Georgios Sermpinis
Personal Details
First Name: | Georgios |
Middle Name: | |
Last Name: | Sermpinis |
Suffix: | |
RePEc Short-ID: | pse684 |
[This author has chosen not to make the email address public] | |
Affiliation
Department of Accounting and Finance
Adam Smith Business School
University of Glasgow
Glasgow, United Kingdomhttp://www.gla.ac.uk/subjects/accountingfinance/
RePEc:edi:dfglauk (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Xiaotong Sun & Charalampos Stasinakis & Georgios Sermpinis, 2022. "Liquidity Risks in Lending Protocols: Evidence from Aave Protocol," Papers 2206.11973, arXiv.org, revised Apr 2023.
- Xiaotong Sun & Charalampos Stasinakis & Georigios Sermpinis, 2022.
"Decentralization illusion in Decentralized Finance: Evidence from tokenized voting in MakerDAO polls,"
Papers
2203.16612, arXiv.org, revised Mar 2023.
- Sun, Xiaotong & Stasinakis, Charalampos & Sermpinis, Georgios, 2024. "Decentralization illusion in Decentralized Finance: Evidence from tokenized voting in MakerDAO polls," Journal of Financial Stability, Elsevier, vol. 73(C).
- Xiaotong Sun & Xi Chen & Charalampos Stasinakis & Georgios Sermpinis, 2022. "Voter Coalitions and democracy in Decentralized Finance: Evidence from MakerDAO," Papers 2210.11203, arXiv.org, revised Jun 2023.
- Wei Li & Florentina Paraschiv & Georgios Sermpinis, 2021.
"A Data-driven Explainable Case-based Reasoning Approach for Financial Risk Detection,"
Papers
2107.08808, arXiv.org.
- Wei Li & Florentina Paraschiv & Georgios Sermpinis, 2022. "A data-driven explainable case-based reasoning approach for financial risk detection," Quantitative Finance, Taylor & Francis Journals, vol. 22(12), pages 2257-2274, December.
- Li, Wei & Paraschiv, Florentina & Sermpinis, Georgios, 2021. "A data-driven explainable case-based reasoning approach for financial risk detection," IRTG 1792 Discussion Papers 2021-010, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020.
"Forecasting: theory and practice,"
Papers
2012.03854, arXiv.org, revised Jan 2022.
- Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
- Georgios Sermpinis & Arman Hassanniakalager & Charalampos Stasinakis & Ioannis Psaradellis, 2018. "Technical Analysis and Discrete False Discovery Rate: Evidence from MSCI Indices," Papers 1811.06766, arXiv.org, revised Jun 2019.
Articles
- Movaghari, Hadi & Serletis, Apostolos & Sermpinis, Georgios, 2024. "Money demand stability: New evidence from transfer entropy," International Economics, Elsevier, vol. 179(C).
- Sun, Xiaotong & Stasinakis, Charalampos & Sermpinis, Georgios, 2024.
"Decentralization illusion in Decentralized Finance: Evidence from tokenized voting in MakerDAO polls,"
Journal of Financial Stability, Elsevier, vol. 73(C).
- Xiaotong Sun & Charalampos Stasinakis & Georigios Sermpinis, 2022. "Decentralization illusion in Decentralized Finance: Evidence from tokenized voting in MakerDAO polls," Papers 2203.16612, arXiv.org, revised Mar 2023.
- Mingzhe Wei & Georgios Sermpinis & Charalampos Stasinakis, 2023. "Forecasting and trading Bitcoin with machine learning techniques and a hybrid volatility/sentiment leverage," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 852-871, July.
- Psaradellis, Ioannis & Laws, Jason & Pantelous, Athanasios A. & Sermpinis, Georgios, 2023. "Technical analysis, spread trading, and data snooping control," International Journal of Forecasting, Elsevier, vol. 39(1), pages 178-191.
- Boris Andreev & Georgios Sermpinis & Charalampos Stasinakis, 2022. "Modelling Financial Markets during Times of Extreme Volatility: Evidence from the GameStop Short Squeeze," Forecasting, MDPI, vol. 4(3), pages 1-20, July.
- Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022.
