Title :	Determinants of banks deposited in Nepalese commercial banks
Material Type:	printed text
Authors:	Rabina Duwal, Author
Publication Date:	2018
Pagination:	90p.
Size:	GRP/Thesis
Accompanying material:	11/B
Languages :	English
Descriptors:	Bank and banking Bank deposits
Keywords:	'bank deposits  banks  banks and banking  commercial banks  nepal'
Class number:	346.730
Abstract:	The result shows that average saving deposit is highest for HML (Rs.25.25 billion) and lowest for CTZ (Rs. 4.55 billion). The average fixed deposit is highest for SBI (Rs.22.80 billion) and lowest for NCC (Rs. 4.73 billion). The average saving deposit rate is highest for NBB (5.95 percent) and lowest for SCB (1.74 percent). The average saving deposit rate is highest for NBB (5.95 percent) and lowest for SCB (1.74 percent). The average fixed deposit rate is highest for NCC (8.25 percent) and lowest for SCB (4.24 percent). The average number of branches is highest for SBI (48.80 number) and lowest for SCB (17 number). The average lagged value of bank deposit is highest for NIB (Rs.50.87 billion) and lowest for SCB (Rs.5.11 billion). The average bank liquidity is highest for SB (83.97 percent) and lowest for SCB (49.36 percent). The average lagged value of bank size is highest for NBL (Rs.58.64 billion) and lowest for NCC (Rs.15.60 billion). The descriptive statistics for selected commercial bank shows that the average saving deposit, fixed deposit, saving deposit rate, fixed deposit rate, number of branches, lagged value of bank deposit, bank liquidity and lagged value of bank size are Rs. 12.5989 billion, Rs. 10.6931 billion, 3.50 percent 5.34 percent, 32.8 numbers, average is 29.63 billion, 73 percent and Rs.34.75 billion respectively. The correlation matrix shows that saving deposit rate, per capita income and gross domestic product are negatively related to saving deposit whereas, number of branches, lagged value of bank deposit, bank liquidity, lagged value of bank size and money supply are positively related to saving deposit. The result also shows that fixed deposit rate, money supply and gross domestic product are negatively related to saving deposit whereas, number of branches, lagged value of bank deposit, bank liquidity, lagged value of bank size and per capita income are positively related to fixed deposit. The regression analysis reveals that saving deposit rate has negative and significant impact on the saving deposit. This indicates that lower the saving deposit rate, higher would be saving deposit. Similarly, the beta coefficient of gdp is negative. It reveals that lower the gross domestic product, higer would be the saving deposit. In addition, the beta coefficient of per capita income is negative. This indicates that decrease in per capita income leads to increase in the saving deposit. However, the number of branches has positive and significant impact on saving deposit. This indicates that increase in number of branches leads to increase in the saving deposit. Likewise, lagged value of bank deposit has positive impact on saving deposit. It indicates that higher the lagged value of bank deposit higher would be the saving deposit. Bank liquidity has positive impact on saving dpeosit. This indicates that higher the bank liquidity, higher would be the saving deposit. Lagged value of bank size is positive has positive impact on saving deposit. This reveals that higher the lagged bank size higher would be the saving deposit rate. Similarly, money supply has positive impact on the saving deposit. This shows higher the money supply, higher would be the saving deposit. The regression result shows fixed deposit rate has negative and significant impact on the fixed deposit. This indicates that lower the fixed deposit rate, higher would be fixed deposit. Similarly, money supply has negative impact on the fixed deposit. This shows lower the money supply, higher would be the fixed deposit. Similarly, the beta coefficient of gdp is negative. It reveals that lower the gross domestic product, higer would be the fixed deposit. However, the number of branches has positive and significant impact on fixed deposit. This indicates that increase in number of branches leads to increase in the fixed deposit. Likewise, lagged value of bank deposit has positive impact on fixed deposit. It indicates that higher the lagged value of bank deposit higher would be the fixed deposit. Bank liquidity has positive impact on fixed dpeosit. This indicates that higher the bank liquidity, higher would be the fixed deposit. Lagged value of bank size is positive has positive impact on fixed deposit. This reveals that higher the lagged bank size higher would be the fixed deposit rate. In addition, the beta coefficient of per capita income is positive. This indicates that increase in per capita income leads to increase in the fixed deposit.

Determinants of banks deposited in Nepalese commercial banks [printed text] / Rabina Duwal, Author . - 2018 . - 90p. ; GRP/Thesis + 11/B.
Languages : English

Descriptors:	Bank and banking Bank deposits
Keywords:	'bank deposits  banks  banks and banking  commercial banks  nepal'
Class number:	346.730
Abstract:	The result shows that average saving deposit is highest for HML (Rs.25.25 billion) and lowest for CTZ (Rs. 4.55 billion). The average fixed deposit is highest for SBI (Rs.22.80 billion) and lowest for NCC (Rs. 4.73 billion). The average saving deposit rate is highest for NBB (5.95 percent) and lowest for SCB (1.74 percent). The average saving deposit rate is highest for NBB (5.95 percent) and lowest for SCB (1.74 percent). The average fixed deposit rate is highest for NCC (8.25 percent) and lowest for SCB (4.24 percent). The average number of branches is highest for SBI (48.80 number) and lowest for SCB (17 number). The average lagged value of bank deposit is highest for NIB (Rs.50.87 billion) and lowest for SCB (Rs.5.11 billion). The average bank liquidity is highest for SB (83.97 percent) and lowest for SCB (49.36 percent). The average lagged value of bank size is highest for NBL (Rs.58.64 billion) and lowest for NCC (Rs.15.60 billion). The descriptive statistics for selected commercial bank shows that the average saving deposit, fixed deposit, saving deposit rate, fixed deposit rate, number of branches, lagged value of bank deposit, bank liquidity and lagged value of bank size are Rs. 12.5989 billion, Rs. 10.6931 billion, 3.50 percent 5.34 percent, 32.8 numbers, average is 29.63 billion, 73 percent and Rs.34.75 billion respectively. The correlation matrix shows that saving deposit rate, per capita income and gross domestic product are negatively related to saving deposit whereas, number of branches, lagged value of bank deposit, bank liquidity, lagged value of bank size and money supply are positively related to saving deposit. The result also shows that fixed deposit rate, money supply and gross domestic product are negatively related to saving deposit whereas, number of branches, lagged value of bank deposit, bank liquidity, lagged value of bank size and per capita income are positively related to fixed deposit. The regression analysis reveals that saving deposit rate has negative and significant impact on the saving deposit. This indicates that lower the saving deposit rate, higher would be saving deposit. Similarly, the beta coefficient of gdp is negative. It reveals that lower the gross domestic product, higer would be the saving deposit. In addition, the beta coefficient of per capita income is negative. This indicates that decrease in per capita income leads to increase in the saving deposit. However, the number of branches has positive and significant impact on saving deposit. This indicates that increase in number of branches leads to increase in the saving deposit. Likewise, lagged value of bank deposit has positive impact on saving deposit. It indicates that higher the lagged value of bank deposit higher would be the saving deposit. Bank liquidity has positive impact on saving dpeosit. This indicates that higher the bank liquidity, higher would be the saving deposit. Lagged value of bank size is positive has positive impact on saving deposit. This reveals that higher the lagged bank size higher would be the saving deposit rate. Similarly, money supply has positive impact on the saving deposit. This shows higher the money supply, higher would be the saving deposit. The regression result shows fixed deposit rate has negative and significant impact on the fixed deposit. This indicates that lower the fixed deposit rate, higher would be fixed deposit. Similarly, money supply has negative impact on the fixed deposit. This shows lower the money supply, higher would be the fixed deposit. Similarly, the beta coefficient of gdp is negative. It reveals that lower the gross domestic product, higer would be the fixed deposit. However, the number of branches has positive and significant impact on fixed deposit. This indicates that increase in number of branches leads to increase in the fixed deposit. Likewise, lagged value of bank deposit has positive impact on fixed deposit. It indicates that higher the lagged value of bank deposit higher would be the fixed deposit. Bank liquidity has positive impact on fixed dpeosit. This indicates that higher the bank liquidity, higher would be the fixed deposit. Lagged value of bank size is positive has positive impact on fixed deposit. This reveals that higher the lagged bank size higher would be the fixed deposit rate. In addition, the beta coefficient of per capita income is positive. This indicates that increase in per capita income leads to increase in the fixed deposit.