Report NEP-CMP-2020-11-23
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:
- Item repec:ssa:lemwps:2020/31 is not listed on IDEAS anymore
- Item repec:hal:wpaper:hal-02891798 is not listed on IDEAS anymore
- Pooja Gupta & Angshul Majumdar & Emilie Chouzenoux & Giovanni Chierchia, 2020, "SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems," Papers, arXiv.org, number 2011.04364, Nov.
- Ogawa, Shogo & Sasaki, Hiroaki, 2020, "Numerical Analysis of the Disequilibrium Monetary Growth Model: Secular Stagnation, Slow Convergence, and Cyclical Fluctuations," MPRA Paper, University Library of Munich, Germany, number 103845, Oct.
- Matteo Gardini & Piergiacomo Sabino & Emanuela Sasso, 2020, "A bivariate Normal Inverse Gaussian process with stochastic delay: efficient simulations and applications to energy markets," Papers, arXiv.org, number 2011.04256, Nov.
- Friederike Wall & Stephan Leitner, 2020, "Agent-based Computational Economics in Management Accounting Research: Opportunities and Difficulties," Papers, arXiv.org, number 2011.03297, Nov.
- Qing Yang & Zhenning Hong & Ruyan Tian & Tingting Ye & Liangliang Zhang, 2020, "Asset Allocation via Machine Learning and Applications to Equity Portfolio Management," Papers, arXiv.org, number 2011.00572, Nov, revised Nov 2020.
- Tadeu A. Ferreira, 2020, "Reinforced Deep Markov Models With Applications in Automatic Trading," Papers, arXiv.org, number 2011.04391, Nov.
- Mariano Zeron & Ignacio Ruiz, 2020, "Dynamic sensitivities and Initial Margin via Chebyshev Tensors," Papers, arXiv.org, number 2011.04544, Nov.
- Zhaowei She & Zilong Wang & Turgay Ayer & Asmae Toumi & Jagpreet Chhatwal, 2020, "Estimating County-Level COVID-19 Exponential Growth Rates Using Generalized Random Forests," Papers, arXiv.org, number 2011.01219, Oct, revised Nov 2020.
- Esther Rolf & Jonathan Proctor & Tamma Carleton & Ian Bolliger & Vaishaal Shankar & Miyabi Ishihara & Benjamin Recht & Solomon Hsiang, 2020, "A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery," NBER Working Papers, National Bureau of Economic Research, Inc, number 28045, Nov.
- Olivier Guéant & Iuliia Manziuk & Jiang Pu, 2020, "Accelerated Share Repurchase and other buyback programs: what neural networks can bring," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number hal-02987889, Nov.
- Lardinois, Christian & Hirou, Catherine & D'Avignon, Jacques, , "Jet-Set: JEU Educatif and Transport / Simulation for Education in Transportation," 20th Annual Canadian Transportation Research Forum, Toronto, Ontario, May 28-31, 1985, Canadian Transportation Research Forum (CTRF), number 305894, DOI: 10.22004/ag.econ.305894.
- Brian Quistorff & Gentry Johnson, 2020, "Machine Learning for Experimental Design: Methods for Improved Blocking," Papers, arXiv.org, number 2010.15966, Oct.
- Elizabeth Fons & Paula Dawson & Xiao-jun Zeng & John Keane & Alexandros Iosifidis, 2020, "Augmenting transferred representations for stock classification," Papers, arXiv.org, number 2011.04545, Oct.
- Kazuya Kaneko & Koichi Miyamoto & Naoyuki Takeda & Kazuyoshi Yoshino, 2020, "Quantum Speedup of Monte Carlo Integration with respect to the Number of Dimensions and its Application to Finance," Papers, arXiv.org, number 2011.02165, Nov, revised May 2021.
- Diunugala, Hemantha Premakumara & Mombeuil, Claudel, 2020, "Modeling and predicting foreign tourist arrivals to Sri Lanka: A comparison of three different methods," MPRA Paper, University Library of Munich, Germany, number 103779, Oct.
- Jeffrey Cohen & Clark Alexander, 2020, "Picking Efficient Portfolios from 3,171 US Common Stocks with New Quantum and Classical Solvers," Papers, arXiv.org, number 2011.01308, Oct.
- Allison Koenecke & Hal Varian, 2020, "Synthetic Data Generation for Economists," Papers, arXiv.org, number 2011.01374, Nov, revised Nov 2020.
- Maria Concetta Ambra, 2020, "Platforms from the Inside-Out," Working Papers, Sapienza University of Rome, DISS, number 19/20, Nov.
- Michael Herty & Sonja Steffensen & Anna Thunen, 2020, "Multiscale Control of Stackelberg Games," Papers, arXiv.org, number 2011.03405, Nov.
- Vanessa Alviarez & Keith Head & Thierry Mayer, 2020, "Global giants and local stars: How changes in brand ownership affect competition," Working Papers, CEPII research center, number 2020-13, Nov.
- Constandina Koki & Stefanos Leonardos & Georgios Piliouras, 2020, "Exploring the Predictability of Cryptocurrencies via Bayesian Hidden Markov Models," Papers, arXiv.org, number 2011.03741, Nov, revised Dec 2020.
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