Report NEP-CMP-2019-08-12

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:

• Heinrich, Torsten & Sabuco, Juan & Farmer, J. Doyne, 2019. "A simulation of the insurance industry: The problem of risk model homogeneity," MPRA Paper 95096, University Library of Munich, Germany.
• Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2020. "Winter is possibly not coming: Mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main halshs-03046545, HAL.
• Magni, Carlo Alberto & Malagoli, Stefano & Marchioni, Andrea & Mastroleo, Giovanni, 2019. "Rating firms and sensitivity analysis," MPRA Paper 95265, University Library of Munich, Germany.
• Jian Liang & Zhe Xu & Peter Li, 2019. "Deep Learning-Based Least Square Forward-Backward Stochastic Differential Equation Solver for High-Dimensional Derivative Pricing," Papers 1907.10578, arXiv.org, revised Oct 2020.
• Mateo Dulce Rubio, 2019. "Predicting criminal behavior with Levy flights using real data from Bogota," Documentos de Trabajo 17347, Quantil.
• Elizabeth Jane Casabianca & Michele Catalano & Lorenzo Forni & Elena Giarda & Simone Passeri, 2019. "An Early Warning System for banking crises: From regression-based analysis to machine learning techniques," "Marco Fanno" Working Papers 0235, Dipartimento di Scienze Economiche "Marco Fanno".
• Martin Wiegand, 2019. "Do early-ending conditional cash transfer programs crowd out school enrollment?," Tinbergen Institute Discussion Papers 19-053/V, Tinbergen Institute.
• USUKI Teppei & KONDO Satoshi & SHIRAKI Kengo & SUGA Miki & MIYAKAWA Daisuke, 2019. "Using Machine Learning to Detect and Predict Corporate Accounting Fraud (Japanese)," Discussion Papers (Japanese) 19039, Research Institute of Economy, Trade and Industry (RIETI).
• Olivier Gu'eant & Iuliia Manziuk & Jiang Pu, 2019. "Accelerated Share Repurchase and other buyback programs: what neural networks can bring," Papers 1907.09753, arXiv.org, revised Nov 2019.
• Zuzana Mucka, 2019. "The mirror does not lie: Endogenous fiscal limits for Slovakia," Working Papers Working Paper No. 2/2019, Council for Budget Responsibility.
• Schauder, Stephanie A. & Thomsen, Michael R. & Nayga, Rodolfo M., 2019. "The Effect of the Fresh Fruit and Vegetable Program (FFVP) on Fruit and Vegetable Consumption: An Agent Based Modeling Approach," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 290942, Agricultural and Applied Economics Association.
• Alexis Bogroff & Dominique Guegan, 2019. "Artificial Intelligence, Data, Ethics: An Holistic Approach for Risks and Regulation," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02181597, HAL.
• Lewis Gaul & Jonathan Jones & Pinar Uysal, 2019. "Forecasting High-Risk Composite CAMELS Ratings," International Finance Discussion Papers 1252, Board of Governors of the Federal Reserve System (U.S.).
• Joseph Attia, 2019. "Evaluating the Effectiveness of Common Technical Trading Models," Papers 1907.10407, arXiv.org.
• Mustafa Caglayan & Tho Pham & Oleksandr Talavera & Xiong Xiong, 2019. "Asset mispricing in loan secondary markets," Discussion Papers 19-07, Department of Economics, University of Birmingham.
• Draca, Mirko & Schwarz, Carlo, 2019. "How Polarized are Citizens? Measuring Ideology from the Ground-Up," The Warwick Economics Research Paper Series (TWERPS) 1218, University of Warwick, Department of Economics.
• Nassim Nicholas Taleb, 2019. "On the Statistical Differences between Binary Forecasts and Real World Payoffs," Papers 1907.11162, arXiv.org, revised Dec 2019.