"Forecasting: theory and practice,"
International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
- Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
- Wei Li & Florentina Paraschiv & Georgios Sermpinis, 2022.
"A data-driven explainable case-based reasoning approach for financial risk detection,"
Quantitative Finance, Taylor & Francis Journals, vol. 22(12), pages 2257-2274, December.
- Wei Li & Florentina Paraschiv & Georgios Sermpinis, 2021. "A Data-driven Explainable Case-based Reasoning Approach for Financial Risk Detection," Papers 2107.08808, arXiv.org.
- Li, Wei & Paraschiv, Florentina & Sermpinis, Georgios, 2021. "A data-driven explainable case-based reasoning approach for financial risk detection," IRTG 1792 Discussion Papers 2021-010, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Georgios Sermpinis & Andreas Karathanasopoulos & Rafael Rosillo & David Fuente, 2021. "Neural networks in financial trading," Annals of Operations Research, Springer, vol. 297(1), pages 293-308, February.
- Sermpinis, Georgios & Hassanniakalager, Arman & Stasinakis, Charalampos & Psaradellis, Ioannis, 2021. "Technical analysis profitability and Persistence: A discrete false discovery approach on MSCI indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
- Hassanniakalager, Arman & Sermpinis, Georgios & Stasinakis, Charalampos, 2021. "Trading the foreign exchange market with technical analysis and Bayesian Statistics," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 230-251.
- Hassanniakalager, Arman & Sermpinis, Georgios & Stasinakis, Charalampos & Verousis, Thanos, 2020. "A conditional fuzzy inference approach in forecasting," European Journal of Operational Research, Elsevier, vol. 283(1), pages 196-216.
- Keith Cuthbertson & Ioannis Kyriakou & Georgios Sermpinis & Athanasios A. Pantelous, 2019. "Special issue of the International Journal of Finance and Economics innovations in finance, economics, risk management, and policy," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 1407-1408, October.
- Ioannis Psaradellis & Jason Laws & Athanasios A. Pantelous & Georgios Sermpinis, 2019. "Performance of technical trading rules: evidence from the crude oil market," The European Journal of Finance, Taylor & Francis Journals, vol. 25(17), pages 1793-1815, November.
- Ioannis Kyriakou & Athanasios A. Pantelous & Georgios Sermpinis & Stavros A. Zenios, 2019. "Preface: application of operations research to financial markets," Annals of Operations Research, Springer, vol. 282(1), pages 1-2, November.
- Georgios Sermpinis & Serafeim Tsoukas & Ping Zhang, 2019. "What influences a bank's decision to go public?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 1464-1485, October.
- Yang Zhao & Charalampos Stasinakis & Georgios Sermpinis & Filipa Da Silva Fernandes, 2019. "Revisiting Fama–French factors' predictability with Bayesian modelling and copula‐based portfolio optimization," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 1443-1463, October.
- Yang Zhao & Charalampos Stasinakis & Georgios Sermpinis & Yukun Shi, 2018. "Neural network copula portfolio optimization for exchange traded funds," Quantitative Finance, Taylor & Francis Journals, vol. 18(5), pages 761-775, May.
- Thanos Verousis & Pietro Perotti & Georgios Sermpinis, 2018. "One size fits all? High frequency trading, tick size changes and the implications for exchanges: market quality and market structure considerations," Review of Quantitative Finance and Accounting, Springer, vol. 50(2), pages 353-392, February.
- Jason Laws & Georgios Sermpinis, 2018. "Special Issue of Quantitative Finance on the ‘23rd Forecasting Financial Markets Conference’," Quantitative Finance, Taylor & Francis Journals, vol. 18(5), pages 723-724, May.
- Sermpinis, Georgios & Tsoukas, Serafeim & Zhang, Ping, 2018. "Modelling market implied ratings using LASSO variable selection techniques," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 19-35.
- Sermpinis, Georgios & Stasinakis, Charalampos & Hassanniakalager, Arman, 2017. "Reverse adaptive krill herd locally weighted support vector regression for forecasting and trading exchange traded funds," European Journal of Operational Research, Elsevier, vol. 263(2), pages 540-558.
