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2021 Malaysia SME Industry Risk Indicators

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NIAID Data Ecosystem2026-05-10 收录
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https://data.mendeley.com/datasets/khbvmkk39z
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资源简介:
This is summarize dataset of financial risk indicators of Malaysia SMEs. There are 5 parameters including probability of default (PD), recovery rate, loss given default (LGD), loan share and expected return. There are also 5 sectors in the dataset, agriculture, manufacturing, construction, services and refining (others). Probability of Default (PD): Extracted from Lee & Liang (2022). All the data extracted are for the purpose of estimation of the enterprise risk management or related research. The main references are: [1] Lee, L., & Liang, T. W. (2022, March). Better business sentiment amid robust SME financing growth. Strategic Credit & Economic Analytics, SME Bank Group. https://www.smebank.com.my/documents/d/guest/betterbusinesssentiment_march2022 Contribution: PD [2] Galow, B., Georgescu, O.-M., & Ponte Marques, A. (2024). Loss-given-default and macroeconomic conditions (Working Paper Series No. 2954). European Central Bank. https://www.ecb.europa.eu//pub/pdf/scpwps/ecb.wp2954~1d1f8942c9.en.pdf Contribution: recovery rate and LGD [3] Kuriakose, S., & Tiew, H. (2022). Malaysian SME Program Efficiency Review. World Bank Group. http://documents.worldbank.org/curated/en/099255003152238688 Contribution: Loan Share [4] Asian Development Bank. (2023). Asia SME Monitor 2023 - Malaysia [Data set]. ADB Data Library. https://data.adb.org/dataset/2023-asia-small-and-medium-sized-enterprise-monitor Contribution: Expected Return
创建时间:
2026-01-21
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