Wavelet Neural Networks: A Practical Guide A Alexandridis, A Zapranis Neural Networks 42, 1-27, 2013 | 317 | 2013 |
An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives S Cramer, M Kampouridis, AA Freitas, AK Alexandridis Expert Systems with Applications 85, 169-181, 2017 | 216 | 2017 |
Weather Derivatives: Modeling and Pricing Weather-Related Risk A Alexandridis, A Zapranis New York, NY: Springer New York, 2013 | 140 | 2013 |
Weather derivatives: modeling and pricing weather-related risk A Alexandridis, AD Zapranis Springer Science & Business Media, 2012 | 140 | 2012 |
Modelling the Temperature Time‐dependent Speed of Mean Reversion in the Context of Weather Derivatives Pricing A Zapranis, A Alexandridis Applied Mathematical Finance 15 (4), 355-386, 2008 | 103 | 2008 |
Wavelet neural networks: with applications in financial engineering, chaos, and classification AK Alexandridis, AD Zapranis John Wiley & Sons, 2014 | 83 | 2014 |
Weather derivatives pricing: Modeling the seasonal residual variance of an Ornstein–Uhlenbeck temperature process with neural networks A Zapranis, A Alexandridis Neurocomputing 73 (1-3), 37-48, 2009 | 79 | 2009 |
Wind derivatives: Modeling and pricing A Alexandridis, A Zapranis Computational Economics 41 (3), 299-326, 2013 | 46 | 2013 |
Modeling and forecasting cumulative average temperature and heating degree day indices for weather derivative pricing A Zapranis, A Alexandridis Neural Computing and Applications 20, 787-801, 2011 | 38* | 2011 |
A comparison of wavelet networks and genetic programming in the context of temperature derivatives AK Alexandridis, M Kampouridis, S Cramer International Journal of Forecasting 33 (1), 21-47, 2017 | 32 | 2017 |
A comparison of wavelet networks and genetic programming in the context of temperature derivatives AK Alexandridis, M Kampouridis, S Cramer International Journal of Forecasting 33 (1), 21-47, 2017 | 32 | 2017 |
Modeling and forecasting cumulative average temperature and heating degree day indices for weather derivative pricing A Zapranis, A Alexandridis Neural Computing and Applications 20, 787-801, 2011 | 31 | 2011 |
Predicting rainfall in the context of rainfall derivatives using genetic programming S Cramer, M Kampouridis, AA Freitas, A Alexandridis 2015 IEEE Symposium Series on Computational Intelligence, 711-718, 2015 | 24 | 2015 |
Forecasting crude oil prices using wavelet neural networks A Alexandridis, E Livanis Proceedings of the 5th FSDET, Athens, Greece 8, 2008 | 23 | 2008 |
Global financial crisis and multiscale systematic risk: Evidence from selected European stock markets AK Alexandridis, MS Hasan International Journal of Finance & Economics 25 (4), 518-546, 2020 | 22 | 2020 |
Extracting Risk Neutral Densities For Weather Derivatives Pricing Using The Maximum Entropy Method A Alexandridis, H Gzyl, E Ter Horst, G Molina | 22* | 2017 |
Real Estate valuation and forecasting in non-homogeneous markets: A case study in Greece during the financial crisis A Alexandridis, D Karlis, D Papastamos, D Andritsos | 22 | 2017 |
Wavelet analysis and weather derivatives pricing A Zapranis, A Alexandridis 5th Hellenic Finance and Accounting Association (HFAA), Thessaloniki, 15-16, 2006 | 21* | 2006 |
Dynamic time warping as a similarity measure: applications in finance P Tsinaslanidis, A Alexandridis, A Zapranis, E Livanis | 19 | 2014 |
Dynamic Time Warping as a Similarity Measure: Applications in Finance P Tsinaslanidis, A Alexandridis, A Zapranis, E Livanis 13th Annual Conference of Hellenic Finance and Accounting Association (HFAA), 2014 | 19 | 2014 |