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Smart Beta Fund

An extension of index funds and ETFs that changes how the index is weighted — equal weights or other parameters instead of market capitalisation — to improve returns, diversify more and reduce risk.

In plain language

An ordinary index fund copies the index exactly, so the biggest companies by market value get the biggest share of your money. A Smart Beta Fund keeps the index idea but changes that one choice.

The workbook: smart beta funds are an extension of index or Exchange Traded Funds (ETFs) as they change the basis of the exposure in the portfolio to the index using alternative strategies. A plain index fund has the same exposure as the index, which means weightage by market capitalisation. Smart beta strategies rely less on market cap — for example equal weightage, or exposure based on additional parameters.

The stated aim: to improve returns, increase diversification and reduce risk.

How it works

Think of it as three levels of manager involvement:

Plain index fundSmart beta fundActively managed fund
Which stocksThe index constituentsBuilt around an indexManager's choice within the objective
How much of eachMarket-cap weightAlternative rule — equal weight or other parametersManager's choice
AimMirror the indexImprove on it through the weighting ruleBeat the benchmark

The weighting rule matters because in a market-cap index a handful of large companies can dominate. Equal weighting gives every constituent the same share, so the portfolio leans less on the largest names — which is how the strategy seeks to increase diversification.

The workbook places smart beta funds in Chapter 2.2.5, New types of funds, along with quant funds, international REIT funds and the Specialized Investment Fund. It gives no separate SEBI category or asset-allocation rule for them, so what matters for the exam is the definition: an extension of index funds and ETFs, changing the weighting basis away from market capitalisation.

A worked example

An index has three stocks. Rajiv puts Rs 3,00,000 into an index fund and his sister Pooja puts Rs 3,00,000 into an equal-weight smart beta fund on the same index. All figures are illustrative.

StockMarket-cap weightRajiv's moneyEqual weightPooja's moneyYear's return
A (largest)50%Rs 1,50,00033.33%Rs 1,00,000+10%
B30%Rs 90,00033.33%Rs 1,00,000−5%
C20%Rs 60,00033.33%Rs 1,00,000+20%
Rajiv: 15,000 − 4,500 + 12,000 = Rs 22,500  → 7.50%
Pooja: 10,000 − 5,000 + 20,000 = Rs 25,000  → 8.33%

This year the smaller stock C did best, so equal weighting won. Now reverse it: if A had returned +20 percent and C +10 percent, Rajiv would have made Rs 31,500 (10.5%) against Pooja's Rs 25,000 (8.33%). The alternative weighting changes the outcome in both directions — "improve returns" is the strategy's aim, not a promise.

Why NISM asks about it

Chapter 2.2.5 (New types of funds) introduces smart beta funds in one paragraph, and the testable content is compact: they are an extension of index funds / ETFs, they change the basis of exposure (for example equal weightage instead of market capitalisation), and they aim to improve returns, increase diversification and reduce risk. Expect a definition question, or a question contrasting them with quant funds, where models built on past data pick the holdings.

Common exam traps

  • Smart beta starts from an index. It changes the weights, not the idea of tracking an index.
  • A plain index fund weights by market capitalisation; smart beta relies less on market cap.
  • Improving returns is an aim, not a guarantee — a different weighting can also lag the index.
  • Smart beta is not a quant fund. A quant fund uses pre-determined models derived from past data to select holdings and make buy and sell decisions.
  • Both are listed as "new types of funds", not as SEBI scheme categories with their own asset-allocation limits.

Where this is taught

Free preparation for NISM Series V-D

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