




































Indian Journal of Finance and Banking 

 Vol. 8, No. 1; 2021 

                                       ISSN 2574-6081   E-ISSN 2574-609X 

Published by CRIBFB, USA 

 

1 

MEASURING ATTITUDE TOWARDS MUTUAL FUND 

INVESTMENT DECISIONS: EVIDENCES FROM TRIPURA, INDIA 
 

 

Dr. Ranjit Singh 

Professor 
Department of Management Studies 

Indian Institute of Information Technology Allahabad 

Prayagraj, India 

E-mail: ranjitsingh@iiita.ac.in 

 

Dr. Sujit Deb 

Associate Professor 

ICFAI University, Tripura, India 

E-mail: sujitdeb@iutripura.edu.in 

 

Dr. Bhartrihari Pandiya 

Assistant Professor 

Centre of Management Studies 

 Presidency College, Bangalore, India 

E-mail: bhartrihari.pandiya@presidency.edu.in 

 

Dr. Arjun Gope 

Assistant. Professor 

Department of Commerce 

Ramthakur College, Tripura, India 

E-mail: arjungope@rediffmail.com 

 

 

Received: August 30, 2021     Accepted: September 15, 2021     Online Published: September 22, 2021  

 

DOI: 10.46281/ijfb.v8i1.1350            URL: https://doi.org/10.46281/ijfb.v8i1.1350  

 

ABSTRACT 

The purpose of this paper is to assess the attitude of bank employees in Tripura towards investment in 

the mutual fund and investigate the impact of attitude on volume of investment. The study methodology 

is based on the responses of a questionnaire received from 262 employees of banks in Tripura. On the 

basis of primary data, the attitude of the employees has been assessed and ordinal logistic regression is 

used to find out the impact of attitude on their volume of investment in mutual fund. It is found that 

overall attitude of bank employees in Tripura towards investment in mutual fund is favorable. It can 

also be concluded that attitude and volume of investment in mutual fund is positively related. The study 

is useful for the fund managers of mutual funds. Once the attitude to employees towards investment in 

mutual fund is ascertained, then suitable strategy regarding imparting training can be designed to 

improve attitude towards investment in mutual fund. The study is original in nature. 

 

Keywords: Attitude, Bank Employees, Investment Behaviour, Mutual Fund. 

 

JEL Classification Codes: D63, D25. 

mailto:sujitdeb@iutripura.edu.in
mailto:arjungope@rediffmail.com
https://doi.org/10.46281/ijfb.v8i1.1350


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INTRODUCTION 

Mutual fund becomes a popular investment vehicle for the common man who has no technical expertise 

in share market for investment. It is also suitable for the employees who want to appreciate their savings 

but do not get time to monitor modern investment vehicles such as share market. Employees are busy 

for their work.  It is very difficult to find time to monitor the performance of stock market for getting 

higher return and to take own decision (Lynch & Musto, 2003). Employees of banks are, generally, 

educated and aware of the current financial systems that make significant impact while deciding the 

investment avenues (Palanivelu & Chandrakumar, 2013; Deb  & Singh, 2018a).  

Most of the banks have also started offering mutual fund under their own brand name. Therefore, 

the attitude of bank employees towards mutual fund is a rising area of behavioral science. According to 

the behavioral finance theory, decisions could be influenced by unavoidable, psychological and 

emotional factors (Singh, 2009a; Singh, 2010; Singh, 2019). Out of several factors affecting their 

investment behaviour such as risk perception (Deb & Singh, 2018b; Singh & Bhowal, 2011; Singh and 

Bhowal, 2012; Singh, 2012; Deb and Singh, 2016; Singh & Bhattacharjee, 2019; Bhattacharjee, Singh, 

& Kajol, 2020), awareness (Bhattacharjee & Singh, 2017; Bordoloi et al., 2020), familiarity bias (Singh 

and Bhowal, 2010a) etc., one such factor is attitude of the investors. Attitude may be defined as 

evaluative effect of individuals’ positive or negative feelings toward conducting a specific behaviour 

