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Quant mutual funds: Decoding the math behind algorithm-driven schemes

This category of active MFS minimises the human element in decision making as far as investments are concerned. In turn, the action potentially reduces behavioural bias.

December 04, 2024 / 08:57 IST
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Quantitative funds use algorithm-driven mathematical models to formulate and execute investment strategies

The money management space, like other spheres of business, is increasingly turning to technology-enabled strategies such as algorithm-driven processes, quantitative analysis, artificial intelligence (AI)/machine learning (ML) tools to take key investment calls.

Quant, or quantitative funds, constitute a category of mutual fund (MF) schemes that rely heavily on these resources for stock selection, redemption, portfolio rebalancing and other crucial investment decisions. While conventional funds, too, employ these strategies, quant funds — particularly the passive ones — bank almost entirely on technology to guide the investment decisions.

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There are 10 active quant funds on offer, with SBI Quant Fund’s NFO (new fund offer) set to open for subscription on December 4, making it the 11 in the list. Total assets under management (AUM) for the active quant fund category amounted to Rs 9,000 crore as of October 31.

Here’s a look at the key features, advantages and limitations of this fund category: