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Report NEP-CMP-2019-07-29
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:
- Bucci, Andrea, 2019, "Cholesky-ANN models for predicting multivariate realized volatility," MPRA Paper, University Library of Munich, Germany, number 95137, Jul.
- Souradeep Chakraborty, 2019, "Capturing Financial markets to apply Deep Reinforcement Learning," Papers, arXiv.org, number 1907.04373, Jul, revised Dec 2019.
- J. M. Calabuig & H. Falciani & E. A. S'anchez-P'erez, 2019, "Dreaming machine learning: Lipschitz extensions for reinforcement learning on financial markets," Papers, arXiv.org, number 1907.05697, Jul, revised Mar 2020.
- Bernard Lapeyre & J'er^ome Lelong, 2019, "Neural network regression for Bermudan option pricing," Papers, arXiv.org, number 1907.06474, Jul, revised Dec 2020.
- Alex Burnap & John R. Hauser & Artem Timoshenko, 2019, "Product Aesthetic Design: A Machine Learning Augmentation," Papers, arXiv.org, number 1907.07786, Jul, revised Nov 2022.
- Item repec:ipt:decwpa:2018-10 is not listed on IDEAS anymore
- Brummelhuis, Raymond & Luo, Zhongmin, 2019, "Bank Net Interest Margin Forecasting and Capital Adequacy Stress Testing by Machine Learning Techniques," MPRA Paper, University Library of Munich, Germany, number 94779, Mar.
- Torsten Heinrich & Juan Sabuco & J. Doyne Farmer, 2019, "A simulation of the insurance industry: The problem of risk model homogeneity," Papers, arXiv.org, number 1907.05954, Jul, revised Nov 2019.
- Chen, Siyan & Desiderio, Saul, 2019, "Job duration and inequality," Economics Discussion Papers, Kiel Institute for the World Economy, number 2019-44.
- David Easley & Eleonora Patacchini & Christopher Rojas, 2019, "Multidimensional Diffusion Processes in Dynamic Online Networks," EIEF Working Papers Series, Einaudi Institute for Economics and Finance (EIEF), number 1912, revised Jul 2019.
- Barnhart, Bradley L. & Bostian, Moriah B. & Jha, Manoj K. & Kurkalova, Lyubov A., , "Optimal conservation tradeoffs: combining bi-level optimization with genetic algorithm methods," 2019 Annual Meeting, July 21-23, Atlanta, Georgia, Agricultural and Applied Economics Association, number 291209, DOI: 10.22004/ag.econ.291209.
- Alexis Bogroff & Dominique Guégan, 2019, "Artificial Intelligence, Data, Ethics. An Holistic Approach for Risks and Regulation," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2019: 19.