Effect of Leaders Voice on Financial Market: An Empirical Deep Learning Expedition on NASDAQ, NSE, and Beyond,
Arijit Das, Tanmoy Nandi, Prasanta Saha, Suman Das, Saronyo Mukherjee, Sudip Kumar Naskar and Diganta Saha,
from arXiv.org
(2024)
Can a GPT4-Powered AI Agent Be a Good Enough Performance Attribution Analyst?,
Bruno de Melo and Jamiel Sheikh,
from arXiv.org
(2024)
Machine Learning Methods in Algorithmic Trading: An Experimental Evaluation of Supervised Learning Techniques for Stock Price,
Mohammad Javad Maheronnaghsh, Mohammad Mahdi Gheidi and MohammadAmin Fazli,
from Center for Open Science
(2023)
Quantifying Trade from Renaissance Merchant Letters,
Fabio Gatti,
from Universitaet Bern, Departement Volkswirtschaft
(2024)
Utilizing the LightGBM Algorithm for Operator User Credit Assessment Research,
Shaojie Li, Xinqi Dong, Danqing Ma, Bo Dang, Hengyi Zang and Yulu Gong,
from arXiv.org
(2024)
A Big Data Approach to Understand Sub-national Determinants of FDI in Africa,
A. Fronzetti Colladon, R. Vestrelli, S. Bait and M. M. Schiraldi,
from arXiv.org
(2024)
Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory,
Jeff Dominitz and Charles F. Manski,
from arXiv.org
(2024)
FishNet: Deep Neural Networks for Low-Cost Fish Stock Estimation,
Moseli Mots'oehli, Anton Nikolaev, Wawan B. IGede, John Lynham, Peter J. Mous and Peter Sadowski,
from arXiv.org
(2024)
Estimating Causal Effects with Double Machine Learning -- A Method Evaluation,
Jonathan Fuhr, Philipp Berens and Dominik Papies,
from arXiv.org
(2024)
FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications,
Thanos Konstantinidis, Giorgos Iacovides, Mingxue Xu, Tony G. Constantinides and Danilo Mandic,
from arXiv.org
(2024)
GEOWEALTH-US: spatial wealth inequality data for the United States, 1960–2020,
Joel Suss, Tom Kemeny and Dylan S. Connor,
from London School of Economics and Political Science, LSE Library
(2024)
Knowledge Workers across the Italian Regions,
Angelo Leogrande,
from University Library of Munich, Germany
(2024)
Keywords: Innovation, Innovation and Invention, Management of Technological Innovation and R&D, Technological Change, Intellectual Property and Intellectual Capital
Breaking the HISCO Barrier: Automatic Occupational Standardization with OccCANINE,
Christian Møller Dahl, Torben Johansen and Christian Vedel,
from European Historical Economics Society (EHES)
(2024)
Keywords: Occupational Standardization, HISCO Classification System, Machine Learning in Economic History, Language Models
Climate Immobility Traps: A Household-Level Test,
Marco Letta, Pierluigi Montalbano and Adriana Paolantonio,
from arXiv.org
(2024)
An Economic Approach to Machine Learning in Health Policy,
N. Meltem Daysal, Sendhil Mullainathan, Ziad Obermeyer, Suproteem K. Sarkar and Mircea Trandafir,
from University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI)
(2022)
Keywords: breast cancer, precision screening, predictive modeling, machine leaning, health policy
Labour automation and challenges in labour inclusion in Latin America: regionally adjusted risk estimates based on machine learning,
Ernesto Espíndola and José Ignacio Suárez,
from Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL)
(2024)
Movies,
Stelios Michalopoulos and Christopher Rauh,
from Faculty of Economics, University of Cambridge
(2024)
Keywords: Movies, Folklore, Culture, Values, Entertainment, Text Analysis, Media
Introducing a Global Dataset on Conflict Forecasts and News Topics,
Hannes Mueller, Christopher Rauh and Ben Seimon,
from Faculty of Economics, University of Cambridge
(2024)
Keywords: Civil War, Conflict, Forecasting, Machine Learning, News Topics, Random Forest, Topic Models
Political Geography and Stock Market Volatility: The Role of Political Alignment across Sentiment Regimes,
Oguzhan Cepni, Riza Demirer, Rangan Gupta and Christian Pierdzioch,
from University of Pretoria, Department of Economics
(2024)
Keywords: Stock market volatility, Random forests, Political alignment, Investor sentiment
What’s in a headline? News impact on the Brazilian economy,
Gustavo Romero Cardoso and Marcio Nakane,
from University of São Paulo (FEA-USP)
(2024)
Keywords: News; textual data; Latent Dirichlet Allocation; Brazilian business cycles