(Fishbein & Ajzen, 1975). At different level of attitude, the individual investors view differently about 

their investment and make decisions differently. In this situation, the present study has made an attempt 

to gauge the impact of attitude of bank employees on their investments in mutual funds. Attitude 

influences an individual's choice of action and responses to challenges, incentives, and rewards. If an 

individual has a favorable attitude toward a specific behaviour, the chances will be increased that they 

have an intention to conduct the behaviour and, if they are unfavorable towards behaviour, they are 

likely not to have the intention (Fishbein & Ajzen, 1980).The extent to which one views a behaviour as 

favorable or unfavorable depends upon perception of a person that if there were positive outcomes 

resulting from an activity, then his or her attitude towards performing that behaviour is likely to be 

positive (Ajzen, 1991). The relationship between attitudes and behavior has become vital theme of 

investigation in social psychology (Eagly & Chaiken, 1993). Many studies have claimed that attitude 

has a significant impact on behavioral intention (Mathieson, 1991; Teo & Pok, 2003; Shih & Fang, 2004; 

Ramayah & Suki, 2006). 

Numbers of studies have been conducted regarding impact of attitude on investment behaviour. 

The investment decision is influenced by investor's attitude (Ajzen, 1991; Chandra & Kumar, 2011; Liu,  

et al., 2007; Jothilingam & Kannan, 2011). The study found that psychological factors such as attitude 

have a direct impact on investment behaviour of individuals (Sehgal & Singh, 2012; Phan & Zhou, 

2014). The decision of asset allocation in risky and riskless assets is affected by the risk-taking attitude 

of investor (Nosic & Weber, 2007). Investment decision on stock market is influenced by investor who 

is having positive attitude towards equity investment (Kabita, 2015). The decision to change funds 

within a fund family was affected by investor's attitude towards risk (Lenard et al., 2003).  

So far as investment in mutual fund is concerned, it was found in studies that investors have a 

positive attitude towards their investment made in mutual funds (Gaglani & Rao, 2014; Subramanian & 

Murthy, 2013; Pariharet al., 2009; Singh & Vanita, 2002). Das (2012) has observed that, of late, many 

institutions are engaged in providing wealth management services to the investors. However, these 

services are very costly. Therefore, mutual fund is gaining popularity for both small and big investors 

as it is guided by fund managers at a very small cost. Mutual fund becomes popular investment vehicle 

that allows small investors access to a well-diversified portfolio of equities, bonds and other securities 

(Kumar & Ahmed, 2012; Singh, 2009b). It was established that employees have positive attitude towards 

mutual fund that leads to high volume of investment (Murugan, 2012). It was also found that employees 

and self-employed persons of the north eastern region have positive attitude towards investment in 

mutual fund (Sikidar & Singh, 1996). Therefore, in this study, impact of attitude on mutual fund 

investment is considered to be examined in the context of bank employees of Tripura state of India 

which is one of the smallest states in India. 



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Having established the relationship between attitude and investment in mutual fund, next 

challenge is to develop a scale to measure attitude of the investors. Attitude toward the investment is 

defined as one's general feelings signifying their favorableness or un-favorableness to a particular 

investment (Phan & Zhou, 2014). Policy makers are interested in finding ways of measuring attitude 

since it is an important component in any decision-making process. It has been established from the 

earlier studies that if people’s have positive attitude towards a particular type of investment then it is 

reflected in the volume of investment (Singh, 2012; Rathore et al., 2014). Subramanya & Murthy (2013) 

asked respondents to rate their level of attitude towards investment. They provide three options of to 

measure attitude which were high, medium, low. Murugan (2012) and Gaglani and Rao (2014) measured 

attitude by giving three options such as positive, neutral and negative. The tools mentioned in the above 

literature to measure the attitude of the investors towards mutual fund suffer from some limitations. First 

of all, three point scales suffers from some limitations such as reliability and validity (Singh & Kar, 

2011). It is observed that respondents have the tendency to provide their response which usually happens 

to be the neutral point or middle point. Furthermore, they are not aware regarding their own appropriate 

attitude towards mutual fund, if it is asked in general. It is also possible that some respondent may 

pretend to be having very favorable attitude and opt for the option accordingly, whereas in reality they 

happens to be critic of mutual funds. So, present study measures the attitude regarding mutual funds 

differently from the above-mentioned measurement scale.  

