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. Stan Miles issued this report. It is usually issued weekly.

Subscribe to this report: email, RSS, or Mastodon.

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