Printed from https://ideas.repec.org/n/nep-big/2023-11-13.html
Report NEP-BIG-2023-11-13
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:
- Ajit Desai, 2023, "Machine learning for economics research: when, what and how," Staff Analytical Notes, Bank of Canada, number 2023-16, Oct, DOI: 10.34989/san-2023-16.
- Mikhaylov, Dmitry, 2023, "Macroeconomic Forecasting with the Use of News Data," Working Papers, Russian Presidential Academy of National Economy and Public Administration, number w20220250, Apr.
- Yanhui Shen, 2023, "American Option Pricing using Self-Attention GRU and Shapley Value Interpretation," Papers, arXiv.org, number 2310.12500, Oct.
- Ali Namaki & Reza Eyvazloo & Shahin Ramtinnia, 2023, "A systematic review of early warning systems in finance," Papers, arXiv.org, number 2310.00490, Sep.
- Bolivar, Osmar, 2023, "Evolución de la pobreza en las comunidades de Bolivia entre 2012 y 2022: Un enfoque de machine learning y teledetección
[Evolution of poverty in Bolivian communities between 2012 and 2022: A machin," MPRA Paper, University Library of Munich, Germany, number 118932, Aug. - Zhengmeng Xu & Yujie Wang & Xiaotong Feng & Yilin Wang & Yanli Li & Hai Lin, 2023, "Quantum-Enhanced Forecasting: Leveraging Quantum Gramian Angular Field and CNNs for Stock Return Predictions," Papers, arXiv.org, number 2310.07427, Oct, revised Dec 2023.
- Item repec:aez:wpaper:02/2022 is not listed on IDEAS anymore
- Boyu Zhang & Hongyang Yang & Tianyu Zhou & Ali Babar & Xiao-Yang Liu, 2023, "Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models," Papers, arXiv.org, number 2310.04027, Oct, revised Nov 2023.
- Zhenkun Zhou & Zikun Song & Tao Ren, 2023, "A New Weighted Food CPI from Scanner Big Data in China," Papers, arXiv.org, number 2310.04242, Oct, revised Oct 2023.
- Maksim Papenkov & Chris Meredith & Claire Noel & Jai Padalkar & Temple Hendrickson & Daniel Nitiutomo & Thomas Farrell, 2023, "Multi-Industry Simplex : A Probabilistic Extension of GICS," Papers, arXiv.org, number 2310.04280, Oct, revised Oct 2023.
- Yujie Ding & Shuai Jia & Tianyi Ma & Bingcheng Mao & Xiuze Zhou & Liuliu Li & Dongming Han, 2023, "Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction," Papers, arXiv.org, number 2310.05627, Oct.
- Fatemeh Moodi & Amir Jahangard-Rafsanjani, 2023, "Integrating feature selection and regression methods with technical indicators for predicting Apple Inc. stock prices," Papers, arXiv.org, number 2310.09903, Oct, revised Oct 2025.
- Neng Wang & Hongyang Yang & Christina Dan Wang, 2023, "FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets," Papers, arXiv.org, number 2310.04793, Oct, revised Nov 2023.
- Igor Sadoune & Marcelin Joanis & Andrea Lodi, 2023, "Implementing a Hierarchical Deep Learning Approach for Simulating multilevel Auction Data," CIRANO Working Papers, CIRANO, number 2023s-23, Oct.
- Sarit Maitra & Vivek Mishra & Goutam Kr. Kundu & Kapil Arora, 2023, "Integration of Fractional Order Black-Scholes Merton with Neural Network," Papers, arXiv.org, number 2310.04464, Oct, revised Oct 2023.
- Zoran Stoiljkovic, 2023, "Applying Reinforcement Learning to Option Pricing and Hedging," Papers, arXiv.org, number 2310.04336, Oct.
- Ángel Iván Moreno & Teresa Caminero, 2023, "Assessing the data challenges of climate-related disclosures in european banks. A text mining study," Working Papers, Banco de España, number 2326, Sep, DOI: https://doi.org/10.53479/33752.
- Jamotton, Charlotte & Hainaut, Donatien, 2023, "Variational autoencoder for synthetic insurance data," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2023025, Jun.
- Ramaharo, Franck Maminirina & RANDRIAMIFIDY, Michael Fitiavana, 2023, "Determinants of renewable energy consumption in Madagascar: Evidence from feature selection algorithms," AfricArxiv, Center for Open Science, number pfrhx, Oct, DOI: 10.31219/osf.io/pfrhx.
- Hainaut, Donatien, 2023, "Valuation of guaranteed minimum accumulation benefits (GMAB) with physics inspired neural networks," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2023029, Sep.
- Phan Cong Thao Tien & Tran Thien Phuc & Nguyen Thi Hai Binh, 2023, "A hybrid SEM/ANN analysis to understand youtube video content's influence on university students' eLearning acceptance behavior," EconStor Conference Papers, ZBW - Leibniz Information Centre for Economics, number 279146.
- Hites Ahir & Mr. Giovanni Dell'Ariccia & Davide Furceri & Mr. Chris Papageorgiou & Hanbo Qi, 2023, "Financial Stress and Economic Activity: Evidence from a New Worldwide Index," IMF Working Papers, International Monetary Fund, number 2023/217, Oct.