CHAPTER III FINANCIAL INCLUSION INITIATIVES OF COMMERCIAL BANKS

Size: px
Start display at page:

Download "CHAPTER III FINANCIAL INCLUSION INITIATIVES OF COMMERCIAL BANKS"

Transcription

1 CHAPTER III FINANCIAL INCLUSION INITIATIVES OF COMMERCIAL BANKS "Efficient financial systems are vital for the prosperity of a community and a nation as whole. To ensure that poor people are included in the benefits of development, it is necessary that these vast numbers have consistent access to financial services, access that can translate into a key element of economic growth and poverty alleviation: options." - Jose Antonio Ocampo, Under Secretary General for Economic & Social Affairs. The Economic development of any Nation predominantly depends on the equitable regional growth of the country. India majorly being a rural economy, bulk of the population in the rural region is below the standard of living. The reason for below the standard of living is the very less circulation of money and employability in the rural areas leading to disparity of purchasing power than the urban centres. Henceforth the requirement of Commercial banks came in to existence as a threshold financial institution in rural India to bridge the gap between free flow of money and rural population. Commercial bank plays a significant role in the development of the nations and it constitutes the life blood of an advanced economic society. The growth of sound commercial banking will lead the nation at the top in the world; equivalent to the status of the developed economy. Commercial bank is a lever of the economy; it mobilizes the spreader saving of the society and redistributes them into more useful routes. It receives deposits from the public and it makes loans and advances out of the public deposits. In addition, they satisfy the financial needs of the various sectors such as agriculture, industry, trade, communication, whereby they play a significant role in the process of economic social needs. The functions performed by banks, since 78

2 recently, are becoming more people-oriented irrespective of rich and the poor. The service rendered by a modern commercial bank is immeasurable and it enables large payments to be made over the world through e-banking. The Government of India has taken a decision to include that population who are not availing the services in the fold of monetary products and services. Reserve Bank of India (RBI) initiated the commercial banks to serve that segment of the society in the rural India. There are certain initiatives taken by the commercial banks such as opening of No-frills accounts, Kisan Credit Card (KCC), General Credit Card (GCC), Over Draft (OD) facilities, appointment of Business Correspondents (BCs), Extension of Automated Teller Machine (ATM) centres etc., strengthening the lead bank scheme, opening the ultra small branches, automation of branches, speedy services are the further some. Today the banks are more willing to cover the financially excluded segment of the society by extending both their operations and acquiring the customers. In this respect, the banks have taken financial inclusion initiative on the basis of villages covered over the population of 2000, between the population 1600 and 2000, and the population below 1600 in the villages in India. The Commercial banks are generally classified in to Public sector banks, Private sector banks and Foreign banks. All the Public sector banks, Private sector banks and Foreign banks have the responsibility to spread their services in rural areas to strengthen the economy of the households thereby the Nation. Initiation has been taken by the banks for avoiding exclusion in a phase wise to cover the villages in India (excepting north eastern and major hill stations). In addition, Regional rural banks and Co-operative banks are also initiated by RBI through various commercial banks and NABARD respectively for attaining full financial inclusion in India. In this respect to understand the present position / effectiveness of Financial Inclusion 79

3 initiatives taken by the commercial banks in India and in particular Nagapattinam district, the quarterly data were collected from the RBI website since 2006 to The following statistical tools like t test, ANOVA, Discriminant Analysis, Regression and econometric tools like PANEL data regression are applied to see the fixed and random effects of the data to identify the influence of Financial Inclusion Initiatives. 3.1 PSBs AND OSCBs IN INDIA Table 3.1 One Way ANOVA between PSBs and OSCBs in India No. of offices No. of employees Business per employee Profit per employee Capital and Reserves & Surplus Deposits Investments Sum of Mean df Squares Square Between Groups 2.24E E+09 Within Groups 9.68E Total 2.34E Between Groups 3.83E E+12 Within Groups 3.5E E+09 Total 3.87E Between Groups Within Groups Total Between Groups Within Groups Total Between Groups 4.15E E+13 Within Groups 2.34E E+11 Total 6.49E Between Groups 6.45E E+15 Within Groups 2.65E E+13 Total 9.1E Between Groups 7.73E E+14 Within Groups 2.5E E+12 Total 1.02E F Sig

4 Sum of Mean df Squares Square Between Groups 3.51E E+15 Advances Within Groups 1.76E E+13 Total 5.26E Between Groups 5.14E E+13 Interest income Within Groups 2.66E E+11 Total 7.8E Between Groups 1.33E E+11 Other income Within Groups 4.01E E+10 Total 1.73E Between Groups 2.19E E+12 Interest expended Within Groups 1.25E E+11 Total 3.44E Between Groups 2.88E E+11 Operating expenses Within Groups 8.35E E+10 Total 3.72E Between Groups Cost of Funds Within Groups (CoF) Total Return on Between Groups advances adjusted Within Groups to CoF Total Between Groups Wages as % to total expenses Within Groups Total Between Groups Return on Assets Within Groups Total Between Groups CRAR Within Groups Total F Sig

5 The above table 3.1 shows that there is a significant difference in No. of offices, No. of employees, Business per employee, Profit per employee, Capital and Reserves & Surplus, Deposits, Investments, Advances, Interest income, Other income, Interest expended, Operating expenses, Cost of Funds (CoF), Return on advances adjusted to CoF, Wages as % to total expenses, Return on Assets and CRAR by PSBs and OSCBs at 1% level of significance. It means the No. of offices, No. of employees, Business per employee, Profit per employee, Capital and Reserves & Surplus, Deposits, Investments, Advances, Interest income, Other income, Interest expended, Operating expenses, Cost of Funds (CoF), Return on advances adjusted to CoF, Wages as % to total expenses, Return on Assets and CRAR in PSBs and OSCBs were having significant differences at 1% level in India DISCRIMINANT ANALYSIS FOR POPULATION ON FINANCIAL INCLUSION Discriminant Analysis is used primarily to predict in Rural, Semi-urban, Urban, Metropolitan and No. of branches, Credit, Deposits. Tests of Equality of Group Means the results of univariate ANOVA s, carried out for each independent variable. An eigenvalue indicates the proportion of variance explained. A large eigenvalue is associated with a strong function. The canonical relation is a correlation between the discriminant scores and the levels of the dependent variable. A high correlation indicates a function that discriminates well. Wilks Lambda is the ratio of within groups sums of squares to the total sums of squares. A small lambda indicates that group means appear to differ. The associated significance value indicates whether the difference is significant. The Canonical Discriminant Function Coefficients indicate the unstandardized scores concerning the 82

6 independent variables. It is the list of coefficients of the unstandardized discriminant equation. Functions at Group Centroide indicates the average discriminant score for subjects in the two groups. Classification Results is a simple summary of number and percent of subjects classified correctly and incorrectly. Table Group Statistics and Summary of Canonical Discriminant Functions - Eigenvalues for Population on Financial Inclusion Population Mean Std. Deviation Rural Semi-urban Urban Metropolitan Total No. of branches Credit Deposits No. of branches Credit Deposits No. of branches Credit Deposits No. of branches Credit Deposits No. of branches Credit Deposits Function Eigenvalue % of Variance Cumulative % Canonical Correlation a a a a. First 3 canonical discriminant functions were used in the analysis. Table gives a canonical correlation of.421,.225 and.018 suggests the model explains 80.0%, 19.9% and 0.10% of the variation in the grouping variable. 83

7 Table Wilks' Lambda for Population on Financial Inclusion Test of Function(s) Wilks' Lambda Chi-square df Sig. 1 through through This table indicates the Wilks lambda significance of the discriminant function. A highly significant function (p <.000) and provides the proportion of total variability not explained, i.e. it is the converse of the squared canonical correlation. Table Standardized Canonical Discriminant Function Coefficients for Population on Financial Inclusion Function No. of branches Credit Deposits The Table interprets the discriminant coefficients (or weights). These three variables with large coefficients stand out as those that strongly predict allocation to the Rural, Semi-urban, Urban and Metropolitan. Table Structure Matrix for Population on Financial Inclusion Function Deposits * No. of branches * Credit * Pooled within-groups correlations between discriminating variables and standardized canonical discriminant functions Variables ordered by absolute size of correlation within function. *. Largest absolute correlation between each variable and any discriminant function 84

8 Table provides another way of indicating the relative importance of the predictors. The structure matrix table shows the corelations of each variable with each discriminate function. These Pearson coefficients are structure coefficients or discriminant loadings. Table Canonical Discriminant Function Coefficients for Population on Financial Inclusion Function No. of branches Credit Deposits (Constant) Unstandardized coefficients The table explains canonical discriminant function coefficient. These unstandardized coefficients are used to create the discriminant function (equation). It operates just like a regression equation. The discriminant function coefficients b or standardized form beta both indicate the partial contribution of each variable to the discriminate function controlling for all other variables in the equation. The difference in squared canonical correlation indicates the explanatory effect of the set of dummy variables. Table Functions at Group Centroids for Population on Financial Inclusion Population Function Rural Semi-urban Urban Metropolitan

9 Group centroids table shows the further way of interpreting discriminant analysis results is to describe each group in terms of its profile, using the group means of the predictor variables. These group means are called centroids. Table Classification Statistics - Prior Probabilities for Groups for Population on Financial Inclusion Population Prior Cases Used in Analysis Unweighted Weighted Rural Semi-urban Urban Metropolitan Total Table provides Prior Probabilities for Groups. The table shows the unweighted weighted cases used in the analysis. Table Classification Results for Population on Financial Inclusion Population Predicted Group Membership Rural Semi-urban Urban Metropolitan Rural (43.2) (13.9) (42.1) (.8) Semi-urban (23.4) (12.6) (64.0) (.0) Urban (10.7) (6.7) (79.8) (2.7) Metropolitan (3.2) (1.8) (76.7) (18.3) Total 875 (100) 875 (100) 875 (100) 875 (100) The classification results (Table 3.2.8) reveal that 43.2%, 64%, 79.8%, and 76.7% of respondents were classified correctly into Rural, Semi-urban, Urban and Metropolitan. This overall predictive accuracy of the discriminant function is called the hit ratio. 86

