Printed from https://ideas.repec.org/n/nep-cmp/2023-02-06.html
Report NEP-CMP-2023-02-06
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:
- Thomas Wong & Mauricio Barahona, 2022, "Online learning techniques for prediction of temporal tabular datasets with regime changes," Papers, arXiv.org, number 2301.00790, Dec, revised Aug 2023.
- Stéphane Goutte & Viet Hoang Le & Fei Liu & Hans-Jörg Mettenheim, Von, 2023, "Deep Learning And Technical Analysis In Cryptocurrency Market," Working Papers, HAL, number halshs-03917333, Jan.
- Huyên Pham & Xavier Warin, 2024, "Mean-field neural networks-based algorithms for McKean-Vlasov control problems ," Working Papers, HAL, number hal-03900810, Mar.
- Yves-C'edric Bauwelinckx & Jan Dhaene & Tim Verdonck & Milan van den Heuvel, 2023, "On the causality-preservation capabilities of generative modelling," Papers, arXiv.org, number 2301.01109, Jan.
- Stéphane Goutte & Viet Hoang Le & Fei Liu & Hans-Jörg Mettenheim, Von, 2023, "Esg Investing: A Sentiment Analysis Approach," Working Papers, HAL, number halshs-03917335, Jan.
- Cero, Ian & Wyman, Peter, 2023, "A computational model of network health interventions for suicide," OSF Preprints, Center for Open Science, number r6v2e, Jan, DOI: 10.31219/osf.io/r6v2e.
- Jiwon Kim & Moon-Ju Kang & KangHun Lee & HyungJun Moon & Bo-Kwan Jeon, 2023, "Deep Reinforcement Learning for Asset Allocation: Reward Clipping," Papers, arXiv.org, number 2301.05300, Jan.
- Konstantins Benkovskis & Ludmila Fadejeva & Anna Pluta & Anna Zasova, 2023, "Keeping the best of two worlds: Linking CGE and microsimulation models for policy analysis," Working Papers, Latvijas Banka, number 2023/01, Jan.
- Tianran Ding & Wouter Achten, 2022, "Coupling agent-based modeling with territorial LCA to support agricultural land-use planning," ULB Institutional Repository, ULB -- Universite Libre de Bruxelles, number 2013/352782, Dec.
- Konstantins Benkovskis & Olegs Matvejevs, 2023, "The New Version of Latvian CGE Model," Working Papers, Latvijas Banka, number 2023/02, Jan.
- Fateme Shahabi Nejad & Mohammad Mehdi Ebadzadeh, 2023, "Stock market forecasting using DRAGAN and feature matching," Papers, arXiv.org, number 2301.05693, Jan.
- Ali Bayar & Dizem Ertac Varoglu, 2022, "Investigating the Effects of Environmental and Energy Policies in Turkey Using an Energy Disaggregated CGE Model," Working Papers, Economic Research Forum, number 1622, Dec, revised 20 Dec 2022.
- Guijin Son & Hanwool Lee & Nahyeon Kang & Moonjeong Hahm, 2023, "Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance," Papers, arXiv.org, number 2301.03136, Jan, revised Jan 2023.
- Antonio Villar, 2022, "An elementary algorithm to make quantitative assessments from multidimensional, unstructured, categorical data," Working Papers, Universidad Pablo de Olavide, Department of Economics, number 22.14.
- Jinge Bao & Patrick Rebentrost, 2022, "Fundamental theorem for quantum asset pricing," Papers, arXiv.org, number 2212.13815, Dec, revised Apr 2023.