Bujang, Imbarine
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Examining the Industrial Impact of Fintech Lending in the Post-Next Normal Era Ramdhan, Nur 'Asyiqin; Bujang, Imbarine; Muhamat, Amirul Afif; Lisdiono, Purwatiningsih
Indonesian Capital Market Review Vol. 17, No. 1
Publisher : UI Scholars Hub

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Abstract

The financial sector has undergone a substantial paradigm shift as a consequence of the COVID-19 pandemic prompting industries actively innovate their financing method. Utilizing ARDL, our analysis reveals intriguing insights into the interaction of financing determinants interruptions caused by the epidemic, and the P2P lending success. The long-term effects of economic conditions alluding to the significant influence of investment size across various industrial sectors. The industrial differences suggest interesting connections between the size of investments, and loan tenure to the P2P lending in different industries. The wholesale and retail trade sector demonstrates intricate reactions to changes in investment size, while manufacturing sector impacted by BLR. Conversely, the susceptibility of the agriculture sector to exogenous shocks presents a captivating narrative for the investigation. Our study provides significant contributions to the complex domain of P2P lending in the context of global disruptions.
The profit efficiency analysis of malaysian commercial banks: A Data Envelopment Analysis (DEA) Arif, Nursyazfaliana Mohd; Nasir, Ayunazira; Rodrigo, Rakin Syuwari; Bujang, Imbarine; Supar, Siti Julea
Annals of Management and Organization Research Vol. 4 No. 3 (2023): February
Publisher : goodwood publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/amor.v4i3.1565

Abstract

Purpose: This study aims to measure and compare the profit efficiency of local and international commercial banks in Malaysia before and during the COVID-19 pandemic in accordance with the new Basel Committee III guidelines, which mandate banks to adopt a systematic approach to deal with uncertain economic conditions, including events such as the COVID-19 pandemic. Research methodology: This study uses Data Envelopment Analysis (DEA), a non-parametric method based on linear mathematical programming, to measure the efficiency of local and international commercial banks in Malaysia. Results: The analysis revealed that local international commercial banks were more efficient than local commercial banks before and during the COVID-19 crisis. Limitations: Potential areas for future research involve extending the application of Data Envelopment Analysis (DEA) and examining various dimensions and metrics about different countries, as each country possesses distinct financial contexts. Contribution: This study contributes to the existing body of literature on the profit efficiency of local and international banks. It provides insights that can assist the government in formulating appropriate regulations to enhance banks’ profit efficiency, thereby improving their overall performance.