- Sermpinis, Georgios & Stasinakis, Charalampos & Rosillo, Rafael & de la Fuente, David, 2017. "European Exchange Trading Funds Trading with Locally Weighted Support Vector Regression," European Journal of Operational Research, Elsevier, vol. 258(1), pages 372-384.
- Christian-Oliver Ewald & Athanasios A. Pantelous & Georgios Sermpinis, 2016. "Special Issue of on ‘Commodity Markets’," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1807-1808, December.
- Charalampos Stasinakis & Georgios Sermpinis & Ioannis Psaradellis & Thanos Verousis, 2016. "Krill-Herd Support Vector Regression and heterogeneous autoregressive leverage: evidence from forecasting and trading commodities," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1901-1915, December.
- Psaradellis, Ioannis & Sermpinis, Georgios, 2016. "Modelling and trading the U.S. implied volatility indices. Evidence from the VIX, VXN and VXD indices," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1268-1283.
- Charalampos Stasinakis & Georgios Sermpinis & Konstantinos Theofilatos & Andreas Karathanasopoulos, 2016. "Forecasting US Unemployment with Radial Basis Neural Networks, Kalman Filters and Support Vector Regressions," Computational Economics, Springer;Society for Computational Economics, vol. 47(4), pages 569-587, April.
- Georgios Sermpinis & Thanos Verousis & Konstantinos Theofilatos, 2016. "Adaptive Evolutionary Neural Networks for Forecasting and Trading without a Data‐Snooping Bias," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(1), pages 1-12, January.
- Andreas Karathanasopoulos & Konstantinos Athanasios Theofilatos & Georgios Sermpinis & Christian Dunis & Sovan Mitra & Charalampos Stasinakis, 2016. "Stock market prediction using evolutionary support vector machines: an application to the ASE20 index," The European Journal of Finance, Taylor & Francis Journals, vol. 22(12), pages 1145-1163, September.
- Mitra, Sovan & Karathanasopoulos, Andreas & Sermpinis, Georgios & Dunis, Christian & Hood, John, 2015. "Operational risk: Emerging markets, sectors and measurement," European Journal of Operational Research, Elsevier, vol. 241(1), pages 122-132.
- Sermpinis, Georgios & Stasinakis, Charalampos & Theofilatos, Konstantinos & Karathanasopoulos, Andreas, 2015. "Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms—Support vector regression forecast combinations," European Journal of Operational Research, Elsevier, vol. 247(3), pages 831-846.
- Georgios Sermpinis & Jason Laws & Christian L. Dunis, 2015. "Modelling commodity value at risk with Psi Sigma neural networks using open-high-low-close data," The European Journal of Finance, Taylor & Francis Journals, vol. 21(4), pages 316-336, March.
- Michael H. Breitner & Christian Dunis & Hans-Jörg Mettenheim & Christopher Neely & Georgios Sermpinis & Rafael Rosillo & Javier Giner & David De la Fuente, 2014. "Stock Market Simulation Using Support Vector Machines," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(6), pages 488-500, September.
- Michael H. Breitner & Christian Dunis & Hans-Jörg Mettenheim & Christopher Neely & Georgios Sermpinis & Hamad Alsayed & Frank McGroarty, 2014. "Ultra‐High‐Frequency Algorithmic Arbitrage Across International Index Futures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(6), pages 391-408, September.
- Sermpinis, Georgios & Stasinakis, Charalampos & Dunis, Christian, 2014. "Stochastic and genetic neural network combinations in trading and hybrid time-varying leverage effects," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 30(C), pages 21-54.
- Michael H. Breitner & Christian Dunis & Hans-Jörg Mettenheim & Christopher Neely & Georgios Sermpinis & Klaus Schredelseker, 2014. "Pascal's Wager and Information," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(6), pages 455-470, September.
- Michael H. Breitner & Christian Dunis & Hans-Jörg Mettenheim & Christopher Neely & Georgios Sermpinis & Bartosz Kurek, 2014. "The Information Content of Equity Block Trades on the Warsaw Stock Exchange: An Estimation of Shares' Returns with the Usage of Simple Linear Regression and Multivariate Adaptive Regression Splines," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(6), pages 433-454, September.
