Saturday, 4 July 2026

Nifty Valuation Tracker Series: June 2026 Update – Broad Market and Smart Beta Indices

Nifty Valuation Tracker Series: June 2026 Update – Broad Market and Smart Beta Indices 04Jul2026 

 

 


(This is my 523rd blog since 2010. Over the years, I have covered global financial markets, with a focus on India, and continue to share insights to help readers understand complex topics in simple language.

The views expressed here are for information purposes only and should not be construed as a recommendation or investment advice. While the author is a CFA Charterholder with nearly 25 years of experience in financial markets, this content is intended to share general insights and does not constitute financial guidance. 

Please consult your financial adviser before taking any investment decision. Safe to assume the author has a vested interest in stocks / investments discussed if any.) 

  

Introduction

Every investor wants to know whether the market is expensive or inexpensive. There is no perfect answer. However, comparing today's valuations with their own history provides a useful starting point.

This blog is the third part of the updated valuation framework for select NSE indices numbering six, building on earlier studies published:

1) On 21Apr2026 namely “How Valuations Shape Returns and Risk in Select NSE Indices,”

2) On 03May2026 namely “Valuation Changes in Broad Market and Smart Beta Nifty Indices," and 

3) On 31May2026 namely "Nifty Valuation Tracker Series: May 2026 Update – Broad Market and Smart Beta Indices"

This study focuses on current valuation positioning within a historical range. Summary data of all six Nifty indices are included as 'Additional data' at the end of the blog for ready reference of readers. 

The analysis compares current levels (as of 30Jun2026) against a 22-quarter baseline from Mar2021 to Jun2026 across six Nifty indices. 

It uses percentile-based positioning of PE, PB and dividend yield to assess whether valuations are relatively rich or attractive across segments.

It is not a prediction of future market returns. It is simply a framework to understand where valuations stand today. This is not investment advice.

Note: The idea is to update this 22-quarter framework each quarter as new data become available. For example, inclusion of the Jul-Sep2026 quarter will extend the dataset to 23 quarters in the next update, maintaining a rolling historical reference.


(article continues below) 

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Related blogs:

"Nifty Valuation Tracker Series: May 2026 Update – Broad Market and Smart Beta Indices" 31May2026 

Valuation Changes in Broad Market and Smart Beta Nifty Indices” 03May2026

How Valuations Shape Returns and Risk in Select NSE Indices” 21Apr2026 

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Why valuations matter

Valuations tell us how much investors are willing to pay for a company's earnings or assets.

A lower valuation does not guarantee better future returns. An expensive market can become even more expensive. Likewise, a cheap market can become cheaper.

Even so, valuations often help investors judge whether optimism or caution is already reflected in prices.

About this study:

The study covers the period from Mar2021 to Jun2026, a total of 22 quarters.

The analysis starts from Mar2021 because the method used to calculate Nifty 50 earnings per share changed at that point. Using only the newer data makes the historical comparisons consistent.

The study covers six selected Nifty indices, three broad and three "smart beta" indices. It is not a comprehensive study of the Indian equity market.

Indices covered are: 

Nifty 50, 
Nifty Midcap 150, 
Nifty Smallcap 250, 
Nifty 100 Low Volatility 30, 
Nifty 200 Momentum 30, and 
Nifty 200 Quality 30.

How to read the numbers:

Three valuation measures are used.

PE ratio compares price with earnings per share (EPS).

PB ratio compares price with book value.

Dividend yield usually moves in the opposite direction to valuations. A higher dividend yield often indicates a lower valuation.

The charts also show where the current valuation lies within its own historical range. A reading below the 25th percentile suggests valuations are relatively low compared with the past 22 quarters. A reading above the 75th percentile suggests valuations are relatively high.

No single measure should be used on its own. Looking at all three provides a more balanced picture.

Data note: The valuation measures are taken from Nifty Indices data. PE and PB ratios and dividend yield may not be updated at the same frequency because they depend on different underlying data

Readers should therefore view the three measures as broad indicators rather than precise real-time measures. 

 

Charts showing current valuation (Jun2026) versus historical range (22 quarter data from Mar2021 to Jun2026) of six select Nifty indices >

Click on the charts to view better >


 



2 What do the current valuations say? 

Broader Indices:

Among the broad market indices, Nifty 50 appears the least expensive. Both its PE and PB ratios are below the 25th percentile of their historical ranges. Dividend yield is also close to its historical median.