10 3.3 DISCRIMINANT ANALYSIS FOR REGION ON FINANCIAL INCLUSION Discriminant Analysis is used to predict membership in Central Region, Eastern Region, North Eastern, Northern, Southern, Western and No. of branches, Credit, Deposits. Table Group Statistics and Summary of Canonical Discriminant Functions - Eigenvalues for Region on Financial Inclusion Region Mean Std. Deviation No. of branches Central Region Eastern Region North Eastern Northern Southern Western Total Credit Deposits No. of branches Credit Deposits No. of branches Credit Deposits No. of branches Credit Deposits No. of branches Credit Deposits No. of branches Credit Deposits No. of branches Credit Deposits

11 Function Eigenvalue % of Variance Cumulative % Canonical Correlation a a a a. First 3 canonical discriminant functions were used in the analysis. Table gives a canonical correlation of.371,.281 and.163 suggests the model explains 58.6%, 31.4% and 10.0% of the variation in the grouping variable. Table Wilks' Lambda for Region on Financial Inclusion Test of Function(s) Wilks' Lambda Chi-square df Sig. 1 through through This table indicates the Wilks lambda significance of the discriminant function. A highly significant function (p <.000) and provides the proportion of total variability not explained, i.e. it is the converse of the squared canonical correlation. Table Standardized Canonical Discriminant Function Coefficients for Region on Financial Inclusion Function No. of branches Credit Deposits The Table interprets the discriminant coefficients (or weights). These three variables with large coefficients stand out as those that strongly predict allocation to the Central Region, Eastern Region, North Eastern, Northern, Southern and Western. 88

12 Table Structure Matrix for Region on Financial Inclusion Function No. of branches.959 * Deposits * Credit * Pooled within-groups correlations between discriminating variables and standardized canonical discriminant functions Variables ordered by absolute size of correlation within function. *. Largest absolute correlation between each variable and any discriminant function Table provides another way of indicating the relative importance of the predictors. The structure matrix table shows the corelations of each variable with each discriminate function. These Pearson coefficients are structure coefficients or discriminant loadings. Table Canonical Discriminant Function Coefficients for Region on Financial Inclusion Function No. of branches Credit Deposits (Constant) Unstandardized coefficients The table explains canonical discriminant function coefficient. These unstandardized coefficients are used to create the discriminant function (equation). It operates just like a regression equation. The discriminant function coefficients b or standardized form beta both indicate the partial contribution of each variable to the discriminate function controlling for all other variables in the equation. The difference 89

13 in squared canonical correlation indicates the explanatory effect of the set of dummy variables. Table Functions at Group Centroids for Region on Financial Inclusion Region Function Central Region Eastern Region North Eastern Northern Southern Western Unstandardized canonical discriminant functions evaluated at group means Group centroids table shows the further way of interpreting discriminant analysis results is to describe each group in terms of its profile, using the group means of the predictor variables. These group means are called centroids. Table Classification Statistics - Prior Probabilities for Groups for Region on Financial Inclusion Region Prior Cases Used in Analysis Unweighted Weighted Central Region Eastern Region North Eastern Northern Southern Western Total Table provides Prior Probabilities for Groups. The table shows the unweighted weighted cases used in the analysis. 90

14 Table Classification Results for Region on Financial Inclusion Predicted Group Membership Region Central Region Eastern Region North Eastern Northern Southern Western Total Central Region (23.0) (11.8) (37.6) (16.0) Eastern Region (20.6) (21.0) (30.8) (11.2) North Eastern (1.0) (2.0) (91.0) (3.4) Northern (19.3) (9.6) (48.6) (8.6) Southern (10.7) (.0) (39.0) (2.7) Western (17.6) (5.2) (55.0) (2.8) 55 (11.0) 66 (13.2) 18 (2.6) 87 (12.4) 260 (43.3) 82 (16.4) 3 (.6) 16 (3.2) 0 (.0) 11 (1.6) 26 (4.3) 15 (3.0) 500 (100) 500 (100) 700 (100) 700 (100) 600 (100) 500 (100) The classification results (Table 3.3.8) reveal that 37.6%, 30.8%, 91%, 48.6%, 39% and 55% of respondents were classified correctly into Central Region, Eastern Region, North Eastern, Northern, Southern and Western. This overall predictive accuracy of the discriminant function is called the hit ratio. 91

15 3.4 BANKING PROGRESS AND BANKING PRODUCTS ON FINANCIAL INCLUSION IN INDIA Table Banking Progress and Financial Inclusion in India Sl.No Particulars Mar 10 Mar 11 Mar 12 June Total No. of Branches Percentage Increase No. of Rural Branches Percentage Increase Banking outlets in Villages with population > Percentage Increase Banking outlets in Villages with population < Percentage Increase Banking Outlets through Brick & Mortar Branches Percentage Increase Banking Outlets through BCs Percentage Increase Urban Locations covered through BCs Percentage Increase Banking Outlets through Other Modes Percentage Increase Source: The table interprets that that the number of branches, number of rural branches, villages covered on the basis of population size above and below 2000, brick and mortar branches, BCs, ULBCs and other modes have been raised since The maximum number BCs and other modes rose to % and % under Financial Inclusion Initiatives year ended March 2012 in India. 92

16 Table Progress of Banking Products and Financial Inclusion in India Sl. No Particulars Mar 10 Mar 11 Mar 12 June 12 No Frill A/Cs (No. In millions) Percentage Increase Amount in No Frill A/Cs (Amt In billions) Percentage Increase No Frill A/Cs with OD (No. in millions) Percentage Increase No Frill A/Cs with OD (Amt In billions) Percentage Increase KCCs-Total-No. In million Percentage Increase KCCs-Total-Amt In billion Percentage Increase GCC-Total-No. in million Percentage Increase GCC-Total-Amt In billion Percentage Increase - (-0.11) ICT A/Cs-through BCs (No. in millions) Percentage Increase ICT A/Cs-Transactions (No. In millions) Percentage Increase Source: The table explains that the number / amounts of no-frills account and nofrills account with OD, number / amounts of KCC and GCC and ICT based accounts through BCs / transactions have been raised since The maximum number / amounts of no-frills account with OD were % and 980% in the year ended March It is clear that the GOI having more initiative on no-frills account to attain full financial inclusion in India. 93

17 3.5 MULTIDIMENSIONAL SCALING - PROXSCAL Table Goodness of Fit Stress and Fit Measures Normalized Raw Stress Stress-I Stress-II S-Stress a a b Dispersion Accounted For (D.A.F.) Tucker's Coefficient of Congruence PROXSCAL minimizes Normalized Raw Stress. a. Optimal scaling factor = b. Optimal scaling factor = Table Common Space Final Coordinates Dimension 1 2 No-frill a/c numbers KCC numbers No-frill a/c with OD numbers GCC numbers The below Figure 3.1, show the common space plot of the four selected products on financial inclusion. The Table PROXSCAL multi-dimensional scaling technique goodness of fit test shows the Stress I and Stress-II values to be and The configurations derived from dimension 1 and 2 for the selected financial inclusion products using multidimensional scaling technique (Table 94

18 3.5.2), distinguishes the positive and negative dimensions, thus identifying the positive dimensions leading to financial inclusion products success. 3.1 OBJECT POINTS COMMON SPACE 3.6 REGRESSION FOR VILLAGES COVERED AND OFFICES, BCs AND OTHER MODES Table Regression for Villages Covered and Offices Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate a a. Predictors: (Constant), vc total branches 95

19 ANOVA a Model Sum of Squares df Mean Square F Sig. Regression b 1 Residual Total a. Dependent Variable: villages covered gt b. Predictors: (Constant), vc total branches Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) Vc total branches a. Dependent Variable: villages covered gt The table shows that there is a significant influence of total number of branches on the number of villages covered at 5% level of significance. The beta coefficient of shows that every one unit increase in the number of branches there will be almost one unit increase in the number of villages covered. The R 2 Value of depicts that the explained variance is higher where the explanatory variable (No. of. Branches) explains the dependent variable (No. of. Villages covered) in a better manner. Table Regression for Villages Covered and BCs Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate a a. Predictors: (Constant), VCbc 96

20 1 ANOVA a Model Sum of Squares df Mean Square F Sig. Regression b Residual Total a. Dependent Variable: villages covered gt b. Predictors: (Constant), VC bc Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) VC bc a. Dependent Variable: villages covered gt The table gives that there is a significant influence of total number of BCs on the number of villages covered at 5% level of significance. The beta coefficient of shows that every one unit increase in the number of bbcs there will be almost one unit increase in the number of villages covered. The R 2 Value of depicts that the explained variance is higher where the explanatory variable (No. of. BCs) explains the dependent variable (No. of. Villages covered) in a better manner. Table Regression for Villages Covered and Other Modes Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate a a. Predictors: (Constant), VCothers 97

21 ANOVA a Model Sum of Squares df Mean Square F Sig. Regression b 1 Residual Total a. Dependent Variable: villagescoveredgt b. Predictors: (Constant), VCothers Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) VCothers a. Dependent Variable: villagescoveredgt The table interprets that there is a significant influence of total number of other modes on the number of villages covered at 5% level of significance. The beta coefficient of shows that every one unit increase in the number of other modes there will be almost one unit increase in the number of villages covered. The R 2 Value of depicts that the explained variance is higher where the explanatory variable (Other modes) explains the dependent variable (No. of. Villages covered) in a better manner. 3.7 PANEL DATA REGRESSION MODEL FOR PENETRATION OF OFFICES AND EMPLOYEES, BUSINESS PER EMPLOYEE, INTEREST INCOME AND OTHER INCOME Table Random-Effects for Number of Offices & Employees Mean dependent var S.D. dependent var Coefficient Std. Error t-ratio p-value const e No. of offices < No of employee Hausman test - Asymptotic test statistic: Chi-square (2) = with p-value = 0 98

