Report NEP-BIG-2018-12-10

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé issued this report. It is usually issued weekly.

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Other reports in NEP-BIG

The following items were announced in this report:

• Kiyohiko G. Nishimura & Seisho Sato & Akihiko Takahashi, 2018. "Term Structure Models During the Global Financial Crisis: A Parsimonious Text Mining Approach," Working Papers on Central Bank Communication 003, University of Tokyo, Graduate School of Economics.
• Ben Moews & J. Michael Herrmann & Gbenga Ibikunle, 2018. "Lagged correlation-based deep learning for directional trend change prediction in financial time series," Papers 1811.11287, arXiv.org, revised Nov 2018.
• Przemysław Ryś & Robert Ślepaczuk, 2018. "Machine learning in algorithmic trading strategy optimization - implementation and efficiency," Working Papers 2018-25, Faculty of Economic Sciences, University of Warsaw.
• Tilman Graff, 2018. "Spatial Inefficiencies in Africa’s Trade Network," CSAE Working Paper Series 2018-17, Centre for the Study of African Economies, University of Oxford.
• Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
• Elisabetta Raguseo & Claudio Vitari, 2017. "Investments in big data analytics and firm performance: an empirical investigation of direct and mediating effects," Grenoble Ecole de Management (Post-Print) halshs-01923259, HAL.
• Adam Fedyniuk, 2018. "Technological Singularity: A connectomics perspective," Proceedings of International Academic Conferences 7010263, International Institute of Social and Economic Sciences.
• Di Fang & Michael R. Thomsen & Rodolfo M. Nayga, Jr. & Aaron M. Novotny, 2018. "WIC Participation and Relative Quality of Household Food Purchases: Evidence from FoodAPS," NBER Working Papers 25291, National Bureau of Economic Research, Inc.