Table 9

Impact of large deposits on banking fragility in India – loan-loss provisioning model

(1)
SymbolsVariablesLLPOPR
T20DEPTop 20 depositors share0.240***
 −0.088
CDRCredit-to-deposit ratio−0.025
 (0.023)
CASARCurrent Account Savings Account Ratio0.146*
 (0.075)
NNPARNet nonperforming assets ratio−0.046
 (0.240)
SLSSLending to sensitive sector-to-total assets ratio−10.889
 (9.380)
SPRIOLending to priority sector-to-total assets ratio4.402
 (5.445)
SUSLUnsecured lending-to-total assets ratio−9.094
 (6.429)
NLTANatural log of total assets0.334
 (0.706)
GDPRGross domestic product growth rate0.051
 (0.060)
REPRepo rate0.149
 (0.211)
CTACash-to-total assets ratio−12.393
 (13.261)
ConstantConstant−7.945
 (10.775)
Observations 426
Number of bank 49
Entity effects YES
Prob > F 0.01**
Overall R2 0.0197

Note(s): ***p < 0.01, **p < 0.05, *p < 0.1

Figures in brackets are standard errors. ***, ** and * indicates statistical significance at 1%, 5% and 10%, respectively. Robust standard errors are in parentheses

The table shows the panel regression results using equation (2), using an alternative dependent variable of loan loss provision. Loan loss variables is scaled using operating profits and regressed with the independent variables, deposit concentration (T20DEP), credit-to-deposit ratio (CDR), current account and savings account ratio (CASAR), net nonperforming assets ratio (NNPAR), scaled lending to sensitive sectors (LSS), scaled priority sector lending (SPRIO), scaled unsecured loan (USL), natural log of total assets (NLTA), growth in gross domestic product (GDPR), benchmark repo rate (REP) and cash to total assets (CTA). Deposit concentration (T20D) is the key variable of interest. Columns (1) and (2) are the random effects model with time fixed effects and without time fixed effects

Source(s): Authors' estimates

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