The University of Glasgow uses cookies for analytics and advertising. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Hotjar helps us to understand and improve our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
Psaradellis, I., Laws, J., Pantelous, A. A. and Sermpinis, G. (2023) Technical analysis, spread trading, and data snooping control. International Journal of Forecasting, 39(1), pp. 178-191. (doi: 10.1016/j.ijforecast.2021.10.002)
Psaradellis, I., Laws, J., Pantelous, A. A. and Sermpinis, G. (2019) Performance of technical trading rules: evidence from the crude oil market. European Journal of Finance, 25(17), pp. 1793-1815. (doi: 10.1080/1351847X.2018.1552172)
Karathanasopoulos, A., Sermpinis, G. , Laws, J. and Dunis, C. (2014) Modelling and trading the Greek stock market with gene expression and genetic programing algorithms. Journal of Forecasting, 33(8), pp. 596-610. (doi: 10.1002/for.2290)
Sermpinis, G. , Dunis, C., Laws, J. and Stasinakis, C. (2012) Forecasting and trading the EUR/USD exchange rate with stochastic Neural Network combination and time-varying leverage. Decision Support Systems, 54(1), pp. 316-329. (doi: 10.1016/j.dss.2012.05.039)
Sermpinis, G. , Dunis, C., Laws, J. and Stasinakis, C. (2012) Kalman filters and neural networks in forecasting and trading. In: Jayne, C., Yue, S. and Iliadis, L. (eds.) Engineering Applications of Neural Networks, 13th International Conference EANN 2012 Proceedings, EANN 2012, CCIS 311. Series: Communications in Computer and Information Science (311). Springer Berlin Heidelberg: Berlin Heidelberg, pp. 433-442. ISBN 9783642329081 (doi: 10.1007/978-3-642-32909-8_44)
Psaradellis, I., Laws, J., Pantelous, A. A. and Sermpinis, G. (2023) Technical analysis, spread trading, and data snooping control. International Journal of Forecasting, 39(1), pp. 178-191. (doi: 10.1016/j.ijforecast.2021.10.002)
Psaradellis, I., Laws, J., Pantelous, A. A. and Sermpinis, G. (2019) Performance of technical trading rules: evidence from the crude oil market. European Journal of Finance, 25(17), pp. 1793-1815. (doi: 10.1080/1351847X.2018.1552172)
Karathanasopoulos, A., Sermpinis, G. , Laws, J. and Dunis, C. (2014) Modelling and trading the Greek stock market with gene expression and genetic programing algorithms. Journal of Forecasting, 33(8), pp. 596-610. (doi: 10.1002/for.2290)
Sermpinis, G. , Dunis, C., Laws, J. and Stasinakis, C. (2012) Forecasting and trading the EUR/USD exchange rate with stochastic Neural Network combination and time-varying leverage. Decision Support Systems, 54(1), pp. 316-329. (doi: 10.1016/j.dss.2012.05.039)
Sermpinis, G. , Dunis, C., Laws, J. and Stasinakis, C. (2012) Kalman filters and neural networks in forecasting and trading. In: Jayne, C., Yue, S. and Iliadis, L. (eds.) Engineering Applications of Neural Networks, 13th International Conference EANN 2012 Proceedings, EANN 2012, CCIS 311. Series: Communications in Computer and Information Science (311). Springer Berlin Heidelberg: Berlin Heidelberg, pp. 433-442. ISBN 9783642329081 (doi: 10.1007/978-3-642-32909-8_44)