In fact, for Nifty 50, 1-year return (-5.4%), 3-year annualised return (8.8%) and 5-year annualised return (10%) are the lowest in the past 22 quarters. 

Nifty Midcap 150 sends mixed signals. Its PE ratio is below the historical median, suggesting reasonable valuations. However, its PB ratio is above the 75th percentile, indicating investors continue to pay a premium for net assets.

Dividend yield for Nifty Midcap 150, at 0.66 per cent, is the lowest since Mar2021. 

Nifty Smallcap 250 remains the most expensive broad market segment. Its PE ratio is above the 75th percentile, while its PB ratio is close to that level. Investors continue to place a high valuation on smaller companies.

Contrast between Nifty 50 and Nifty Midcap 150 

One could add Nifty 50 is cheap for a reason, its implied earnings contribution during 31Mar2026-30Jun2026 is just 2.5 per cent. This is way lower than implied earnings contribution of 22.1 per cent for Nifty Midcap 150 during the same period. 

That is a genuine earnings-led move in Midcap index, not a sentiment one (Check Section 3, with Chart showing PE and PB Expansion versus Index Returns from 31Mar2026 to 30Jun2026 for data). 

 

Smart Beta Indices:

Among the so-called smart beta indices, Nifty 100 Low Volatility 30 looks relatively inexpensive. Its PE ratio is below the 25th percentile and its PB ratio is at the lowest level seen during the study period. Its 3-year and 5-year returns are the lowest in the past 22 quarters. 

Nifty 200 Momentum 30 still trades at relatively rich valuations. Both PE and PB ratios remain above their historical median.

Nifty 200 Quality 30 is somewhere in between. Its PE ratio is close to the 25th percentile, while its PB ratio is near its historical median.

Dividend yield: A point worth noting

Dividend yields declined across all six Nifty indices during the Jun2026 quarter (except momentum). This may reflect a combination of rising share prices and changing corporate payout policies. Many companies have increasingly used share buybacks alongside, or instead of, larger cash dividends.

Readers interested in the subject may refer to my earlier article (Why Share Buybacks Are Making A Comeback In India 22Jun2026 ) on the growing use of share buybacks.

 

3 What changed during the June 2026 quarter? 

Valuations moved differently across the market.

Nifty 50 became modestly more expensive, mainly because its PE ratio increased.

Mid-cap stocks became slightly cheaper on a PE basis but more expensive on a PB basis.

Small-cap stocks experienced the largest increase in valuations, with both PE and PB ratios rising sharply.

Low Volatility became marginally cheaper.

Momentum became noticeably more expensive.

Quality changed very little during the quarter.

These changes remind us that different parts of the market can move in very different ways, even over a single quarter.

 

Chart showing valuation changes in six Nifty indices between end-Mar2026 and end-Jun2026 >

Click on the chart to view better >

 

Caveat: Valuation Changes (see chart immediately above) Are Not Directly Comparable Across All Indices for the period Mar2026 through Jun2026:

Nifty 50: No rebalance occurred between Mar2026 and Jun2026, so the valuation changes, in PE, PB and dividend yield, largely reflect genuine market re-rating of substantially the same large-cap stocks.

Nifty Midcap 150: Also not rebalanced during the period, making the changes mostly representative of how the same mid-cap universe was repriced by the market.

Nifty Smallcap 250: Likewise, no rebalance took place. The sharp rise in PE therefore mainly reflects significant valuation expansion within the existing small-cap universe.

Nifty 100 Low Volatility 30: Quarterly rebalancing in Jun2026 means the valuation changes reflect both market movements and changes in constituents and weights, reducing comparability with Mar2026.

Nifty 200 Momentum 30
: The Jun2026 semi-annual rebalance replaced 22 of the 30 stocks (73% turnover) in the index, resulting in major constituent turnover.  

The Mar2026 and Jun2026 indices therefore represent substantially different portfolios, so changes in PE, PB and dividend yield largely reflect portfolio reconstitution rather than pure market re-rating.

Nifty 200 Quality 30: The Jun2026 semi-annual rebalance replaced only one of the 30 stocks (3% turnover). Unlike Momentum 30, the Mar2026 and Jun2026 portfolios remained almost identical, making the valuation changes broadly comparable and largely reflective of market re-pricing rather than constituent turnover.

