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German G Creamer

Personal Details

First Name:German
Middle Name:G
Last Name:Creamer
Suffix:
RePEc Short-ID:pcr283
[This author has chosen not to make the email address public]
http://www.creamer-co.com
Terminal Degree:1993 Department of Economics; University of Notre Dame (from RePEc Genealogy)

Affiliation

(75%) School of Business
Stevens Institute of Technology

Hoboken, New Jersey (United States)
https://www.stevens.edu/school-business
RePEc:edi:sbsitus (more details at EDIRC)

(25%) Columbia University, Computer Science Department

https://www.cs.columbia.edu/
New York, NY

Research output

as
Jump to: Articles

Articles

  1. Ricardo A. Collado & Germán G. Creamer, 2023. "Metalearning of time series: an approximate dynamic programming approach," Quantitative Finance, Taylor & Francis Journals, vol. 23(4), pages 539-551, April.
  2. Jing Chen & Germán G. Creamer & Yue Ning & Tal Ben-Zvi, 2023. "Healthcare Sustainability: Hospitalization Rate Forecasting with Transfer Learning and Location-Aware News Analysis," Sustainability, MDPI, vol. 15(22), pages 1-24, November.
  3. Germán G. Creamer & Salvatore J. Stolfo & Mateo Creamer & Shlomo Hershkop & Ryan Rowe & Ning Cai, 2022. "Discovering Organizational Hierarchy through a Corporate Ranking Algorithm: The Enron Case," Complexity, Hindawi, vol. 2022, pages 1-18, February.
  4. Germán G. Creamer & Tal Ben-Zvi, 2021. "Volatility and Risk in the Energy Market: A Trade Network Approach," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
  5. Alex Gurvich & Germán G. Creamer, 2021. "Overallocation and Correction of Carbon Emissions in the Evaluation of Carbon Footprint," Sustainability, MDPI, vol. 13(24), pages 1-14, December.
  6. Patrick Houlihan & Germán G. Creamer, 2021. "Leveraging Social Media to Predict Continuation and Reversal in Asset Prices," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 433-453, February.
  7. Patrick Houlihan & Germán G. Creamer, 2019. "Leveraging a call-put ratio as a trading signal," Quantitative Finance, Taylor & Francis Journals, vol. 19(5), pages 763-777, May.
  8. Germán G. Creamer & Gary Kazantsev & Tomaso Aste, 2019. "Editors' foreword," Quantitative Finance, Taylor & Francis Journals, vol. 19(9), pages 1445-1448, September.
  9. Germán G. Creamer & Chihoon Lee, 2019. "A multivariate distance nonlinear causality test based on partial distance correlation: a machine learning application to energy futures," Quantitative Finance, Taylor & Francis Journals, vol. 19(9), pages 1531-1542, September.
  10. Ghoddusi, Hamed & Creamer, Germán G. & Rafizadeh, Nima, 2019. "Machine learning in energy economics and finance: A review," Energy Economics, Elsevier, vol. 81(C), pages 709-727.
  11. Patrick Houlihan & Germán G. Creamer, 2017. "Can Sentiment Analysis and Options Volume Anticipate Future Returns?," Computational Economics, Springer;Society for Computational Economics, vol. 50(4), pages 669-685, December.
  12. Germán Creamer, 2012. "Model calibration and automated trading agent for Euro futures," Quantitative Finance, Taylor & Francis Journals, vol. 12(4), pages 531-545, December.
  13. Germán Creamer, 2011. "Linking Entity Resolution and Risk," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 150-164.
  14. German Creamer & Yoav Freund, 2010. "Automated trading with boosting and expert weighting," Quantitative Finance, Taylor & Francis Journals, vol. 10(4), pages 401-420.
  15. Germán Creamer & Yoav Freund, 2010. "Using Boosting for Financial Analysis and Performance Prediction: Application to S&P 500 Companies, Latin American ADRs and Banks," Computational Economics, Springer;Society for Computational Economics, vol. 36(2), pages 133-151, August.
  16. Creamer, Germán, 2004. "Regionalismo abierto en la Comunidad Andina. ¿Creación o desviación de comercio?," El Trimestre Económico, Fondo de Cultura Económica, vol. 71(281), pages 45-71, enero-mar.

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