- Michael H. Breitner & Christian Dunis & Hans-Jörg Mettenheim & Christopher Neely & Georgios Sermpinis & Christian Spreckelsen & Hans‐Jörg Mettenheim & Michael H. Breitner, 2014. "Real‐Time Pricing and Hedging of Options on Currency Futures with Artificial Neural Networks," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(6), pages 419-432, September.
- Andreas Karatahansopoulos & Georgios Sermpinis & Jason Laws & Christian Dunis, 2014. "Modelling and Trading the Greek Stock Market with Gene Expression and Genetic Programing Algorithms," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(8), pages 596-610, December.
- Michael H. Breitner & Christian Dunis & Hans-Jörg Mettenheim & Christopher Neely & Georgios Sermpinis & Georgios Sermpinis & Charalampos Stasinakis & Konstantinos Theofilatos & Andreas Karathanasopoul, 2014. "Inflation and Unemployment Forecasting with Genetic Support Vector Regression," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(6), pages 471-487, September.
- Christian Dunis & Georgios Sermpinis & Maria Ferenia Karampelia, 2013. "Stock market linkages among new EMU members and the euro area," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 30(4), pages 370-388, September.
- Georgios Sermpinis & Jason Laws & Christian L. Dunis, 2013. "Modelling and trading the realised volatility of the FTSE100 futures with higher order neural networks," The European Journal of Finance, Taylor & Francis Journals, vol. 19(3), pages 165-179, March.
- Christian L Dunis & Spiros D Likothanassis & Andreas S Karathanasopoulos & Georgios S Sermpinis & Konstantinos A Theofilatos, 2013. "A hybrid genetic algorithm–support vector machine approach in the task of forecasting and trading," Journal of Asset Management, Palgrave Macmillan, vol. 14(1), pages 52-71, February.
- Sermpinis, Georgios & Theofilatos, Konstantinos & Karathanasopoulos, Andreas & Georgopoulos, Efstratios F. & Dunis, Christian, 2013. "Forecasting foreign exchange rates with adaptive neural networks using radial-basis functions and Particle Swarm Optimization," European Journal of Operational Research, Elsevier, vol. 225(3), pages 528-540.
- Christian Dunis & Jason Laws & Georgios Sermpinis, 2010. "Higher order and recurrent neural architectures for trading the EUR/USD exchange rate," Quantitative Finance, Taylor & Francis Journals, vol. 11(4), pages 615-629.
- Christian Dunis & Jason Laws & Georgios Sermpinis, 2010.
"Modelling and trading the EUR/USD exchange rate at the ECB fixing,"
The European Journal of Finance, Taylor & Francis Journals, vol. 16(6), pages 541-560.
RePEc:taf:apfiec:v:20:y:2010:i:7:p:585-600 is not listed on IDEAS
More information
Research fields, statistics, top rankings, if available.Statistics
Access and download statistics for all items
Rankings
This author is among the top 5% authors according to these criteria:Co-authorship network on CollEc
NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-PAY: Payment Systems and Financial Technology (3) 2022-05-09 2022-08-22 2022-11-28
- NEP-BIG: Big Data (2) 2021-07-26 2021-08-09
- NEP-CMP: Computational Economics (2) 2021-07-26 2021-08-09
- NEP-CWA: Central and Western Asia (2) 2021-07-26 2022-03-21
- NEP-RMG: Risk Management (2) 2021-07-26 2021-08-09
- NEP-BAN: Banking (1) 2022-03-21
- NEP-CDM: Collective Decision-Making (1) 2022-11-28
- NEP-CFN: Corporate Finance (1) 2021-07-26
- NEP-FDG: Financial Development and Growth (1) 2022-08-22
- NEP-FOR: Forecasting (1) 2022-03-21
- NEP-ORE: Operations Research (1) 2021-07-26
- NEP-POL: Positive Political Economics (1) 2022-11-28
- NEP-UPT: Utility Models and Prospect Theory (1) 2022-03-21
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.
To update listings or check citations waiting for approval, Georgios Sermpinis should log into the RePEc Author Service.
To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.
To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.
Please note that most corrections can take a couple of weeks to filter through the various RePEc services.