Mutual Fund Dataset
This dataset contains all the information related to mutualfund in india.
@kaggle.aloktantrik_mutual_fund_nav_data
About this Dataset
Mutual Fund Dataset
Mutual Fund Dataset
Table of Contents
- Introduction
- Dataset Overview
- Data Fields Description
- Usage Guidelines
- Handling Missing or Anomalous Data
- Conclusion
Introduction
The Mutual Fund Dataset provides key information about various mutual fund schemes managed by multiple Asset Management Companies (AMCs). The dataset includes critical details such as fund ratings, returns across different time periods, NAV (Net Asset Value), and minimum investment requirements. Additionally, the dataset also contains information about the fund managers responsible for managing the portfolios.
This data can be particularly valuable for financial analysts, individual investors, and researchers seeking to evaluate the performance and characteristics of different mutual funds.
Dataset Overview
The dataset comprises the following major categories:
- AMC (Asset Management Company): The institution managing the mutual fund.
- Fund Ratings: Ratings from reputable organizations like Morningstar and Value Research.
- Returns: Historical performance of mutual funds over 1 month, 1 year, and 3 years.
- NAV (Net Asset Value): The per-unit price of the mutual fund.
- Investment Requirements: Information on the minimum investment needed to participate in a fund.
- Fund Manager: Details of the person responsible for managing the fund’s investment strategy.
Data Fields Description
| Column Name | Description |
|---|---|
| AMC | Name of the Asset Management Company (e.g., 'Aditya Birla Sun Life Mutual Fund', 'ICICI Prudential Mutual Fund'). |
| Fund Name | The specific name of the mutual fund scheme. This field may have some missing data. |
| Morning Star Rating | The star rating provided by Morningstar, evaluating the fund's historical performance. |
| Value Research Rating | The rating assigned by Value Research, another trusted source for evaluating mutual funds. |
| 1 Month Return | The return on investment (%) for the mutual fund over the last month. |
| NAV (Net Asset Value) | The value per unit of the mutual fund, calculated as the market value of all assets minus liabilities, divided by the number of outstanding units. |
| 1 Year Return | The return on investment (%) for the mutual fund over the last year. |
| 3 Year Return | The return on investment (%) for the mutual fund over the last three years. |
| Minimum Investment | The minimum amount required to invest in the mutual fund (e.g., Rs.100, Rs.500). |
| Fund Manager | The name of the fund manager in charge of the mutual fund's strategy (e.g., 'Abhishek Bisen'). |
Usage Guidelines
This dataset can be used for:
-
Comparative Analysis: Investors and analysts can compare mutual funds based on their returns, minimum investment requirements, and ratings from reputed agencies like Morningstar and Value Research.
-
Investment Strategy: The dataset can help in identifying high-performing funds based on past returns and other key factors, assisting in portfolio diversification or fund selection.
-
Financial Research: Researchers can analyze trends across the mutual fund industry, assess risk versus reward, or develop prediction models based on fund performance data.
Handling Missing or Anomalous Data
-
Missing Data: Some columns, such as Fund Name, may have missing or incomplete data. Consider filtering out rows with insufficient data based on your use case.
-
NA Values: Fields such as Morning Star Rating, Value Research Rating, and Fund Manager may contain 'NA' values, indicating unavailability or lack of a rating for certain funds.
-
Other Category: Some columns include data points marked as "Other" to represent a collective group of funds or AMCs not specifically listed.
Conclusion
The Mutual Fund Dataset provides a comprehensive overview of the mutual fund landscape, enabling financial analysis and comparison. It offers a wealth of information for investors to make informed decisions based on fund performance, management, and ratings. Whether you're an individual investor or a financial researcher, this dataset offers valuable insights into the world of mutual funds.