Report NEP-CMP-2023-10-09

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:

• German Rodikov & Nino Antulov-Fantulin, 2023. "Introducing the $\sigma$-Cell: Unifying GARCH, Stochastic Fluctuations and Evolving Mechanisms in RNN-based Volatility Forecasting," Papers 2309.01565, arXiv.org.
• Abir Sridi & Paul Bilokon, 2023. "Applying Deep Learning to Calibrate Stochastic Volatility Models," Papers 2309.07843, arXiv.org, revised Sep 2023.
• Emiel Lemahieu & Kris Boudt & Maarten Wyns, 2023. "Generating drawdown-realistic financial price paths using path signatures," Papers 2309.04507, arXiv.org.
• Luke Sanborn & Matthew Sahagun, 2023. "Media Moments and Corporate Connections: A Deep Learning Approach to Stock Movement Classification," Papers 2309.06559, arXiv.org.
• Pletcher, Scott Nicholas, 2023. "Starting Slowly to Go Fast Deep Dive in the Context of AI Pilot Projects," OSF Preprints 8jqzu, Center for Open Science.
• Lawson,Cina & Koudeka, Morlé & Cardenas Martinez,Ana Lucia & Alberro Encinas,Luis Inaki & Karippacheril, Tina George, 2023. "Novissi Togo - Harnessing Artificial Intelligence to Deliver Shock-Responsive Social Protection," Social Protection Discussion Papers and Notes 184975, The World Bank.
• Christopher Bockel-Rickermann & Sam Verboven & Tim Verdonck & Wouter Verbeke, 2023. "A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions," Papers 2309.03730, arXiv.org.
• Chen Liu & Minh-Ngoc Tran & Chao Wang & Richard Gerlach & Robert Kohn, 2023. "Data Scaling Effect of Deep Learning in Financial Time Series Forecasting," Papers 2309.02072, arXiv.org, revised May 2024.
• Sami Ben Jabeur & Rabeh Khalfaoui & Wissal Ben Arfi, 2021. "The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning," Post-Print hal-03797577, HAL.
• Felix Chopra & Ingar Haaland, 2023. "Conducting qualitative interviews with AI," CEBI working paper series 23-06, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
• Tanvir Ahmed Khan, 2023. "Can Unbiased Predictive AI Amplify Bias?," Working Paper 1510, Economics Department, Queen's University.
• Bouzid Merouane, 2023. "The future of artificial intelligence in the Arab world The experience of some Arab countries," Post-Print hal-04183436, HAL.
• Rong Du & Duy-Minh Dang, 2023. "Fourier Neural Network Approximation of Transition Densities in Finance," Papers 2309.03966, arXiv.org, revised Sep 2024.
• Omerovic Smajlovic, Mirheta & Zöll, Anne & Rami, Alhasan, 2023. "Building Sustainable Business Practices: Design Principles for Reusable Artificial Intelligence," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138495, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Yang Li & Yangyang Yu & Haohang Li & Zhi Chen & Khaldoun Khashanah, 2023. "TradingGPT: Multi-Agent System with Layered Memory and Distinct Characters for Enhanced Financial Trading Performance," Papers 2309.03736, arXiv.org.
• Paul Bilokon & Burak Gunduz, 2023. "C++ Design Patterns for Low-latency Applications Including High-frequency Trading," Papers 2309.04259, arXiv.org.
• Pinski, Marc & Hofmann, Thomas & Benlian, Alexander, 2023. "Executive AI Literacy: A Text-Mining Approach to Understand Existing and Demanded AI Skills of Leaders in Unicorn Firms," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 139226, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Weber, Patrick & Baum, Lorenz & Pinski, Marc, 2023. "Messung von AI Literacy – Empirische Evidenz und Implikationen," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 139225, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Laifa Assala & Hadouga Hassiba, 2023. "Using Microsoft Power BI for sales forecasting as a data mining technique," Post-Print hal-04183450, HAL.
• Dunleavy, Patrick & Margetts, Helen, 2023. "Data science, artificial intelligence and the third wave of digital era governance," OSF Preprints f3rza, Center for Open Science.