Report NEP-BIG-2024-03-04

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:

• Rennae Cherry & Eric Tong, 2023. "Words of the RBNZ: Textual analysis of Monetary Policy Statements," Reserve Bank of New Zealand Analytical Notes series AN2023/03, Reserve Bank of New Zealand.
• David Almog & Romain Gauriot & Lionel Page & Daniel Martin, 2024. "AI Oversight and Human Mistakes: Evidence from Centre Court," Papers 2401.16754, arXiv.org, revised Feb 2024.
• Tin Cheuk Leung & Koleman Strumpf, 2024. "Disentangling Demand and Supply of Media Bias: The Case of Newspaper Homepages," CESifo Working Paper Series 10890, CESifo.
• Franck Ramaharo & Fitiavana Randriamifidy, 2023. "Determinants of renewable energy consumption in Madagascar: Evidence from feature selection algorithms," Papers 2401.13671, arXiv.org.
• Gómez Julián, José Mauricio, 2024. "Quantitative Theory of Mony or Prices? A Historical, Theoretical, and Econometric Analysis," OSF Preprints eskmx, Center for Open Science.
• Brunori, Paolo & Ferreira, Francisco H. G. & Salas-Rojo, Pedro, 2024. "Inherited Inequality: A General Framework and an Application to South Africa," SocArXiv rgq7t, Center for Open Science.
• Diwas Paudel & Tapas K. Das, 2024. "Tacit algorithmic collusion in deep reinforcement learning guided price competition: A study using EV charge pricing game," Papers 2401.15108, arXiv.org, revised May 2024.
• M. Shabani & M. Magris & George Tzagkarakis & J. Kanniainen & A. Iosifidis, 2023. "Predicting the state of synchronization of financial time series using cross recurrence plots," Post-Print hal-04415269, HAL.
• Huo, Shutong & Feng, Derek & Gill, Thomas M. & Chen, Xi, 2024. "Childhood Circumstances and Health of American and Chinese Older Adults: A Machine Learning Evaluation of Inequality of Opportunity in Health," IZA Discussion Papers 16764, Institute of Labor Economics (IZA).
• Zhiyu Quan & Changyue Hu & Panyi Dong & Emiliano A. Valdez, 2024. "Improving Business Insurance Loss Models by Leveraging InsurTech Innovation," Papers 2401.16723, arXiv.org.
• Costantiello, Alberto & Leogrande, Angelo, 2024. "The Determinants Of Co2 Emissions In The Context Of Esg Models At World Level," SocArXiv 53djm, Center for Open Science.
• Kim, Dongin, 2022. "Preferential Trading in Agriculture: New Insights from a Structural Gravity Analysis and Machine Learning," 2022: Transforming Global Value Chains, December 11-13, Clearwater Beach, FL 339469, International Agricultural Trade Research Consortium.
• Leogrande, Angelo & Costantiello, Alberto & Leogrande, Domenico & Anobile, Fabio, 2024. "Beds In Health Facilities In The Italian Regions: A Socio-Economic Approach," SocArXiv shkjt, Center for Open Science.
• Helena Chuliá & Sabuhi Khalili & Jorge M. Uribe, 2024. "Monitoring time-varying systemic risk in sovereign debt and currency markets with generative AI," IREA Working Papers 202402, University of Barcelona, Research Institute of Applied Economics, revised Feb 2024.
• Franck Ramaharo & Gerzhino Rasolofomanana, 2023. "Nowcasting Madagascar's real GDP using machine learning algorithms," Papers 2401.10255, arXiv.org.
• Valentin Lindlacher & Gustav Pirich, 2024. "The Impact of China’s “Stadium Diplomacy” on Local Economic Development in Sub-Saharan Africa," CESifo Working Paper Series 10893, CESifo.
• Weidong Lin & Abderrahim Taamouti, 2023. "Portfolio Selection Under Non-Gaussianity And Systemic Risk: A Machine Learning Based Forecasting Approach," Working Papers 202310, University of Liverpool, Department of Economics.
• Hauke Licht & Ronja Sczepanski & Moritz Laurer & Ayjeren Bekmuratovna, 2024. "No More Cost in Translation: Validating Open-Source Machine Translation for Quantitative Text Analysis," ECONtribute Discussion Papers Series 276, University of Bonn and University of Cologne, Germany.
• Hauke Licht & Ronja Sczepanksi, 2024. "Who are They Talking About? Detecting Mentions of Social Groups in Political Texts with Supervised Learning," ECONtribute Discussion Papers Series 277, University of Bonn and University of Cologne, Germany.
• Weidong Lin & Abderrahim Taamouti, 2023. "Machine Learning Based Portfolio Selection Under Systemic Risk," Working Papers 202311, University of Liverpool, Department of Economics.
• Leonard Mushunje & Maxwell Mashasha, 2023. "Non-Banking Sector development effect on Economic Growth. A Nighttime light data approach," Papers 2401.08596, arXiv.org.
• Churchill, Alexander & Pichika, Shamitha & Xu, Chengxin, 2024. "Using Generative Pre-Trained Transformers (GPT) for Supervised Content Encoding: An Application in Corresponding Experiments," SocArXiv 6fpgj, Center for Open Science.
• Sander, Julian, 2024. "The Role of Emotions in Investment Decisions: The Effects of Vividness of a Crowdfunding Campaign Video," Thesis Commons 6gptv, Center for Open Science.
• Huo, Shutong & Feng, Derek & Gill, Thomas M. & Chen, Xi, 2024. "Childhood Circumstances and Health of American and Chinese Older Adults: A Machine Learning Evaluation of Inequality of Opportunity in Health," GLO Discussion Paper Series 1384, Global Labor Organization (GLO).
• Mario Sanz-Guerrero & Javier Arroyo, 2024. "Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending," Papers 2401.16458, arXiv.org, revised Aug 2024.
• Pierre Renucci, 2023. "Optimal Linear Signal: An Unsupervised Machine Learning Framework to Optimize PnL with Linear Signals," Papers 2401.05337, arXiv.org.
• Bartosz Bieganowski & Robert Ślepaczuk, 2024. "Supervised Autoencoder MLP for Financial Time Series Forecasting," Working Papers 2024-03, Faculty of Economic Sciences, University of Warsaw.
• Gordeev, Stepan & Jelliffe, Jeremy & Kim, Dongin & Steinbach, Sandro, 2023. "What Matters for Agricultural Trade? Assessing the Role of Trade Deal Provisions using Machine Learning," 2023: The Future of (Ag-) Trade and Trade Governance in Times of Economic Sanctions and Declining Multilateralism, December 10-12, Clearwater Beach, FL 339533, International Agricultural Trade Research Consortium.
• Dimitrios Kanelis & Pierre L. Siklos, 2024. "The ECB Press Conference Statement Deriving a New Sentiment Indicator for the Euro Area," CAMA Working Papers 2024-10, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Dengxin Huang, 2023. "Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock," Papers 2401.10903, arXiv.org.