English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The research aims at analyzing the influence of 5 industry-specific and 4 macroeconomic factors on the non-performing assets of SBI and Associate Banks in India by collecting the relevant data for a period of 10 years ranging from 2006-07 to 2015-16. The results of multiple correlation analysis ensured the positive correlation between Repo Rate (RR), Reverse Repo Rate (RRR), Unemployment Rate (UR) and NonPerforming Assets (GNPATA) whereas the variables such as Capital Adequacy Ratio (CAR), Cash Reserve Ratio (CRR) Prime Lending Rate (PLR), Money Supply (MS) and Gross Domestic Product Growth Rate (GDPGR) showed a negative impact on the non-performing assets. The Granger Causality Test confirmed the association of CAR, CRR, RRR, IR, MS, UR and GDPGR with the non-performing assets whereas the remaining variables such as PLR and RR portrayed a negative relationship with the non-performing assets. Further the Johansen Cointegration Test results witnessed that all the institutional-specific and macroeconomic variables are co-integrated with the non-performing assets of SBI and Associate Banks in India.

ictact journal on management studies

AN EXPLORATORY ANALYSIS ON THE IMPACT OF INSTITUTIONAL-SPECIFIC CUM MACROECONOMIC INDICATORS ON THE NON-PERFORMING ASSETS OF SBI AND ASSOCIATE BANKS IN INDIA