| Srl | Item |
| 1 |
ID:
165524
|
|
|
|
|
| Summary/Abstract |
Indian government has infused `250,000 million in the year 2016 and 2017 followed by `100,000 million within the year 2018 and 2019 with an inspiration of reducing the non-performing assets (NPAs) levels of public sector banks (PSBs). Figuring among the top 20 banks with the highest gross non-performing asset (GNPA) ratios, according to CARE Ratings’ analysis of the first quarter results of 38 banks, PSBs are more stressed than their private sector counterparts. On a quarter-on-quarter basis, the increase in NPAs has been the highest in Quarter 1 FY18 witnessing a rise of 16.6 per cent, achieving `8,293,380 million as of June 2017. This study is an effort to study the impact of NPAs, causes, suggestive measures and the need of recapitalisation of PSBs to tackle the crisis. It further suggests a standardised model which can help banks to keep in check of additional capital required for maintaining minimum CET 1 as per regulatory norms.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
ID:
180246
|
|
|
|
|
| Summary/Abstract |
This study endeavours to augment the existing literature on the productive efficiency of Indian domestic banks in the presence of non-performing assets (NPAs), by employing the Weighted Russell Directional Distance Model (WRDDM). Following the intermediation approach, the banking technology set includes three inputs, three desirable outputs and one undesirable output, namely NPAs. Due to their inherent technological heterogeneity, public sector banks (PSBs) and private banks (PVBs) have been analysed as separate groups. Balanced panels of 26 PSBs and 18 PVBs are constructed from 2010-2011 to 2016-2017. The results indicate a considerable scope of improvement in the productive performance of both categories of banks. The break-up of overall inefficiency into input- and output-specific components reveals some stimulating information. For PSBs, the inefficiencies primarily result due to physical capital, while for PVBs they emerge mainly from other incomes. However, NPAs are also a key contributor to inefficiency for both the categories of banks. The inefficiency scores also indicate that, across ownership categories, medium-sized banks are poorer performers than their smaller and larger counterparts.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|