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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 (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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), HAL, number halshs-02181597, Jun.
- 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, SPRU - Science Policy Research Unit, University of Sussex Business School, number 2019-14, Jun.
- 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, Dipartimento di Scienze Economiche "Marco Fanno", number 0235, Aug.
- Anton Korinek, 2019, "Integrating Ethical Values and Economic Value to Steer Progress in Artificial Intelligence," NBER Working Papers, National Bureau of Economic Research, Inc, number 26130, Aug.
- Teppei USUKI & Satoshi KONDO & Kengo SHIRAKI & Miki SUGA & Daisuke MIYAKAWA, 2019, "Using Machine Learning to Detect and Predict Corporate Accounting Fraud (Japanese)," Discussion Papers (Japanese), Research Institute of Economy, Trade and Industry (RIETI), number 19039, Jul.
- Joseph Attia, 2019, "Evaluating the Effectiveness of Common Technical Trading Models," Papers, arXiv.org, number 1907.10407, Jul.
- Draca, Mirko & Schwarz, Carlo, 2019, "How Polarized are Citizens? Measuring Ideology from the Ground-Up," The Warwick Economics Research Paper Series (TWERPS), University of Warwick, Department of Economics, number 1218.
- Olivier Gu'eant & Iuliia Manziuk & Jiang Pu, 2019, "Accelerated Share Repurchase and other buyback programs: what neural networks can bring," Papers, arXiv.org, number 1907.09753, Jul, revised Nov 2019.
- Mateo Dulce Rubio, 2019, "Predicting criminal behavior with Levy flights using real data from Bogota," Documentos de Trabajo, Quantil, number 17347, Apr.
- Naftali Cohen & Tucker Balch & Manuela Veloso, 2019, "Trading via Image Classification," Papers, arXiv.org, number 1907.10046, Jul, 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, arXiv.org, number 1907.10578, Jul, revised Oct 2020.
- Mustafa Caglayan & Tho Pham & Oleksandr Talavera & Xiong Xiong, 2019, "Asset mispricing in loan secondary markets," Discussion Papers, Department of Economics, University of Birmingham, number 19-07, Jul.
- Lewis Gaul & Jonathan Jones & Pinar Uysal, 2019, "Forecasting High-Risk Composite CAMELS Ratings," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1252, Jul, DOI: 10.17016/IFDP.2019.1252.
- L. Ingber, 2019, "Artificial intelligence, ideas by statistical mechanics, and affective modulation of information processing," Lester Ingber Papers, Lester Ingber, number 19ai.
- Sant'Anna, Marcelo Castello Branco, 2019, "How green is sugarcane ethanol?," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE), EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), number 807, Jul.
- 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, Institut d'Economia de Barcelona (IEB), number 2019/05.