Credit is an economic category and is also a product of the commodity economy, which exists through many socio-economic forms to promote economic growth. Therefore, the objective of this paper is to analyst, compare and forecast domestic credit growth in Vietnam's and China's economy. Thus, the paper is applied by a method of an autoregressive integrated moving average (ARIMA) model. This model is fitted to time series data both to better understand the data and to forecast future points in the series. Hereby, the methodology is selected by Vietnam's bestfit model ARIMA (2,3,1) and China's best-fit model ARIMA (2,3,5). Analytical data are collected from 1996 to 2017, the sample fitted the model and is statistically significant. The result show the forecast result for next years. The Vietnamese and Chinese economy are the open economies and have domestic credit greatly contributed to economic growth. These results are the basis for policymakers to have a general view and define the impact of domestic credit growth on GDP between the two countries.

This study discusses the variables that can determine the growth of bank credit in Indonesia. The selected independent variables are the control of third-party funds and operating costs on credit growth. The analytical method used is multiple regression with Probit analysis to see the lag-1 and lag-2 data categories. The results obtained that the Control of Third Parties Funds and Operational Costs on Credit Growth obtained significant results according to the simultaneous hypothesis testing. It means that the third-party funds and the operating costs affect credit growth. Meanwhile, the third-party funds partially influence the dependent variable, namely credit growth. Finally, the operational costs partially influence the dependent variable, namely credit growth.

This study purposes to discover the interactive relationship between credit growth and profitability and to examine factors that affect the credit growth and profitability of people's credit funds (PCFs). After regression analysis on a set of panel data from 2013 to 2018 on 24 selected PCFs, it appeared that deposit growth and loan-to-deposit ratio had positive relationships with credit growth, and capital adequacy ratio and profitability had negative relationships with credit growth of PCFs. The age of PCFs has a positive relationship with profitability, while the credit growth, debt-to-equity ratio, non-performing loan ratio, economic growth and inflation have negative relationships with profitability of PCFs. The study found the credit growth and profitability have relationships with each other in a contrary trend. Based on the findings the study proposes policy measures that could be implemented by the managers to increase PCFs’ credit growth rate and profitability.