Capital adequacy and systemic risk: Evidence from selected Indian private sector banks
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.spl-2.31Keywords:
Capital adequacy test, Private sector banksDimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This study investigates the relationship between systemic risk and capital adequacy in certain private-sector banks in India. Based on the CAMEL paradigm, this study examines five key financial ratios: CAR, DER, TATA, GSTR, and CDR. These ratios measure the extent to which funds have been advanced relative to total assets. Banks' risk profiles and financial health are assessed using these ratios in light of regulatory requirements and market stability. To examine the impact of these ratios on systemic risk indicators, we use the average data from 2018–19 to 2022–23.Abstract
How to Cite
Downloads
Similar Articles
- L. K. Mishra, A. P. Singh, AGE AND CREATIVITY: EFFECT OF CHRONOLOGICAL AGE ON MANAGER’S CREATIVITY , The Scientific Temper: Vol. 8 No. 1&2 (2017): The Scientific Temper
- Farheen Najma B, Faseeha Begum, Resistance to digital banking by senior citizens in India - A review , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Vishnu Prasad C, Ramaprabha D, An assessment of growth indicators and intricacies of Udyam entities in the post-pandemic era , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Kalyani K., Praveen Kumar T. D., Roopa A. N., AI-based tools for enhancing reflective practice and self-efficacy in pre-service teachers , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- Manpreet Kaur, Shweta Mishra, A smart grid data privacy-preserving aggregation approach with authentication , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- V. Yamuna , P. Kandhavadivu, Recent developments in the synthesis of superabsorbent polymer from natural food sources: A review , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Pankitbhai C. Patel, Jignesh Valand, A study on consumer’s perception towards e-banking services of co-operative banks in rural areas with special reference to Gandhinagar , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- V. Babydeepa, K. Sindhu, Piecewise adaptive weighted smoothing-based multivariate rosenthal correlative target projection for lung and uterus cancer prediction with big data , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- RUCHI SHARMA, YOUGESH KUMAR, STATISTICAL ANALYSIS OF MONOGENEAN POPULATIONS INFESTING FRESH WATER FISH CHANNA PUNCTATUS , The Scientific Temper: Vol. 10 No. 1&2 (2019): The Scientific Temper
- Shiv Kumar, Vinay Chauhan, Empowering Indian consumers to embrace electric vehicles through the unified theory of acceptance and use of technology , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Amit Maru, Dhaval Vyas, Hybrid deep learning approach for pre-flood and post-flood classification of remote sensed data , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
