Macro-economic indicators and housing price index in Spain: fresh evidence from FMOLS and DOLS
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 …
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 …
over twenty-two different currencies. This chapter proposes two machine learning algorithms …
Does uncertainty predict cryptocurrency returns? A copula-based approach
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 …
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
The fluctuations of economic and financial time series are influenced by various kinds of
factors and usually demonstrate strong nonstationary and high complexity. Therefore …
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 …
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.
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 …
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 …
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
Over the past several decades, ecologists have been striving to develop models that
accurately describe species-habitat relationships across ecological communities. Statistical …
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 …
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 …
to measure the impact of key elements on the forecasting performance of real estate …