Report NEP-BIG-2023-07-10

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:

• Heinemann, Friedrich & Kemper, Jan, 2022, "Inflation of objectives instead of focus on inflation? Evidence on the ECB objective function from a textual analysis," ZEW Expert Briefs, ZEW - Leibniz Centre for European Economic Research, number 22-07.
• Alejandro Sanchez-Becerra, 2023, "Robust inference for the treatment effect variance in experiments using machine learning," Papers, arXiv.org, number 2306.03363, Jun.
• Travis Adams & Andrea Ajello & Diego Silva & Francisco Vazquez-Grande, 2023, "More than Words: Twitter Chatter and Financial Market Sentiment," Papers, arXiv.org, number 2305.16164, May.
• Hong Guo & Jianwu Lin & Fanlin Huang, 2023, "Market Making with Deep Reinforcement Learning from Limit Order Books," Papers, arXiv.org, number 2305.15821, May.
• Yuze Lu & Hailong Zhang & Qiwen Guo, 2023, "Stock and market index prediction using Informer network," Papers, arXiv.org, number 2305.14382, May.
• Harsimrat Kaeley & Ye Qiao & Nader Bagherzadeh, 2023, "Support for Stock Trend Prediction Using Transformers and Sentiment Analysis," Papers, arXiv.org, number 2305.14368, May.
• Tingsong Jiang & Qingyun Zeng, 2023, "Financial sentiment analysis using FinBERT with application in predicting stock movement," Papers, arXiv.org, number 2306.02136, Jun, revised Jun 2025.
• Taeisha Nundlall & Terence L Van Zyl, 2023, "Machine Learning for Socially Responsible Portfolio Optimisation," Papers, arXiv.org, number 2305.12364, May.
• Sofia Patsali & Michele Pezzoni & Jackie Krafft, 2023, "Healthcare Procurement and Firm Innovation: Evidence from AI-powered Equipment," GREDEG Working Papers, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, number 2023-05, Mar.
• Samir Huseynov, 2023, "ChatGPT and the Labor Market: Unraveling the Effect of AI Discussions on Students' Earnings Expectations," Papers, arXiv.org, number 2305.11900, May, revised Aug 2023.
• Simerjot Kaur & Andrea Stefanucci & Sameena Shah, 2023, "InProC: Industry and Product/Service Code Classification," Papers, arXiv.org, number 2305.13532, May.
• Abushama, Hala & Guo, Zhe & Siddig, Khalid & Kirui, Oliver K. & Abay, Kibrom A. & You, Liangzhi, 2023, "Monitoring indicators of economic activity in Sudan amidst ongoing conflict using satellite data," Sudan SSP working papers, International Food Policy Research Institute (IFPRI), number 7.
• J Bayoán Santiago Calderón & Dylan Rassier, 2022, "Valuing the U.S. Data Economy Using Machine Learning and Online Job Postings," BEA Working Papers, Bureau of Economic Analysis, number 0204, Oct.
• Donato Masciandaro & Davide Romelli & Gaia Rubera, 2023, "Monetary policy and financial markets: evidence from Twitter traffic," Trinity Economics Papers, Trinity College Dublin, Department of Economics, number TEP1023, Jun.
• Xu, Wenfei, 2023, "New Methods for Old Questions: Predicting Historical Urban Renewal Areas in the United States," SocArXiv, Center for Open Science, number bsvr8, May, DOI: 10.31219/osf.io/bsvr8.
• Aadhitya A & Rajapriya R & Vineetha R S & Anurag M Bagde, 2023, "Predicting Stock Market Time-Series Data using CNN-LSTM Neural Network Model," Papers, arXiv.org, number 2305.14378, May.
• Julia M. Puaschunder, 2022, "Digital Inequality: A Research Agenda," RAIS Conference Proceedings 2022-2026, Research Association for Interdisciplinary Studies, number 0201, Jun.
• Aman Saggu & Lennart Ante, 2023, "The Influence of ChatGPT on Artificial Intelligence Related Crypto Assets: Evidence from a Synthetic Control Analysis," Papers, arXiv.org, number 2305.12739, May.
• Minhyeok Lee, 2023, "Game-Theoretical Analysis of Reviewer Rewards in Peer-Review Journal Systems: Analysis and Experimental Evaluation using Deep Reinforcement Learning," Papers, arXiv.org, number 2305.12088, May.
• Jaydip Sen & Aditya Jaiswal & Anshuman Pathak & Atish Kumar Majee & Kushagra Kumar & Manas Kumar Sarkar & Soubhik Maji, 2023, "A Comparative Analysis of Portfolio Optimization Using Mean-Variance, Hierarchical Risk Parity, and Reinforcement Learning Approaches on the Indian Stock Market," Papers, arXiv.org, number 2305.17523, May.
• Julia M. Puaschunder, 2022, "Extension of Endogenous Growth Theory: Artificial Intelligence as a Self-Learning Entity," RAIS Conference Proceedings 2022-2026, Research Association for Interdisciplinary Studies, number 0224, Oct.
• Reza Nematirad & Amin Ahmadisharaf & Ali Lashgari, 2023, "Forecasting the Performance of US Stock Market Indices During COVID-19: RF vs LSTM," Papers, arXiv.org, number 2306.03620, Jun.
• Vincent Lemaire & Gilles Pag`es & Christian Yeo, 2023, "Swing contract pricing: with and without Neural Networks," Papers, arXiv.org, number 2306.03822, Jun, revised Mar 2024.
• Andrew J. Patton & Yasin Simsek, 2023, "Generalized Autoregressive Score Trees and Forests," Papers, arXiv.org, number 2305.18991, May.

Report NEP-BIG-2023-07-10

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: