44A). Emerald, pp. 139-164. ISBN 9781803826363 (doi: 10.1108/S0731-90532022000044A005)

2021

Korobilis, D. (2021) High-dimensional macroeconomic forecasting using message passing algorithms. Journal of Business and Economic Statistics, 39(2), pp. 493-504. (doi: 10.1080/07350015.2019.1677472)

2020

Korobilis, D. and Pettenuzzo, D. (2020) Machine Learning Econometrics: Bayesian algorithms and methods. In: Hamilton, Jonathan H., Dixit, Avinash, Edwards, Sebastian and Judd, Kenneth (eds.) Oxford Research Encyclopedia of Economics and Finance. Series: Oxford Research Encyclopedias. Oxford University Press. ISBN 9780190625979 (doi: 10.1093/acrefore/9780190625979.013.588)

Beckkmann, J., Koop, G., Korobilis, D. and Schuessler, R. A. (2020) Exchange rate predictability and dynamic Bayesian learning. Journal of Applied Econometrics, 35(4), pp. 410-421. (doi: 10.1002/jae.2761)

2019

Koop, G. and Korobilis, D. (2019) Forecasting with high-dimensional panel VARs. Oxford Bulletin of Economics and Statistics, 81(5), pp. 937-959. (doi: 10.1111/obes.12303)

Byrne, J. P., Cao, S. and Korobilis, D. (2019) Decomposing global yield curve co-movement. Journal of Banking and Finance, 106, pp. 500-513. (doi: 10.1016/j.jbankfin.2019.07.018)

Korobilis, D. and Pettenuzzo, D. (2019) Adaptive hierarchical priors for high-dimensional vector autoregressions. Journal of Econometrics, 212(1), pp. 241-271. (doi: 10.1016/j.jeconom.2019.04.029)

Koop, G., Korobilis, D. and Pettenuzzo, D. (2019) Bayesian compressed vector autoregressions. Journal of Econometrics, 210(1), pp. 135-154. (doi: 10.1016/j.jeconom.2018.11.009)

2018

Byrne, J. P., Korobilis, D. and Ribeiro, P. J. (2018) On the sources of uncertainty in exchange rate predictability. International Economic Review, 59(1), pp. 329-357. (doi: 10.1111/iere.12271)

2017

Byrne, J. P., Cao, S. and Korobilis, D. (2017) Forecasting the term structure of government bond yields in unstable environments. Journal of Empirical Finance, 44, pp. 209-225. (doi: 10.1016/j.jempfin.2017.09.004)

Korobilis, D. (2017) Quantile regression forecasts of inflation under model uncertainty. International Journal of Forecasting, 33(1), pp. 11-20. (doi: 10.1016/j.ijforecast.2016.07.005)

2016

Korobilis, D. (2016) Prior selection for panel vector autoregressions. Computational Statistics and Data Analysis, 101, pp. 110-120. (doi: 10.1016/j.csda.2016.02.011)

Byrne, J., Korobilis, D. and Ribeiro, P. J. (2016) Exchange rate predictability in a changing world. Journal of International Money and Finance, 62, pp. 1-24. (doi: 10.1016/j.jimonfin.2015.12.001)

Koop, G. and Korobilis, D. (2016) Model uncertainty in panel vector autoregressive models. European Economic Review, 81, pp. 115-131. (doi: 10.1016/j.euroecorev.2015.09.006)

2015

Bauwens, L., Koop, G., Korobilis, D. and Rombouts, J. V.K. (2015) The contribution of structural break models to forecasting macroeconomic series. Journal of Applied Econometrics, 30(4), pp. 596-620. (doi: 10.1002/jae.2387)

2014

Koop, G. and Korobilis, D. (2014) A new index of financial conditions. European Economic Review, 71, pp. 101-116. (doi: 10.1016/j.euroecorev.2014.07.002)

Belmonte, M. A. G., Koop, G. and Korobilis, D. (2014) Hierarchical shrinkage in time-varying parameter models. Journal of Forecasting, 33(1), pp. 80-94. (doi: 10.1002/for.2276)

2013

Korobilis, D. (2013) Assessing the transmission of monetary policy using time-varying parameter dynamic factor models. Oxford Bulletin of Economics and Statistics, 75(2), pp. 157-179. (doi: 10.1111/j.1468-0084.2011.00687.x)

Korobilis, D. (2013) Bayesian forecasting with highly correlated predictors. Economics Letters, 18(1), pp. 148-150. (doi: 10.1016/j.econlet.2012.10.003)

Bauwens, L. and Korobilis, D. (2013) Bayesian methods. In: Hashimzade, N. and Thornton, M.A. (eds.) Handbook of Empirical Methods in Macroeconomics. Edward Elgar Publishing: Cheltenham, pp. 363-380. ISBN 9780857931016

Koop, G. and Korobilis, D. (2013) Large Time-Varying Parameter VARs. Journal of Econometrics, 177(2), pp. 185-198. (doi: 10.1016/j.jeconom.2013.04.007)

Korobilis, D. (2013) Hierarchical shrinkage priors for dynamic regressions with many predictors. International Journal of Forecasting, 29(1), (doi: 10.1016/j.ijforecast.2012.05.006)

2012

Koop, G. and Korobilis, D. (2012) Forecasting inflation using dynamic model averaging. International Economic Review, 53(3), pp. 867-886. (doi: 10.1111/j.1468-2354.2012.00704.x)

Korobilis, D. and Gilmartin, M. (2012) On regional unemployment: an empirical examination of the determinants of geographical differentials in the UK. Scottish Journal of Political Economy, 59(2), pp. 179-195. (doi: 10.1111/j.1467-9485.2011.00575.x)

2011

Koop, G. and Korobilis, D. (2011) UK macroeconomic forecasting with many predictors: which models forecast best and when do they do so? Economic Modelling, 28(5), pp. 2307-2318. (doi: 10.1016/j.econmod.2011.04.008)

Korobilis, D. (2011) VAR forecasting using Bayesian variable selection. Journal of Applied Econometrics, 28(2), pp. 204-230. (doi: 10.1002/jae.1271)

2010

Koop, G. and Korobilis, D. (2010) Bayesian multivariate time series methods for empirical macroeconomics. Foundations and Trends in Econometrics, 3(4), pp. 267-358. (doi: 10.1561/0800000013)

2008

Korobilis, D. (2008) Forecasting in vector autoregressions with many predictors. Advances in Econometrics(23), pp. 403-431. (doi: 10.1016/S0731-9053(08)23012-4)

This list was generated on Thu Apr 24 18:21:54 2025 BST.

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