Therefore, after the above the discussion the objective of this study is as follows: 

 To ascertain the attitude of bank employees in respect of investment in mutual fund; 

 To find out the impact of attitude of bank employees on their investment decision in mutual 

funds. 

The study attempts to establish the relationship between attitude and investment in mutual fund and 

therefore, tests the following hypothesis: 

 

H01: There is no significant association between attitude of individual investors and their 

investment in mutual fund. 

 

Rest of the paper is organized as follows: Section 2 deals with the research methodology of the study; 

section 3 presents the analysis and findings of the study; section 4 contains the conclusion and policy 

implications of the study.  

 

RESEARCH METHODOLOGY 

The present study is descriptive in nature. The universe of the study consists of all the bank employees 

in Tripura who belong to a bank which are having their own sponsored mutual fund. The numbers of 

such employees were 815 as on 1.10.2019. Using random sampling design at 95% confidence level and 

5% confidence interval, a sample of 262 employees was obtained. The sampling unit was the individual 

bank employee who is from the bank which is having their own sponsored mutual fund. Primary data 

was collected using a well-structured questionnaire. Secondary data was collected from various journals, 

magazines, books and newspapers. To collect primary data, a scale was constructed to measure attitude 

of bank employees towards mutual fund investment. Initially 13 items were considered to construct the 

scale. These items were identified from the review of literature, theories, discussion with the experts and 

experience of the pilot study. The details of the items and their source are given in the table 1.  

 

Table 1. Details of questionnaire 

 

Sl. No. Items Source(s) 

1 Investment in mutual fund  is easy than any other  

mode of  investment 

Singh, 2009b; Deb and Singh, 2018a 

2 Adequacy of return from mutual fund Deb and Singh, 2016;  



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3 Managing of  risk involved with mutual fund Singh, 2008; Singh & Bhowal, 2009a 

4 Mutual fund  schemes  are adequate to cater to the 

need of every investor in stock market 

Kajol et al. (2020) 

5 Easiness of redemption in mutual fund Deb and Singh, 2018b 

6 Mutual fund as good investment avenues for tax 

saving 

Deb and Singh, 2018a 

7 Gambling in mutual fund Singh & Tiwari (2013) 

8 Investor's recommendation to others to invest in 

mutual fund 

Singh & Bhowal, 2011, Singh & 

Bhattacharjee, 2019 

9 Mutual fund is better  investment option than bank 

fixed deposit 

Singh, 2009b 

10 Mutual fund investment is the best way to invest in 

equity shares 

Singh, 2009b 

11 Investor’s regularity in gathering  information on 

mutual fund 

Singh & Bhowal, 2011 

12 Investor’s  giving  some time to monitor mutual 

fund performance 

Singh & Bhowal, 2011 

13 Investor’s eagerness to listen if some agent 

explains regarding mutual fund 

Singh & Bhowal, 2011 

Source: Compiled by the authors from various sources 

 

For measuring attitude, the responses on above-mentioned items were obtained on a five-point 

scale ranging from 5 to 1 where 5 denotes very favorable attitude and 1 denotes very unfavorable 

attitude. Further, to know about the investment of the bank employees in mutual fund, the present 

volume of investment in mutual fund was sought. They were asked to provide information about their 

investment in mutual fund and the options given to them were as follows: no investment, less than 25% 

in mutual fund out of their total investment, and 25% to 50% in mutual fund out of their total investment 

and above 50% of their total investment in mutual fund. Singh & Bhowal (2010c); Singh & Bhowal 

(2009b) have used similar kind of questionnaire to assess the volume of investment.  

To assess the attitude of investors in mutual fund, statistical tests such as mean, standard deviation, 

etc. were used.The reliability of the questionnaire was assessed by Cronbach’s alpha that measures the 

internal consistency of the items. Alpha was developed by Lee Cronbach in 1951 to provide a measure 

of the internal consistency of a test or scale. Internal consistency describes the extent to which all the 

items in a test measure the same concept or construct and hence it is connected to the inter-relatedness 

of the items within the test (Tavakol & Dennick, 2011). For assessing the influence of attitude on 

investment in mutual fund, ordinal logistic regression analysis has been used as the investment in mutual 

fund is considered on an ordinal scale. In the work of Singh & Bhattacharjee (2010a) and Singh and 

Bhattacharjee (2010b) the investment was considered on binomial scale and therefore, binomial logistic 

regression was used, however, in this case this cannot be applied. Deb and Singh (2017); Deb and Singh 

(2018a); Singh et al. (2020) have used similar analysis to arrive at logical conclusion in the similar 

studies.  

 

ANALYSIS AND FINDINGS 

The analysis and findings of the present paper is given in the following paragraphs: 

 

Measuring Attitude towards Mutual Fund Investment 

The reliability of the scale was performed and coefficient of Cronbach’s Alpha was found to be 0.924 

for 13 items (or statements) considered for the study which is more than 0.70 and indicative of very high 

degree of reliability of scale (Nunnaly, 1978). Having established the reliability of the scale constructed 



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to measure the attitude of the investors towards mutual fund, the item statistics for the attitude of bank 

employees to the various items considered for the study is presented in table 2. 

 

Table 2. Item Statistics 

 

SL. 

No 

     Particulars 

Mean 

Std. 

Deviation 

1 Investment in mutual fund  is easy than any other mode of investment 3.6412 .94742 

2 Return from mutual fund  is adequate 3.5496 .86847 

3 Risk involved with mutual fund is manageable 3.3969 .96434 

4 The mutual fund  schemes are adequate to cater to the need of every 

investor in stock market 

3.4160 .94616 

5 Redemption from mutual fund is easy  3.5763 .91386 

6 Mutual fund is good investment avenues for tax saving 3.7519 .94863 

7 Investing in mutual fund   is not gambling 3.6107 1.02887 

8 I recommend others to invest in mutual fund 3.6145 1.02846 

9 Mutual fund is better investment option than bank fixed deposit 3.4122 1.09943 

10 Mutual fund investing is the best way to invest in equity shares 3.6641 .91485 

11 I regularly gather information on mutual fund 3.4275 .97108 

12 I give some time to monitor mutual fund performance               3.3893 1.00628 

13 I am eager to listen if some agent explains regarding mutual fund. 3.4962 .93771 

Source: Compiled from questionnaire 

 

The respondents were asked to rate their responses according to their attitude on a five point 

Likert scale. A score of 1, 2, 3, 4 and 5 was given to each statement for the responses strongly disagree, 

disagree, neutral, agree and strongly agree respectively. Then a total score for attitude has been found 

by adding the scores of all the statements related to attitude. For 13 statements (or items), the maximum 

possible score was 65 (13X5) and minimum possible score was 13 (13X1). The difference between 

maximum possible score and minimum possible score was 52 (65-13). In order to make five points scale 

to measure attitude of individual investor, range of 52 was divided by 5 and it was found to be 10.4. 

Adding 10.4 with 13 (lowest possible score), the attitude score range of 13-23.4 was found which was 

categorized as ‘very unfavorable attitude’. Similarly adding 10.4 with subsequent values, next higher 

range was obtained. Singh and Bhowal (2012); Singh (2012); Choudhury and Singh (2015a); Choudhury 

and Singh (2015b); Choudhury and Singh (2015c)  have framed similar interpretation table using similar 

upper limit exclusive scale in table 3, attitude score is interpreted.  

 

Table 3. Interpretation of attitude score  

 

Scale value Interpretation of scale value 

13-23.4 Very unfavorable attitude 

23.4-33.8 Unfavorable attitude 

33.8-44.2 Neutral attitude 

44.2-54.6 Favorable attitude 

54.6-65 Very favorable attitude 

Source: Compiled from questionnaire 

 

The overall attitude of the entire respondent was calculated by adding their score in the Likert 

scale. Then its value was interpreted using table 3. The overall level of attitude is presented in table 4. 

