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ISSN : 2233-4165(Print)
ISSN : 2233-5382(Online)
Journal of Industrial Distribution & Business Vol.8 No.4 pp.15-21
DOI : http://dx.doi.org/10.13106/ijidb.2017.vol8.no4.15.

Forecasting for a Credit Loan from Households in South Korea

Dong-Bin Jeong
Professor, Department of Information Statistics and Research Institute of Natural Science of Gangneung-Wonju National University, Korea. Tel: +82-33-640-2274, E-mail: dj@gwnu.ac.kr

July 18, 2017. August 25, 2017. September 15, 2017.

Abstract

Purpose – In this work, we examined the causal relationship between credit loans from households (CLH), loan collateralized with housing (LCH) and an interest of certificate of deposit (ICD) among others in South Korea. Furthermore, the optimal forecasts on the underlying model will be obtained and have the potential for applications in the economic field.
Research design, data, and methodology – A total of 31 realizations sampled from the 4th quarter in 2008 to the 4th quarter in 2016 was chosen for this research. To achieve the purpose of this study, a regression model with correlated errors was exploited. Furthermore, goodness-of-fit measures was used as tools of optimal model-construction.
Results – We found that by applying the regression model with errors component ARMA(1,5) to CLH, the steep and lasting rise can be expected over the next year, with moderate increase of LCH and ICD.
Conclusions – Based on 2017-2018 forecasts for CLH, the precipitous and lasting increase can be expected over the next two years, with gradual rise of two major explanatory variables. By affording the assumption that the feedback among variables can exist, we can, in the future, consider more generalized models such as vector autoregressive model and structural equation model, to name a few.

JEL Classification: B22, C22, C53, M21.

초록


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