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NGEN Fund Scores

Example of a Fund analytics page showing the ngenFundScore

We have just released the ngenFundScore – a way to compare all Mutual Funds in India in a simple and fair way. These scores are calculated using an algorithm run at every month-end. We currently show three scores:

  1. The NGEN Fund Score – this is based on risk adjusted performance.

  2. The NGEN Risk Score – this is based on various risk characteristics of the fund’s returns.

  3. The NGEN Return Score – this is based purely on the strength of the fund’s returns.

Fund scores will always be shown out of 10 and expressed in decimals. Few things to note:

  • These scores are calculated to show the performance of a fund against other funds in its own SEBI category. Therefore, a high score shows that a fund is one of the best in its category.

  • Any funds with less than one-year history will either not show a score or show a very low score.

  • Funds with low AUM will score slightly lower while funds with higher AUM will show an advantage.

  • Funds that are newer will tend to score lower.

These fund scores are clearly visible when you run Fund Analytics and the ngenFundScore also appears on the screener in the Funds section.

Over the next few weeks, we will gather feedback from our existing users, and you can expect to see fund scores being utilised in a bigger way throughout the platform for reporting, fund selection and eventually, automatic portfolio generation. We also hope to use your feedback to further improve our scoring algorithm.

Separately, we also recently released the following new features and bug fixes:

  • Customised disclaimers: You can set your own disclaimer text to be shown on all PDF and PPT reports. Please use the settings area to edit the default standard disclaimer

  • Alignment issues fixed in the Category Averages section.

  • Downloads are now fully available in Category averages.

  • Custom benchmarks now show correctly in the scenario analysis tab.

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SECURITY AND LOGIN We had recently made changes to the platform so that you get logged out automatically after a while – but this was causing issues for users that log in multiple times during the day


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