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.

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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.
• Lee, Sangkyu, 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. "Rethinking Inflation in an Agent-Based Macroeconomic Model," GREDEG Working Papers 2023-14, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
• 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.
• Bruns-Smith, David & Feller, Avi & Nakamura, Emi, 2023. "Using Supervised Learning to Estimate Inequality in the Size and Persistence of Income Shocks," Department of Economics, Working Paper Series qt1zg3z4mb, Department of Economics, Institute for Business and Economic Research, UC Berkeley.