Financing Risk Analysis Using Autoregressive Distributed Lag Approach
Study on Islamic Commercial Banks in Indonesia
Abstract
This study aims to determine the factors that influence financing risk by using an autoregressive distributed lag study approach at Islamic Commercial Banks in Indonesia. The variables used are the quality of earning assets and the financing to deposit ratio, inflation and the BI rate. The subject of this research is an Indonesian Sharia Merchant Bank registered with the OJK. for the sample used using a saturated sampling technique using the entire population as a sample. This study used analytical method used autoregressive distributed lag, and the data obtained is processed using the Eviews 10 tool. The results of this study indicate that in the short term the BI rate has a significant positive effect on the NPF. The long-term KAP variable has a positive and significant effect on NPF. Meanwhile, inflation and FDR have no effect on NPF in both the short and long term.
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