SELECT FUNDS TO COMPARE (2–5)
We have pre-loaded a 3-fund overlap example below. Clear the search to select your own funds and compare.
FREQUENTLY ASKED QUESTIONS (FAQS)
General & Strategic Concepts
What is mutual fund overlap, and why does it matter?
Mutual fund overlap occurs when two or more funds in your portfolio hold the exact same underlying securities. For sophisticated investors, tracking this is crucial. If you buy multiple funds thinking you are diversifying, but those funds own the same stocks, you are inadvertently creating concentration risk. This defeats the purpose of multi-fund investing and forces you to pay multiple management fees (expense ratios) for essentially the same underlying portfolio.
How can high overlap hurt your portfolio's performance?
High overlap damages your portfolio in three distinct ways:
- False Diversification: It creates an illusion of safety. If a single sector or stock experiences a downturn, a highly overlapping portfolio will suffer systemic losses across multiple funds simultaneously.
- Compounded Expense Ratios: You are paying multiple management fees to achieve what a low-cost passive index fund could deliver at a fraction of the cost.
- Diluted Alpha: If your combined funds closely mirror a broad market index due to high commonality, you are effectively paying active management fees to achieve passive benchmark returns.
What makes mutualfundoverlap.in different from other portfolio checkers?
Commercial platforms operate on client acquisition models. They offer basic 2-fund checkers as consumer hooks to capture your phone number, require a mandatory login, and redirect you into an active advisory or sales pipeline.
mutualfundoverlap.in is engineered as a clean, "Switzerland-style" financial utility:
- Zero User Friction: No accounts, no mandatory OTP logins, and no mobile tracking. Complete premium features are open and un-gated.
- Institutional Multi-Fund Capacity: We allow simultaneous computing for up to 5 funds via our commonality engine, whereas most retail tools limit you to basic 2-fund pairs.
- Precise Weighted Intersections: We compute the exact mathematical weight of the shared assets, providing an accurate view of your actual capital exposure rather than a simple count of common stocks.
Platform Scale & Data Freshness
Where does your portfolio data come from?
Unlike other tools that rely on generic third-party data wrappers, our platform pulls data directly from official Asset Management Company (AMC) websites. By bypassing intermediaries, we eliminate the risk of upstream data corruption or delayed syncing, giving you direct access to pristine, regulatory-grade portfolio data.
How vast is the platform's database?
Our engine processes institutional-grade volume to map the entire Indian equity mutual fund landscape. The platform dynamically tracks:
- 40+ Asset Management Companies (AMCs) covering all major and mid-tier fund houses.
- 1,500+ Mutual Fund Schemes spanning all active equity categories.
- 85,000+ Holdings Data Points tracked continuously to map individual underlying stock weights across portfolios.
How often is the data updated?
Indian AMCs release official portfolio disclosures once per month (typically within the first 12 working days of the following month). Our system processes these updates as they drop. The platform currently analyzes the most up-to-date disclosures.
Advanced Portfolio Analytics
What is the Commonality Matrix (Heatmap) and how do I read it?
When you analyze 3 to 5 funds simultaneously, standard lists or Venn diagrams become visually unreadable. To solve this, our platform dynamically generates a professional-grade 5x5 Commonality Matrix.
- How it works: The matrix acts as an interactive heatmap where every intersecting cell represents a unique pair of funds.
- How to read it: Locate a fund on the horizontal axis and cross-reference it with the vertical axis. The intersecting cell displays the exact, weighted overlap percentage between those two specific funds. The deeper the color saturation of the cell, the higher the structural redundancy between those portfolios.
What are the Pairwise Severity Tiers and Risk Badges?
To save you from manual data interpretation, our engine instantly passes every fund pair through a diagnostic audit, applying explicit Risk Badges across four specific Severity Tiers:
- 🟢 Low Overlap Badge: Indicates clean diversification. The portfolios have highly distinct allocations, meaning your capital is spread efficiently across different strategies.
- 🟡 Moderate Overlap Badge: Points to typical industry cross-over. This frequently occurs when comparing funds that fish in the same Nifty large-cap pool. Generally acceptable if restricted to top conviction holdings.
- 🟠 High Overlap Badge: A clear warning sign. Your funds are running highly redundant strategies. You are likely paying double the expense ratios for the same market exposure.
- 🔴 Critical Overlap Badge: Severe concentration risk. The two funds are structurally identical clones under the hood. Consolidating these holdings into a single fund is highly recommended to eliminate redundant fee structures.
How does the engine calculate overlap using underlying stock ISINs?
Most basic tools calculate overlap by simply reading the text names of stocks disclosed by AMCs. If one fund lists an asset as "Reliance Industries" and another lists it as "Reliance Industries Ltd", basic text-matching fails, underreporting your true overlap risk. Our engine avoids this entirely via absolute precision tracking:
- True Underlying Assets: The matching engine ignores fund variant names and text stock titles completely.
- ISIN Stripping: It strips every portfolio down to its core regulatory ISINs (International Securities Identification Numbers) starting with "INE".
- Mathematical Intersection: The engine runs a mathematical intersection on these unique alphanumeric codes. If two funds hold the exact same ISIN, they are matched instantly and flawlessly, allowing us to calculate the exact weighted impact of that specific holding on your total portfolio.