Printed from https://ideas.repec.org/n/nep-cmp/2026-02-23.html
Report NEP-CMP-2026-02-23
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:
- Nicholas Lacoste & Zehra Farooq, 2026, "Optimal Audit Targeting with Machine Learning: Evidence from Pakistan," Working Papers, Tulane University, Department of Economics, number 2603, Feb.
- Junyu Chen & Tom Boot & Lingwei Kong & Weining Wang, 2026, "Transformer-based CoVaR: Systemic Risk in Textual Information," Papers, arXiv.org, number 2602.12490, Feb.
- Chouech, Olfa, 2025, "Predicting Corporate ESG Scores from Financial Performance and Environmental Indicators: A Machine Learning Framework," MPRA Paper, University Library of Munich, Germany, number 127272, Sep, revised 10 Dec 2025.
- Aijie Shu & Wenbin Wu & Gbenga Ibikunle & Fengxiang He, 2026, "DeXposure-FM: A Time-series, Graph Foundation Model for Credit Exposures and Stability on Decentralized Financial Networks," Papers, arXiv.org, number 2602.03981, Feb.
- Bouillot, Roland & Candelon, Bertrand & Kool, Clemens, 2025, "Forecasting European Sovereign Spreads using Machine Learning," LIDAM Discussion Papers LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2025004, Nov.
- Ozili, Peterson K & Obiora, Kingsley & Onuzo, Chinwe, 2025, "Artificial Intelligence and Financial Stability Risks in Nigeria," MPRA Paper, University Library of Munich, Germany, number 127370.
- Yang ZHANG & Ziang QIU Ziang & Donghyun PARK & Shu TIAN, 2026, "Role of Artificial Intelligence in Finance: Selective Literature Review and Implications for Asia's Financial Stability," Working Papers, South East Asian Central Banks (SEACEN) Research and Training Centre, number wp61, Feb, revised Feb 2026.
- Christopher Kops & Elias Tsakas, 2026, "Choice via AI," Papers, arXiv.org, number 2602.04526, Feb.
- M. Merritt Smith & Emily Aiken & Joshua E. Blumenstock & Sveta Milusheva, 2026, "Predicting Well-Being with Mobile Phone Data: Evidence from Four Countries," Papers, arXiv.org, number 2602.02805, Feb.
- Dylan Herman & Yue Sun & Jin-Peng Liu & Marco Pistoia & Charlie Che & Rob Otter & Shouvanik Chakrabarti & Aram Harrow, 2026, "Quantum Speedups for Derivative Pricing Beyond Black-Scholes," Papers, arXiv.org, number 2602.03725, Feb.
- T. Di Matteo & L. Riso & M. G. Zoia, 2026, "A Novel approach to portfolio construction," Papers, arXiv.org, number 2602.03325, Feb.
- Briggs, Ryan C. & Mellon, Jonathan & Arel-Bundock, Vincent, 2026, "It must be very hard to publish null results," I4R Discussion Paper Series, The Institute for Replication (I4R), number 281.
- Qiankun Zhong & Thomas F. Eisenmann & Julian Garcia & Iyad Rahwan, 2026, "Group Selection as a Safeguard Against AI Substitution," Papers, arXiv.org, number 2602.03541, Feb.
- Tiancheng Wang & Krishna Sharma, 2026, "AI Assisted Economics Measurement From Survey: Evidence from Public Employee Pension Choice," Papers, arXiv.org, number 2602.02604, Feb.
- Dohyun Ahn & Agostino Capponi, 2026, "Efficient Monte Carlo Valuation of Corporate Bonds in Financial Networks," Papers, arXiv.org, number 2602.12770, Feb.