Printed from https://ideas.repec.org/n/nep-big/2022-01-31.html
Report NEP-BIG-2022-01-31
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:
- Ricketts, Simon, 2021, "Do Political Actors Engage in Strategic Deception on Social Media?," Warwick-Monash Economics Student Papers, Warwick Monash Economics Student Papers, number 16.
- Erik Brynjolfsson, 2022, "The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligence," Papers, arXiv.org, number 2201.04200, Jan.
- Katsafados, Apostolos & Anastasiou, Dimitris, 2022, "Short-term Prediction of Bank Deposit Flows: Do Textual Features matter?," MPRA Paper, University Library of Munich, Germany, number 111418, Jan.
- Maria Mercanti-Guérin, 2021, "From Perceived Creativity To Status Quo Bias The Case Of Digital Twins In The Home," Post-Print, HAL, number hal-03450262, Nov.
- van der Hagen, L. & Agatz, N.A.H. & Spliet, R. & Visser, T.R. & Kok, A.L., 2022, "Machine Learning-Based Feasibility Checks for Dynamic Time Slot Management," ERIM Report Series Research in Management, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam, number ERS-2022-001-LIS, Jan.
- FERNANDEZ LLORCA David & GOMEZ Emilia, 2021, "Trustworthy Autonomous Vehicles," JRC Research Reports, Joint Research Centre, number JRC127051, Dec.
- Suppawong Tuarob & Thanapon Noraset & Tanisa Tawichsri, 2022, "Using Large-Scale Social Media Data for Population-Level Mental Health Monitoring and Public Sentiment Assessment: A Case Study of Thailand," PIER Discussion Papers, Puey Ungphakorn Institute for Economic Research, number 169, Jan.
- David Anderson & Urban Ulrych, 2022, "Accelerated American Option Pricing with Deep Neural Networks," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 22-03, Jan.
- Jean-David Fermanian & Dominique Guegan, 2021, "Fair learning with bagging," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number halshs-03500906, Nov.
- Justin Dang & Aman Ullah, 2021, "Machine Learning Based Semiparametric Time Series Conditional Variance: Estimation and Forecasting," Working Papers, University of California at Riverside, Department of Economics, number 202204, Jan, revised Jan 2022.
- Sarracino, Francesco & Greyling, Talita & O'Connor, Kelsey J. & Peroni, Chiara & Rossouw, Stephanie, 2021, "A Year of Pandemic: Levels, Changes and Validity of Well-Being Data from Twitter. Evidence from Ten Countries," IZA Discussion Papers, IZA Network @ LISER, number 14903, Nov.
- Garg, Karan, 2021, "Machines and Markets : Assessing the Impact of Algorithmic Trading on Financial Market Efficiency," Warwick-Monash Economics Student Papers, Warwick Monash Economics Student Papers, number 11.
- Julia Anna Bingler & Mathias Kraus & Markus Leippold & Nicolas Webersinke, 2022, "Cheap Talk in Corporate Climate Commitments: The Role of Active Institutional Ownership, Signaling, Materiality, and Sentiment," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 22-01, Jan.
- Aldott, Zoltan, 2021, "Predicting Specialty Coffee Auction Prices Using Machine Learning," Warwick-Monash Economics Student Papers, Warwick Monash Economics Student Papers, number 15.
- Yu, Bo & Tran, Trang & Lee, Wang-Sheng, 2021, "Green Infrastructure and Air Pollution: Evidence from Highways Connecting Two Megacities in China," IZA Discussion Papers, IZA Network @ LISER, number 14900, Nov.
- Shimon Kogan & Vitaly Meursault, 2021, "Corporate Disclosure: Facts or Opinions?," Working Papers, Federal Reserve Bank of Philadelphia, number 21-40, Nov, DOI: 10.21799/frbp.wp.2021.40.
- Songyan Hou & Thomas Krabichler & Marcus Wunsch, 2021, "Deep Partial Hedging," Papers, arXiv.org, number 2112.07335, Dec.
- Vladimir Pyrlik & Pavel Elizarov & Aleksandra Leonova, 2021, "Forecasting Realized Volatility Using Machine Learning and Mixed-Frequency Data (the Case of the Russian Stock Market)," CERGE-EI Working Papers, The Center for Economic Research and Graduate Education - Economics Institute, Prague, number wp713, Nov.
- Carbonero, Francesco & Davies, Jeremy & Ernst, Ekkehard & Fossen, Frank M. & Samaan, Daniel & Sorgner, Alina, 2021, "The Impact of Artificial Intelligence on Labor Markets in Developing Countries: A New Method with an Illustration for Lao PDR and Viet Nam," IZA Discussion Papers, IZA Network @ LISER, number 14944, Dec.
- Francisco Caio Lima Paiva & Leonardo Kanashiro Felizardo & Reinaldo Augusto da Costa Bianchi & Anna Helena Reali Costa, 2021, "Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach," Papers, arXiv.org, number 2112.02095, Nov.