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Report NEP-CMP-2022-04-04
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:
- Rian Dolphin & Barry Smyth & Ruihai Dong, 2022, "Stock Embeddings: Learning Distributed Representations for Financial Assets," Papers, arXiv.org, number 2202.08968, Feb.
- Giuseppe Cascarino & Mirko Moscatelli & Fabio Parlapiano, 2022, "Explainable Artificial Intelligence: interpreting default forecasting models based on Machine Learning," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 674, Mar.
- Chao Zhang & Yihuang Zhang & Mihai Cucuringu & Zhongmin Qian, 2022, "Volatility forecasting with machine learning and intraday commonality," Papers, arXiv.org, number 2202.08962, Feb, revised Feb 2023.
- Kristof Wiedermann, 2022, "An SMP-Based Algorithm for Solving the Constrained Utility Maximization Problem via Deep Learning," Papers, arXiv.org, number 2202.07771, Feb.
- Keil, Petr & Chase, Jonathan, 2022, "Interpolation of temporal biodiversity change, loss, and gain across scales: a machine learning approach," EcoEvoRxiv, Center for Open Science, number rky7b, Mar, DOI: 10.31219/osf.io/rky7b.
- Mukund Sundararajan & Walid Krichene, 2022, "Reciprocity in Machine Learning," Papers, arXiv.org, number 2202.09480, Feb.
- Damir Filipović & Markus Pelger & Ye Ye, 2022, "Stripping the Discount Curve - a Robust Machine Learning Approach," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 22-24, Mar.
- Grant, Allan & Figus, Gioele & Schubert, Torben, 2022, "Understanding the macroeconomic effects of public research: An application of a regression-microfounded CGE-model to the case of the Fraunhofer-Gesellschaft in Germany," Discussion Papers "Innovation Systems and Policy Analysis", Fraunhofer Institute for Systems and Innovation Research (ISI), number 72, DOI: 10.24406/publica-fhg-416768.
- Zimmermann, Florian & Keles, Dogan, 2022, "State or market: Investments in new nuclear power plants in France and their domestic and cross-border effects," Working Paper Series in Production and Energy, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP), number 64, DOI: 10.5445/IR/1000143448.
- Matthias Lalisse, 2022, "Measuring the Impact of Campaign Finance on Congressional Voting: A Machine Learning Approach," Working Papers Series, Institute for New Economic Thinking, number inetwp178, Feb, DOI: 10.36687/inetwp178.
- Andrés Fernández Díaz & Benito Rodríguez Mallol, 2022, "Inteligencia artificial: una reevaluación," Documentos de trabajo de la Facultad de Ciencias Económicas y Empresariales, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, number 22-01.
- Item repec:sef:csefwp:641 is not listed on IDEAS anymore
- Alexander Lipton & Artur Sepp, 2022, "Toward an efficient hybrid method for pricing barrier options on assets with stochastic volatility," Papers, arXiv.org, number 2202.07849, Feb.
- Lugo, Josefrank Pernalete & Rossel, Ysaelen Josefina Odor, 2021, "Valuation of accounts national in the system of economy of Peru, 2007-2020," OSF Preprints, Center for Open Science, number f93zu, Sep, DOI: 10.31219/osf.io/f93zu.
- Shi, Chengchun & Wang, Xiaoyu & Luo, Shikai & Zhu, Hongtu & Ye, Jieping & Song, Rui, 2022, "Dynamic causal effects evaluation in A/B testing with a reinforcement learning framework," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 113310, Jan.
- P'eter Bir'o & Gergely Cs'aji, 2022, "Strong core and Pareto-optimal solutions for the multiple partners matching problem under lexicographic preferences," Papers, arXiv.org, number 2202.05484, Feb.
- Radek Šauer, 2022, "ifo DSGE Model 2.0," ifo Working Paper Series, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 366.
- Müller, Henrik & Schmidt, Tobias & Rieger, Jonas & Hufnagel, Lena Marie & Hornig, Nico, 2022, "A German inflation narrative. How the media frame price dynamics: Results from a RollingLDA analysis," DoCMA Working Papers, TU Dortmund University, Dortmund Center for Data-based Media Analysis (DoCMA), number 9, DOI: 10.17877/DE290R-22632.