 

 



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Table 4.  Overall attitude 

 

 Frequency Percent 

Highly favorable 21 8.0% 

Favorable 129 49.2% 

Neutral 45 17.2% 

Unfavorable 43 16.4% 

Highly unfavorable 24 9.2% 

Total 262 100.0 

Overall mean 45.9466 

Overall standard deviation 9.10418 

Source: Compiled from questionnaire 

 

From the table 4, it is observed that overall mean score is 45.9466 which fall under favorable 

category as per interpretation score given in table 3. Thus, it can be concluded that bank employees have 

favorable attitude towards their investment in mutual fund. 

 

Impact of Attitude on Investment in Mutual Fund 

To ascertain the impact of attitude on mutual fund investment, ordinal logistic regression was used. 

Investment in mutual fund was considered as dependent variable and attitude, as calculated above, was 

the predictor variable. The dependent variable was present investment in mutual fund, where Y=1(Not 

invested in mutual fund), Y=2(Less than 25% investment in mutual fund out of total investment), 

Y=3(25%-50%investment in mutual fund out of total investment) and Y=4(More than 50% investment 

in mutual fund out of total investment). Predictor variable is attitude of bank employees, where 

X=1(Very favorable attitude), X=2(Favorable attitude), X=3(Neutral attitude) and X=4(Unfavorable 

attitude) and X=5 (Very unfavorable attitude).As dependent variable was on ordinal scale, linear 

regression model cannot be used as a good model in order to find the impact of attitude on investment 

in mutual fund. Linear regression model provides good model if dependent variable is in metric scale 

(such as interval or ratio scale (Hair et al 2009). So, ordinal logistic regression was suitable for this case.  

 

Table 5. Case Processing Summary 

 

Investment in mutual fund at 

present 

Not Invested 142 54.2% 

Less Than 25% 61 23.3% 

25%-50% 46 17.6% 

More than 50% 13 5.0% 

Attitude  Very high favorable 21 8.0% 

High favorable 129 49.2% 

Neutral 45 17.2% 

Unfavorable 43 16.4% 

Very unfavorable 24 9.2% 

Valid 262 100.0% 

Source: Compiled from the questionnaire 

 

Table 6. Model Fitting Information 

 

Model -2 Log Likelihood Chi-Square Df Sig. 

Intercept Only 140.156    

Final 42.883 97.273 4 .000 

Compiled from the questionnaire 



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In order to explain the effects of each explanatory variable (attitude) in the model, it is required 

to ascertain if the model improves the ability to predict the outcome. It has been done by comparing a 

model without any explanatory variables (‘Intercept only’ model) against the model with the explanatory 

variables (attitude) (the ‘Final’ model). Final model is compared against the intercept only model to see 

if it has significantly improved the fit to the data. Roy, Singh, HR & Singh, R. (2017a); Roy, Singh, H. 

R., & Singh, R. (2017b) have used similar methodology to arrive at their conclusions. The result of chi-

square test, as presented in table 7, shows that the final model gives a significant improvement over the 

intercept-only model, since p-value is less than 0.05. Thus, this model gives better predictions.  

 

Table 7. Goodness-of-fit 

 

 Chi-Square Df Sig. 

Pearson 5.777 8 .672 

Deviance 6.970 8 .540 

          Compiled from the questionnaire 

 

Table 7 contains Pearson's chi-square statistic for the model (as well as another chi-square 

statistic based on the deviance). This statistics is used to test consistency of the observed data with the 

fitted model. The results indicate that the model does fit very well as p-value is higher than 0.05. 

 

Table 8. Pseudo R-Square 

 

Cox and Snell .310 

Nagelkerke .347 

McFadden .165 

Source: Compiled from the questionnaire 

 

In table 8, it was found that the Cox and Snell R2 value for the fitted ordinal logistic regression 

is 0.347 which does indicate a good fit. 

 

Table 9. Parameter Estimates 

 

  

Parameter Estimates 

95% Confidence 

Interval 

  

Estimate 

Std. 

Error Wald Df Sig. 