Overall: For the three broad market indices the March to June change is a clean valuation signal. For Low Volatility, Momentum and Quality, it mixes repricing with constituent change, so treat those comparisons with more care.

 

PE and PB Expansion vs Index Returns:

The chart below shows, for the period Mar2026 through Jun2026, the TRI (total return index) change, trailing PE and PB changes. 

From the data, readers can discern the implied earnings contribution of an index. For example, one could interpret the excess of 7.4% index change over trailing PE change of 4.9% as earnings component (2.5% = 7.4% - 4.9%).

In the case of Nifty Smallcap 250, PE has expanded much faster than earnings growth.  

One could say: 
 
Earnings Component ≈ Price Return − Multiple Expansion.
 

Chart showing PE and PB Expansion versus Index Returns (31Mar2026 – 30Jun2026) > 


 


4 Looking beyond valuations 

Valuations are only one part of the investment picture.

The table below adds historical returns and volatility for the same six indices. This provides useful context.

Midcaps, smallcaps and the Momentum index produced the highest historical returns over one, three and five years. However, they also experienced much higher volatility.

Low Volatility delivered the lowest volatility while still generating competitive long-term returns.

Quality offered returns similar to Nifty 50 but generally traded at much higher valuation multiples, reflecting investors' willingness to pay more for companies with stronger fundamentals.

Nifty 50 delivered lower returns than midcaps and momentum over this period, but with considerably lower volatility.

The broad pattern is familiar. Higher returns have generally come with higher risk.

It is important not to interpret these numbers as proof that higher valuations produce higher returns. They simply describe the experience of these six indices during the study period.

 

Chart showing cross index valuation, risk and return (only median values) >

22 Quarters data from Mar2021 to Jun2026 > 


5 What can investors learn? 

Current valuations suggest the large-cap segment is relatively inexpensive compared with its own recent history.

Smallcaps continue to trade at premium valuations.

Midcaps remain somewhere in between.

Among the smart beta indices, Low Volatility appears reasonably valued, Momentum remains expensive and Quality continues to command a premium despite a recent moderation in valuations.

These observations should not be viewed as buy or sell signals. They simply show where each index stands relative to its own history.

 

6 Shortcomings

This analysis has several limitations.

It covers only six selected Nifty indices.

The historical period is limited to 22 quarters because of the change in Nifty 50 earnings calculations since Mar2021.

The study focuses only on valuations. It does not consider earnings growth, interest rates, liquidity, macroeconomic conditions or investor sentiment.

 

7 Closing thoughts

Valuations are best viewed as a compass rather than a forecast.

They help investors understand where the market stands today, but they cannot predict where the market will go next.

Used alongside earnings, economic data and an investor's own objectives, valuation measures can provide a useful guide to long-term market positioning.

 

Check below for references and additional notes. 

(The author made some alterations on 05Jul2026, like, including the PE / PB expansion chart in section 3 above

 

- - -

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Additional data:

Data note: The valuation measures come from Nifty Indices. PE, PB and dividend yield may not update at the same frequency, because each depends on different underlying data.

The author's best guess is:
 
PE ratios update more often, because NSE India / Nifty Indices appear to refresh EPS as companies declare quarterly and annual results. 

In contrast, PB ratios update less often, because book value is reported half-yearly and yearly, not every quarter for all listed companies in India. It's possible NSE India may be updating book values based on published fiscal year (annual reports) data. 

Dividend yield updates with price daily and with the declared dividend when companies announce it, so its rhythm differs again. 

 

Index rebalancing frequency is as follows:

It is semi annual (March and September) for:

Nifty 50,
Nifty Midcap 150, and
Nifty Smallcap 250, 

For, Nifty 100 Low Volatility 30, it is quarterly (March, June, September, December).

For Nifty 200 Momentum 30 index, it is semi annual (June, December).

For Nifty 200 Quality 30 too, it's semi annual (June, December).

Notes on index weighting:

Nifty 100 Low Volatility 30 index's 'score' weighting is based on inverse of stock's volatility (standard deviation).

Nifty 200 Momentum 30 index's 'tilt' weighting is calculated as stock free float market cap multiplied by its momentum score.

Nifty 200 Quality 30 index's 'tilt' weighting is computed as stock free float market cap multiplied by its quality score.

