FINANCIAL LITERACY AND RISK PROFILE: AN EXTENSIVE OBSERVATION ON BANK EMPLOYEES IN BANDUNG
People with a high financial literacy index tend to have better financial management skills to realize their financial well-being through effective financial decisions including investing according to their risk profile. The banking industry as an industry that has the highest inclusive level sel...
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Format: | Theses |
Language: | Indonesia |
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Online Access: | https://digilib.itb.ac.id/gdl/view/53457 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | People with a high financial literacy index tend to have better financial management skills
to realize their financial well-being through effective financial decisions including
investing according to their risk profile. The banking industry as an industry that has the
highest inclusive level selected because it can represent financial literacy conditions. On
the other hand, the gap between financial inclusion and financial literacy leads to a large
number of investment (illegal) cases and complaints to regulators.
The purpose of this study is to find out the level of financial literacy and type of risk
profile, factors that affect it, with bank employees in Bandung as research objects. The
sampling technique used is a non-probability sampling technique that is purposive
sampling with a total of 408 respondents. Data collection is done through online
questionnaires. There are three sections in the questionnaire, the first of which is about
demographic variables. The second part is about financial literacy while the third part is
about the risk profile. The data processing techniques used in this study are descriptive
statistical analysis and multiple regressions.
The results showed that bank employees in Bandung had financial literacy indexes
categorized as "medium" or "sufficient" (66.7%) with a risk profile index of "moderate"
type (60%). Demographic factors that affect financial literacy are age, education level and
organizational position. While the factor that affects the risk profile is age and gender.
Research has also revealed a strong correlation between financial literacy and risk profile.
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