NOTE: This project was for personal use. Any information provided in this project should not be construed as financial advice.
Investing in mutual funds through a Systematic Investment Plan (SIP) is a popular method among investors for wealth creation. The objective of this project is to analyze the impact of different SIP dates on the returns of mutual funds. By investigating the variations in returns based on the SIP investment date, investors can make more informed decisions and potentially enhance their investment returns.
The primary objective of this project is to:
Analyze the performance of SIP investments in mutual funds based on different investment dates.
Compare the returns generated by choosing different SIP dates over a specified period.
Provide insights and recommendations for selecting optimal SIP dates to maximize returns.
The raw data for this project was obtained from the Association of Mutual Funds in India (AMFI) website. The AMFI provides historical NAV (Net Asset Value) data for various mutual funds, which is essential for analyzing the performance of SIP (Systematic Investment Plan) investments.
Visit the AMFI NAV History Download page.
Select the appropriate mutual fund and the time period for which you want the NAV data.
Download the data as a CSV file.
After downloading the raw data, several preprocessing steps were performed to prepare it for analysis. Below are the detailed steps:
Load the Data:
Read the CSV file into a Pandas DataFrame.
Parse the dates and sort the data to ensure chronological order.
Data Cleaning:
Handle missing values by either filling them with appropriate values or removing the corresponding rows.
Rename columns for better readability if necessary.
Feature Engineering:
Extract relevant features such as the day, month, and year from the date column.
Calculate additional metrics if neede, such as monthly returns or cumulative returns.
Save the Preprocessed Data:
Save the cleaned and processed data to a new CSV file for future use.
By following these steps, we ensured that the data is clean, well-structured, and ready for further analysis. This preprocessing is crucial for accurate and meaningful insights during the subsequent stages of data analysis and visualization.
You can adapt this explanation and code to your specific needs and include it in the README.md file of your GitHub repository to help others understand how you collected and processed the data for your project.
Monthly SIP Calculation: Calculated the returns for SIP investments made on different dates of each month.
Return Comparison: Compared the returns for SIP investments made on different dates to identify trends and patterns.
Visualization: Created visualizations to represent the data and findings clearly.
Optimal SIP Date: After analysis, the 24th of each month is recommended as the best date for starting a Systematic Investment Plan (SIP). This suggestion is based on thorough research and data analysis. However, individual circumstances may vary, so consider personal factors before making investment decisions.
Conclusion
The analysis reveals that the choice of SIP date can significantly impact the returns of mutual fund investments. By carefully selecting the SIP date, investors can potentially enhance their returns. This project provides valuable insights for investors looking to optimize their SIP strategies. The findings can help investors make informed decisions and improve their financial planning.
One of the possible reason for this conclusion is that most salaried employees have their SIPs in the beginning of the month when they get their salaries in their account this inflow of cash into the market makes the price a bit inflated than it should be and buys the units at higher price.
Github Repository link :