Measuring shadow banking activities in Indonesia and the effect on Islamic banking

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This study aims to measure shadow banking of shadow banking activities in Indonesia and find the effects of these activities on Islamic banking in Indonesia. The research samples used to measure shadow banking activities are official funding and financing institutions registered with the Financial Services Authority in Indonesia, namely: Insurance funds, pension funds, financing institutions, special financing institutions, microfinance, and fintech peer to peer lending. And also, the deposit funds, financing, and financial performance ratio of banks consisting of ROA, FDR, NPF, and FDR owned by all Islamic banks in Indonesia consisting of Islamic commercial banks, Islamic units, and Islamic rural banks. The research period is from 2015-2020 with monthly data. Descriptive analysis, as well as statistical work, is used in the study of this paper. The descriptive method is carried out by following the Financial Stability Board to measure shadow banking activity. Meanwhile, the statistical work was carried out using the Vector Auto Regression (VAR) method to determine the effect of shadow banking activities on Islamic banking. Some interesting results related to shadow banking activities and their impact on Islamic banking are found in this research, and comprehensive recommendations are made for further study, the Islamic banking industry in Indonesia, government, and society.
Shadow banking , Islamic banking , Vector Auto Regression (VAR) , Fintech , Indonesia , Project paper (MSc)
Kusnan. (2021). Measuring shadow banking activities in Indonesia and the effect on Islamic banking (Master dissertation). INCEIF, Kuala Lumpur. Retrieved from

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