Report NEP-CMP-2024-08-19

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:

• Kumar, Deepak & Weissenberger-Eibl, Marion, 2024, "Artificial Intelligence Driven Trend Forecasting: Integrating BERT Topic Modelling and Generative Artificial Intelligence for Semantic Insights," EconStor Conference Papers, ZBW - Leibniz Information Centre for Economics, number 300545.
• Jaydip Sen & Hetvi Waghela & Sneha Rakshit, 2024, "Exploring Sectoral Profitability in the Indian Stock Market Using Deep Learning," Papers, arXiv.org, number 2407.01572, May.
• GOMEZ Emilia & PORCARO Lorenzo & FRAU AMAR Pedro & VINAGRE Joao, 2024, "Diversity in Artificial Intelligence Conferences," JRC Research Reports, Joint Research Centre, number JRC137550, Jul.
• Ozili, Peterson K, 2024, "Artificial intelligence and central bank digital currency," MPRA Paper, University Library of Munich, Germany, number 121567.
• Zhang, Michael PhD & Gao, Hang PhD & Chen, Di & Qi, Yanlin, 2024, "A Data-Driven Approach to Manage High-Occupancy Toll Lanes in California," Institute of Transportation Studies, Working Paper Series, Institute of Transportation Studies, UC Davis, number qt71d0h6hz, Jun.
• Item repec:ags:aaea22:343928 is not listed on IDEAS anymore

• Hendriks, Patrick & Sturm, Timo & Geis, Maximilian & Grimminger, Till & Mast, Benedikt, 2024, "Exploring Collaboration in Human-Artificial Intelligence Teams: A Design Science Approach to Team-AI Collaboration Systems," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 146863.
• Sankalp Srivastava, 2024, "Digital Empowerment for Indigenous Communities Using Generative Artificial Intelligence ," GATR Journals, Global Academy of Training and Research (GATR) Enterprise, number gjbssr649, Jun, DOI: https://doi.org/10.35609/gjbssr.202.
• Xi Cheng & Jinghao Zhang & Yunan Zeng & Wenfang Xue, 2024, "MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading," Papers, arXiv.org, number 2407.01577, Jun.
• Yuji Shinozaki, 2024, "A Review of New Developments in Finance with Deep Learning: Deep Hedging and Deep Calibration," IMES Discussion Paper Series, Institute for Monetary and Economic Studies, Bank of Japan, number 24-E-02, Apr.
• Duwe, Daniel & Weissenberger-Eibl, Marion A., 2024, "The Potential of Generative AI tools such as ChatGPT for Sustainable Business Model Innovation," EconStor Conference Papers, ZBW - Leibniz Information Centre for Economics, number 300532.
• Ellenrieder, Sara & Ellenrieder, Nils & Hendriks, Patrick & Mehler, Maren F., 2024, "Pilots and Pixels: A Comparative Analysis of Machine Learning Error Effects on Aviation Decision Making," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 146775.
• Andrea Carriero & Davide Pettenuzzo & Shubhranshu Shekhar, 2024, "Macroeconomic Forecasting with Large Language Models," Papers, arXiv.org, number 2407.00890, Jun, revised Sep 2025.
• Lippens, Louis, 2024, "Humans vs GPTs: Bias and validity in hiring decisions," OSF Preprints, Center for Open Science, number zxf5y, Jul, DOI: 10.31219/osf.io/zxf5y.
• Gräf, Miriam & Mehler, Maren F. & Ellenrieder, Sara, 2024, "AI Strategy in Action: A Case Study on Make-or-Buy for AI-based Services," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 146709, Jul.
• Trinath Sai Subhash Reddy Pittala & Uma Maheswara R Meleti & Hemanth Vasireddy, 2024, "Unveiling Patterns in European Airbnb Prices: A Comprehensive Analytical Study Using Machine Learning Techniques," Papers, arXiv.org, number 2407.01555, Apr.
• Zi Wang & Xingcheng Xu & Yanqing Yang & Xiaodong Zhu, 2024, "Optimal Trade and Industrial Policies in the Global Economy: A Deep Learning Framework," Working Papers, University of Toronto, Department of Economics, number tecipa-781, Jul.
• Neugart, Michael, 2024, "Endogenous matching functions: An agent-based computational approach," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 146279, Jun, DOI: 10.1142/S0219525904000147.
• HRADEC Jiri & DI LEO Margherita & KOTSEV Alexander, 2024, "AI Generated Synthetic Data in Policy Applications," JRC Research Reports, Joint Research Centre, number JRC138521, Jul.
• Patrick Mellacher & Gernot Lechner, 2024, "Objectifying the Measurement of Voter Ideology with Expert Data," Graz Economics Papers, University of Graz, Department of Economics, number 2024-03, Jan.
• Asatryan, Zareh & Birkholz, Carlo & Heinemann, Friedrich, 2024, "Evidence-based policy or beauty contest? An LLM-based meta-analysis of EU cohesion policy evaluations," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 24-037.
• Nawrath, Marcel & Nowak, Agnieszka Wiktoria & Ratz, Tristan & Walenta, Danilo C. & Opitz, Juri & Ribeiro, Leonardo F. R. & Sedoc, João & Deutsch, Daniel & Mille, Simon & Liu, Yixin & Gehrmann, Sebasti, 2024, "On the Role of Summary Content Units in Text Summarization Evaluation," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 146677, Jun, DOI: 10.48550/arXiv.2404.01701.
• Andrea Baronchelli, 2023, "Shaping New Norms for AI," Papers, arXiv.org, number 2307.08564, Jul, revised Jun 2024.
• Eric Langlais & Nanxi Li, 2024, "Which Liability Laws for Artificial Intelligence?," EconomiX Working Papers, University of Paris Nanterre, EconomiX, number 2024-22.
• BORNUKOVA Kateryna & PICOS Fidel & AMORES Antonio F & BELOUSOVA Irina & CRUCES Hugo & DE AGOSTINI Paola & DE POLI Silvia & DREONI Ilda & GRUNBERGER Klaus & HERNANDEZ MARTIN Adrian & JEDRYCH VILLA Mart, 2024, "EUROMOD baseline report," JRC Working Papers on Taxation & Structural Reforms, Joint Research Centre, number 2024-03, Jun.
• Francisco Peñaranda & Enrique Sentana, 2024, "Portfolio management with big data," Working Papers, CEMFI, number wp2024_2411, Jun.

Report NEP-CMP-2024-08-19

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: