Report NEP-CMP-2024-07-29

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:

• Yuhui Jin, 2024, "GraphCNNpred: A stock market indices prediction using a Graph based deep learning system," Papers, arXiv.org, number 2407.03760, Jul, revised Jul 2024.
• Yanqing Yang & Xingcheng Xu & Jinfeng Ge & Yan Xu, 2024, "Machine Learning for Economic Forecasting: An Application to China's GDP Growth," Papers, arXiv.org, number 2407.03595, Jul.
• Cristian Chica & Yinglong Guo & Gilad Lerman, 2024, "Artificial Intelligence and Algorithmic Price Collusion in Two-sided Markets," Papers, arXiv.org, number 2407.04088, Jul.
• Item repec:ags:aaea22:343836 is not listed on IDEAS anymore

• Item repec:ags:aaea22:343727 is not listed on IDEAS anymore

• Feng Xu & Yan Yin & Xinyu Zhang & Tianyuan Liu & Shengyi Jiang & Zongzhang Zhang, 2024, "$\text{Alpha}^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning," Papers, arXiv.org, number 2406.16505, Jun, revised Jun 2024.
• Zexing Xu & Linjun Zhang & Sitan Yang & Rasoul Etesami & Hanghang Tong & Huan Zhang & Jiawei Han, 2024, "F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data," Papers, arXiv.org, number 2406.16221, Jun.
• Raeid Saqur, 2024, "What Teaches Robots to Walk, Teaches Them to Trade too -- Regime Adaptive Execution using Informed Data and LLMs," Papers, arXiv.org, number 2406.15508, Jun.
• Adam Korniejczuk & Robert 'Slepaczuk, 2024, "Statistical arbitrage in multi-pair trading strategy based on graph clustering algorithms in US equities market," Papers, arXiv.org, number 2406.10695, Jun.
• Sang-Ha Yoon, 2024, "Developing an International Macroeconomic Forecasting Model Based on Big Data," World Economy Brief, Korea Institute for International Economic Policy, number 24-18, Jun.
• Felderer, Barbara & Repke, Lydia & Weber, Wiebke & Schweisthal, jonas & Bothmann, Ludwig, 2024, "Predicting the Validity and Reliability of Survey Questions," OSF Preprints, Center for Open Science, number hkngd, Jun, DOI: 10.31219/osf.io/hkngd.
• Item repec:ags:aaea22:344016 is not listed on IDEAS anymore

• Zuzanna Kostecka & Robert 'Slepaczuk, 2024, "Improving Realized LGD Approximation: A Novel Framework with XGBoost for Handling Missing Cash-Flow Data," Papers, arXiv.org, number 2406.17308, Jun.
• Susan Athey & Herman Brunborg & Tianyu Du & Ayush Kanodia & Keyon Vafa, 2024, "LABOR-LLM: Language-Based Occupational Representations with Large Language Models," Papers, arXiv.org, number 2406.17972, Jun, revised Jan 2026.
• Item repec:ags:aaea22:344020 is not listed on IDEAS anymore

