Georgios Sermpinis

According to our database, Georgios Sermpinis authored at least 18 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Industry return prediction via interpretable deep learning.

Lazaros Zografopoulos, Maria Chiara Iannino, Ioannis Psaradellis, Georgios Sermpinis

Eur. J. Oper. Res., 2025

2022

Multiparty Democracy in Decentralized Autonomous Organization (DAO): Evidence from MakerDAO.

Xiaotong Sun, Xi Chen, Charalampos Stasinakis, Georgios Sermpinis

CoRR, 2022

Decentralization illusion in DeFi: Evidence from MakerDAO.

Xiaotong Sun, Charalampos Stasinakis, Georgios Sermpinis

CoRR, 2022

2021

Neural networks in financial trading.

Georgios Sermpinis, Andreas S. Karathanasopoulos, Rafael Rosillo, David de la Fuente

Ann. Oper. Res., 2021

2020

A conditional fuzzy inference approach in forecasting.

Arman Hassanniakalager, Georgios Sermpinis, Charalampos Stasinakis, Thanos Verousis

Eur. J. Oper. Res., 2020

2019

Preface: application of operations research to financial markets.

Ioannis Kyriakou, Athanasios A. Pantelous, Georgios Sermpinis, Stavros A. Zenios

Ann. Oper. Res., 2019

2017

European Exchange Trading Funds Trading with Locally Weighted Support Vector Regression.

Georgios Sermpinis, Charalampos Stasinakis, Rafael Rosillo, David de la Fuente

Eur. J. Oper. Res., 2017

Reverse adaptive krill herd locally weighted support vector regression for forecasting and trading exchange traded funds.

Georgios Sermpinis, Charalampos Stasinakis, Arman Hassanniakalager

Eur. J. Oper. Res., 2017

2015

Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms - Support vector regression forecast combinations.

Georgios Sermpinis, Charalampos Stasinakis, Konstantinos A. Theofilatos, Andreas S. Karathanasopoulos

Eur. J. Oper. Res., 2015

Operational risk: Emerging markets, sectors and measurement.

Sovan Mitra, Andreas S. Karathanasopoulos, Georgios Sermpinis, Christian L. Dunis, John Hood

Eur. J. Oper. Res., 2015

2013

Forecasting foreign exchange rates with adaptive neural networks using radial-basis functions and Particle Swarm Optimization.

Georgios Sermpinis, Konstantinos A. Theofilatos, Andreas S. Karathanasopoulos, Efstratios F. Georgopoulos, Christian L. Dunis

Eur. J. Oper. Res., 2013

Kalman Filter and SVR Combinations in Forecasting US Unemployment.

Georgios Sermpinis, Charalampos Stasinakis, Andreas S. Karathanasopoulos

Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Gene Expression Programming and Trading Strategies.

Georgios Sermpinis, Anastasia Fountouli, Konstantinos A. Theofilatos, Andreas S. Karathanasopoulos

Proceedings of the Artificial Intelligence Applications and Innovations, 2013

2012

Forecasting and trading the EUR/USD exchange rate with Gene Expression and Psi Sigma Neural Networks.

Georgios Sermpinis, Jason Laws, Andreas S. Karathanasopoulos, Christian L. Dunis

Expert Syst. Appl., 2012

Forecasting and trading the EUR/USD exchange rate with stochastic Neural Network combination and time-varying leverage.

Georgios Sermpinis, Christian L. Dunis, Jason Laws, Charalampos Stasinakis

Decis. Support Syst., 2012

Modelling and Trading the DJIA Financial Index Using Neural Networks Optimized with Adaptive Evolutionary Algorithms.

Konstantinos A. Theofilatos, Andreas S. Karathanasopoulos, Georgios Sermpinis, Thomas Amorgianiotis, Efstratios F. Georgopoulos, Spiros Likothanassis

Proceedings of the Engineering Applications of Neural Networks, 2012

A Hybrid Radial Basis Function and Particle Swarm Optimization Neural Network Approach in Forecasting the EUR/GBP Exchange Rates Returns.

Georgios Sermpinis, Konstantinos A. Theofilatos, Andreas S. Karathanasopoulos, Efstratios F. Georgopoulos, Christian L. Dunis

Proceedings of the Engineering Applications of Neural Networks, 2012

Kalman Filters and Neural Networks in Forecasting and Trading.

Georgios Sermpinis, Christian L. Dunis, Jason Laws, Charalampos Stasinakis

Proceedings of the Engineering Applications of Neural Networks, 2012