22 Fixed-Effects Mean dependent var S.D. dependent var R-squared P-value(F) 6.04e-34 Coefficient Std. Error t-ratio p-value const e e < No. of offices < No of employees Table gives the results of Random effect from which it can be seen Number of offices and Number of employees has an effect on the advances with the t stat significant at less than 1%. Hausman test results show that there is no fixed effect in the data as the chi square value is insignificance even at 10 %. Therefore the right model for the data is Random effect model which is given in table. From the Random effect model it can be seen that the Regression equation is significant at <1 % rejecting the null hypothesis that the beta is equal to zero. The explained variance of 99 % showing the amount of variation the independent variable is able to explain on the dependent variable, even though it is multiple effects. Table Random-Effects for Number of Offices & Business Per Employee Mean dependent var S.D. dependent var Coefficient Std. Error t-ratio p-value const e e No of offices < Business per employee Hausman test - Asymptotic test statistic: Chi-square (2) = with p-value = e

23 Fixed-Effects Mean dependent var S.D. dependent var R-squared P-value(F) 1.62e-31 Coefficient Std. Error t-ratio p-value const e e < No of offices < Business per employee Table shows the results of Random effect from which it can be seen Number of offices and Business per employees has an effect on the deposits with the t stat significant at less than 1%. Hausman test results show that there is no fixed effect in the data as the chi square value is insignificance even at 10 %. Therefore the right model for the data is Random effect model which is given in table. From the Random effect model it can be seen that the Regression equation is significant at <1 % rejecting the null hypothesis that the beta is equal to zero. The explained variance of 99 % showing the amount of variation the independent variable is able to explain on the dependent variable, even though it is multiple effects. TABLE Random-Effects for Interest Income & Other Income Mean dependent var S.D. dependent var Coefficient Std. Error t-ratio p-value const Interest income < Other income Hausman test - Asymptotic test statistic: Chi-square (2) = with p-value = e-008 Fixed-Effects Mean dependent var S.D. dependent var R-squared P-value(F) 1.39e-24 Coefficient Std. Error t-ratio p-value const Interest income < Other income

24 Table explains the results of Random effect from which it can be seen Interest income and other income has an effect on the Capital and Reserve & Surplus with the t stat significant at less than 1%. Hausman test results show that there is no fixed effect in the data as the chi square value is insignificance even at 10 %. Therefore the right model for the data is Random effect model which is given in table. From the Random effect model it can be seen that the Regression equation is significant at <1 % rejecting the null hypothesis that the beta is equal to zero. The explained variance of 99 % showing the amount of variation the independent variable is able to explain on the dependent variable, even though it is multiple effects. 3.8 PUBLIC SECTOR BANKS (PSBs) AND OTHER SCHEDULED COMMERCIAL BANKS (OSCBs) IN RURAL AND SEMI-URBAN AREAS IN NAGAPATTINAM DISTRICT H 0,1 : There is no significant difference between number of PSBs branches in Rural and Semi- Urban regions. H 0,2 : There is no significant difference between amount of credit sanctioned by PSBs in Rural and Semi-Urban regions. H 0,3 : There is no significant difference in the amount of Deposits made in PSBs in Rural and Semi-Urban regions. H 0,4 : There is no significant difference between number of OSCBs branches in Rural and Semi-Urban regions. H 0,5 : There is no significant difference between amount of credit sanctioned by OSCBs in Rural and Semi-Urban regions. H 0,6 : There is no significant difference between amount of Deposits made in OSCBs in Rural and Semi-Urban regions. 101

25 PSB Offices PSB Credit PSB Deposit OSCB Offices OSCB Credit OSCB Deposit Table 3.8 Independent Samples Test for PSB & OSCB Branches, Credit, Deposit and Rural & Semi urban areas in Nagapattinam District Area of Operation N Mean Std. Deviation Std. Error Mean Rural Semi- Urban Rural Semi- Urban Rural Semi- Urban Rural Semi- Urban Rural Semi- Urban Rural Semi- Urban t Sig. (2- tailed) From the above table 3.8, shows that the mean value of PSBs offices, credit (`. in Crore), deposits (`. in Crore) in rural and semi-urban areas were , ` , ` and , ` , ` respectively. The mean value of OSCBs offices, credit and deposits in rural and semi-urban areas were , ` , ` and , ` , ` respectively. The t-test results shows that there is a significant difference in PSBs offices, deposits in rural and semi-urban areas and OSCBs offices, credit and deposits in rural and semiurban areas at 1 % level. It also shows that there is no significant difference in PSBs credits rural and Semi-urban areas in the Nagapattinam district, Tamil Nadu. Hence H 0,1, H 0,3, H 0,4, H 0,5, H 0,6, were rejected and H 0,2 is not rejected. 102

26 3.9 PUBLIC SECTOR BANKS AND OTHER SCHEDULED COMMERCIAL BANKS BRANCHES, CREDIT AND DEPOSIT IN NAGAPATTINAM DISTRICT H 0,7 : There is no significant difference between number of branches in rural and semi urban area of PSBs and OSCBs. H 0,8 : There is no significant difference between Credit sanctioned in rural and semi urban area by PSBs and OSCBs. H 0,9 : There is no significant difference between Deposits made in rural and semi urban area by PSBs and OSCBs. TABLE 3.9 One Way ANOVA for Branches, Credit and Deposit in Nagapattinam District between PSB and OSCB Sum of Squares df Mean Square Between Groups Offices Within Groups Total Between Groups Credit Within Groups Total Between Groups Deposit Within Groups Total Source: Computed by Researcher F Sig The above table 3.9 interprets that there is a significant difference in branches, credit sanctioned and the deposits made for both the rural and the semi-urban areas by the PSBs and OSCBs at 1% level of significance. It means the PSBs and OSCBs locating their branches, accepting deposits and credit sanctioned in rural and semiurban branches, were having significant differences in the Nagapattinam district, Tamil Nadu. Hence H 0,7, H 0,8 and H 0,9 were rejected at 1% level. 103

27 3.10 RURAL & SEMI-URBAN AREAS AND PUBLIC SECTOR BANKS & OTHER SCHEDULED CBs IN NAGAPATTINAM DISTRICT H 0,10 : There is no significant difference between Rural and Semi - Urban areas and number of PSB branches. H 0,11 : There is no significant difference between Rural and Semi - Urban areas and amount of credit sanctioned by PSBs. H 0,12 : There is no significant difference between Rural and Semi - Urban areas and the amount of Deposits made in PSBs. H 0,13 : There is no significant difference between Rural and Semi - Urban areas and number of OSCB branches. H 0,14 : There is no significant difference between Rural and Semi - Urban areas and amount of credit sanctioned by OSCBs. H 0,15 : There is no significant difference between Rural and Semi - Urban areas and the amount of Deposits made in OSCBs. Table 3.10 Independent Samples Test for Rural & Semi urban Branches, Credit, Deposit and PSB & OSCB in Nagapattinam District (`. in Crore) Bank Type N Mean Std. Deviation Std. Error Mean t Sig. (2- tailed) Rural PSB Offices OSCB Rural PSB Credit OSCB Rural PSB Deposit OSCB Semi- PSB Urban OSCB Offices Semi- PSB Urban OSCB Credit Semi- PSB Urban OSCB Deposit 104

28 The above table 3.10, shows that the mean value of PSBs rural and semiurban offices, credit (`. in Crore) and deposits (`. in Crore) were , ` , ` and ` , ` respectively. The mean value of OSCBs rural and semi-urban offices, credit and deposits were , ` , ` and , ` , ` respectively. The t-test results show that there is a significant difference in rural and semi-urban offices, credit, deposits and PSBs & OSCBs at 1 % level in the Nagapattinam district, Tamil Nadu. Hence H 0,1, H 0,11, H 0,12 H 0,13, H 0,14, H 0,15 were rejected PUBLIC SECTOR BANKS AND OTHER SCBs BRANCHES, CREDIT AND DEPOSIT IN RURAL & SEMI-URBAN AREAS IN NAGAPATTINAM DISTRICT Table 3.13 Chi-Square Test Pearson chi-square Value df 105 Asymp. Sig. (2-sided) PSB Offices and Rural Offices PSB Offices and Rural Credit PSB Offices and Rural Deposit PSB Offices and Semi Urban Offices PSB Deposit and Rural Deposit OSCB Offices and Rural Offices OSCB Offices and Rural Deposit OSCB Offices and Semi-urban Offices OSCB Credit and Semi-urban Offices OSCB Deposit and Semi-urban Offices From the above table 3.11 it is clear that the total number of PSBs offices and the PSBs offices in rural and semi-urban, deposits in rural areas were significantly associated at 1% level, and PSBs offices and credits, PSBs deposits and deposits in rural areas were significantly associated at 5% level. And the total number of OSCBs

29 offices and the OSCBs offices in rural and semi-urban areas were significantly associated at 1% level. The total number of OSCBs offices and the deposits and credits to/from OSCBs in rural were significantly associated at 5% level. The total amount of OSCBs deposit and the OSCBs offices in semi-urban were significantly associated at 10% level. These reveals that there is a significant proportion of PSBs offices with rural offices, credit, deposits and semi-urban offices and PSBs deposits with rural deposits, OSCBs offices with rural offices, deposits, semi-urban offices, OSCBs credit with semi-urban offices, OSCBs deposits with semi-urban offices PSBs OFFICES, DEPOSIT & CREDIT IN RURAL AND URBAN CENTRES IN NAGAPATTINAM DISTRICT The below charts 3.1, shows that the number of branches, total amount of credits and deposits in rural and semi-urban areas of public sector banks since Q3 in Nagapattinam district. The numbers of PSBs branches are increasing trend in semi-urban areas than the rural areas. The amount of Deposits attracted and credit sanctioned are more in the semi-urban branches. Recently all PSBs are taking more consideration on extending number of branches, offering credits and attracting deposits in the semi-urban areas giving a tough competition to the OSCBs. Even though there is a steady increase in the rural branches of PSBs in rendering services to the semi-urban at a steady rate. In other words, it has become very much necessary to concentrate equally in the rural and semi-urban regions to avoid exclusion of banking services. 106