Chart showing Index Characteristics of six Nifty indices >

 

 

Summary tables for all six indices. Readers may check the data for their own benefit >

 

 

 

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References:
 

Tweet 22Apr2025 Bizarre spike in valuation ratios (PE, PB and dividend yield) of Nifty 200 Momentum 30 index on 31Dec2024 vs previous day) 

Tweet 03Jun2021 - Nifty 50 PE calculation method change wef 31Mar2021

Tweet 01May2024 - Don't compare Nifty PE ratios on or after 31Mar2021 with those in prior periods

Tweet 07Jul2024 - NSE press release on change in Nifty 50 PE calculation method (NSE press release dated 23Feb2021 -- EPS used in PE calcualtion was based on standalone finanacials; from Mar2021, it is based on consolidated basis)

Screenshot of the above >  


 

 
Nifty Return Profile

Nifty Indices factsheets

Nifty 50
Nifty Midcap 150
Nifty Smallcap 250
Nifty 100 Low Volatility 30
Nifty 200 Momentum 30
Nifty 200 Quality 30

NSE Index Dashboard monthly - PDF for Jun2026

NSE Live Analysis - NSE Index performance daily - showing index values and valuation ratios of all Nifty Indices / NSE Indices on a daily basis  

NSE Historical Index yield - Find out daily valuation ratios (PB, PE and dividend yield) of all Nifty indices / NSE indices (dropdown menu)

NSE Market Watch - all indices 

Nifty Indices Index Methodology - Jun2026 PDF for equity indices 

Excel file: NSE Indices Valuation 30Jun26 

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Read more on passive equity funds and factor investing:

Top 10 Equity Indices Powering Passive Investing in India: Big-Picture View  29Jan2026 (Big picture view of Passive Equity Funds - passive funds)  

 
The Next Generation of Market Leaders: A Fresh Look at Nifty Next 50's Corporate Landscape 15Jan2026 (NSE Indices / Nifty Indices) 

NSE's Backtesting Claims Child Indices Beat Parent Indices - But Does It Hold in Real World? 09Dec2025 (incl calendar year returns of Nifty 50, Nifty Midcap 150 and the so-called smart beta indices) (NSE Indices / Nifty Indices)

 
Factor Investing in India: Do "Smart Beta" Indices Outsmart Nifty 50 and Midcap 150? 24Nov2025 (incl trailing returns; calendar year returns of Nifty 50, Nifty Midcap 150 and the so-called smart beta indices) (NSE Indices / Nifty Indices)

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Wednesday, 1 July 2026

Mutual Fund Asset Class Returns 30Jun2026

Mutual Fund Asset Class Returns 30Jun2026 

 

 


(This is my 522nd blog since 2010. Over the years, I have covered global financial markets, with a focus on India, and continue to share insights to help readers understand complex topics in simple language.

The views expressed here are for information purposes only and should not be construed as a recommendation or investment advice. While the author is a CFA Charterholder with nearly 25 years of experience in financial markets, this content is intended to share general insights and does not constitute financial guidance. 

Please consult your financial adviser before taking any investment decision. Safe to assume the author has a vested interest in stocks / investments discussed if any.) 

  

 

This is an update to my earlier blog, published on 15Jan2026, which analysed mutual fund returns up to 31Dec2025. This edition reviews the latest data available as at 30Jun2026.

The analysis covers 21 mutual fund categories across equity, debt, hybrid and commodity (gold and silver) funds. Its main purpose is to identify categories that have delivered similar returns over time. 

This may help investors simplify their portfolios by avoiding unnecessary overlap and choosing a smaller number of categories that can meet their investment objectives.

If two categories have delivered almost identical outcomes over many years, there may be little benefit in holding both, unless they serve different investment objectives or tax purposes. 

 

Analysis continues below 

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Related blogs:

Mutual Fund Asset Class Returns 31Dec2025 (MF categories with similar returns)

Mutual Fund Asset Class Returns 02Jun2025
 
Mutual Fund Asset Class Returns 30Sep2024 
  
Mutual Fund Asset Class Returns 31Mar2024 (MF categories with similar returns)

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1 Trailing returns

The most striking observation is that several seemingly different fund categories have delivered remarkably similar long-term returns.

Aggressive hybrid funds and large cap funds have generated almost identical returns over three, five and ten years. Investors expecting one category to consistently outperform the other would have been disappointed.

Similarly, Flexi Cap and ELSS funds have produced almost the same long-term returns. The principal distinction between them is not performance but taxation. 

