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Report NEP-CMP-2019-03-25
This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stanley Miles issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-CMP
The following items were announced in this report:
- Martin Christensen & Andrea Conte & Simone Salotti, 2019, "Horizon Europe: The RHOMOLO ex-ante assessment," JRC Research Reports, Joint Research Centre, number JRC115437, Mar.
- Masoud Fekri & Babak Barazandeh, 2019, "Designing an Optimal Portfolio for Iran's Stock Market with Genetic Algorithm using Neural Network Prediction of Risk and Return Stocks," Papers, arXiv.org, number 1903.06632, Feb.
- Item repec:spo:wpmain:info:hdl:2441/4pa18fd9lf9h59m4vfavfcf61e is not listed on IDEAS anymore
- Zura Kakushadze & Willie Yu, 2019, "Machine Learning Risk Models," Papers, arXiv.org, number 1903.06334, Mar, revised Apr 2019.
- Dat Thanh Tran & Juho Kanniainen & Moncef Gabbouj & Alexandros Iosifidis, 2019, "Data-driven Neural Architecture Learning For Financial Time-series Forecasting," Papers, arXiv.org, number 1903.06751, Mar.
- Leventi, Chrysa & Verbist, Gerlinde & Gasior, Katrin & Manios, Kostas & Hufkens, Tine & Goedemé, Tim & Rastrigina, Olga & Recchia, Pasquale & Sutherland, Holly & Van Mechelen, Natascha, 2019, "The Hypothetical Household Tool (HHoT) in EUROMOD: a new instrument for comparative research on tax-benefit policies in Europe," EUROMOD Working Papers, EUROMOD at the Institute for Social and Economic Research, number EM5/19, Mar.
- Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena, 2019, "Heuristic Switching Model and Exploration-Explotation Algorithm to describe long-run expectations in LtFEs: A comparison," Working Papers, Economics Department, Universitat Jaume I, Castellón (Spain), number 2019/02.
- Weilong Fu & Ali Hirsa, 2019, "A fast method for pricing American options under the variance gamma model," Papers, arXiv.org, number 1903.07519, Mar.
- Peiyang Guo & Jacqueline CK Lam & Victor OK Li, 2018, "A novel machine learning approach for identifying the drivers of domestic electricity users' price responsiveness," Working Papers, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge, number EPRG 1824, Aug.
- c{C}au{g}{i}n Ararat & Nurtai Meimanjan, 2019, "Computation of systemic risk measures: a mixed-integer programming approach," Papers, arXiv.org, number 1903.08367, Mar, revised Aug 2023.
- Sang Il Lee & Seong Joon Yoo, 2019, "Multimodal Deep Learning for Finance: Integrating and Forecasting International Stock Markets," Papers, arXiv.org, number 1903.06478, Mar, revised Sep 2019.
- M. R. Hesamzadeh & P. Holmberg & M. Sarfati, 2018, "Simulation and Evaluation of Zonal Electricity Market Design," Working Papers, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge, number EPRG 1813, May.
- Adrien Ehrhardt & Christophe Biernacki & Vincent Vandewalle & Philippe Heinrich, 2019, "Feature quantization for parsimonious and interpretable predictive models," Papers, arXiv.org, number 1903.08920, Mar.
- Tammik, Miko, 2019, "Baseline results from the EU28 EUROMOD: 2015-2018," EUROMOD Working Papers, EUROMOD at the Institute for Social and Economic Research, number EM6/19, Mar.
- Tadamasa Sawada, 2019, "A Computational Model that recovers depth from stereo-input without using any oculomotor information," HSE Working papers, National Research University Higher School of Economics, number WP BRP 106/PSY/2019.
- Marchal, Sarah & Goedemé, Tim & Siöland, Linus, 2019, "Using HHoT to generate institutional minimum income protection indicators," EUROMOD Working Papers, EUROMOD at the Institute for Social and Economic Research, number EM4/19, Mar.
- Item repec:spo:wpmain:info:hdl:2441/1lc919l7sm8pt87iaubt8n43lo is not listed on IDEAS anymore
- Adams-Prassl, Abigail, 2019, "Mutually Consistent Revealed Preference Demand Predictions," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13580, Mar.
- Bonin, Holger & Sommer, Eric & Buhlmann, Florian & Stichnoth, Holger, 2019, "Mikrosimulation von Reformszenarien zur finanziellen Entlastung von Geringverdienern," IZA Research Reports, Institute of Labor Economics (IZA), number 88, Mar.