Machine learning and artificial intelligence (AI) have also forayed into the mutual fund space. Mutual funds governed by machine learning and artificial intelligence algorithms are known as quant funds. Over the last few years, quant funds have increased adoption among Indian investors. These unique yet lesser-known mutual funds allocate their assets based on a pre-defined algorithm. The fund manager has no role in asset allocation. However, unlike index funds, quant funds are not free from the fund manager. Mutual fund managers monitor and design the model for picking the stocks for the quant mutual fund portfolio. If you want to know more about this exciting mutual fund category, read this quick guide:
What are quant mutual funds?
A quant mutual fund comprises securities chosen through numerical data compiled by quantitative analysis. Customized machine learning and AI models that pick investments according to a pre-defined algorithm build these mutual fund portfolios. These are non-traditional and passive investments, and the fund manager has no say in the portfolio decisions. The entry and exit of the security investments are also decided by an automated program, unlike actively managed mutual funds.
Even though fund managers do not directly role the quant mutual funds, they replicate the model suggested by the algorithm or program. Further, they monitor and design the model that picks the mutual fund portfolio options and ensures the portfolio performs as per the model outcomes. Before investing, the fund manager conducts fundamental holistic research about the companies and sectors in passive mutual funds. Alternatively, in quant mutual funds, the selection of securities is based on quantitative techniques, including trend analysis, statistical modeling, data computing, and more.
Why should you invest in quant mutual funds?
Quant mutual fund portfolios are based on deep statistical models and have been tested extensively. Here are some reasons that justify why you should invest in quant mutual funds:
- No human bias: Security selection in a quant mutual fund portfolio is based on an algorithm. Hence, the portfolio selection is objective and not subjective to human preference like an actively managed fund, where the fund manager picks the securities for your portfolio.
- Predictable outcomes: Quant mutual fund portfolios follow a standard and pre-defined process for selection and functioning. This makes the results from such portfolios predictable and explainable.
- Scalable: The models behind the quant mutual fund portfolios are launched after considerable research and testing., making them significantly scalable.
- Less risk: Generally, quant mutual fund algorithms pick less volatile securities (especially stocks). Moreover, quant models also have inbuilt checks to assess sector or stock concentration, ensuring diversification and reducing portfolio risk. You can invest in quant funds through the SIP (Systematic Investment Plan) mode to lower your risk further.
Conclusion
Before investing in quant funds, it is also critical to know that these mutual funds are also subject to empirical bias because the statistical models governing the security selection in such funds are based on historical data. Therefore, as an investor, it is wise to carefully study the model used by the quant mutual fund before investing. Use the Tata Capital Moneyfy App to read about different quant mutual funds available in the market. Compare mutual funds through the Moneyfy app and make an informed choice.
