Imagine a research analyst, Priya, tasked with constructing a new diversified equity portfolio for a high-net-worth client. Her first step involves sifting through the vast universe of Indian mutual funds and PMS schemes. Regulatory mandates, like those from SEBI, ensure that performance data is readily available. Priya leverages specialized platforms that aggregate this data, allowing her to compare funds across various categories – large-cap, mid-cap, sectoral, and so on. This aggregation is crucial because raw data from individual fund houses can be inconsistent in presentation, making direct comparisons arduous.
These information aggregators act as essential intermediaries. They collect, standardize, and present performance metrics from numerous investment products in a uniform format. This enables analysts and investors alike to conduct systematic cross-scheme comparisons. Without this consolidation, evaluating a fund’s historical track record against its peers would be an inefficient and error-prone exercise. The value lies in the ability to see, at a glance, how a particular scheme has performed relative to its benchmark and its competitors over specified periods.
For Priya, this means she can quickly identify funds that have consistently outperformed their benchmarks and peers, not just in absolute terms but also on a risk-adjusted basis. This initial screening is vital. However, simply looking at headline returns can be misleading. A fund that delivered 20% last year might have taken on excessive risk to achieve that. Therefore, while aggregators provide the raw material for comparison, a discerning analyst knows this is just the starting point of a deeper investigation.
For instance, when comparing two large-cap equity funds, Fund A and Fund B, an aggregator might show Fund A returned 18% and Fund B returned 17% over the last five years. This seems straightforward. However, a deeper dive into the underlying risk metrics, which the aggregator also provides, might reveal that Fund A exhibited significantly higher volatility (measured by standard deviation) and a lower Sharpe ratio than Fund B.
This nuanced view allows Priya to recommend Fund B to her risk-averse client, even with its slightly lower absolute return, because it offers superior risk-adjusted performance.
Nuance
Check Your Understanding
An analyst is comparing two equity mutual funds, Fund X and Fund Y. An information aggregator shows Fund X returned 15% annually over the past three years, while Fund Y returned 14% annually over the same period. What additional information is most crucial for the analyst to consider before making a recommendation based solely on these figures?
A retail investor is using an online portal to compare different Systematic Investment Plans (SIPs). The portal aggregates historical SIP returns for various funds. If the investor solely relies on the highest aggregate return figure presented, what potential analytical error are they committing?
This is a companion read for Section 19.1 — Performance data for investment products from PASS Investment Adviser (Level 2) by Akhilesh Gururani, available on Amazon Kindle.
Copyright © 2026 Akhilesh Gururani. All rights reserved.