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1. 52(C): 55-76. https://doi.org/10.1016/j.iref.2017.09.011 Olivero, M.P., Li, Y., and Joen, B.N. (2011). Competition in Banking and The Lending Channel: Evidence From Bank-Level Data in Asia and Latin America. Journal of Banking and Finance, 35 (3), 560–571. https://doi.org/10.1016/j.jbankfin.2010.08.004 Olivero, M.P., Li, Y., and Joen, B.N. (2011). Consolidation in Banking and The Lending Channel of Monetary transmission: Evidence from Asia and Latin America. Journal of International Money and Finance, 30 (6), 1034–1054. https://doi.org/10.1016/j.jimonfin.2011.06.006 Saheruddin, H., Ariefianto, M.D., and Soedarmono, W. (2020). The intertemporal impacts of market power on bank risk: Evidence from the Indonesian banking industry. International Journal of Economics and Management 14(2), 279-289.

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6. Table 2. Correlation matrix Variables LOANG DLOAN EQTA1 EQTA2 PRATE CTI DTA SIZE LLP ULG INF LOANG 1 DLOAN 0.94 1 EQTA1 0.0064-0.0087 1 EQTA2 0.0064-0.0087 1 1 PRATE 0.0852 0.0834 0.0333 0.0333 1 CTI-0.1059-0.1171 0.1733 0.1733 0.0374 1 DTA 0.0949 0.0891-0.3358-0.3358-0.0323 0.1686 1 SIZE 0.0226 0.0166-0.3892-0.3892-0.0383-0.2569-0.0187 1 LLP-0.1035-0.1527 0.1763 0.1763-0.0713 0.229-0.0914 0.1618 1 ULG 0.0462 0.0438-0.0073-0.0073 0.0232-0.0179 0.0206-0.0124-0.0091 1 INF 0.1765 0.1698 0.0396 0.0396 0.2268 0.0462 0.0478-0.0767-0.0593 0.0457 1 Sources and notes: Authors’ calculation.
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