30 CHART 3.1 PSBs Offices, Deposit & Credit in Rural Areas CHART 3.1 PSBs Offices, Deposit & Credit in Urban Areas Source: Compiled by Researcher 107

31 3.13 OSCBs OFFICES, DEPOSIT & CREDIT IN RURAL AND URBAN CENTRES IN NAGAPATTINAM DISTRICT The below charts 3.2, shows that the number of branches, total amount of credits and deposits in rural and semi-urban areas of other scheduled commercial banks since Q3 in Nagapattinam district. The numbers of OSCBs branches are increasing trend in semi-urban areas than the rural areas. The amount of Deposits attracted and credit sanctioned are more in the semi-urban branches. Recently all OSCBs are taking more consideration on extending number of branches, offering credits and attracting deposits in the semi-urban areas giving a tough competition to the PSBs. CHART 3.2 OSCBs Offices, Deposit & Credit in Rural Areas 108

32 CHART 3.2 OSCBs Offices, Deposit & Credit in Urban Areas Source: Compiled by Researcher 3.14 PSBs AND OSCBs OFFICES, DEPOSIT & CREDIT IN RURAL AND URBAN CENTRES IN NAGAPATTINAM DISTRICT In the below charts 3.3, shows that the number of branches, total amount of credits and deposits in rural and semi-urban areas of public sector banks and other scheduled commercial banks since Q3 in Nagapattinam district. The numbers of PSBs branches are higher in rural areas lesser in the semi-urban areas compare to OSCBs. The amount of deposits attracted and credit sanctioned by the OSCBs are higher than the PSBs in rural and semi-urban areas. 109

33 CHART 3.3 PSBs and OSCBs Offices, Deposit & Credit in Rural Areas Source: Compiled by Researcher 110

34 CHART 3.3 PSBs and OSCBs Offices, Deposit & Credit in Urban Areas Source: Compiled by Researcher 111

35 3.15 CONCLUSION The financial inclusion initiatives taken by the commercial banks in India over a period of time shows a significant improvement. The overall analysis made the credit penetration, deposit penetration and branch penetration by the PSBs and OSCBs in rural and semi-urban areas in Nagapattinam district and India. Since Q3 the number of branches, total amount of credits and deposits in rural and semi-urban areas of PSBs and OSCBs in Nagapattinam district. The numbers of PSBs branches are higher in rural areas and lesser in the semi-urban areas compare to OSCBs. The amount of deposits attracted and credit sanctioned by the OSCBs are higher than the PSBs in rural and semi-urban areas. Thus commercial banks played a major role in the improvement of financial status of economy through financial inclusion covering Central Region, Eastern Region, North Eastern, and Northern, Southern and Western including rural, semi-urban, urban and metropolitan population in our country. Small loans can transform lives, especially the lives of women and children. The poor can become empowered instead of disenfranchised. Homes can be built, jobs can be created, businesses can be launched, and individuals can feel a sense of worth again. - Natalie Portman, Actress Spokesperson for the International Year of Microcredit 2005 FINCA International Ambassador of Hope. 112

Influence of Personal Factors on Health Insurance Purchase Decision

Influence of Personal Factors on Health Insurance Purchase Decision Influence of Personal Factors on Health Insurance Purchase Decision INFLUENCE OF PERSONAL FACTORS ON HEALTH INSURANCE PURCHASE DECISION The decision in health insurance purchase include decisions about

More information

GGraph. Males Only. Premium. Experience. GGraph. Gender. 1 0: R 2 Linear = : R 2 Linear = Page 1

GGraph. Males Only. Premium. Experience. GGraph. Gender. 1 0: R 2 Linear = : R 2 Linear = Page 1 GGraph 9 Gender : R Linear =.43 : R Linear =.769 8 7 6 5 4 3 5 5 Males Only GGraph Page R Linear =.43 R Loess 9 8 7 6 5 4 5 5 Explore Case Processing Summary Cases Valid Missing Total N Percent N Percent

More information

IMPACT OF GROWTH OF PRIORITY SECTOR IN INDIA

IMPACT OF GROWTH OF PRIORITY SECTOR IN INDIA IMPACT OF GROWTH OF PRIORITY SECTOR IN INDIA S.Felix Sophia, Ph.D. Research Scholar, Department of Commerce and Financial Studies, Bharathidasan University, Tiruchirappalli-24 INTRODUCTION Priority Sector

More information

Financial Risk Tolerance and the influence of Socio-demographic Characteristics of Retail Investors

Financial Risk Tolerance and the influence of Socio-demographic Characteristics of Retail Investors Financial Risk Tolerance and the influence of Socio-demographic Characteristics of Retail Investors * Ms. R. Suyam Praba Abstract Risk is inevitable in human life. Every investor takes considerable amount

More information

Impact of Macroeconomic Determinants on Profitability of Indian Commercial Banks

Impact of Macroeconomic Determinants on Profitability of Indian Commercial Banks Abstract Research Journal of Management Sciences E-ISSN 2319 1171 Impact of Macroeconomic Determinants on Profitability of Indian Commercial Banks Ketan Mulchandani 1* and N.K. Totala 2 1 Institute of

More information

SOCIAL BANKING PERFORMANCE

SOCIAL BANKING PERFORMANCE SOCIAL BANKING PERFORMANCE Contents 7.1 Analysis Based on Average Ratios 7.2 Bank-wi wise Analysis 7.3 Bank Group-wise Analysis 7.4 Bank Sector-wi wise Analysis 7 As a result of the reforms made in the

More information

NON-PERFORMING ASSETS IS A THREAT TO INDIA BANKING SECTOR - A COMPARATIVE STUDY BETWEEN PRIORITY AND NON-PRIORITY SECTOR

NON-PERFORMING ASSETS IS A THREAT TO INDIA BANKING SECTOR - A COMPARATIVE STUDY BETWEEN PRIORITY AND NON-PRIORITY SECTOR NON-PERFORMING ASSETS IS A THREAT TO INDIA BANKING SECTOR - A COMPARATIVE STUDY BETWEEN PRIORITY AND NON-PRIORITY SECTOR Dr. G Nagarajan* N. Sathyanarayana** A. Asif Ali** LENDING IN PUBLIC SECTOR BANKS

More information

SERVICES OFFERED BY PUBLIC AND PRIVATE SECTOR BANKS - CUSTOMERS AWARENESS IN TIRUPUR DISTRICT

SERVICES OFFERED BY PUBLIC AND PRIVATE SECTOR BANKS - CUSTOMERS AWARENESS IN TIRUPUR DISTRICT SERVICES OFFERED BY PUBLIC AND PRIVATE SECTOR BANKS - CUSTOMERS AWARENESS IN TIRUPUR DISTRICT V.Dhavamani, Research Scholar, PG and Research Department of commerce, Government Arts College, Udumalpet.

More information

LOANS AND ADVANCES OF TNSC BANK

LOANS AND ADVANCES OF TNSC BANK CHAPTER V LOANS AND ADVANCES OF TNSC BANK 5.1 INTRODUCTION 5.2 LOANS AND ADVANCES 5.3 LENDING RATES 5.4 GOVERNMENT OF INDIA INTEREST SUBVENTION 5.5 GOVERNMENT OF TAMIL NADU INTEREST SUBSIDY 5.6 NUMBER

More information

Impact of Corporate Social Responsibility on Financial Performance of Indian Commercial Banks An Analysis

Impact of Corporate Social Responsibility on Financial Performance of Indian Commercial Banks An Analysis Impact of Corporate Social Responsibility on Financial Performance of Indian Commercial Banks An Analysis Rajnish Yadav 1 & Dr. F. B. Singh 2 1 Research Scholar (JRF), Faculty of Commerce, Banaras Hindu

More information

RELATIONSHIP BETWEEN RETIREMENT WEALTH AND HOUSEHOLDERS PERSONAL FINANCIAL AND INVESTMENT BEHAVIOR

RELATIONSHIP BETWEEN RETIREMENT WEALTH AND HOUSEHOLDERS PERSONAL FINANCIAL AND INVESTMENT BEHAVIOR Man In India, 96 (5) : 1521-1529 Serials Publications RELATIONSHIP BETWEEN RETIREMENT WEALTH AND HOUSEHOLDERS PERSONAL FINANCIAL AND INVESTMENT BEHAVIOR V. N. Sailaja * and N. Bindu Madhavi * This cross

More information

The study on the financial leverage effect of GD Power Corp. based on. financing structure

The study on the financial leverage effect of GD Power Corp. based on. financing structure 5th International Conference on Education, Management, Information and Medicine (EMIM 2015) The study on the financial leverage effect of GD Power Corp. based on financing structure Xin Ling Du 1, a and

More information

AWARENESS OF FINANCIAL INCLUSION ON TRIBAL PEOPLE IN DHARMAPURI DISTRICT

AWARENESS OF FINANCIAL INCLUSION ON TRIBAL PEOPLE IN DHARMAPURI DISTRICT AWARENESS OF FINANCIAL INCLUSION ON TRIBAL PEOPLE IN DHARMAPURI DISTRICT Mr. C. ANNAMALAI Ph.D Research Scholar, Department of Commerce, Annamalai University, Annamalainagar, Chidambaram, Tamil Nadu. Dr.

