Report NEP-CMP-2023-07-24

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:

• Denis Koshelev & Alexey Ponomarenko & Sergei Seleznev, 2023. "Amortized Neural Networks for Agent-Based Model Forecasting," Bank of Russia Working Paper Series wps115, Bank of Russia.
• Thibault Collin, 2023. "Using Deep Learning to Hedge Rainbow Options," Working Papers hal-04060013, HAL.
• Karol Chojnacki & Robert Ślepaczuk, 2023. "This study compares well-known tools of technical analysis (Moving Average Crossover MAC) with Machine Learning based strategies (LSTM and XGBoost) and Ensembled Machine Learning Strategies (LSTM ense," Working Papers 2023-15, Faculty of Economic Sciences, University of Warsaw.
• Item repec:ags:aaea22:335521 is not listed on IDEAS anymore

• Falco J. Bargagli-Stoffi & Fabio Incerti & Massimo Riccaboni & Armando Rungi, 2023. "Machine Learning for Zombie Hunting: Predicting Distress from Firms' Accounts and Missing Values," Papers 2306.08165, arXiv.org.
• Ilias Chronopoulos & Katerina Chrysikou & George Kapetanios & James Mitchell & Aristeidis Raftapostolos, 2023. "Deep Neural Network Estimation in Panel Data Models," Working Papers 23-15, Federal Reserve Bank of Cleveland.
• Cassidy K. Buhler & Hande Y. Benson, 2023. "Efficient Solution of Portfolio Optimization Problems via Dimension Reduction and Sparsification," Papers 2306.12639, arXiv.org.
• Jesús Fernández-Villaverde & Isaiah Hull, 2023. "Dynamic Programming on a Quantum Annealer: Solving the RBC Model," CESifo Working Paper Series 10500, CESifo.
• Marco Catola & Silvia Leoni, 2023. "Pollution Abatement and Lobbying in a Cournot Game. An Agent-Based Modelling approach," Discussion Papers 2023/294, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
• Xinli Yu & Zheng Chen & Yuan Ling & Shujing Dong & Zongyi Liu & Yanbin Lu, 2023. "Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting," Papers 2306.11025, arXiv.org.
• Xiaoyue Li & John M. Mulvey, 2023. "Optimal Portfolio Execution in a Regime-switching Market with Non-linear Impact Costs: Combining Dynamic Program and Neural Network," Papers 2306.08809, arXiv.org.
• Leonardo Bargigli & Filippo Pietrini, 2023. "An agent based model of fads," Working Papers - Economics wp2023_01.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
• Carlo Drago & Loris Di Nallo & Maria Lucetta Russotto, 2023. "Social Sustainability in European Banks: A Machine Learning Approach using Interval- Based Composite Indicators," Working Papers 2023.13, Fondazione Eni Enrico Mattei.
• Okan Erol, Kazim, 2022. "TURKMOD: developing a tax and benefit microsimulation model for Turkey," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA1/22, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
• Fabio Baschetti & Giacomo Bormetti & Pietro Rossi, 2023. "Deep calibration with random grids," Papers 2306.11061, arXiv.org, revised Jan 2024.
• Gaël Le Mens & Balász Kovács & Michael T. Hannan & Guillem Pros, 2023. "Uncovering the semantics of concepts using GPT-4 and Other recent large language models," Economics Working Papers 1864, Department of Economics and Business, Universitat Pompeu Fabra.
• Kai Feng & Han Hong & Ke Tang & Jingyuan Wang, 2023. "Statistical Tests for Replacing Human Decision Makers with Algorithms," Papers 2306.11689, arXiv.org, revised Dec 2024.
• Oecd, 2023. "Regulatory sandboxes in artificial intelligence," OECD Digital Economy Papers 356, OECD Publishing.
• Lin Liu & Rajarshi Mukherjee & James M. Robins, 2023. "Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators," Papers 2306.10590, arXiv.org, revised Aug 2023.
• Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2022. "Dynamic simulation of taxes and welfare benefits by database imputation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA3/22, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
• Evelina Gavrilova & Audun Langørgen & Floris T. Zoutman & Floris Zoutman, 2023. "Dynamic Causal Forests, with an Application to Payroll Tax Incidence in Norway," CESifo Working Paper Series 10532, CESifo.
• Astrid Bertrand & James Eagan & Winston Maxwell, 2023. "Questioning the ability of feature-based explanations to empower non-experts in robo-advised financial decision-making," Post-Print hal-04125939, HAL.
• Richiardi, Matteo & Bronka, Patryk, 2022. "LABSim: a dynamic life course model of individual life course trajectories for Italy," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA5/22, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
• Alex Kim & Maximilian Muhn & Valeri Nikolaev, 2023. "Bloated Disclosures: Can ChatGPT Help Investors Process Information?," Papers 2306.10224, arXiv.org, revised Feb 2024.