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https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/15816
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DC Field | Value | Language |
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dc.contributor.author | Dash, Mihir | - |
dc.date.accessioned | 2024-07-11T13:41:17Z | - |
dc.date.available | 2024-07-11T13:41:17Z | - |
dc.date.issued | 2017-04-01 | - |
dc.identifier.uri | https://dx.doi.org/10.2139/ssrn.3567379 | - |
dc.identifier.uri | https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/15816 | - |
dc.description.abstract | This study examines the role of non-performing loans in systemic risk for Indian banks using a fixed-effects panel regression model, with bank fixed effects and year fixed effects. The moderator variables considered for the study include bank size, capital adequacy, leverage, deposits, loans & advances, and investments. The study contributes to the literature by proposing the concept of maximum level of non-performing loans for neutral systemic risk, which is the level of net non-performing loans to net advances for which the systemic risk is non-positive. The results of the study indicate that bank size, capital adequacy, and loans & advances have a significant impact on the maximum level of non-performing loans for neutral systemic risk. Further, the results of the study suggest that the role of non-performing loans in systemic impact was different for public sector and private sector banks. The study suggests that the model can be used to set maximum levels of non-performing loans for individual banks with estimates or projections of the bank’s characteristics. | en_US |
dc.language.iso | en | en_US |
dc.publisher | SSRN | en_US |
dc.subject | Systemic Risk | en_US |
dc.subject | Non-Performing Loans | en_US |
dc.subject | Neutral Systemic Risk | en_US |
dc.subject | Neutral Systemic Risk | en_US |
dc.subject | Neutral Systemic Risk | en_US |
dc.title | Non-Performing Loans and Systemic Risk of Indian Banks | en_US |
dc.type | Article | en_US |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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ssrn-3567379.pdf | 323.27 kB | Adobe PDF | View/Open |
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