Quant Fund

Most actively managed funds lean on a fund manager's judgement. The manager reads company results, meets management and forms a view.

A Quant Fund works differently. It uses data and numbers, run through machines, to decide what to buy and sell.

A quant fund is built around pre-determined models, created and refined through analysis of past data. Once built, the model is run through emerging (current) data to select holdings and to decide on buying and selling — the same model logic applies consistently, trade after trade, rather than being re-argued each time by a human.

The defining feature the workbook stresses is what this removes: quant investing takes out the human element in decision making. The model, not a fund manager's judgement call on a given morning, drives the portfolio.

Quant Fund appears in the workbook alongside Smart Beta Funds and International REITs as one of the "new types of funds" SEBI's scheme categorisation and rationalisation framework has had to accommodate as the industry has innovated beyond the original five broad scheme categories.

Illustrative — the workbook describes the mechanism but does not attach figures to it. Mrs Bhandari invests Rs 5,00,000 in a hypothetical Quant Fund built around a model that screens listed companies on measurable factors — say, earnings growth, price momentum and balance-sheet quality — and automatically rebalances as the underlying data changes, without a fund manager overriding the model's output.

At the NAV of Rs 25 on the day she invests, her Rs 5,00,000 buys 20,000 units. Over the next year the model's quarterly rebalancing trims some holdings and adds others purely on the numbers; no fund manager steps in to overweight or underweight a sector on a personal view. The NAV rises to Rs 28.75, and her holding is now worth 20,000 × Rs 28.75 = Rs 5,75,000 — a 15% gain, produced entirely by the model's rules.

Contrast this with a conventional actively managed equity fund at the same AMC, where the fund manager might deliberately underweight an entire sector because of a qualitative view — regulatory risk, a governance concern, a macro call — that no numerical model captures. The quant fund would not make that adjustment unless the model itself is redesigned to weigh that factor; the active fund manager can make the call the same afternoon.

Chapter 2, section 2.2.5 (New types of funds), grouped with Smart Beta Funds. Expect Quant Fund tested by elimination — distinguishing it from Smart Beta (which changes index weighting methodology) and from an ordinary actively managed fund (which relies on a human fund manager's judgement) by its defining feature: a data-driven, model-run process with no human element in the day-to-day buy/sell decision.

• A Quant Fund is not the same as an Index Fund. An index fund replicates a published index; a quant fund runs its own proprietary model, which need not track any published index at all.
• A Quant Fund is not the same as a Smart Beta Fund. Smart beta changes the weighting basis of an index-like portfolio (equal-weight, factor-weight); a quant fund's model can select securities from a much wider, non-index universe.
• "No human element" refers to the day-to-day selection decision, not to fund oversight altogether — the model itself is still built, monitored and periodically revised by people.