• Takeshi Fukasawa, 2024, "Computationally Efficient Methods for Solving Discrete-time Dynamic models with Continuous Actions," Papers, arXiv.org, number 2407.04227, Jul, revised Feb 2025.
• Khudri, Md Mohsan & Hussey, Andrew, 2024, "Breastfeeding and Child Development Outcomes across Early Childhood and Adolescence: Doubly Robust Estimation with Machine Learning," IZA Discussion Papers, Institute of Labor Economics (IZA), number 17080, Jun.
• Resta, Emanuela & Logroscino, Giancarlo & Tafuri, Silvio & Peter, Preethymol & Noviello, Chiara & Costantiello, Alberto & Leogrande, Angelo, 2024, "The ESG Determinants of Mental Health Index Across Italian Regions: A Machine Learning Approach," MPRA Paper, University Library of Munich, Germany, number 121204, Jun.
• Dawid, Herbert & Gemkow, Simon & Harting, Philipp & Kabus, Kordian & Neugart, Michael & Wersching, Klaus, 2024, "Skills, Innovation, and Growth: An Agent-Based Policy Analysis," 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 146365, Jul, DOI: 10.1515/jbnst-2008-2-307.
• Fernando Acebes & M Pereda & David Poza & Javier Pajares & Jose M Galan, 2024, "Stochastic Earned Value Analysis using Monte Carlo Simulation and Statistical Learning Techniques," Papers, arXiv.org, number 2406.02589, May.
• Dawid, Herbert & Neugart, Michael, 2024, "Effects of technological change and automation on industry structure and (wage-)inequality: insights from a dynamic task-based model," 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 146300, Jun, DOI: 10.1007/s00191-022-00803-5.
• Nicolas Apfel & Julia Hatamyar & Martin Huber & Jannis Kueck, 2024, "Learning control variables and instruments for causal analysis in observational data," Papers, arXiv.org, number 2407.04448, Jul, revised Sep 2025.
• Sarra Ben Yahia & Jose Angel Garcia Sanchez & Rania Hentati Kaffel, 2024, "Impact of Sentiment analysis on Energy Sector Stock Prices : A FinBERT Approach," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number hal-04629569, Jun.
• Batabyal, Amitrajeet & Kourtit, Karima & Nijkamp, Peter, 2023, "Artificial Intelligence Based Technologies and Economic Growth in a Creative Region," MPRA Paper, University Library of Munich, Germany, number 121328, Dec, revised 17 Apr 2024.
• Dawid, H. & Harting, P. & Neugart, M., 2024, "Fiscal transfers and regional economic growth," 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 146302, Jun, DOI: 10.1111/roie.12317.
• Brevin Franklin & Emily Silcock & Abhishek Arora & Tom Bryan & Melissa Dell, 2024, "News Deja Vu: Connecting Past and Present with Semantic Search," Papers, arXiv.org, number 2406.15593, Jun, revised Dec 2024.
• Orson Mengara, 2024, "Trading Devil: Robust backdoor attack via Stochastic investment models and Bayesian approach," Papers, arXiv.org, number 2406.10719, Jun, revised Apr 2025.
• Will Hicks, 2024, "Modelling Uncertain Volatility Using Quantum Stochastic Calculus: Unitary vs Non-Unitary Time Evolution," Papers, arXiv.org, number 2407.04520, Jul.
• Abhishek Arora & Emily Silcock & Leander Heldring & Melissa Dell, 2024, "Contrastive Entity Coreference and Disambiguation for Historical Texts," Papers, arXiv.org, number 2406.15576, Jun.
• Igor Sadoune & Marcelin Joanis & Andrea Lodi, 2024, "Algorithmic Collusion And The Minimum Price Markov Game," Papers, arXiv.org, number 2407.03521, Jul, revised Mar 2025.
• Item repec:ags:aaea22:343814 is not listed on IDEAS anymore

• Philipp Wirth & Francesca Medda & Thomas Schroder, 2024, "Longitudinal market structure detection using a dynamic modularity-spectral algorithm," Papers, arXiv.org, number 2407.04500, Jul.
• Alexander Quispe & Rodrigo Grijalba, 2024, "Impact of the Availability of ChatGPT on Software Development: A Synthetic Difference in Differences Estimation using GitHub Data," Papers, arXiv.org, number 2406.11046, Jun.
• Giovanni Cerulli, 2024, "Optimal policy learning using Stata," Italian Stata Users' Group Meetings 2024, Stata Users Group, number 02, May.
• Subhankar Ghosh & Jayant Gupta & Arun Sharma & Shuai An & Shashi Shekhar, 2024, "Reducing False Discoveries in Statistically-Significant Regional-Colocation Mining: A Summary of Results," Papers, arXiv.org, number 2407.02536, Jul.
• Mridu Prabal Goswami, 2024, "Strategy-proof Selling: a Geometric Approach," Papers, arXiv.org, number 2406.12279, Jun, revised Jul 2024.
• H. Peter Boswijk & Jun Yu & Yang Zu, 2024, "Testing for an Explosive Bubble using High-Frequency Volatility," Working Papers, University of Macau, Faculty of Business Administration, number 202402, Jun.

Report NEP-CMP-2024-07-29

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: