Report NEP-CMP-2023-03-06

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:

• Shoshan, Vered & Hazan, Tamir & Plonsky, Ori, 2023. "BEAST-Net: Learning novel behavioral insights using a neural network adaptation of a behavioral model," OSF Preprints kaeny, Center for Open Science.
• Vikranth Lokeshwar Dhandapani & Shashi Jain, 2023. "Data-driven Approach for Static Hedging of Exchange Traded Options," Papers 2302.00728, arXiv.org, revised Jan 2024.
• Bastian Krämer & Moritz Stang & Cathrine Nagl & Wolfgang Schäfers, 2022. "Explainable AI in a Real Estate Context – Exploring the Determinants of Residential Real Estate Values," ERES 2022_50, European Real Estate Society (ERES).
• Malgorzata Renigier-Biozor & Artur Janowski & Marek Walacik & Aneta Chmielewska, 2022. "Human emotion recognition in the significance assessment of property attributes," ERES 2022_18, European Real Estate Society (ERES).
• Sutanto, Hendrik, 2023. "Desain Produk Inovatif dengan AI," OSF Preprints qkver, Center for Open Science.
• Juan Carlos Escanciano & Telmo P'erez-Izquierdo, 2023. "Automatic Locally Robust Estimation with Generated Regressors," Papers 2301.10643, arXiv.org, revised Nov 2023.
• Shuzhen Yang & Wenqing Zhang, 2023. "Fixed-point iterative algorithm for SVI model," Papers 2301.07830, arXiv.org.
• Jonathan Rothenbusch & Konstantin Schütz & Feibai Huang & Björn-Martin Kurzrock, 2022. "Machine Learning in Building Documentation (ML-BAU-DOK) - Foundations for Information Extraction for Energy Efficiency and Life Cycle Analysis," ERES 2022_234, European Real Estate Society (ERES).
• Peters, Felix, 2023. "Human-AI Interaction – Investigating the Impact on Individuals and Organizations," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 136450, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Bernardo Freitas Paulo da Costa & Silvana M. Pesenti & Rodrigo S. Targino, 2023. "Risk Budgeting Portfolios from Simulations," Papers 2302.01196, arXiv.org.
• Juan Mateos-Garcia & George Richardson, 2022. "A Bottom Up Industrial Taxonomy for the UK. Refinements and an Application," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-29, Economic Statistics Centre of Excellence (ESCoE).
• Lanier, Joshua & Large, Jeremy & Quah, John, 2022. "Estimating Very Large Demand Systems," INET Oxford Working Papers 2023-01, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
• Laura Gabrielli & Aurora Ruggeri & Massimiliano Scarpa, 2022. "A multiparametric procedure to understand how the Covid-19 influenced the real estate market," ERES 2022_178, European Real Estate Society (ERES).
• Martin Regnaud & Julie Le Gallo & Marie Breuille, 2022. "Understanding rental profit and mechanisms that yields rental and real estate prices using machine learning approach," ERES 2022_107, European Real Estate Society (ERES).
• Choi, Mincheol & Song, Danbee & Cho, Jaehan, 2021. "Expanding Corporate Use of Artificial Intelligence," i-KIET Issues and Analysis 21/4, Korea Institute for Industrial Economics and Trade.
• Lee, Heungmin, 2023. "現代の金融研究における事前学習済み言語モデルの適用," OSF Preprints jn7qw, Center for Open Science.
• Métivier, Jeanne & Bacchetta, Marc & Bekkers, Eddy & Koopman, Robert Bernard, 2023. "International trade cooperation's impact on the world economy," WTO Staff Working Papers ERSD-2023-02, World Trade Organization (WTO), Economic Research and Statistics Division.
• Morris, Tim P & White, Ian R & Pham, Tra My & Quartagno, Matteo, 2023. "How to check a simulation study," OSF Preprints cbr72, Center for Open Science.
• Lee, Heungmin, 2023. "Application of Pretrained Language Models in Modern Financial Research," OSF Preprints 5s3nw, Center for Open Science.