David Alaminos

According to our database, David Alaminos authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Hybrid ARMA-GARCH-Neural Networks for intraday strategy exploration in high-frequency trading.

David Alaminos, M. Belén Salas, Antonio Partal-Ureña

Pattern Recognit., April, 2024

Understanding evolving user choices: a neural network analysis of TAXI and ride-hailing services in Barcelona.

Miguel Guillén-Pujadas, Emili Vizuete Luciano, David Alaminos, M. Carmen Gracia-Ramos

Soft Comput., March, 2024

Hybrid genetic algorithms in agent-based artificial market model for simulating fan tokens trading.

David Alaminos, M. Belén Salas, Manuel A. Fernández-Gámez

Eng. Appl. Artif. Intell., 2024

2023

Neural networks for estimating Macro Asset Pricing model in football clubs.

David Alaminos, Ignacio Esteban, M. Belén Salas

Intell. Syst. Account. Finance Manag., 2023

2022

Tourism Stock Prices, Systemic Risk and Tourism Growth: A Kalman Filter with Prior Update DSGE-VAR Model.

David Alaminos, M. Belén Salas

Proceedings of the Artificial Intelligence and Soft Computing, 2022

Multiscale Multifractal Detrended Analysis of Speculative Attacks Dynamics in Cryptocurrencies.

David Alaminos, M. Belén Salas

Proceedings of the Artificial Intelligence and Soft Computing, 2022

2021

Sovereign Debt and Currency Crises Prediction Models Using Machine Learning Techniques.

David Alaminos, José Ignacio Peláez, M. Belén Salas, Manuel A. Fernández-Gámez

Symmetry, 2021

Neural Networks for Estimating Speculative Attacks Models.

David Alaminos, Fernando Aguilar-Vijande, José Ramón Sánchez-Serrano

Entropy, 2021

Factor Augmented Artificial Neural Network vs Deep Learning for Forecasting Global Liquidity Dynamics.

David Alaminos

Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020

Financial Performance Analysis in European Football Clubs.

David Alaminos, Ignacio Esteban, Manuel A. Fernández-Gámez

Entropy, 2020

2018

Data Mining for Municipal Financial Distress Prediction.

David Alaminos, Sergio M. Fernández, Francisca García, Manuel A. Fernández

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2018