Report NEP-BIG-2023-04-17

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:

• Qingyi Wang & Shenhao Wang & Yunhan Zheng & Hongzhou Lin & Xiaohu Zhang & Jinhua Zhao & Joan Walker, 2023. "Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis?," Papers 2303.04204, arXiv.org, revised Feb 2024.
• Anastasios Petropoulos & Evangelos Stavroulakis & Panagiotis Lazaris & Vasilis Siakoulis & Nikolaos Vlachogiannakis, 2023. "Is COVID-19 reflected in AnaCredit dataset? A big data - machine learning approach for analysing behavioural patterns using loan level granular information," Working Papers 315, Bank of Greece.
• Hakan Pabuccu & Serdar Ongan & Ayse Ongan, 2023. "Forecasting the movements of Bitcoin prices: an application of machine learning algorithms," Papers 2303.04642, arXiv.org.
• Oguz Koc & Omur Ugur & A. Sevtap Kestel, 2023. "The Impact of Feature Selection and Transformation on Machine Learning Methods in Determining the Credit Scoring," Papers 2303.05427, arXiv.org.
• Ba Chu & Shafiullah Qureshi, 2021. "Comparing Out-of-Sample Performance of Machine Learning Methods to Forecast U.S. GDP Growth," Carleton Economic Papers 21-12, Carleton University, Department of Economics.
• Paolo Verme, 2023. "Predicting Poverty with Missing Incomes," Working Papers 642, ECINEQ, Society for the Study of Economic Inequality.
• Shima Nabiee & Nader Bagherzadeh, 2023. "Stock Trend Prediction: A Semantic Segmentation Approach," Papers 2303.09323, arXiv.org.
• Pierre Bras & Gilles Pagès, 2022. "Langevin algorithms for Markovian Neural Networks and Deep Stochastic control," Working Papers hal-03980632, HAL.
• Aysegül Kayaoglu & Ghassan Baliki & Tilman Brück & Melodie Al Daccache & Dorothee Weiffen, 2023. "How to conduct impact evaluations in humanitarian and conflict settings," HiCN Working Papers 387, Households in Conflict Network.
• Costantiello, Alberto & Leogrande, Angelo, 2023. "The Impact of Voice and Accountability in the ESG Framework in a Global Perspective," MPRA Paper 116805, University Library of Munich, Germany.
• Gonzalo Ballestero, 2021. "Collusion and Artificial Intelligence: A computational experiment with sequential pricing algorithms under stochastic costs," Asociación Argentina de Economía Política: Working Papers 4433, Asociación Argentina de Economía Política.
• Xiaobin Tang & Nuo Lei, 2023. "Research on CPI Prediction Based on Natural Language Processing," Papers 2303.05666, arXiv.org.
• Gonzalo Ballestero, 2021. "Collusion and Artificial Intelligence: A computational experiment with sequential pricing algorithms under stochastic costs," Young Researchers Working Papers 1, Universidad de San Andres, Departamento de Economia, revised Oct 2022.
• Pieter M. van Staden & Peter A. Forsyth & Yuying Li, 2023. "A parsimonious neural network approach to solve portfolio optimization problems without using dynamic programming," Papers 2303.08968, arXiv.org.
• Keer Yang & Guanqun Zhang & Chuan Bi & Qiang Guan & Hailu Xu & Shuai Xu, 2023. "Improving CNN-base Stock Trading By Considering Data Heterogeneity and Burst," Papers 2303.09407, arXiv.org.
• Roman Valovic & Daniel Pastorek, 2023. "A Robustness Analysis of Newspaper-based Indices," MENDELU Working Papers in Business and Economics 2023-89, Mendel University in Brno, Faculty of Business and Economics.
• Dapeng Li & Feiyang Pan & Jia He & Zhiwei Xu & Dandan Tu & Guoliang Fan, 2023. "Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning," Papers 2303.11716, arXiv.org.
• Xuefan, Pan, 2023. "Analysing the response of U.S. financial market to the Federal Open Market Committee statements and minutes based on computational linguistic approaches," Warwick-Monash Economics Student Papers 43, Warwick Monash Economics Student Papers.
• Raghuram Rajan & Pietro Ramella & Luigi Zingales, 2023. "What Purpose Do Corporations Purport? Evidence from Letters to Shareholders," NBER Working Papers 31054, National Bureau of Economic Research, Inc.
• George M. Constantinides & Maurizio Montone & Valerio Potì & Stella Spilioti, 2023. "Sentiment, Productivity, and Economic Growth," NBER Working Papers 31031, National Bureau of Economic Research, Inc.
• Hengxi Zhang & Zhendong Shi & Yuanquan Hu & Wenbo Ding & Ercan E. Kuruoglu & Xiao-Ping Zhang, 2023. "Optimizing Trading Strategies in Quantitative Markets using Multi-Agent Reinforcement Learning," Papers 2303.11959, arXiv.org, revised Dec 2023.