Selection Of Optimal Model For Iraqi Banking Loans Through Model Selection Of Bayesian Quantile Regression
Selection Of Optimal Model For Iraqi Banking Loans Through Model Selection Of Bayesian Quantile Regression
Author(s): Fadel Hamid Hadi AlhusseiniSubject(s): Politics / Political Sciences, Economy, National Economy, Business Economy / Management, Political Theory, Political economy, Public Finances, Socio-Economic Research
Published by: Editura Universitaria Craiova
Keywords: banking loans;model selection;quantile regression model; variables selection;Bayesian approach;
Summary/Abstract: Banking loans are a provided to organizations or individuals. Banking loans are organized by contract agreement between banks and organizations or individuals to guarantee a specific interest rate. Therefore, banking loans are affected by a set of external and internal factors. Identifying the variables that affect banking loans the most is useful for analysis purposes. Identifying the important variables it’s a challenging process and in order to overcome this issue, we employed the model selection of quantile regression for modelling the relationship between banking loans and a set of independent variables (factors) through computing relative importance to model variables studied by using the function (SSVSquantreg) within package MCMCpack.
Journal: Revista tinerilor economişti
- Issue Year: 2017
- Issue No: 28
- Page Range: 76-86
- Page Count: 11
- Language: English