Muhammad Iqbal
I am a lecturer and researcher in Islamic economics. My research has been extensively involved in Islamic finance and banking, particularly banking performance, risk management and financing. Currently I am focusing on research on Islamic fintech peer to peer lending (P2PL) related to its potential and role in encouraging Islamic financial inclusion, as well as its strategic position in the Islamic financial system. I have expertise in econometrics and enjoy exploring new methods of research, both qualitative and quantitative.
Supervisors: Advisors
Phone: +6287741578842
Address: Jl. Perbanas, Karet Kuningan, Setiabudi, Jakarta, 12940, Indonesia
Supervisors: Advisors
Phone: +6287741578842
Address: Jl. Perbanas, Karet Kuningan, Setiabudi, Jakarta, 12940, Indonesia
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Papers by Muhammad Iqbal
analysis using panel data regresion. The results showed that the variables Third-Party Funds, Non-Performing Financing, Murabaha Margin, Inflation, BI Rate and Growth of GDP simultaneously have a significant affecting on Murabaha Financing. Contrary, the findings in partial showed that Third-Party Fund, Non-Performing Financing, Murabaha Margin, Inflation and Growth of GDP significant affecting on murabaha financing. The coefficient of determination is 0.963958, meaning that the independent variables Third-Party Funds, Non-Performing Financing, Murabaha Margin, Inflation, BI Rate Growth of GDP simultaneously affect Murabaha Financing amounting to 96.39 percent, while the remaining 3.61 percent
affected by other factors not included in this research model.
and economic sector on credit risk with Good Corporate Governance (GCG) as moderation and size as a variable control. This study used secondary data from banks, which are the lead entities of financial conglomerates listed on the Indonesia Stock Exchange in 2015-2017 with a purposive sampling technique. The data was analyzed using panel data regression. The results showed that GCG could strengthen the effect of credit risk diversification based on the type of use (HHI₁) and the economic sector (HHI₂) on credit risk (NPL). Size has a positive and significant effect on NPL, but risk diversification based on the type of use (HHI₁) and economic sector (HHI₂) is not significant on Non-Performing Loan (NPL).
analysis using panel data regresion. The results showed that the variables Third-Party Funds, Non-Performing Financing, Murabaha Margin, Inflation, BI Rate and Growth of GDP simultaneously have a significant affecting on Murabaha Financing. Contrary, the findings in partial showed that Third-Party Fund, Non-Performing Financing, Murabaha Margin, Inflation and Growth of GDP significant affecting on murabaha financing. The coefficient of determination is 0.963958, meaning that the independent variables Third-Party Funds, Non-Performing Financing, Murabaha Margin, Inflation, BI Rate Growth of GDP simultaneously affect Murabaha Financing amounting to 96.39 percent, while the remaining 3.61 percent
affected by other factors not included in this research model.
and economic sector on credit risk with Good Corporate Governance (GCG) as moderation and size as a variable control. This study used secondary data from banks, which are the lead entities of financial conglomerates listed on the Indonesia Stock Exchange in 2015-2017 with a purposive sampling technique. The data was analyzed using panel data regression. The results showed that GCG could strengthen the effect of credit risk diversification based on the type of use (HHI₁) and the economic sector (HHI₂) on credit risk (NPL). Size has a positive and significant effect on NPL, but risk diversification based on the type of use (HHI₁) and economic sector (HHI₂) is not significant on Non-Performing Loan (NPL).