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Investment Habit Analysis Dataset
Data Science and Analytics
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About
Explores the connection between personal habits and investment behaviours from a behavioural finance perspective. This data is designed to facilitate analysis on how factors like demographics, income, and psychological traits influence financial decisions, particularly concerning savings and investments. It is significant for researchers and financial analysts studying the Theory of Planned Behaviour in the context of personal finance and retirement planning.
Columns
- AGE: The age of the respondent.
- GENDER: The gender of the respondent.
- MARITAL_STATUS: The marital status of the respondent.
- GROSS_ANNUAL_INCOME: The gross annual income of the respondent.
- EDUCATION: The educational level of the respondent.
- OCCUPATION: The occupation of the respondent.
- CASH: Investment in cash.
- EQUITY: Investment in equity.
- INSURANCE: Investment in insurance.
- FIXED_DEPOSIT: Investment in fixed deposits.
- GOLD: Investment in gold.
- MUTUAL_FUNDS: Investment in mutual funds.
- BEH: Behavioural variable (reverse coded version of MUTUAL_FUNDS).
- RP1, RP2, RP3: Variables related to retirement planning.
- RA1, RA2, RA3: Variables related to risk attitude.
- FQPB: Variable related to financial planning behaviour.
- PBC1, PBC2, PBC3, PBC4: Variables related to perceived behavioural control.
- GOAL: A concatenated variable representing investment goals, coded from 1 to 8.
- BI1, BI2: Variables related to behavioural intention.
Distribution
The dataset is provided in a single CSV file named
CODED_DATA(paper).csv. It contains 423 records, and no data is missing.Usage
This dataset is ideal for multivariate regression analysis to understand the determinants of investment choices. It can be used for academic research in behavioural finance, by financial advisors to model client behaviour, and by students learning about habit learning and the Theory of Planned Behaviour in a financial context.
Coverage
The sources do not specify the geographic, time range, or demographic scope of the data collection.
License
CC0: Public Domain
Who Can Use It
- Academic Researchers: For studies in behavioural finance and consumer behaviour.
- Financial Analysts: To build predictive models of investment patterns.
- University Students: As a practical dataset for projects on statistics and financial theory.
- Fintech Companies: To develop user profiles and personalized financial advice.
Dataset Name Suggestions
- Habits and Investment Behaviours
- Behavioural Finance and Investment Choices
- Demographics and Financial Decision-Making
- Investment Habit Analysis Dataset
- Psychology of Personal Investing
Attributes
Original Data Source: Investment Habit Analysis Dataset
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