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Report NEP-CMP-2023-11-13
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:
- Freek Holvoet & Katrien Antonio & Roel Henckaerts, 2023, "Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff," Papers, arXiv.org, number 2310.12671, Oct, revised Jan 2025.
- Ajit Desai, 2023, "Machine learning for economics research: when, what and how," Staff Analytical Notes, Bank of Canada, number 2023-16, Oct, DOI: 10.34989/san-2023-16.
- Zoran Stoiljkovic, 2023, "Applying Reinforcement Learning to Option Pricing and Hedging," Papers, arXiv.org, number 2310.04336, Oct.
- Yujie Ding & Shuai Jia & Tianyi Ma & Bingcheng Mao & Xiuze Zhou & Liuliu Li & Dongming Han, 2023, "Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction," Papers, arXiv.org, number 2310.05627, Oct.
- Zhengmeng Xu & Yujie Wang & Xiaotong Feng & Yilin Wang & Yanli Li & Hai Lin, 2023, "Quantum-Enhanced Forecasting: Leveraging Quantum Gramian Angular Field and CNNs for Stock Return Predictions," Papers, arXiv.org, number 2310.07427, Oct, revised Dec 2023.
- Igor Sadoune & Marcelin Joanis & Andrea Lodi, 2023, "Implementing a Hierarchical Deep Learning Approach for Simulating multilevel Auction Data," CIRANO Working Papers, CIRANO, number 2023s-23, Oct.
- Item repec:aez:wpaper:02/2022 is not listed on IDEAS anymore
- Sarit Maitra & Vivek Mishra & Goutam Kr. Kundu & Kapil Arora, 2023, "Integration of Fractional Order Black-Scholes Merton with Neural Network," Papers, arXiv.org, number 2310.04464, Oct, revised Oct 2023.
- Mikhaylov, Dmitry, 2023, "Macroeconomic Forecasting with the Use of News Data," Working Papers, Russian Presidential Academy of National Economy and Public Administration, number w20220250, Apr.
- Bolivar, Osmar, 2023, "Evolución de la pobreza en las comunidades de Bolivia entre 2012 y 2022: Un enfoque de machine learning y teledetección
[Evolution of poverty in Bolivian communities between 2012 and 2022: A machin," MPRA Paper, University Library of Munich, Germany, number 118932, Aug. - Abdul Latif Baydoun, 2022, "Artificial intelligence and ethical consumer agency," Post-Print, HAL, number hal-04214774, Jun.
- Cyril Bachelard & Apostolos Chalkis & Vissarion Fisikopoulos & Elias Tsigaridas, 2023, "Randomized geometric tools for anomaly detection in stock markets," Post-Print, HAL, number hal-04223511, Apr.
- Michael E. Glinsky & Sharon Sievert, 2023, "A new economic and financial theory of money," Papers, arXiv.org, number 2310.04986, Oct, revised Jul 2025.
- Boyu Zhang & Hongyang Yang & Tianyu Zhou & Ali Babar & Xiao-Yang Liu, 2023, "Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models," Papers, arXiv.org, number 2310.04027, Oct, revised Nov 2023.
- Kauhanen, Antti & Pajarinen, Mika & Rouvinen, Petri, 2023, "On the Impacts of Generative Artificial Intelligence," ETLA Brief, The Research Institute of the Finnish Economy, number 128, Oct.
- Daniele Condorelli & Massimiliano Furlan, 2023, "Cheap Talking Algorithms," Papers, arXiv.org, number 2310.07867, Oct, revised Oct 2024.
- Neng Wang & Hongyang Yang & Christina Dan Wang, 2023, "FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets," Papers, arXiv.org, number 2310.04793, Oct, revised Nov 2023.
- Tom Bryan & Jacob Carlson & Abhishek Arora & Melissa Dell, 2023, "EfficientOCR: An Extensible, Open-Source Package for Efficiently Digitizing World Knowledge," Papers, arXiv.org, number 2310.10050, Oct.
- Alfarisi, Omar, 2023, "Artificial Earth Economics General Intelligence AEEGI," OSF Preprints, Center for Open Science, number hn49b, Oct, DOI: 10.31219/osf.io/hn49b.
- Saeid Vaghefi & Qian Wang & Veruska Muccione & Jingwei Ni & Mathias Kraus & Julia Bingler & Tobias Schimanski & Chiara Colesanti Senni & Nicolas Webersinke & Christian Huggel & Markus Leippold, 2023, "ChatClimate: Grounding Conversational AI in Climate Science," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-88, Oct.