May 2017 Equity Mutual Fund Outperformance Screener

Use this screener datasheet to choose mutual funds that have consistently outperformed a category benchmark over every possible 3,5,7 year periods from April 3rd 2006 to May 2nd 2017. Includes a “how-to-use” video. All equity funds and equity-oriented balanced funds (excluding equity savings funds) have been considered**. The method adopted is based on this report:  A simple way to measure mutual fund performance consistency.

** Rolling returns for some funds could not be calculated. The list of all such funds can be found in the screener file.

Mutual Fund Performance Consistency Score

Rolling returns are a simple way to estimate how consistency a fund has outperformed a benchmark. Three-year rolling returns have been considered. For example, suppose 1000 such 3Y returns are available for the fund and 800 such returns for the benchmark. Here is an example:

icici-focussed-blue-chip-rolling-retuns

We ask how many times has the fund got a better 3Y return than the benchmark. Suppose 500 such fund returns are higher, the performance consistency score is computed as

= 500/800 = 63%.

The minimum of (1000 and 800) = 800 is used in the denominator.

Higher the consistency score, the better the fund has performed with respect to the benchmark.

The simplest way to understand the efficacy of this method is to consider the performance score of well-known poor performers – certain funds from JM Mutual or LIC Nomura  – and check their consistency score. It would be quite low.

I think any score about 60% is reasonable and above 70% quite good. Less than 50% for the 3Y rolling returns is probably a warning sign to monitor closely.

An excel sheet in which funds can be screened for consistency across categories or per category is attached below.  The benchmarks used are as follows.

I have replaced many benchmarks with the Nifty Next 50 as it is much harder to beat even for mid-cap and small-cap funds. More on this tomorrow.

CategoryCategory CodeBenchmark
BankingEQ-BANKBSEBankex-TRI
FMCGEQ-CGBSEfmcg-TRI
InfrastructureEQ-INFRABSEInfra-TRI
InternationalEQ-INTLNifty Next 50 (new)
ITEQ-ITBSEIT-TRI
Large capEQ-LCBSELargeCap-TRI
Mid-capEQ-MCNifty Next 50 (new)
Multi-capEQ-MLCNifty Next 50 (new)
OthersEQ-OTHNifty Next 50 (new)
PharmaEQ-PHBSEhealthcare-TRI
Small CapEQ-SCNifty Next 50 (new)
ELSSEQ-TPNifty Next 50 (new)
BalancedBalancedBSE Balanced Index

Using the Mutual Fund Screener

The screener sheet in the file contains all entries. To display only one or two categories, the user can click on the grey square (red oval below), then uncheck “select all: and then select the categories required. The screener is easy to use with Excel’s data filters.

mutual-fund-screener

If the no of rolling return entries is less than 500 then the fund is quite young to be judged. Higher the entries, the better.

Select a cut off for the consistency score: Above 60% or above 70% as mentioned above and check the funds which have done well. You can use this in combination with the Sep 2016 returns listing.

User Guide

You can view additional guides for

How to select an equity mutual fund in 30 minutes

based on the Mutual Fund Screener Version 6.0 and Freefincal Mutual Fund Screener with SIP Returns and the  freefincal Excel Stock Screener here:

User Guide: how to use the freefincal mutual fund and stock screeners

Do let me know if you any feedback to make this better.

UPDATE: Ankit Jain has pointed out an error in the calculation with Nifty Next 50. I have updatedthe results.

Download the May 2017 Mutual Fund Performance Consistency Screener file

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5 thoughts on “May 2017 Equity Mutual Fund Outperformance Screener

  1. Dear Sir,

    Thank you for sharing us the screener to evaluate the fund performance. However, I think if we have fund returns along with the consistency score, the screener will be one stop for all need. For eg, if there are 2 funds, both of them not outperformed the index, but in case of 1st fund it has very narrow gap when compre with 2nd fund.

    But as per the screener both of them have 0% consistency score.

    1. Ankit Jain pointed out an error in the file. I will post the modified file today. Apologies.

Do let us know what you think about the article