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Report NEP-BIG-2020-05-04
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:
- Daria Dzyabura & Siham El Kihal & John R. Hauser & Marat Ibragimov, 2019, "Leveraging the Power of Images in Managing Product Return Rates," Working Papers, New Economic School (NES), number w0259, Sep.
- Christophe Croux & Julapa Jagtiani & Tarunsai Korivi & Milos Vulanovic, 2020, "Important Factors Determining Fintech Loan Default: Evidence from the LendingClub Consumer Platform," Working Papers, Federal Reserve Bank of Philadelphia, number 20-15, Apr, DOI: 10.21799/frbp.wp.2020.15.
- Stefano Baruffaldi & Brigitte van Beuzekom & Hélène Dernis & Dietmar Harhoff & Nandan Rao & David Rosenfeld & Mariagrazia Squicciarini, 2020, "Identifying and measuring developments in artificial intelligence: Making the impossible possible," OECD Science, Technology and Industry Working Papers, OECD Publishing, number 2020/05, May, DOI: 10.1787/5f65ff7e-en.
- Raquel M. Gaspar & Sara D. Lopes & Bernardo Sequeira, 2020, "Neural Network pricing of American put options," Working Papers REM, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa, number 2020/0122, Apr.
- Schnaubelt, Matthias & Seifert, Oleg, 2020, "Valuation ratios, surprises, uncertainty or sentiment: How does financial machine learning predict returns from earnings announcements?," FAU Discussion Papers in Economics, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, number 04/2020.
- Daria Dzyabura & Renana Peres, 2019, "Visual Elicitation of Brand Perception," Working Papers, New Economic School (NES), number w0260, Dec.
- Marek Stelmach & Marcin Chlebus, 2020, "Novel multilayer stacking framework with weighted ensemble approach for multiclass credit scoring problem application," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-08.
- Abraham,Facundo & Schmukler,Sergio L. & Tessada,Jose, 2019, "Using Big Data to Expand Financial Services : Benefits and Risks," Research and Policy Briefs, The World Bank, number 143463, Nov.
- Leonard Sabetti & Ronald Heijmans, 2020, "Shallow or deep? Detecting anomalous flows in the Canadian Automated Clearing and Settlement System using an autoencoder," Working Papers, DNB, number 681, Apr.
- Schnaubelt, Matthias, 2020, "Deep reinforcement learning for the optimal placement of cryptocurrency limit orders," FAU Discussion Papers in Economics, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, number 05/2020.
- Anastasia Bugaenko, 2020, "Empirical Study of Market Impact Conditional on Order-Flow Imbalance," Papers, arXiv.org, number 2004.08290, Apr, revised Apr 2020.
- Vadlamani Ravi & Vadlamani Madhav, 2020, "Optimizing the reliability of a bank with Logistic Regression and Particle Swarm Optimization," Papers, arXiv.org, number 2004.11122, Mar.
- Paul D McNelis & James Yetman, 2020, "Volatility spillovers and capital buffers among the G-SIBs," BIS Working Papers, Bank for International Settlements, number 856, Apr.
- -, 2020, "Análisis de la huella digital en América Latina y el Caribe: enseñanzas extraídas del uso de macrodatos (big data) para evaluar la economía digital," Documentos de Proyectos, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 45464, Jul.
- Tam Tran-The, 2020, "Modeling Institutional Credit Risk with Financial News," Papers, arXiv.org, number 2004.08204, Apr.
- Weinand, Jann & Ried, Sabrina & Kleinebrahm, Max & McKenna, Russell & Fichtner, Wolf, 2020, "Identification of potential off-grid municipalities with 100% renewable energy supply," Working Paper Series in Production and Energy, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP), number 40, DOI: 10.5445/IR/1000118013.
- Christopher A. Hollrah & Steven A. Sharpe & Nitish R. Sinha, 2020, "The Power of Narratives in Economic Forecasts," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2020-001, Jan, DOI: 10.17016/FEDS.2020.001.
- Tarek A. Hassan & Laurence van Lent & Stephan Hollander & Ahmed Tahoun, 2020, "Firm-Level Exposure to Epidemic Diseases: Covid-19, SARS, and H1N1," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series, Boston University - Department of Economics, number dp-340, Apr.
- Luigi Bellomarini & Marco Benedetti & Andrea Gentili & Rosario Laurendi & Davide Magnanimi & Antonio Muci & Emanuel Sallinger, 2020, "COVID-19 and Company Knowledge Graphs: Assessing Golden Powers and Economic Impact of Selective Lockdown via AI Reasoning," Papers, arXiv.org, number 2004.10119, Apr.
- Pauline Affeldt & Tomaso Duso & Florian Szücs, 2020, "25 Years of European Merger Control," CESifo Working Paper Series, CESifo, number 8213.
- Sung Jae Jun & Sokbae Lee, 2020, "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," Papers, arXiv.org, number 2004.08318, Apr, revised Oct 2023.
- Takahiro Yabe & Yunchang Zhang & Satish Ukkusuri, 2020, "Quantifying the Economic Impact of Extreme Shocks on Businesses using Human Mobility Data: a Bayesian Causal Inference Approach," Papers, arXiv.org, number 2004.11121, Mar.