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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 (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:
- 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, arXiv.org, number 2303.04204, Mar, 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, Bank of Greece, number 315, Mar, DOI: 10.52903/wp2023315.
- Hakan Pabuccu & Serdar Ongan & Ayse Ongan, 2023, "Forecasting the movements of Bitcoin prices: an application of machine learning algorithms," Papers, arXiv.org, number 2303.04642, Mar.
- 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, arXiv.org, number 2303.05427, Mar.
- Ba Chu & Shafiullah Qureshi, 2021, "Comparing Out-of-Sample Performance of Machine Learning Methods to Forecast U.S. GDP Growth," Carleton Economic Papers, Carleton University, Department of Economics, number 21-12, Oct.
- Paolo Verme, 2023, "Predicting Poverty with Missing Incomes," Working Papers, ECINEQ, Society for the Study of Economic Inequality, number 642, Mar.
- Shima Nabiee & Nader Bagherzadeh, 2023, "Stock Trend Prediction: A Semantic Segmentation Approach," Papers, arXiv.org, number 2303.09323, Mar.
- Pierre Bras & Gilles Pagès, 2022, "Langevin algorithms for Markovian Neural Networks and Deep Stochastic control," Working Papers, HAL, number hal-03980632, Dec.
- 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, Households in Conflict Network, number 387, Mar.
- Costantiello, Alberto & Leogrande, Angelo, 2023, "The Impact of Voice and Accountability in the ESG Framework in a Global Perspective," MPRA Paper, University Library of Munich, Germany, number 116805, Mar.
- Gonzalo Ballestero, 2021, "Collusion and Artificial Intelligence: A computational experiment with sequential pricing algorithms under stochastic costs," Asociación Argentina de Economía Política: Working Papers, Asociación Argentina de Economía Política, number 4433, Nov.
- Xiaobin Tang & Nuo Lei, 2023, "Research on CPI Prediction Based on Natural Language Processing," Papers, arXiv.org, number 2303.05666, Mar.
- Gonzalo Ballestero, 2021, "Collusion and Artificial Intelligence: A computational experiment with sequential pricing algorithms under stochastic costs," Young Researchers Working Papers, Universidad de San Andres, Departamento de Economia, number 1, Nov, 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, arXiv.org, number 2303.08968, Mar.
- 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, arXiv.org, number 2303.09407, Mar.
- Roman Valovic & Daniel Pastorek, 2023, "A Robustness Analysis of Newspaper-based Indices," MENDELU Working Papers in Business and Economics, Mendel University in Brno, Faculty of Business and Economics, number 2023-89, Mar.
- 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, arXiv.org, number 2303.11716, Mar.
- 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, Warwick Monash Economics Student Papers, number 43.
- Raghuram Rajan & Pietro Ramella & Luigi Zingales, 2023, "What Purpose Do Corporations Purport? Evidence from Letters to Shareholders," NBER Working Papers, National Bureau of Economic Research, Inc, number 31054, Mar.
- George M. Constantinides & Maurizio Montone & Valerio Potì & Stella Spilioti, 2023, "Sentiment, Productivity, and Economic Growth," NBER Working Papers, National Bureau of Economic Research, Inc, number 31031, Mar.
- 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, arXiv.org, number 2303.11959, Mar, revised Dec 2023.