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Report NEP-CMP-2023-07-10
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:
- Aadhitya A & Rajapriya R & Vineetha R S & Anurag M Bagde, 2023, "Predicting Stock Market Time-Series Data using CNN-LSTM Neural Network Model," Papers, arXiv.org, number 2305.14378, May.
- Reza Nematirad & Amin Ahmadisharaf & Ali Lashgari, 2023, "Forecasting the Performance of US Stock Market Indices During COVID-19: RF vs LSTM," Papers, arXiv.org, number 2306.03620, Jun.
- Tingsong Jiang & Qingyun Zeng, 2023, "Financial sentiment analysis using FinBERT with application in predicting stock movement," Papers, arXiv.org, number 2306.02136, Jun, revised Jun 2025.
- Hong Guo & Jianwu Lin & Fanlin Huang, 2023, "Market Making with Deep Reinforcement Learning from Limit Order Books," Papers, arXiv.org, number 2305.15821, May.
- Jaydip Sen & Aditya Jaiswal & Anshuman Pathak & Atish Kumar Majee & Kushagra Kumar & Manas Kumar Sarkar & Soubhik Maji, 2023, "A Comparative Analysis of Portfolio Optimization Using Mean-Variance, Hierarchical Risk Parity, and Reinforcement Learning Approaches on the Indian Stock Market," Papers, arXiv.org, number 2305.17523, May.
- Said, Aymen, 2023, "Deep Unsupervised Learning for Simultaneous Visual Odometry and Depth Estimation: A Novel Approach," OSF Preprints, Center for Open Science, number 56ngs, May, DOI: 10.31219/osf.io/56ngs.
- Vincent Lemaire & Gilles Pag`es & Christian Yeo, 2023, "Swing contract pricing: with and without Neural Networks," Papers, arXiv.org, number 2306.03822, Jun, revised Mar 2024.
- Barry Quinn, 2023, "Explaining AI in Finance: Past, Present, Prospects," Papers, arXiv.org, number 2306.02773, Jun.
- Walter, Johannes, 2023, "Human oversight done right: The AI Act should use humans to monitor AI only when effective," ZEW policy briefs, ZEW - Leibniz Centre for European Economic Research, number 02/2023.
- Harsimrat Kaeley & Ye Qiao & Nader Bagherzadeh, 2023, "Support for Stock Trend Prediction Using Transformers and Sentiment Analysis," Papers, arXiv.org, number 2305.14368, May.
- Brian Kan & Douglas Klein, 2022, "AWS Corporate AI Use Cases," RAIS Conference Proceedings 2022-2025, Research Association for Interdisciplinary Studies, number 0205, Jun.
- Yuze Lu & Hailong Zhang & Qiwen Guo, 2023, "Stock and market index prediction using Informer network," Papers, arXiv.org, number 2305.14382, May.
- Sofia Patsali & Michele Pezzoni & Jackie Krafft, 2023, "Healthcare Procurement and Firm Innovation: Evidence from AI-powered Equipment," GREDEG Working Papers, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, number 2023-05, Mar.
- Julia M. Puaschunder, 2022, "Extension of Endogenous Growth Theory: Artificial Intelligence as a Self-Learning Entity," RAIS Conference Proceedings 2022-2025, Research Association for Interdisciplinary Studies, number 0224, Oct.
- Minhyeok Lee, 2023, "Game-Theoretical Analysis of Reviewer Rewards in Peer-Review Journal Systems: Analysis and Experimental Evaluation using Deep Reinforcement Learning," Papers, arXiv.org, number 2305.12088, May.
- Aman Saggu & Lennart Ante, 2023, "The Influence of ChatGPT on Artificial Intelligence Related Crypto Assets: Evidence from a Synthetic Control Analysis," Papers, arXiv.org, number 2305.12739, May.
- J Bayoán Santiago Calderón & Dylan Rassier, 2022, "Valuing the U.S. Data Economy Using Machine Learning and Online Job Postings," BEA Working Papers, Bureau of Economic Analysis, number 0204, Oct.
- Donato Masciandaro & Davide Romelli & Gaia Rubera, 2023, "Monetary policy and financial markets: evidence from Twitter traffic," Trinity Economics Papers, Trinity College Dublin, Department of Economics, number TEP1023, Jun.
- Simerjot Kaur & Andrea Stefanucci & Sameena Shah, 2023, "InProC: Industry and Product/Service Code Classification," Papers, arXiv.org, number 2305.13532, May.
- Christa Cuchiero & Philipp Schmocker & Josef Teichmann, 2023, "Global universal approximation of functional input maps on weighted spaces," Papers, arXiv.org, number 2306.03303, Jun, revised Dec 2025.
- Alejandro Sanchez-Becerra, 2023, "Robust inference for the treatment effect variance in experiments using machine learning," Papers, arXiv.org, number 2306.03363, Jun.
- Heller, Yuval & Tubul, Itay, 2023, "Strategies in the repeated prisoner’s dilemma: A cluster analysis," MPRA Paper, University Library of Munich, Germany, number 117444, May.
- Xu, Wenfei, 2023, "New Methods for Old Questions: Predicting Historical Urban Renewal Areas in the United States," SocArXiv, Center for Open Science, number bsvr8, May, DOI: 10.31219/osf.io/bsvr8.
- Alfarisi, Omar, 2023, "Artificial Energy General Intelligence AEGI," OSF Preprints, Center for Open Science, number ye254, Jun, DOI: 10.31219/osf.io/ye254.
- Giuseppe Bruno, 2022, "Quantum computing: a bubble ready to burst or a looming breakthrough?," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 716, Oct.
- SOLER GARRIDO Josep & FANO YELA Delia & PANIGUTTI Cecilia & JUNKLEWITZ Henrik & HAMON Ronan & EVAS Tatjana & ANDRÉ Antoine-Alexandre & SCALZO Salvatore, 2023, "Analysis of the preliminary AI standardisation work plan in support of the AI Act," JRC Research Reports, Joint Research Centre, number JRC132833, May.