Lower 

Bound 

Upper 

Bound 

Proportion of 

total investment, 

invested in 

mutual 

fund(Threshold) 

Not invested 3.146 1.026 9.396 1 .002* 1.135 5.158 

Less than 

25% 

4.558 1.039 19.235 1 .000* 2.521 6.595 

25%-50% 6.601 1.077 37.567 1 .000* 4.490 8.711 

Attitude Very 

favorable 

5.525 1.121 24.292 1 .000* 3.328 7.722 

Favorable 3.759 1.042 13.018 1 .000* 1.717 5.801 

Neutral 2.057 1.081 3.619 1 .057** -.062 4.177 

Unfavorable 1.482 1.107 1.791 1 .181 -.688 3.652 

Very 

unfavorable 

0a . . 0 .   

Source: Compiled from questionnaire 

 

http://www.restore.ac.uk/srme/www/fac/soc/wie/research-new/srme/glossary/index34aa.html?selectedLetter=E#explanatory-variable


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Table 9 investigates the estimated parameter. These are the ordered log-odds (logit) regression 

coefficients. It indicates that when predictor variable, i.e., attitude is increased by one unit, the dependent 

variable level is expected to change by its respective regression coefficient in the ordered log-odds scale 

while the other variables in the model are held constant. The threshold coefficients just represent 

intercept. It is found from the table 10 that all the intercepts are significant at 5% level of significance. 

It indicates that Intercepts are not equal to zero. Beta coefficient of certain levels of attitude such as very 

favorable attitude, favorable levels are significant at 5% level of significance as p value is less than 0.05. 

Beta coefficient for neutral level of attitude or in other words it can be said that neither favourable nor 

unfavourable level of attitude is significant at 6% level of significance as p value is less than 0.06. 

Estimated beta values are positive which indicates favorable attitude and investment in mutual fund is 

positively related, meaning thereby, if an investor’s attitude is changed from unfavorable to favorable, 

his/her investment volume will be increased from low level to high level. So, it is concluded that 

different attitude levels have significant impact on volume of investment in mutual fund. Beta coefficient 

is found highest, i.e., 5.525 in case of very favourble attitude which means if an investor’s attitude is 

changed from very unfavorable (reference level) to very favorable, his/her investment volume will be 

increased from low level to high level at the highest rate. 

 

POLICY IMPLICATION AND CONCLUSION 

It can be concluded that attitude and volume of investment in mutual fund is positively related. It is 

found that overall attitude of bank employees in Tripura towards mutual fund is favorable. Investors 

with favorable attitude towards mutual fund are investing relatively higher volumes of investment in 

mutual fund, and investor with unfavorable attitude are either not investing in mutual fund or investing 

at low level, given the test and methodology of this study. Subramanya and Murthy (2013) were also of 

the same view. However, the findings of Singh (2012) and Black (2004) are contradictory to this finding. 

Most of the respondents are confused about the mutual funds and have not formed any attitude towards 

the mutual fund for the purpose of investment (Singh, 2012; Black, 2004). This study is very significant 

for the policy maker as these findings are true picture of attitude of bank employees towards mutual 

fund and its impact on their investment decision. If bank employees develop positive attitude towards 

investment in mutual fund, then it will lead to encouragement to invest for the other members of the 

society since somehow majority of the people of the society are directly related to bank employees for 

doing their monetary transactions and used to seek the opinion of bank employees or value their opinion 

for the purpose of making investment. Ramanathan and Meenakshisundaram (2015) suggested that 

awareness programs should have to be conducted to educate the bank employees towards capital market 

investment. So, in order to increase the investment volume in mutual fund for the bank employees, 

proper awareness program should be arranged to make their attitude favorable. Singh and Bhowal 

(2010b) have suggested that employer should take initiative to impart investment education to their 

employees. Opening of learning investors club or similar kind of initiative can also go a long way in 

infusing positive attitude about mutual fund investment (Singh & Barman, 2011). 

 

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https://doi.org/10.1177/0971890720100103
https://doi.org/10.3390/risks7010012
https://doi.org/10.46281/ijfb.v4i2.745
https://doi.org/10.5116/ijme.4dfb.8dfd
https://doi.org/10.1016/j.omega.2003.08.005

