Report NEP-CMP-2023-12-04

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, or Bluesky.

Other reports in NEP-CMP

The following items were announced in this report:

• Ryan Chipwanya, 2023. "Stock Market Directional Bias Prediction Using ML Algorithms," Papers 2310.16855, arXiv.org.
• Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Working Papers 23-04, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Nov 2023.
• Sangkyu Lee, 2023. "Strategies for Optimizing Policy Outcomes through Machine Learning: A Case Study on Korean R&D Project Assessment," Industrial Economic Review 23-22, Korea Institute for Industrial Economics and Trade.
• Nabeel, Rao, 2023. "Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information," OSF Preprints 82pqr, Center for Open Science.
• Xiong Xiong & Fan Yang & Li Su, 2023. "Popularity, face and voice: Predicting and interpreting livestreamers' retail performance using machine learning techniques," Papers 2310.19200, arXiv.org.
• Grzegorz Marcjasz & Tomasz Serafin & Rafal Weron, 2023. "Trading on short-term path forecasts of intraday electricity prices. Part II -- Distributional Deep Neural Networks," WORking papers in Management Science (WORMS) WORMS/23/01, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
• Gebreel, Alia Youssef, 2023. "Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by non-human animals and humans Click to," OSF Preprints 6we4m, Center for Open Science.
• Marco Delogu & Raffaelle Lagravinese & Dimitri Paolini & Giuliano Resce, 2020. "Predicting dropout from higher education: Evidence from Italy," DEM Discussion Paper Series 22-06, Department of Economics at the University of Luxembourg.
• Ola, Aranuwa Felix, 2023. "Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by non-human animals and humans Click to," OSF Preprints u7rpv, Center for Open Science.
• Nian Si, 2023. "Tackling Interference Induced by Data Training Loops in A/B Tests: A Weighted Training Approach," Papers 2310.17496, arXiv.org, revised Apr 2024.
• Kang Gao & Stephen Weston & Perukrishnen Vytelingum & Namid R. Stillman & Wayne Luk & Ce Guo, 2023. "Deeper Hedging: A New Agent-based Model for Effective Deep Hedging," Papers 2310.18755, arXiv.org.
• Mariam Dundua & Otar Gorgodze, 2022. "Application of Artificial Intelligence for Monetary Policy-Making," NBG Working Papers 02/2022, National Bank of Georgia.
• Mignot, Sarah & Westerhoff, Frank H., 2023. "Explaining the stylized facts of foreign exchange markets with a simple agent-based version of Paul de Grauwe's chaotic exchange rate model," BERG Working Paper Series 189, Bamberg University, Bamberg Economic Research Group.
• Hendrik Jenett, 2023. "Composition of Real Estate Values: Analyzing Time-Varying Credit and Market Data Using Neural Networks," ERES eres2023_183, European Real Estate Society (ERES).
• Bastian Krämer & Moritz Stang & Vanja Doskoc & Wolfgang Schäfers & Friedrich Tobias, 2023. "Automated Valuation Models: Improving Model Performance by Choosing the Optimal Spatial Training Level," ERES eres2023_120, European Real Estate Society (ERES).
• Marcelo DEL Cajias & Anna Freudenreich, 2023. "What are tenants demanding the most? A machine learning approach for the prediction of time on market," ERES eres2023_35, European Real Estate Society (ERES).
• Seulki Chung, 2023. "Inside the black box: Neural network-based real-time prediction of US recessions," Papers 2310.17571, arXiv.org, revised May 2024.
• Chaohua Dong & Jiti Gao & Bin Peng & Yayi Yan, 2023. "Estimation and Inference for a Class of Generalized Hierarchical Models," Papers 2311.02789, arXiv.org, revised Apr 2024.
• Leonardo Ciambezi & Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2023. "Accounting for the Multiple Sources of Inflation: an Agent-Based Model Investigation," GREDEG Working Papers 2023-14, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Jun 2024.
• Goel, Rajeev K. & Nelson, Michael A., 2023. "Awareness of artificial intelligence: Diffusion of information about AI versus ChatGPT in the United States," Kiel Working Papers 2259, Kiel Institute for the World Economy (IfW Kiel).
• Charles I. Jones, 2023. "The A.I. Dilemma: Growth versus Existential Risk," NBER Working Papers 31837, National Bureau of Economic Research, Inc.
• Thomas R. Cook & Sophia Kazinnik & Anne Lundgaard Hansen & Peter McAdam, 2023. "Evaluating Local Language Models: An Application to Bank Earnings Calls," Research Working Paper RWP 23-12, Federal Reserve Bank of Kansas City.
• Item repec:cdl:econwp:qt1zg3z4mb is not listed on IDEAS anymore