Report NEP-BIG-2019-08-12

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé issued this report. It is usually issued weekly.

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Other reports in NEP-BIG

The following items were announced in this report:

• 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.
• Yao-Su Hu, 2019. "The Impact of Increasing Returns on Knowledge and Big Data: From Adam Smith and Allyn Young to the Age of Machine Learning and Digital Platforms," SPRU Working Paper Series 2019-14, SPRU - Science Policy Research Unit, University of Sussex Business School.
• 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".
• Anton Korinek, 2019. "Integrating Ethical Values and Economic Value to Steer Progress in Artificial Intelligence," NBER Working Papers 26130, National Bureau of Economic Research, Inc.
• 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).
• Joseph Attia, 2019. "Evaluating the Effectiveness of Common Technical Trading Models," Papers 1907.10407, arXiv.org.
• 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.
• 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.
• Mateo Dulce Rubio, 2019. "Predicting criminal behavior with Levy flights using real data from Bogota," Documentos de Trabajo 17347, Quantil.
• Naftali Cohen & Tucker Balch & Manuela Veloso, 2019. "Trading via Image Classification," Papers 1907.10046, arXiv.org, revised Oct 2020.
• 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.
• 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.
• 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.).
• L. Ingber, 2019. "Artificial intelligence, ideas by statistical mechanics, and affective modulation of information processing," Lester Ingber Papers 19ai, Lester Ingber.
• Sant'Anna, Marcelo Castello Branco, 2019. "How green is sugarcane ethanol?," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 807, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
• Miquel-Àngel Garcia-López & Jordi Jofre-Monseny & Rodrigo Martínez Mazza & Mariona Segú, 2019. "Do short-term rental platforms affect housing markets? Evidence from Airbnb in Barcelona," Working Papers 2019/05, Institut d'Economia de Barcelona (IEB).