Printed from https://ideas.repec.org/n/nep-cmp/2023-10-02.html
Report NEP-CMP-2023-10-02
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:
- Patrick Rehill & Nicholas Biddle, 2023, "Fairness Implications of Heterogeneous Treatment Effect Estimation with Machine Learning Methods in Policy-making," Papers, arXiv.org, number 2309.00805, Sep.
- Mingyu Lee & Myeongjin Shin & Junseo Lee & Kabgyun Jeong, 2023, "Mutual information maximizing quantum generative adversarial networks," Papers, arXiv.org, number 2309.01363, Sep, revised Sep 2025.
- Andrii Babii & Eric Ghysels & Jonas Striaukas, 2023, "Econometrics of Machine Learning Methods in Economic Forecasting," Papers, arXiv.org, number 2308.10993, Aug.
- Eugene Kharitonov & Oksana Zakharchuk & Lin Mei, 2023, "Long-term Effects of Temperature Variations on Economic Growth: A Machine Learning Approach," Papers, arXiv.org, number 2308.06265, Jun.
- van den Berg, Gerard J. & Kunaschk, Max & Lang, Julia & Stephan, Gesine & Uhlendorff, Arne, 2023, "Predicting Re-Employment: Machine Learning versus Assessments by Unemployed Workers and by Their Caseworkers," IZA Discussion Papers, Institute of Labor Economics (IZA), number 16426, Sep.
- Morande, Swapnil & Arshi, Tahseen & Gul, Kanwal & Amini, Mitra, 2023, "Harnessing the Power of Artificial Intelligence to Forecast Startup Success: An Empirical Evaluation of the SECURE AI Model," SocArXiv, Center for Open Science, number p3gyb, Aug, DOI: 10.31219/osf.io/p3gyb.
- Kapil Panda, 2023, "Analysis of Optimal Portfolio Management Using Hierarchical Clustering," Papers, arXiv.org, number 2308.11202, Aug.
- Timothy DeLise, 2023, "Deep Semi-Supervised Anomaly Detection for Finding Fraud in the Futures Market," Papers, arXiv.org, number 2309.00088, Aug.
- Damien Challet & Vincent Ragel, 2023, "Recurrent Neural Networks with more flexible memory: better predictions than rough volatility," Papers, arXiv.org, number 2308.08550, Aug.
- Song Wei & Andrea Coletta & Svitlana Vyetrenko & Tucker Balch, 2023, "INTAGS: Interactive Agent-Guided Simulation," Papers, arXiv.org, number 2309.01784, Sep, revised Nov 2023.
- Brunori, Paolo & Hufe, Paul & Mahler, Daniel, 2023, "The roots of inequality: estimating inequality of opportunity from regression trees and forests," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 118220, Oct.
- Ali Asgarov, 2023, "Predicting Financial Market Trends using Time Series Analysis and Natural Language Processing," Papers, arXiv.org, number 2309.00136, Aug.
- Lefteris Loukas & Ilias Stogiannidis & Prodromos Malakasiotis & Stavros Vassos, 2023, "Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance," Papers, arXiv.org, number 2308.14634, Aug.