More information

PREDICTION OF BANKRUPTACY OF NON-LIFE INSURANCE COMPANIES IN INDIA- A STUDY

PREDICTION OF BANKRUPTACY OF NON-LIFE INSURANCE COMPANIES IN INDIA- A STUDY I J A B E R, Vol. 13, No. 3, (2015): 1431-1444 PREDICTION OF BANKRUPTACY OF NON-LIFE INSURANCE COMPANIES IN INDIA- A STUDY S. Hari Babu * Abstract: The previous performance evaluation studies towards non-life

More information

Financial Inclusion: Issues and Prospects

Financial Inclusion: Issues and Prospects Pacific Business Review International 84 Pacific Volume Business 5 Issue Review 3 (September International 2012) Financial Inclusion: Issues and Prospects PROF. N.S RAO*, MRS. HARSHITA BHATNAGAR** Strong

More information

Determinants of Capital structure with special reference to indian pharmaceutical sector: panel Data analysis

Determinants of Capital structure with special reference to indian pharmaceutical sector: panel Data analysis Article can be accessed online at http://www.publishingindia.com Determinants of Capital structure with special reference to indian pharmaceutical sector: panel Data analysis Abstract m.s. ramaratnam*,

More information

Determiants of Credi Gap and Financial Inclusion among the Borrowers of Tribal Farmers. * Sudha. S ** Dr. S. Gandhimathi

Determiants of Credi Gap and Financial Inclusion among the Borrowers of Tribal Farmers. * Sudha. S ** Dr. S. Gandhimathi Determiants of Credi Gap and Financial Inclusion among the Borrowers of Tribal Farmers * Sudha. S ** Dr. S. Gandhimathi * Research Scholar, Department of Economics, Avinashilingam Institute for Home Science

More information

ANALYSIS OFFINANCIAL STATEMENTS WITH SPECIAL REFERENCE TO BMTC, BANGALORE

ANALYSIS OFFINANCIAL STATEMENTS WITH SPECIAL REFERENCE TO BMTC, BANGALORE ANALYSIS OFFINANCIAL STATEMENTS WITH SPECIAL REFERENCE TO BMTC, Sridhara G* N. Sathyanarayana** BANGALORE Abstract: Transportation industry contributes a major role in the development of a company. Transportation

More information

ROLE OF BANKS CREDIT IN ECONOMIC GROWTH: A STUDY WITH SPECIAL REFERENCE TO NORTH EAST INDIA 1

ROLE OF BANKS CREDIT IN ECONOMIC GROWTH: A STUDY WITH SPECIAL REFERENCE TO NORTH EAST INDIA 1 ROLE OF BANKS CREDIT IN ECONOMIC GROWTH: A STUDY WITH SPECIAL REFERENCE TO NORTH EAST INDIA 1 Raveesh Krishnankutty Management Research Scholar, ICFAI University Tripura, India Email: raveeshbabu@gmail.com

More information

CAPITAL STRUCTURE AND CORPORATE PERFORMANCE OF MANUFACTURING COMPANIES LISTED IN NAIROBI SECURITIES EXCHANGE

CAPITAL STRUCTURE AND CORPORATE PERFORMANCE OF MANUFACTURING COMPANIES LISTED IN NAIROBI SECURITIES EXCHANGE CAPITAL STRUCTURE AND CORPORATE PERFORMANCE OF MANUFACTURING COMPANIES LISTED IN NAIROBI SECURITIES EXCHANGE Wilmot Okello Adera Department of Commerce and Economic Studies, Jomo Kenyatta University of

More information

INFLUENCE OF CAPITAL BUDGETING TECHNIQUESON THE FINANCIAL PERFORMANCE OF COMPANIES LISTED AT THE RWANDA STOCK EXCHANGE

INFLUENCE OF CAPITAL BUDGETING TECHNIQUESON THE FINANCIAL PERFORMANCE OF COMPANIES LISTED AT THE RWANDA STOCK EXCHANGE INFLUENCE OF CAPITAL BUDGETING TECHNIQUESON THE FINANCIAL PERFORMANCE OF COMPANIES LISTED AT THE RWANDA STOCK EXCHANGE Liliane Gasana Jomo Kenyatta University of Agriculture and Technology, Rwanda Dr.

More information

Anshika 1. Abstract. 1. Introduction

Anshika 1. Abstract. 1. Introduction Micro-economic factors affecting stock returns: an empirical study of S&P BSE Bankex companies Abstract Anshika 1 1 Research Scholar, PEC University of Technology, Sector 12, Chandigarh, 160012, India

More information

CHAPTER 6 DATA ANALYSIS AND INTERPRETATION

CHAPTER 6 DATA ANALYSIS AND INTERPRETATION 208 CHAPTER 6 DATA ANALYSIS AND INTERPRETATION Sr. No. Content Page No. 6.1 Introduction 212 6.2 Reliability and Normality of Data 212 6.3 Descriptive Analysis 213 6.4 Cross Tabulation 218 6.5 Chi Square

More information

FINANCIAL SUPPORTING FACTORS FOR WOMEN ENTREPRENEURS' SUCCESS IN SMALL & MEDIUM ENTERPRISES

FINANCIAL SUPPORTING FACTORS FOR WOMEN ENTREPRENEURS' SUCCESS IN SMALL & MEDIUM ENTERPRISES Inspira- Journal of Modern Management & Entrepreneurship (JMME) 73 ISSN : 2231 167X, General Impact Factor : 2.5442, Volume 08, No. 02, April, 2018, pp. 73-77 FINANCIAL SUPPORTING FACTORS FOR WOMEN ENTREPRENEURS'

More information

Demonstrate Approval of Loans by a Bank

Demonstrate Approval of Loans by a Bank 1 Running head: The Data Consists of 100 Cases of Hypothetical Data to Demonstrate Approval of Loans by a Bank Name Course Subject 2 Introduction There has been witnessed an alarming trend in the number

More information

E- ISSN X ISSN MICRO FINANCE-AN IMPERATIVE FOR FINANCIAL INCLUSION IN INDIA

E- ISSN X ISSN MICRO FINANCE-AN IMPERATIVE FOR FINANCIAL INCLUSION IN INDIA MICRO FINANCE-AN IMPERATIVE FOR FINANCIAL INCLUSION IN INDIA Dr.K.Jayalakshmi PDF(ICSSR),Dept. of Commerce,S.K.University, Anantapur. Andhra Pradesh. Abstract Financial inclusion is a flagship programme

More information

CHAPTER \11 SUMMARY OF FINDINGS, CONCLUSION AND SUGGESTION. decades. Income distribution, as reflected in the distribution of household

CHAPTER \11 SUMMARY OF FINDINGS, CONCLUSION AND SUGGESTION. decades. Income distribution, as reflected in the distribution of household CHAPTER \11 SUMMARY OF FINDINGS, CONCLUSION AND SUGGESTION Income distribution in India shows remarkable stability over four and a half decades. Income distribution, as reflected in the distribution of

More information

Chapter - VI Profitability Analysis of Indian General Insurance Industry

Chapter - VI Profitability Analysis of Indian General Insurance Industry Chapter - VI Profitability Analysis of Indian General Insurance Industry As a result of the various reforms introduced by the Government of India in the insurance sector, private companies have made their

More information

BANKERS FAMILIARITY AND PREFERENCE TOWARDS FINANCIAL INCLUSION IN SIVAGANGA DISTRICT

BANKERS FAMILIARITY AND PREFERENCE TOWARDS FINANCIAL INCLUSION IN SIVAGANGA DISTRICT BANKERS FAMILIARITY AND PREFERENCE TOWARDS FINANCIAL INCLUSION IN SIVAGANGA DISTRICT K. Subha, Research Scholar, Alagappa Institute of Management, Alagappa University, Karaikudi Dr. S. Rajamohan, Professor,

More information

2SLS HATCO SPSS, STATA and SHAZAM. Example by Eddie Oczkowski. August 2001

2SLS HATCO SPSS, STATA and SHAZAM. Example by Eddie Oczkowski. August 2001 2SLS HATCO SPSS, STATA and SHAZAM Example by Eddie Oczkowski August 2001 This example illustrates how to use SPSS to estimate and evaluate a 2SLS latent variable model. The bulk of the example relates

More information

Financial Inclusion and India-Challenges, Opportunities

Financial Inclusion and India-Challenges, Opportunities Financial Inclusion and India-Challenges, Opportunities New Horizon College, 3 RD A Cross, 2 nd A main, Kasturinagar, Bangalore-560003. Abstract In recent times Financial Inclusion and Inclusive Growth

More information

101: MICRO ECONOMIC ANALYSIS

101: MICRO ECONOMIC ANALYSIS 101: MICRO ECONOMIC ANALYSIS Unit I: Consumer Behaviour: Theory of consumer Behaviour, Theory of Demand, Recent Development of Demand Theory, Producer Behaviour: Theory of Production, Theory of Cost, Production

More information

Interrelationship between Profitability, Financial Leverage and Capital Structure of Textile Industry in India Dr. Ruchi Malhotra

Interrelationship between Profitability, Financial Leverage and Capital Structure of Textile Industry in India Dr. Ruchi Malhotra Interrelationship between Profitability, Financial Leverage and Capital Structure of Textile Industry in India Dr. Ruchi Malhotra Assistant Professor, Department of Commerce, Sri Guru Granth Sahib World

More information

Role Of Private Sector Banks In Financial Inclusion: A Case Study On West-Bengal

Role Of Private Sector Banks In Financial Inclusion: A Case Study On West-Bengal ISSN (Online): 232-9364, ISSN (Print): 232-9356 Volume 2 Issue 3 ǁ. 2 ǁ PP.38-45 Role Of Private Sector Banks In Inclusion: A Case Study On West-Bengal *Mr. SOURAV DUTTA MUSTAFI, **Mr. JOYDEEP CHAKRABORTY

More information

DECISION FUNCTION FOR MUTUAL FUND INVESTMENTS FOR RETAIL AND INSTITUTIONAL INVESTORS IN INDIA

DECISION FUNCTION FOR MUTUAL FUND INVESTMENTS FOR RETAIL AND INSTITUTIONAL INVESTORS IN INDIA DECISION FUNCTION FOR MUTUAL FUND INVESTMENTS FOR RETAIL AND INSTITUTIONAL INVESTORS IN INDIA Sharma Preeti Professor & Head, School of Business Management, University of Engineering & Management, Jaipur,

More information

A STUDY ON FINANCIAL INCLUSION PLANS OF SCHEDULED COMMERCIAL BANKS IN INDIA

A STUDY ON FINANCIAL INCLUSION PLANS OF SCHEDULED COMMERCIAL BANKS IN INDIA A STUDY ON FINANCIAL INCLUSION PLANS OF SCHEDULED COMMERCIAL BANKS IN INDIA Dr. M. Anbalagan, M.Com, M. Phil, B.Ed. Ph.D. Assistant Professor in Commerce Kalasalingam University, Krishnankoil & Prof. M.

