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Report NEP-CMP-2021-11-01
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:
- Shareefuddin Mohammed & Rusty Bealer & Jason Cohen, 2021, "Embracing advanced AI/ML to help investors achieve success: Vanguard Reinforcement Learning for Financial Goal Planning," Papers, arXiv.org, number 2110.12003, Oct.
- Börschlein, Benjamin & Bossler, Mario, 2021, "A new machine learning-based treatment bite for long run minimum wage evaluations," VfS Annual Conference 2021 (Virtual Conference): Climate Economics, Verein für Socialpolitik / German Economic Association, number 242441.
- Tugce Karatas & Ali Hirsa, 2021, "Predicting Status of Pre and Post M&A Deals Using Machine Learning and Deep Learning Techniques," Papers, arXiv.org, number 2110.09315, Aug.
- Jaydip Sen & Rajdeep Sen & Abhishek Dutta, 2021, "Machine Learning in Finance-Emerging Trends and Challenges," Papers, arXiv.org, number 2110.11999, Oct.
- Nadia Lakhal & Asma Guizani & Asma Sghaier & Mohammed El َamine Abdelli & Imen Ben Slimene, 2021, "The impact of CSR performance on Efficiency of Investments using Machine Learning," Post-Print, HAL, number hal-03375264, Sep.
- Maria Begicheva & Alexey Zaytsev, 2021, "Bank transactions embeddings help to uncover current macroeconomics," Papers, arXiv.org, number 2110.12000, Oct, revised Dec 2021.
- Artem Kuriksha, 2021, "An Economy of Neural Networks: Learning from Heterogeneous Experiences," Papers, arXiv.org, number 2110.11582, Oct.
- Douglas Castilho & Tharsis T. P. Souza & Soong Moon Kang & Jo~ao Gama & Andr'e C. P. L. F. de Carvalho, 2021, "Forecasting Financial Market Structure from Network Features using Machine Learning," Papers, arXiv.org, number 2110.11751, Oct.
- Michael Macgregor Perry & Hadi El-Amine, 2021, "Computational Efficiency in Multivariate Adversarial Risk Analysis Models," Papers, arXiv.org, number 2110.12572, Oct.
- Blanka Horvath & Zacharia Issa & Aitor Muguruza, 2021, "Clustering Market Regimes using the Wasserstein Distance," Papers, arXiv.org, number 2110.11848, Oct.
- Shumilov, Andrei, 2021, "Анализ Неопределенности В Интегрированных Моделях Климата И Экономики: Обзор Литературы
[Uncertainty analysis in integrated assessment models of the economics of climate change: a literature survey]," MPRA Paper, University Library of Munich, Germany, number 110171. - Lorenzo Di Domenico, 2021, "Multiplicity and not necessarily heterogeneity: implications for the long-run degree of capacity utilization," Working Papers, Post Keynesian Economics Society (PKES), number PKWP2116, Oct.
- Jonathan Taglialatela & Andrea Mina, 2021, "Innovation, asymmetric information and the capital structure of new firms," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2021/36, Oct.
- Nada Wasi & Chinnawat Devahastin Na Ayudhya & Pucktada Treeratpituk & Chommanart Nittayo, 2021, "Understanding a Less Developed Labor Market through the Lens of Social Security Data," PIER Discussion Papers, Puey Ungphakorn Institute for Economic Research, number 147, Jan.