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Volatility forecast using hybrid Neural Network models

Expert systems with applications, 2014-04, Vol.41 (5), p.2437-2442

2014

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Forecasting volatility of oil price using an artificial neural network-GARCH model

Expert systems with applications, 2016-12, Vol.65, p.233-241

2016

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Gold price volatility: A forecasting approach using the Artificial Neural Network–GARCH model

Expert systems with applications, 2015-11, Vol.42 (20), p.7245-7251

2015

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A hybrid volatility forecasting framework integrating GARCH, artificial neural network, technical analysis and principal components analysis

Expert systems with applications, 2018-11, Vol.109, p.1-11

2018

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Forecasting based on an ensemble Autoregressive Moving Average - Adaptive neuro - Fuzzy inference system – Neural network - Genetic Algorithm Framework

Energy (Oxford), 2020-04, Vol.197, p.117159, Article 117159

2020

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A causal framework to determine the effectiveness of dynamic quarantine policy to mitigate COVID-19

Applied soft computing, 2021-06, Vol.104, p.107241-107241, Article 107241

2021

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Exploring environmental, social, and governance disclosure effects on the S&P 500 financial performance

Business strategy and the environment, 2019-09, Vol.28 (6), p.1083-1095

2019

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Impact of COVID-19 effective reproductive rate on cryptocurrency

Financial innovation (Heidelberg), 2022-05, Vol.8 (1), p.49-49, Article 49

2022

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Causal treatment effects in time series: CO2 emissions and energy consumption effect on GDP

Energy (Oxford), 2022-06, Vol.249, p.123625, Article 123625

2022

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Stock market index prediction using transformer neural network models and frequency decomposition

Neural computing & applications, 2024-09, Vol.36 (25), p.15777-15797

2024

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A fuzzy regression causality approach to analyze relationship between electrical consumption and GDP

Energy (Oxford), 2022-01, Vol.239, p.122459, Article 122459

2022

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Trading support system for portfolio construction using wisdom of artificial crowds and evolutionary computation

Expert systems with applications, 2021-09, Vol.177, p.114943, Article 114943

2021

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A predictive and explanatory model for remaining useful life of crushers using deep learning

Neural computing & applications, 2024-11, Vol.36 (32), p.20575-20588

2024

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A hybrid model to forecast greenhouse gas emissions in Latin America

Soft computing (Berlin, Germany), 2023-12, Vol.27 (23), p.17943-17970

2023

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What if we intervene?: Higher-order cross-lagged causal model with interventional approach under observational design

Neural computing & applications, 2024-08, Vol.36 (24), p.15075-15090

2024

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How the effective reproductive number impacts global stock markets

International journal of finance and economics, 2024-04, Vol.29 (2), p.1972-1987

2024

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Electrical consumption forecasting: a framework for high frequency data

Neural computing & applications, 2022-04, Vol.34 (7), p.5577-5586

2022

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Signaling sustainability: impact that learning how to report has on enrollment, endowment and emissions of North American higher education institutions

Sustainability accounting, management and policy journal (Print), 2021-08, Vol.12 (5), p.1140-1158

2021

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Applying the AHP to Conflict Resolution: A Russia—NATO Case Study

Group decision and negotiation, 2023, Vol.32 (1), p.147-176

2023

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High Frequency and Dynamic Pairs Trading with Ant Colony Optimization

Computational economics, 2022-03, Vol.59 (3), p.1251-1275

2022

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Asymmetric multi-fractal cross-correlations of the price of electricity in the US with crude oil and the natural gas

Physica A, 2021-06, Vol.572, p.125830, Article 125830

2021

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LEED certification and market value of the firm

International journal of environment and sustainable development, 2018, Vol.17 (4), p.317

2018

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Measuring U.S. influence in the world

Journal of multi-criteria decision analysis, 2021-01, Vol.28 (1-2), p.68-84

2021

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Full Rank Voting: The Closest to Voting with Intensity of Preferences

Human-Centric Decision and Negotiation Support for Societal Transitions, p.154-170

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The Strategic Approaches for a New Typology of Firm Patent Portfolios

International journal of innovation and technology management, 2016-04, Vol.13 (2), p.1650012

2016

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Volatility forecast using hybrid Neural Network models

Forecasting volatility of oil price using an artificial neural network-GARCH model

Gold price volatility: A forecasting approach using the Artificial Neural Network–GARCH model

A hybrid volatility forecasting framework integrating GARCH, artificial neural network, technical analysis and principal components analysis

Forecasting based on an ensemble Autoregressive Moving Average - Adaptive neuro - Fuzzy inference system – Neural network - Genetic Algorithm Framework

A causal framework to determine the effectiveness of dynamic quarantine policy to mitigate COVID-19

Exploring environmental, social, and governance disclosure effects on the S&P 500 financial performance

Impact of COVID-19 effective reproductive rate on cryptocurrency

Causal treatment effects in time series: CO2 emissions and energy consumption effect on GDP

Stock market index prediction using transformer neural network models and frequency decomposition

A fuzzy regression causality approach to analyze relationship between electrical consumption and GDP

Trading support system for portfolio construction using wisdom of artificial crowds and evolutionary computation

A predictive and explanatory model for remaining useful life of crushers using deep learning

A hybrid model to forecast greenhouse gas emissions in Latin America

What if we intervene?: Higher-order cross-lagged causal model with interventional approach under observational design

How the effective reproductive number impacts global stock markets

Electrical consumption forecasting: a framework for high frequency data

Signaling sustainability: impact that learning how to report has on enrollment, endowment and emissions of North American higher education institutions

Applying the AHP to Conflict Resolution: A Russia—NATO Case Study

High Frequency and Dynamic Pairs Trading with Ant Colony Optimization

Asymmetric multi-fractal cross-correlations of the price of electricity in the US with crude oil and the natural gas

LEED certification and market value of the firm

Measuring U.S. influence in the world

Full Rank Voting: The Closest to Voting with Intensity of Preferences

The Strategic Approaches for a New Typology of Firm Patent Portfolios

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