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 (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:

• John A. List & Ian Muir & Gregory K. Sun, 2022, "Using Machine Learning for Efficient Flexible Regression Adjustment in Economic Experiments," NBER Working Papers, National Bureau of Economic Research, Inc, number 30756, Dec.
• Prateek Jain & Alberto Garcia Garcia, 2022, "Quantum classical hybrid neural networks for continuous variable prediction," Papers, arXiv.org, number 2212.04209, Dec, revised Mar 2023.
• Hoang, Daniel & Wiegratz, Kevin, 2022, "Machine learning methods in finance: Recent applications and prospects," Working Paper Series in Economics, Karlsruhe Institute of Technology (KIT), Department of Economics and Management, number 158.
• N'yoma Diamond & Grant Perkins, 2022, "Using Intermarket Data to Evaluate the Efficient Market Hypothesis with Machine Learning," Papers, arXiv.org, number 2212.08734, Dec, 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, Center for Open Science, number hyqsb, Dec, DOI: 10.31219/osf.io/hyqsb.
• 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, arXiv.org, number 2212.14076, Dec, revised Mar 2024.
• Laureti, Lucio & Costantiello, Alberto & Leogrande, Angelo, 2022, "The fight against corruption at global level. A metric approach," MPRA Paper, University Library of Munich, Germany, number 115837, Dec.
• 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, University Library of Munich, Germany, number 115627, Dec.
• Xiaodong Li & Pangjing Wu & Chenxin Zou & Qing Li, 2022, "Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization," Papers, arXiv.org, number 2212.14670, Dec.
• Julia Cagé & Nicolas Hervé & Béatrice Mazoyer, 2022, "Social Media Influence Mainstream Media: Evidence from Two Billion Tweets," Sciences Po Economics Publications (main), HAL, number hal-03877907, Jul.
• Julia Cagé & Nicolas Hervé & Béatrice Mazoyer, 2022, "Social Media and Newsroom Production Decisions," Sciences Po Economics Publications (main), HAL, number hal-03811318, May.
• Hilde C. Bjørnland, 2022, "The effect of rising energy prices amid geopolitical developments and supply disruptions," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 07/2022, Dec.
• MohammadAmin Fazli & Mahdi Lashkari & Hamed Taherkhani & Jafar Habibi, 2022, "A Novel Experts Advice Aggregation Framework Using Deep Reinforcement Learning for Portfolio Management," Papers, arXiv.org, number 2212.14477, Dec.
• Arthur Charpentier, 2022, "Quantifying fairness and discrimination in predictive models," Papers, arXiv.org, number 2212.09868, Dec.
• 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, National Bureau of Economic Research, Inc, number 30786, Dec.
• Gabriele Pellegrino & Orion Penner & Etienne Piguet & Gaetan de Rassenfosse, 2023, "Productivity gains from migration: Evidence from inventors," Working Papers, Chair of Science, Technology, and Innovation Policy, number 20, Jan.
• Hamid Nasiri & Mohammad Mehdi Ebadzadeh, 2022, "Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode Decomposition," Papers, arXiv.org, number 2212.14687, Dec.
• 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, University Library of Munich, Germany, number 115876, Jan.
• Jean-Franc{c}ois Chassagneux & Junchao Chen & Noufel Frikha, 2022, "Deep Runge-Kutta schemes for BSDEs," Papers, arXiv.org, number 2212.14372, Dec.
• 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, CESifo, number 10155.
• Rachna Saxena & Abhijeet Kumar & Mridul Mishra, 2022, "Holder Recommendations using Graph Representation Learning & Link Prediction," Papers, arXiv.org, number 2212.09624, Nov.
• Zhang, Shoucheng, 2022, "A study of the economic impact of data centres on the nation’s growth and development," MPRA Paper, University Library of Munich, Germany, number 115811, Dec.

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 (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: