Report NEP-BIG-2023-01-23

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:

• John A. List & Ian Muir & Gregory K. Sun, 2022. "Using Machine Learning for Efficient Flexible Regression Adjustment in Economic Experiments," NBER Working Papers 30756, National Bureau of Economic Research, Inc.
• Prateek Jain & Alberto Garcia Garcia, 2022. "Quantum classical hybrid neural networks for continuous variable prediction," Papers 2212.04209, arXiv.org, revised Mar 2023.
• Hoang, Daniel & Wiegratz, Kevin, 2022. "Machine learning methods in finance: Recent applications and prospects," Working Paper Series in Economics 158, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
• N'yoma Diamond & Grant Perkins, 2022. "Using Intermarket Data to Evaluate the Efficient Market Hypothesis with Machine Learning," Papers 2212.08734, arXiv.org, revised Dec 2022.
• Asati, Akshita, 2022. "A Comparative Study On Forecasting Consumer Price Index Of India Amongst XGBoost, Theta, ARIMA, Prophet And LSTM Algorithms," OSF Preprints hyqsb, Center for Open Science.
• Raj G. Patel & Chia-Wei Hsing & Serkan Sahin & Samuel Palmer & Saeed S. Jahromi & Shivam Sharma & Tomas Dominguez & Kris Tziritas & Christophe Michel & Vincent Porte & Mustafa Abid & Stephane Aubert &, 2022. "Quantum-Inspired Tensor Neural Networks for Option Pricing," Papers 2212.14076, arXiv.org, revised Mar 2024.
• Laureti, Lucio & Costantiello, Alberto & Leogrande, Angelo, 2022. "The fight against corruption at global level. A metric approach," MPRA Paper 115837, University Library of Munich, Germany.
• Laureti, Lucio & Costantiello, Alberto & Leogrande, Angelo, 2022. "The Impact of Renewable Electricity Output on Sustainability in the Context of Circular Economy. A Global Perspective," MPRA Paper 115627, University Library of Munich, Germany.
• Xiaodong Li & Pangjing Wu & Chenxin Zou & Qing Li, 2022. "Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization," Papers 2212.14670, arXiv.org.
• Julia Cagé & Nicolas Hervé & Béatrice Mazoyer, 2022. "Social Media Influence Mainstream Media: Evidence from Two Billion Tweets," SciencePo Working papers Main hal-03877907, HAL.
• Julia Cagé & Nicolas Hervé & Béatrice Mazoyer, 2022. "Social Media and Newsroom Production Decisions," SciencePo Working papers Main hal-03811318, HAL.
• Hilde C. Bjørnland, 2022. "The effect of rising energy prices amid geopolitical developments and supply disruptions," Working Papers No 07/2022, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
• MohammadAmin Fazli & Mahdi Lashkari & Hamed Taherkhani & Jafar Habibi, 2022. "A Novel Experts Advice Aggregation Framework Using Deep Reinforcement Learning for Portfolio Management," Papers 2212.14477, arXiv.org.
• Arthur Charpentier, 2022. "Quantifying fairness and discrimination in predictive models," Papers 2212.09868, arXiv.org.
• Majid Ahmadi & Nathan Durst & Jeff Lachman & John A. List & Mason List & Noah List & Atom T. Vayalinkal, 2022. "Nothing Propinks Like Propinquity: Using Machine Learning to Estimate the Effects of Spatial Proximity in the Major League Baseball Draft," NBER Working Papers 30786, National Bureau of Economic Research, Inc.
• Gabriele Pellegrino & Orion Penner & Etienne Piguet & Gaetan de Rassenfosse, 2023. "Productivity gains from migration: Evidence from inventors," Working Papers 20, Chair of Science, Technology, and Innovation Policy.
• Hamid Nasiri & Mohammad Mehdi Ebadzadeh, 2022. "Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode Decomposition," Papers 2212.14687, arXiv.org.
• Gutiérrez, Antonio, 2023. "La brecha de género en el emprendimiento y la cultura emprendedora: Evidencia con Google Trends [Entrepreneurship gender gap and entrepreneurial culture: Evidence from Google Trends]," MPRA Paper 115876, University Library of Munich, Germany.
• Jean-Franc{c}ois Chassagneux & Junchao Chen & Noufel Frikha, 2022. "Deep Runge-Kutta schemes for BSDEs," Papers 2212.14372, arXiv.org.
• Ben Lockwood & Francesco Porcelli & Michela Redoano & Antonio Schiavone & Benjamin Lockwood, 2022. "Does Data Disclosure Improve Local Government Performance? Evidence from Italian Municipalities," CESifo Working Paper Series 10155, CESifo.
• Rachna Saxena & Abhijeet Kumar & Mridul Mishra, 2022. "Holder Recommendations using Graph Representation Learning & Link Prediction," Papers 2212.09624, arXiv.org.
• Zhang, Shoucheng, 2022. "A study of the economic impact of data centres on the nation’s growth and development," MPRA Paper 115811, University Library of Munich, Germany.