Aurelio Fernandez Bariviera

Associate Professor

Universitat Rovira i Virgili Departamento de Economía

Spain

Research Interests

Explore related searches

Professors in Spain

Contact this professor

ORCID

Google Scholar

Academic Page

About

Aurelio Fernandez Bariviera is an Associate Professor at Universitat Rovira I Virgili Facultad de Ciencias Económicas y Empresariales in Spain. His research areas include computer vision applications in historical observatories, bibliometric analyses on GPS trajectory clustering, and forecasting renewable energy generation using advanced neural networks. He also investigates the correlations between cryptocurrencies and macroeconomic factors, particularly during crises, as well as vehicular congestion classification methods.

Aurelio Fernandez Bariviera

Research Interests

Explore related searches

Contact this professor

About

Articles (21)

Long Short‐Term Memory Wavelet Neural Network for Renewable Energy Generation Forecasting

ReTrOH-UNLP: Conservation of the Historical Observational Work of the Astronomical Observatory of La Plata with Computer Vision

Scientific Production on GPS Trajectory Clustering: A Bibliometric Analysis

Do online attention and sentiment affect cryptocurrencies’ correlations?

Productivity and Keynes’s 15-Hour Work Week Prediction for 2030: An Alternative, Macroeconomic Analysis for the United States

Time-frequency co-movements between commodities and global economic policy uncertainty across different crises

What Matters for Comovements among Gold, Bitcoin, CO2, Commodities, VIX and International Stock Markets during the Health, Political and Bank Crises?

Method for the Identification and Classification of Zones with Vehicular Congestion

Dependence structure between NFT, DeFi and cryptocurrencies in turbulent times: An Archimax copula approach

QUANTIFYING THE COVID-19 SHOCK IN CRYPTOCURRENCIES

Data vs. information: Using clustering techniques to enhance stock returns forecasting

Connectedness between emerging stock markets, gold, cryptocurrencies, DeFi and NFT: Some new evidence from wavelet analysis

Connectedness between emerging stock markets, gold, cryptocurrencies, DeFi and NFT: Some new evidence from wavelet analysis

Disentangling the impact of economic and health crises on financial markets

Disentangling the impact of economic and health crises on financial markets

Methodology for the Identification of Vehicle Congestion Based on Dynamic Clustering

Dynamic grouping of vehicle trajectories

Covid-19 impact on cryptocurrencies: Evidence from a wavelet-based Hurst exponent

Forecasting high-frequency stock returns: a comparison of alternative methods

The link between cryptocurrencies and Google Trends attention

A meta‐analysis of SMEs literature based on the survey on access to finance of enterprises of the European central bank

Collaborators (4)

Maria‐Teresa Sorrosal‐Forradellas

Sergio Rossi

Nektarios Aslanidis

Lelys Bravo de Guenni

How do I reach out?

Meet Kite AI