More information

IJPSS Volume 2, Issue 9 ISSN:

IJPSS Volume 2, Issue 9 ISSN: REGIONAL DISPARITY IN THE DISTRIBUTION OF AGRICULTURAL CREDIT DR.S.GANDHIMATHI* DR.P.AMBIGADEVI** V.SHOBANA*** _ ABSTRACT The Eleventh Five year plan makes specific focus on the inclusive growth of the

More information

Copyrighted 2007 FINANCIAL VARIABLES EFFECT ON THE U.S. GROSS PRIVATE DOMESTIC INVESTMENT (GPDI)

Copyrighted 2007 FINANCIAL VARIABLES EFFECT ON THE U.S. GROSS PRIVATE DOMESTIC INVESTMENT (GPDI) FINANCIAL VARIABLES EFFECT ON THE U.S. GROSS PRIVATE DOMESTIC INVESTMENT (GPDI) 1959-21 Byron E. Bell Department of Mathematics, Olive-Harvey College Chicago, Illinois, 6628, USA Abstract I studied what

More information

Analysis of Priority and Non-Priority Sector NPAs of Indian Public Sectors Banks

Analysis of Priority and Non-Priority Sector NPAs of Indian Public Sectors Banks IOSR Journal of Business and Management (IOSR-JBM) e-issn: 2278-487X, p-issn: 2319-7668 PP 56-61 www.iosrjournals.org Analysis of Priority and Non-Priority Sector NPAs of Indian Public Sectors Banks Kandela

More information

CHAPTER-3 DETERMINANTS OF FINANCIAL INCLUSION IN INDIA

CHAPTER-3 DETERMINANTS OF FINANCIAL INCLUSION IN INDIA CHAPTER-3 DETERMINANTS OF FINANCIAL INCLUSION IN INDIA Indian economy has changed a lot over the past 60 years. Over the next 40 years the changes could be dramatic. Using the latest demographic projection

More information

Management Science Letters

Management Science Letters Management Science Letters 3 (2013) 73 80 Contents lists available at GrowingScience Management Science Letters homepage: www.growingscience.com/msl Investigating different influential factors on capital

More information

Access to Financial Services to the Rural Household Enterprises A Study of Srikakulam District, Andhra Pradesh

Access to Financial Services to the Rural Household Enterprises A Study of Srikakulam District, Andhra Pradesh Access to Financial Services to the Rural Household Enterprises A Study of Srikakulam District, Andhra Pradesh Ch. Ganga Bhavani *, Prof.P. Veni** * Research Scholar, Department of Commerce and Management

More information

FACTORS AFFECTING BANK CREDIT IN INDIA

FACTORS AFFECTING BANK CREDIT IN INDIA Chapter-6 FACTORS AFFECTING BANK CREDIT IN INDIA Banks deploy credit as per their credit or loan policy. Credit policy of a bank, basically, provides a direction to the use of funds, controls the size

More information

A. K. POKHRIYAL Assistant Professor, Faculty of Commerce, H.N.B. Garhwal Central University, Srinagar Garhwal, Uttrakhand, India

A. K. POKHRIYAL Assistant Professor, Faculty of Commerce, H.N.B. Garhwal Central University, Srinagar Garhwal, Uttrakhand, India International Journal of Economic Issues, Vol. 4, No. 1 (January-June, 2011): 103-122 International Science Press SOCIO-ECONOMIC EMPOWERMENT OF THE POOR THROUGH MICROFINANCE: AN EMPIRICAL STUDY OF NABARD

More information

PERFORMANCE EVALUATION OF PUBLIC, PRIVATE AND FOREIGN BANKS IN INDIA; AN EMPIRICAL ANALYSIS

PERFORMANCE EVALUATION OF PUBLIC, PRIVATE AND FOREIGN BANKS IN INDIA; AN EMPIRICAL ANALYSIS PERFORMANCE EVALUATION OF PUBLIC, PRIVATE AND FOREIGN BANKS IN INDIA; AN EMPIRICAL ANALYSIS Mrs. Neetika Mahajan Research scholar, Department of commerce Himachal Pradesh University, Shimla Email ; Mahajanneetika18@gmail.com

More information

Financial Results Q3/FY February 2019

Financial Results Q3/FY February 2019 Financial Results Q3/FY18-19 08 February 2019 HIGHLIGHTS - DEC 2018 Total Business Total Deposit Gross Advance Operating Profit (Q-3) Rs. 291519 Crore Rs. 177906 Crore Rs.113610 Crore Rs. 381 Crore Basel

More information

Effect of Change Management Practices on the Performance of Road Construction Projects in Rwanda A Case Study of Horizon Construction Company Limited

Effect of Change Management Practices on the Performance of Road Construction Projects in Rwanda A Case Study of Horizon Construction Company Limited International Journal of Scientific and Research Publications, Volume 6, Issue 0, October 206 54 ISSN 2250-353 Effect of Change Management Practices on the Performance of Road Construction Projects in

More information

THE INTERNATIONAL JOURNAL OF BUSINESS & MANAGEMENT

THE INTERNATIONAL JOURNAL OF BUSINESS & MANAGEMENT THE INTERNATIONAL JOURNAL OF BUSINESS & MANAGEMENT The Effect of Dividend Policy on Stock Price Volatility: A Kenyan Perspective Zipporah N. Onsomu Student, MBA (Finance), Bachelor of Commerce, CPA (K),

More information

CHAPTER 4 DATA ANALYSIS Data Hypothesis

CHAPTER 4 DATA ANALYSIS Data Hypothesis CHAPTER 4 DATA ANALYSIS 4.1. Data Hypothesis The hypothesis for each independent variable to express our expectations about the characteristic of each independent variable and the pay back performance

More information

Foreign Direct Investment to Service Sector in India

Foreign Direct Investment to Service Sector in India International Journal of Advances in Management and Economics Available online at www.managementjournal.info ISSN: 2278-3369 RESEARCH ARTICLE Foreign Direct Investment to Service Sector in India Narender

More information

THE IMPACT OF BANKING RISKS ON THE CAPITAL OF COMMERCIAL BANKS IN LIBYA

THE IMPACT OF BANKING RISKS ON THE CAPITAL OF COMMERCIAL BANKS IN LIBYA THE IMPACT OF BANKING RISKS ON THE CAPITAL OF COMMERCIAL BANKS IN LIBYA Azeddin ARAB Kastamonu University, Turkey, Institute for Social Sciences, Department of Business Abstract: The objective of this

More information

Ac. J. Acco. Eco. Res. Vol. 3, Issue 2, , 2014 ISSN:

Ac. J. Acco. Eco. Res. Vol. 3, Issue 2, , 2014 ISSN: 2014, World of Researches Publication Ac. J. Acco. Eco. Res. Vol. 3, Issue 2, 118-128, 2014 ISSN: 2333-0783 Academic Journal of Accounting and Economics Researches www.worldofresearches.com Influence of

More information

Model of the Determination of the Feasibility of Making Loans to Members at HIPPATAS Credit Cooperative Tasikmalaya

Model of the Determination of the Feasibility of Making Loans to Members at HIPPATAS Credit Cooperative Tasikmalaya Model of the Determination of the Feasibility of Making s to Members at HIPPATAS Credit Cooperative Tasikmalaya Adi Kuswanto Sacretary Staff of The Economics Doctoral Program Gunadarma University kuswanto@staff.gunadarma.ac.id

More information

Subject CS1 Actuarial Statistics 1 Core Principles. Syllabus. for the 2019 exams. 1 June 2018

Subject CS1 Actuarial Statistics 1 Core Principles. Syllabus. for the 2019 exams. 1 June 2018 ` Subject CS1 Actuarial Statistics 1 Core Principles Syllabus for the 2019 exams 1 June 2018 Copyright in this Core Reading is the property of the Institute and Faculty of Actuaries who are the sole distributors.

