Macro-economic indicators and housing price index in Spain: fresh evidence from FMOLS and DOLS

A Raza, L Asif, T Türsoy, M Seraj… - International Journal of …, 2023 - emerald.com
Macro-economic indicators and housing price index in Spain: fresh evidence from FMOLS
and DOLS | Emerald Insight Books and journals Case studies Expert Briefings Open Access …

Foreign currency exchange rate prediction using long short-term memory, support vector regression and random forest regression

MF Rabbi, MH Moon, FT Dhonno, A Sultana… - Financial data analytics …, 2022 - Springer
This chapter aims to predict the foreign currency exchange rate on the basis of the US dollar
over twenty-two different currencies. This chapter proposes two machine learning algorithms …

Does uncertainty predict cryptocurrency returns? A copula-based approach

U Koumba, C Mudzingiri, J Mba - Macroeconomics and Finance in …, 2020 - Taylor & Francis
This study is confined in analysing how the economic policy uncertainty (EPU) effects affect
exchange rates on cryptocurrency assets in times of financial turbulence characterized by …

A hybrid approach integrating multiple ICEEMDANs, WOA, and RVFL networks for economic and financial time series forecasting

J Wu, T Zhou, T Li - Complexity, 2020 - Wiley Online Library
The fluctuations of economic and financial time series are influenced by various kinds of
factors and usually demonstrate strong nonstationary and high complexity. Therefore …

Application of grey relational analysis and artificial neural networks on corporate social responsibility (CSR) indices

JF Diaz, TT Nguyen - Journal of Sustainable Finance & Investment, 2023 - Taylor & Francis
This research examines return predictability based on minimized forecast errors of CSR
Indices through the grey relational analysis (GRA) and three types of artificial neural …

[PDF][PDF] Development of combined method for predicting the process of the occurrence of emergencies of natural character.

H Ivanets, S Horielyshev, M Ivanets, D Baulin… - 2018 - repositsc.nuczu.edu.ua
There is a persistent tendency throughout the world to the increase in contradictions
between man and his natural environment (disasters at nuclear power plants, tsunamis …

[PDF][PDF] Обобщенный критерий согласованности поведения в регрессионном анализе

СИ Носков - Информационные технологии и математическое …, 2018 - ismm.irgups.ru
В статье приводится модификация введенного автором ранее нового критерия
адекватности регрессионных уравнений–критерия «согласованность поведения», или …

[HTML][HTML] Comparison of regression-based and machine learning techniques to explain alpha diversity of fish communities in streams of central and eastern India

R Mondal, A Bhat - Ecological Indicators, 2021 - Elsevier
Over the past several decades, ecologists have been striving to develop models that
accurately describe species-habitat relationships across ecological communities. Statistical …

[PDF][PDF] Forecasting of foreign currency exchange rate using neural network

SK Chandar, M Sumathi… - International Journal of …, 2015 - researchgate.net
Foreign exchange market is the largest and the most important one in the world. Foreign
exchange transaction is the simultaneous selling of one currency and buying of another …

Grey relational analysis and neural network forecasting of REIT returns

JH Chen, TT Chang, CR Ho, JF Diaz - Quantitative Finance, 2014 - Taylor & Francis
This study employs the Grey Relational Analysis (GRA) and Artificial Neural Network (ANN)
to measure the impact of key elements on the forecasting performance of real estate …