RESEARCH STANDARDS

How Gajamudra measures mutual funds.

Every analytic is computed from disclosed portfolio data using the definitions below. This is the reference for checking, comparing and interpreting the platform's metrics.
07Reference sections
Clear and citable
01

Conviction & concentration

How focused a portfolio is and how strongly the manager backs selected ideas

Gini coefficient
The inequality of position weights across the portfolio (0 means every holding is equal-weighted; 1 means all weight is in one security). Conviction labels: Extreme above 0.50, High above 0.38, Moderate above 0.28, otherwise Low.
HHI (Herfindahl-Hirschman Index)
The sum of squared position weights, expressed in basis points. A higher HHI means weight is concentrated in fewer holdings.
Top-5 / Top-10 / Top-20 weight
The share of the portfolio held in its largest 5, 10 or 20 positions—a direct reading of concentration.
Maximum position & max-to-equal-weight
The largest holding's weight and how many times larger it is than an equal-weight position. A 5× ratio indicates a very large single position.
High-conviction positions
The count of holdings above twice their equal-weight share.
Position-weight standard deviation
The dispersion of position sizes; higher dispersion indicates a more selective portfolio.
02

Benchmark comparison

How different a fund is from its designated category benchmark

Active Share
0.5 × the sum of the absolute differences between each security's fund weight and benchmark weight. Labels: Closet Indexer below 60%, Moderately Active from 60–80%, and Highly Active above 80%.
Weight Overlap
The sum of the minimum of fund weight and index weight per security—the portfolio weight shared with the benchmark.
Cosine similarity
Directional similarity between fund and index weight vectors. 100% means identical direction; lower values indicate greater differentiation.
Jaccard similarity
Overlap of the two security universes regardless of weight: securities held by both divided by securities held by either.
03

Sector exposure

Where a portfolio is positioned at the industry level

Sector weights
Portfolio weight aggregated by the disclosed industry or sector of each holding.
Sector concentration (sector Gini)
The Gini coefficient applied to sector weights—how concentrated the fund is across industries rather than individual securities.
04

AUM & capacity stress

Whether growing assets may be changing how a fund is managed

AUM (approximate)
Assets under management approximated from disclosed holding market values. It is shown in rupees crore and must not be treated as official AUM.
Capacity stress score
A composite of rank correlations between AUM over time and falling conviction, rising holding count, compressing top-five weight and shrinking average position size. Labels range from No Stress Detected to High Stress.
05

Crowding: consensus & contrarian

Where a category agrees and where individual managers differ

Consensus pick
A security held by at least half the funds in a category. Crowded positions may carry herding risk if sentiment changes.
Contrarian position
A security held by exactly one fund in the category, indicating a differentiated position against peers.
06

Composite scorecard

A peer-ranked score combining conviction and activeness

Conviction score
A within-category percentile rank weighting Gini (35%), Top-5 weight (25%), high-conviction positions (20%) and HHI (20%).
Activeness score
A within-category percentile rank weighting Active Share (50%), inverted cosine similarity (30%) and inverted Jaccard similarity (20%).
Composite score
The average of conviction and activeness scores. All ranks are calculated within the fund's own category, not across categories.
07

Data & filters

The disclosed inputs used and how they are cleaned

Source data
Mutual fund portfolio disclosures per holding—fund, date, ISIN, security name, industry, weight and market value—plus NAV history. Figures reflect the reporting date shown on each page.
Filters applied
Derivatives and zero-weight lines are excluded. Indian securities with ISINs beginning IN are used for equity analytics, and weights are normalized per fund-month to 100%.
Market-cap classification
Large, mid and small cap follows the applicable AMFI classification and is refreshed when the classification changes.
Benchmark proxy
Each category is compared with its designated index using disclosed holdings of a tracking index fund when that proxy is available.