More information

AN ANALYSIS OF IMPACT ON BANKING SECTOR REFORMS IN THE PERFORMANCE OF DEPOSITS AND LOANS AND ADVANCES OF PANDYAN GRAMA BANK IN NADU

AN ANALYSIS OF IMPACT ON BANKING SECTOR REFORMS IN THE PERFORMANCE OF DEPOSITS AND LOANS AND ADVANCES OF PANDYAN GRAMA BANK IN NADU AN ANALYSIS OF IMPACT ON BANKING SECTOR REFORMS IN THE PERFORMANCE OF DEPOSITS AND LOANS AND ADVANCES OF PANDYAN GRAMA BANK IN TAMIL NADU V. Alwarnayaki Assistant Professor of Commerce, SRNM College, Sattur

More information

Impact of Unemployment and GDP on Inflation: Imperial study of Pakistan s Economy

Impact of Unemployment and GDP on Inflation: Imperial study of Pakistan s Economy International Journal of Current Research in Multidisciplinary (IJCRM) ISSN: 2456-0979 Vol. 2, No. 6, (July 17), pp. 01-10 Impact of Unemployment and GDP on Inflation: Imperial study of Pakistan s Economy

More information

CAPITAL STRUCTURE AND ITS IMPACT ON FINANCIAL PERFORMANCE OF INDIAN STEEL INDUSTRY

CAPITAL STRUCTURE AND ITS IMPACT ON FINANCIAL PERFORMANCE OF INDIAN STEEL INDUSTRY CAPITAL STRUCTURE AND ITS IMPACT ON FINANCIAL PERFORMANCE OF INDIAN STEEL INDUSTRY Capital Strucure and Its Impact on Financial Performance Of Indian Steel Industry, Ata Takeh, Dr. Jubiliy 1 Ata Takeh,

More information

FOREIGN INVESTMENT AND EXPORT PERFORMANCE OF INDIAN TEXTILE AND CLOTHING INDUSTRY IN POST QUOTA REGIME

FOREIGN INVESTMENT AND EXPORT PERFORMANCE OF INDIAN TEXTILE AND CLOTHING INDUSTRY IN POST QUOTA REGIME Indian Journal of Economics & Business, Vol. 15, No. 2, (2016) : 385-391 FOREIGN INVESTMENT AND EXPORT PERFORMANCE OF INDIAN TEXTILE AND CLOTHING INDUSTRY IN POST QUOTA REGIME MEETA MATHUR * AND ANITA

More information

Profitability Position of Commercial Banks in India - A Comparative Study

Profitability Position of Commercial Banks in India - A Comparative Study IJA MH International Journal on Arts, Management and Humanities 7(1): 10-16(2018) ISSN No. (Online): 2319 5231 Profitability Position of Commercial Banks in India - A Comparative Study Kavita S. Vadrale*

More information

CHAPTER - IV INVESTMENT PREFERENCE AND DECISION INTRODUCTION

CHAPTER - IV INVESTMENT PREFERENCE AND DECISION INTRODUCTION CHAPTER - IV INVESTMENT PREFERENCE AND DECISION INTRODUCTION This Chapter examines the investment pattern of the retail equity investors in general and investment preferences, risk-return perceptions and

More information

INVESTORS PERCEPTION TOWARDS MUTUAL FUND INVESTMENT A STUDY WITH SPECIAL REFERENCE TO SOCIO-ECONOMIC CONDITIONS

INVESTORS PERCEPTION TOWARDS MUTUAL FUND INVESTMENT A STUDY WITH SPECIAL REFERENCE TO SOCIO-ECONOMIC CONDITIONS 86 S. Kulothunga Pandian INVESTORS PERCEPTION TOWARDS MUTUAL FUND INVESTMENT A STUDY WITH SPECIAL REFERENCE TO SOCIO-ECONOMIC CONDITIONS S. Kulothunga Pandian* ABSTRACT Mutual fund is more profitable investment

More information

EFFECTS OF DEBT ON FIRM PERFORMANCE: A SURVEY OF COMMERCIAL BANKS LISTED ON NAIROBI SECURITIES EXCHANGE

EFFECTS OF DEBT ON FIRM PERFORMANCE: A SURVEY OF COMMERCIAL BANKS LISTED ON NAIROBI SECURITIES EXCHANGE EFFECTS OF DEBT ON FIRM PERFORMANCE: A SURVEY OF COMMERCIAL BANKS LISTED ON NAIROBI SECURITIES EXCHANGE Harwood Isabwa Kajirwa Department of Business Management, School of Business and Management sciences,

More information

Assessing The Financial Literacy Level Among Women in India: An Empirical Study

Assessing The Financial Literacy Level Among Women in India: An Empirical Study Assessing The Financial Literacy Level Among Women in India: An Empirical Study Bernadette D Silva *, Stephen D Silva ** and Roshni Subodhkumar Bhuptani *** Abstract Financial Inclusion cannot be achieved

More information

An Analysis of NPAs in Priority and Non-Priority Sectors with respect to Public Sector Banks in India

An Analysis of NPAs in Priority and Non-Priority Sectors with respect to Public Sector Banks in India An Analysis of NPAs in Priority and Non-Priority Sectors with respect to Public Sector Banks in India Akshay Kumar Mishra 1 1 (Assistant Professor, L N Mishra College of Business Management, Muzaffarpur,

More information

POSTAL LIFE INSURANCE: ITS MARKET GROWTH AND POLICYHOLDERS SATISFACTION

POSTAL LIFE INSURANCE: ITS MARKET GROWTH AND POLICYHOLDERS SATISFACTION POSTAL LIFE INSURANCE: ITS MARKET GROWTH AND POLICYHOLDERS SATISFACTION Dr. Angamuthu Balasubramaniam, Independent Researcher, Coimbatore Abstract Postal Life Insurance (PLI) is the oldest Life insurer

More information

CUSTOMER AWARENESS REGARDING BANKING SERVICES

CUSTOMER AWARENESS REGARDING BANKING SERVICES CUSTOMER AWARENESS REGARDING BANKING SERVICES The analysis of the customer survey conducted for the present study starts with this chapter. The chapter has been organised into two sections. The first section

More information

FINANCIAL INSTABILITY PREDICTION IN MANUFACTURING AND SERVICE INDUSTRY

FINANCIAL INSTABILITY PREDICTION IN MANUFACTURING AND SERVICE INDUSTRY FINANCIAL INSTABILITY PREDICTION IN MANUFACTURING AND SERVICE INDUSTRY Robert Zenzerović 1 1 Juraj Dobrila University of Pula, Department of Economics and Tourism Dr. Mijo Mirković, Croatia, robert.zenzerovic@efpu.hr

More information

Theme: Economics & Finance

Theme: Economics & Finance Theme: Economics & Finance ID040 - Empirical Determinants of Stock Market Volatility: Evidence From Malaysia Dety Nurfadilah 1, Sudarmawan Samidi 2, Suharto 3 123 Krisnadwipayana University, Jakarta Timur,

More information

NET PROFIT (Q4) INCREASED BY 110% Y-O-Y TOTAL NUMBER OF BRANCHES CROSSED 2500 PROVISION COVERAGE RATIO IMPROVED TO 58.93

NET PROFIT (Q4) INCREASED BY 110% Y-O-Y TOTAL NUMBER OF BRANCHES CROSSED 2500 PROVISION COVERAGE RATIO IMPROVED TO 58.93 1 NET PROFIT (Q4) INCREASED BY 110% Y-O-Y NIM @ 3.00% FOR FY 2014-15 TOTAL NUMBER OF BRANCHES CROSSED 2500 PROVISION COVERAGE RATIO IMPROVED TO 58.93 CASA DEPOSITS CROSSED 27% NET NPAs BELOW 3% 2 BRANCH

More information

PROFITABILITY ANALYSIS OF THE PUBLIC AND PRIVATE SECTORS IN GENERAL INSURANCE

PROFITABILITY ANALYSIS OF THE PUBLIC AND PRIVATE SECTORS IN GENERAL INSURANCE Profitability Analysis of the Public and Private Sectors in General Insurance PROFITABILITY ANALYSIS OF THE PUBLIC AND PRIVATE SECTORS IN GENERAL INSURANCE 5 Contents 5.1 Concept of Profitability 5.2 Profitability

More information

Assessing the Probability of Failure by Using Altman s Model and Exploring its Relationship with Company Size: An Evidence from Indian Steel Sector

Assessing the Probability of Failure by Using Altman s Model and Exploring its Relationship with Company Size: An Evidence from Indian Steel Sector DOI: 10.15415/jtmge.2017.82003 Assessing the Probability of Failure by Using Altman s Model and Exploring its Relationship with Company Size: An Evidence from Indian Steel Sector Abstract Corporate failure

More information

Multiple regression analysis of performance indicators in the ceramic industry

Multiple regression analysis of performance indicators in the ceramic industry Available online at www.sciencedirect.com Procedia Economics and Finance 3 ( 2012 ) 509 514 Emerging Markets Queries in Finance and Business Multiple regression analysis of performance indicators in the

More information

PROGRESS OF FINANCIAL INCLUSION THROUGH FIPs OF SCHEDULED COMMERCIAL BANKS

PROGRESS OF FINANCIAL INCLUSION THROUGH FIPs OF SCHEDULED COMMERCIAL BANKS Management PROGRESS OF FINANCIAL INCLUSION THROUGH FIPs OF SCHEDULED COMMERCIAL BANKS Mohana Krishna Irrinki *1, Kuberudu Burlakanti 2 *1 Research Scholar, JNTUK, Kakinada, Andhra Pradesh, India 2 Professor

More information

Impact of FDI on Industrial Development of India

Impact of FDI on Industrial Development of India Impact of FDI on Industrial Development of India Foreign capital and technology have been playing a vital role in India s industrial development. At the time of Independence, India inherited an industrial

More information

International Journal of Business and Administration Research Review, Vol. 3, Issue.12, Oct - Dec, Page 59

International Journal of Business and Administration Research Review, Vol. 3, Issue.12, Oct - Dec, Page 59 PERFORMANCE EVALUATION, COMPARATIVE ANALYSIS AND FACTORS INFLUENCING THE EFFICIENCY OF DISTRICT CENTRAL CO-OPERATIVE BANKS A STUDY WITH REFERENCE TO SOUTHERN STATES OF INDIA Mr.F.Franco authers * Dr.R.Karpagavalli**

More information

MAHATMA GANDHI NATIONAL RURAL EMPLOYMENT GUARANTEE ACT (MGNREGA): A TOOL FOR EMPLOYMENT GENERATION

MAHATMA GANDHI NATIONAL RURAL EMPLOYMENT GUARANTEE ACT (MGNREGA): A TOOL FOR EMPLOYMENT GENERATION DOI: 10.3126/ijssm.v3i4.15974 Research Article MAHATMA GANDHI NATIONAL RURAL EMPLOYMENT GUARANTEE ACT (MGNREGA): A TOOL FOR EMPLOYMENT GENERATION Lamaan Sami* and Anas Khan Department of Commerce, Aligarh

More information

IJEMR - May Vol.2 Issue 5 - Online - ISSN Print - ISSN

IJEMR - May Vol.2 Issue 5 - Online - ISSN Print - ISSN Role of Public Sector Banks in Microfinance - A Study of Public Sector Banks in the Southern Region of India * Dr. Sujatha Susanna Kumari. D Asst. Professor, Dept. of Commerce, School of Business Studies,

More information

Keywords Akiake Information criterion, Automobile, Bonus-Malus, Exponential family, Linear regression, Residuals, Scaled deviance. I.

Keywords Akiake Information criterion, Automobile, Bonus-Malus, Exponential family, Linear regression, Residuals, Scaled deviance. I. Application of the Generalized Linear Models in Actuarial Framework BY MURWAN H. M. A. SIDDIG School of Mathematics, Faculty of Engineering Physical Science, The University of Manchester, Oxford Road,

More information

A Sensitivity Analysis between Common Risk Factors and Exchange Traded Funds

A Sensitivity Analysis between Common Risk Factors and Exchange Traded Funds A Sensitivity Analysis between Common Risk Factors and Exchange Traded Funds Tahura Pervin Dept. of Humanities and Social Sciences, Dhaka University of Engineering & Technology (DUET), Gazipur, Bangladesh

More information

FINANCIAL PERFORMANCE OF PRIVATE COMMERCIAL BANKS IN INDIA: MULTIPLE REGRESSION ANALYSIS

FINANCIAL PERFORMANCE OF PRIVATE COMMERCIAL BANKS IN INDIA: MULTIPLE REGRESSION ANALYSIS FINANCIAL PERFORMANCE OF PRIVATE COMMERCIAL BANKS IN INDIA: MULTIPLE REGRESSION ANALYSIS Nataraja NS, Alliance University Nagaraja Rao Chilale, Vijaya College Ganesh L, Christ University ABSTRACT Banks

More information

Impact of Characteristics on Outreach and Profitability of Microfinance Institution in India

Impact of Characteristics on Outreach and Profitability of Microfinance Institution in India Paper Submission Date: 22/08/2013 Paper Acceptance Date: 26/03/2014 Article can be accessed online at http://www.publishingindia.com Impact of Characteristics on Outreach and Profitability of Microfinance

More information

Scholars Journal of Arts, Humanities and Social Sciences

Scholars Journal of Arts, Humanities and Social Sciences DOI: 10.21276/sjahss.2016.4.6.11 Scholars Journal of Arts, Humanities and Social Sciences Sch. J. Arts Humanit. Soc. Sci. 2016; 4(6B):686-699 Scholars Academic and Scientific Publishers (SAS Publishers)

More information

1 Assistant Professor, Govt. P.G. College, Bhiwani, Haryana

1 Assistant Professor, Govt. P.G. College, Bhiwani, Haryana Financial Inclusion - Role of Indian Banks in Reaching Out to the Unbanked and Backward Areas Preeti 1 Abstract A nation can grow economically and socially if it s weaker section can turn out to be financial

More information

Impact of Terrorism on Foreign Direct Investment in Pakistan

Impact of Terrorism on Foreign Direct Investment in Pakistan Impact of Terrorism on Foreign Direct Investment in Pakistan Mian Awais Shahbaz 1, Asifah Javed 1, Amina Dar 1, Tanzeela Sattar 1 1 UCP Business School, University of the Central Punjab, Lahore.Pakistan

More information

9. Assessing the impact of the credit guarantee fund for SMEs in the field of agriculture - The case of Hungary

9. Assessing the impact of the credit guarantee fund for SMEs in the field of agriculture - The case of Hungary Lengyel I. Vas Zs. (eds) 2016: Economics and Management of Global Value Chains. University of Szeged, Doctoral School in Economics, Szeged, pp. 143 154. 9. Assessing the impact of the credit guarantee

More information

CHAPTER - 5 COMPARATIVE ANALYSIS OF DIVIDEND POLICY

CHAPTER - 5 COMPARATIVE ANALYSIS OF DIVIDEND POLICY CHAPTER - 5 COMPARATIVE ANALYSIS OF DIVIDEND POLICY 67 CONTENT 5.1 Introduction 5.2 Analysis of selected Companies 5.2.1 Dabur India Ltd. 5.2.2 Nestle India Ltd. 5.2.3 Britannia Industries Ltd. 5.2.4 NTPC

More information

A STUDY ON PERCEPTION OF INVESTOR S IN AN ASSET MANAGEMENT ORGANISATION

A STUDY ON PERCEPTION OF INVESTOR S IN AN ASSET MANAGEMENT ORGANISATION A STUDY ON PERCEPTION OF INVESTOR S IN AN ASSET MANAGEMENT ORGANISATION KRITHIKA.BALAJI 1, Mr.P.WILLAM ROBERT 2, Dr.CH.BALA NAGESWARAROA 3 1. MBA Student, Saveetha School Of Management, India 2. Asst.Professor,

More information

Management of Non-Performing Assets in Virudhunagar District Central Co-Operative Bank-An Overview

Management of Non-Performing Assets in Virudhunagar District Central Co-Operative Bank-An Overview Middle-East Journal of Scientific Research 20 (7): 851-855, 2014 ISSN 1990-9233 IDOSI Publications, 2014 DOI: 10.5829/idosi.mejsr.2014.20.07.114016 Management of Non-Performing Assets in Virudhunagar District

More information

STATUS OF RURAL AND AGRICULTURAL FINANCE IN INDIA

STATUS OF RURAL AND AGRICULTURAL FINANCE IN INDIA STATUS OF RURAL AND AGRICULTURAL FINANCE IN INDIA Dr. K. K. Tripathy The public capital formation in the agricultural sector is on the decline and the traditional concern about accessibility of agricultural

More information

Cost benefit analysis of State Bank of India and its associates

Cost benefit analysis of State Bank of India and its associates 2016; 3(5): 463-470 ISSN Print: 2394-7500 ISSN Online: 2394-5869 Impact Factor: 5.2 IJAR 2017; 3(5): 463-470 www.allresearchjournal.com Received: 23-03-2017 Accepted: 24-04-2017 Dr. M Dhanabhakyam Associate

More information

Financial Crisis in Stock Exchanges-An Empirical Analysis of the Factors that can affect the Movement of Stock Market Index

Financial Crisis in Stock Exchanges-An Empirical Analysis of the Factors that can affect the Movement of Stock Market Index Global Journal of Management and Business Research: C Finance Volume 15 Issue 10 Version 1.0 Year 2015 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA)

More information

Deepali Pant Joshi: Financial intermediation for all economic growth with equity

Deepali Pant Joshi: Financial intermediation for all economic growth with equity Deepali Pant Joshi: Financial intermediation for all economic growth with equity Speech by Dr Deepali Pant Joshi, Executive Director of the Reserve Bank of India, at the Financial Inclusion Conclave of

More information

Valid Missing Total. N Percent N Percent N Percent , ,0% 0,0% 2 100,0% 1, ,0% 0,0% 2 100,0% 2, ,0% 0,0% 5 100,0%

Valid Missing Total. N Percent N Percent N Percent , ,0% 0,0% 2 100,0% 1, ,0% 0,0% 2 100,0% 2, ,0% 0,0% 5 100,0% dimension1 GET FILE= validacaonestscoremédico.sav' (só com os 59 doentes) /COMPRESSED. SORT CASES BY UMcpEVA (D). EXAMINE VARIABLES=UMcpEVA BY NoRespostasSignif /PLOT BOXPLOT HISTOGRAM NPPLOT /COMPARE

More information

CHAPTER III CONCEPTUAL FRAME WORK

CHAPTER III CONCEPTUAL FRAME WORK CHAPTER III CONCEPTUAL FRAME WORK This chapter is intended primarily to provide a conceptual frame work of the study. Moreover, the important terms and concepts used in the thesis have also been explained

More information

Review of Literature:

Review of Literature: Review of Literature: Agriculture sector is vital for India in view of the food and nutritional security of the nation as well as the fact that the sector remains the principal source of livelihood for

More information

Determinants of Capital Structure in Nigeria

Determinants of Capital Structure in Nigeria International Journal of Innovation and Applied Studies ISSN 2028-9324 Vol. 3 No. 4 Aug. 2013, pp. 999-1005 2013 Innovative Space of Scientific Research Journals http://www.issr-journals.org/ijias/ Determinants

More information

Effect of Foreign Ownership on Financial Performance of Listed Firms in Nairobi Securities Exchange in Kenya

Effect of Foreign Ownership on Financial Performance of Listed Firms in Nairobi Securities Exchange in Kenya Effect of Foreign Ownership on Financial Performance of Listed Firms in Nairobi Securities Exchange in Kenya 1 Anthony Muema Musyimi, 2 Dr. Jagogo PHD STUDENT, KENYATTA UNIVERSITY Abstract: This study

More information

Test of Capital Market Efficiency Theory in the Nigerian Capital Market

Test of Capital Market Efficiency Theory in the Nigerian Capital Market Test of Capital Market Efficiency Theory in the Nigerian Capital Market OGUNDINA, John Ayodele Department of Accounting and Finance Lagos State University, Ojo, Lagos, Nigeria. E mail:ayodelejohayo@yahoo.com:

More information

Asia Pacific Journal of Research Vol: I Issue XIII, May 2014 ISSN: , E-ISSN

Asia Pacific Journal of Research Vol: I Issue XIII, May 2014 ISSN: , E-ISSN MICRO FINANCIAL PROBLEMS OF SELF HELP GROUPS IN NAMAKKAL DISTRICT, *Sasikumar. P TAMILNADU ** Dr. Natarajan. G * PH.D Research Scholar, Department of Business Administration, Annamalai University **Assistant

More information