| Machine learning in energy economics and finance: A review H Ghoddusi, GG Creamer, N Rafizadeh Energy Economics 81, 709-727, 2019 | 450 | 2019 |
| Automated social hierarchy detection through email network analysis R Rowe, G Creamer, S Hershkop, SJ Stolfo Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining …, 2007 | 181 | 2007 |
| Semantic frames to predict stock price movement B Xie, R Passonneau, L Wu, GG Creamer Proceedings of the 51st annual meeting of the association for computational …, 2013 | 169 | 2013 |
| Learning a board Balanced Scorecard to improve corporate performance G Creamer, Y Freund Decision Support Systems 49 (4), 365-385, 2010 | 113 | 2010 |
| Automated trading with boosting and expert weighting G Creamer, Y Freund Quantitative Finance 10 (4), 401-420, 2010 | 100 | 2010 |
| Segmentation and automated social hierarchy detection through email network analysis G Creamer, R Rowe, S Hershkop, SJ Stolfo Advances in Web Mining and Web Usage Analysis: 9th International Workshop on …, 2009 | 68 | 2009 |
| Model calibration and automated trading agent for euro futures G Creamer Quantitative Finance 12 (4), 531-545, 2012 | 52 | 2012 |
| Can a corporate network and news sentiment improve portfolio optimization using the Black–Litterman model? GG Creamer Quantitative Finance 15 (8), 1405-1416, 2015 | 41 | 2015 |
| Predicting performance and quantifying corporate governance risk for latin american adrs and banks GG Creamer, Y Freund Financial Engineering and Applications, MIT, Cambridge, 2004 | 41 | 2004 |
| A link mining algorithm for earnings forecast and trading G Creamer, S Stolfo Data mining and knowledge discovery 18, 419-445, 2009 | 35 | 2009 |
| Using boosting for financial analysis and performance prediction: application to s&p 500 companies, latin american adrs and banks G Creamer, Y Freund Computational Economics 36, 133-151, 2010 | 28 | 2010 |
| Can sentiment analysis and options volume anticipate future returns? P Houlihan, GG Creamer Computational Economics 50 (4), 669-685, 2017 | 26 | 2017 |
| A boosting approach for automated trading GG Creamer, Y Freund Journal of Trading 2 (3), 84-96, 2007 | 25 | 2007 |
| Regionalismo Abierto en la Comunidad Andina¿ Creación o Desviación de Comercio? G Creamer El Trimestre Económico, 45-71, 2004 | 25 | 2004 |
| Impact of dynamic corporate news networks on asset return and volatility GG Creamer, Y Ren, JV Nickerson 2013 international conference on social computing, 809-814, 2013 | 24 | 2013 |
| Leveraging a call-put ratio as a trading signal P Houlihan, GG Creamer Quantitative Finance 19 (5), 763-777, 2019 | 22 | 2019 |
| A temporal based forensic analysis of electronic communication SJ Stolfo, G Creamer, S Hershkop Proceedings of the 2006 international conference on Digital government …, 2006 | 21 | 2006 |
| Leveraging social media to predict continuation and reversal in asset prices P Houlihan, GG Creamer Computational Economics 57 (2), 433-453, 2021 | 19 | 2021 |
| Carbon risk factor framework A Gurvich, GG Creamer The Journal of Portfolio Management, 2022 | 14 | 2022 |
| A textual analysis algorithm for the equity market: The European case GG Creamer, Y Ren, Y Sakamoto, JV Nickerson The Journal of Investing 25 (3), 105-116, 2016 | 14 | 2016 |
Jeffrey V. NickersonStevens Institute of TechnologyAdresse e-mail validée de stevens.edu
