NEP-CMP: Computational Economics

Enhancing GDP nowcasts with ChatGPT: a novel application of PMI news releases: Sun, Yiqiao; de Bondt, Gabe

Simulation Smoothing for State Space Models: An Extremum Monte Carlo Approach

Constrained optimization in simulation: efficient global optimization and Karush-Kuhn-Tucker conditions: Kleijnen, Jack; Angun, Ebru; Nieuwenhuyse, Inneke Van; van Beers, Wim

AI and the Fed: Sophia Kazinnik; Erik Brynjolfsson

Gradient-Based Reinforcement Learning for Dynamic Quantile

Make Up Your Mind! Habit Engineering With Artificial Intelligence in the Context of Trading: Walenta, Danilo C.; Sturm, Timo; Scholz, Yven; Buxmann, Peter

Accessing the Untapped Potential of Large Language Models in Banking: A Capability Readiness Framework

Artificial intelligence application and research in accounting, finance, economics, business, and management

AI-Driven Financial Intelligence Systems: A New Era of Risk Detection and Strategic Analysis

Using DSGE and Machine Learning to Forecast Public Debt for France.: Emmanouil SOFIANOS; Thierry BETTI; Emmanouil Theophilos PAPADIMITRIOU; Amélie BARBIER-GAUCHARD; Periklis GOGAS

Review of Gen AI Models for Financial Risk Management: Architectural Frameworks and Implementation Strategies

Machine Learning for Stock Price Prediction on the Casablanca Stock Exchange: A Comparative Study of ANN and LSTM Approaches: Imad Talhartit; Sanae Ait Jillali; Mounime El Kabbouri

Decoding China's Industrial Policies: Hanming Fang; Ming Li; Guangli Lu

Supply Bottlenecks and Machine Learning Forecasting of International Stock Market Volatility: Dhanashree Somani; Rangan Gupta; Sayar Karmakar; Vasilios Plakandaras

Assessing the validity of microsimulated kinship networks using Swedish population registers: Liliana P. Calderón-Bernal; Diego Alburez-Gutierrez; Martin Kolk; Emilio Zagheni

The impact of economic policies on housing prices. Approximations and predictions in the UK, the US, France, and Switzerland from the 1980s to today

NON-RESIDENTIAL REAL ESTATE PRICES AND MACHINE LEARNING: THE HOW AND THE WHY

The cost of ensembling: is it always worth combining?

Ornithologist: Towards Trustworthy "Reasoning" about Central Bank Communications

Machine Learning-Based Estimation of Monthly GDP

Rethinking Distributional IVs: KAN-Powered D-IV-LATE & Model Choice

Total Recall? Evaluating the Macroeconomic Knowledge of Large Language Models: Leland D. Crane; Akhil Karra; Paul E. Soto

On Quantum BSDE Solver for High-Dimensional Parabolic PDEs: Howard Su; Huan-Hsin Tseng

A primer on variational inference for physics-informed deep generative modelling: Glyn-Davies, Alex; Vadeboncoeur, Arnaud; Akyildiz, O. Deniz; Kazlauskaite, Ieva; Girolami, Mark

Parametric and machine learning approaches to examine yield differences between control and treatment considering outliers and statistical biases: The case of insect resistant/herbicide tolerant (IR/HT) maize in Honduras: Falck-Zepeda, José B.; Zambrano, Patricia; Sanders, Arie; Trabanino, Carlos R

Parametric and machine learning approaches to examine yield differences between control and treatment considering outliers and statistical biases: The case of insect resistant/herbicide tolerant (IR/HT) maize in Honduras: Falck-Zepeda, José B.; Zambrano, Patricia; Sanders, Arie; Trabanino, Carlos R

Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance: Qingkai Zhang; L. Jeff Hong; Houmin Yan

Logistics Performance and ESG Outcomes: An Empirical Exploration Using IV Panel Models and Machine Learning: Magaletti, Nicola; Notarnicola, Valeria; Di Molfetta, Mauro; Mariani, Stefano; Leogrande, Angelo

From Text to Quantified Insights: A Large-Scale LLM Analysis of Central Bank Communication: Thiago Christiano Silva; Kei Moriya; Mr. Romain M Veyrune

DELPHYNE: A Pre-Trained Model for General and Financial Time Series: Xueying Ding; Aakriti Mittal; Achintya Gopal