ELSS funds qualify for tax deduction under the old tax regime, while Flexi Cap funds offer greater flexibility without a lock-in period.

Among hybrid funds, conservative hybrid and equity savings funds also display very similar return patterns over all periods.

Debt funds exhibit an even stronger convergence. Banking and PSU, corporate bond, floater, gilt and dynamic bond funds have all delivered annualised returns in a fairly narrow range over five and ten years. 

Credit risk funds have earned somewhat higher returns, but investors should remember that these come with higher credit risk.

Likewise, arbitrage funds and liquid funds have produced almost identical long-term returns despite investing in different instruments (they have different tax implications).

The message is straightforward. Many categories that appear different have rewarded investors in much the same way over long periods.

Table 1 showing trailing returns, for various periods, of 21 MF categories >

Category assets are added in the table so that readers can make out how popular a particular category is with the investors. 


 

2 Annual returns 

The annual return table tells a complementary story.

Returns can differ sharply from one year to another, particularly in equity funds. Mid cap and small cap funds have enjoyed spectacular years, followed by periods of weak or negative returns. 

Gold too has alternated between ordinary and exceptional years.

These short-term fluctuations often tempt investors to switch categories in search of the latest winner. However, leadership changes frequently. Yesterday's best performer can easily become tomorrow's laggard.

By contrast, categories with similar long-term returns may look quite different over one or two years. Investors should therefore avoid drawing conclusions from recent performance alone.

Table  showing annual returns (2016 to 2025), for various periods, of 21 MF categories > 

 

 

3 Investment Implications 

Many investors accumulate mutual funds over time, often ending up with six, eight or even ten categories. This creates the appearance of diversification but frequently results in overlap.

If two categories have delivered similar returns over long periods, holding both may add complexity without materially improving expected returns. Investors should instead ensure that each category serves a distinct purpose within the portfolio.

For example, an investor may combine a broad-based equity category such as Flexi Cap or Large Cap with a Mid Cap or Small Cap fund for higher growth potential, a debt category for stability, and perhaps gold for diversification. 

Such a portfolio may achieve the desired asset allocation without spreading investments across numerous categories with similar return characteristics.

This does not mean that one category is always a substitute for another. Tax treatment, investment mandate, volatility and liquidity also matter. 

Nevertheless, return history suggests that investors should first ask whether an additional category genuinely improves the portfolio before adding it.

 

4 Conclusion 

Historical returns cannot predict future performance. However, they can reveal useful patterns.

The data suggest that several mutual fund categories have delivered remarkably similar long-term returns despite differences in labels and investment mandates. Investors may therefore benefit more from selecting a few distinct categories than from holding many overlapping ones.

In investing, simplicity is often an advantage. A portfolio built around a small number of well-chosen categories is generally easier to understand, monitor and rebalance than one containing numerous funds that ultimately deliver similar outcomes.

The analysis is based on historical returns and should not be construed as a prediction of future performance or as investment advice.

Check below for references and additional notes. 

 

- - -

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References:
 
Value Research Mutual Fund Monitor - annual and trailing returns   

Tweet thread 04Jun2025 Gilt funds vs Dynamic Bond funds - comparison of returns and risk parameters, data interpretation, implications of wider range of dynamic bond funds vs narrow range of gilt funds
 
Tweet thread 04Jun2025 Chasing maximum returns, dopamine rush, ending up with sub-optimal returns, wide range of returns 
 
Tweet thread 04Jun2025 Flexi cap vs Large Cap funds - wide range of  returns on a 1-, 3- and 5-years basis
 
Tweet thread 04Jun2025 Aggressive Hybrid vs Equity large cap funds - downside protection, Best & Worst period returns from Value Research, standard deviation range, risk parameters from Morningstar, etc.
 
Tweet thread 03Jun2025 Flexi Cap funds vs Equity Savings funds - Best & Worst period returns - drawdown higher for flexi cap funds 
 
Tweet thread 03Jun2025 Equity Savings funds (hybrid category) vs Dynamic Bond Funds - on a trailing basis over 1- to 10-year periods, Equity Savings funds generated superior returns vs Dynamic Bond funds - standard deviation range from Value Research, data interpretation, etc.
 
Tweet thread 02Jun2025 Conservative Hybrid funds vs Equity Savings funds (both hybrid category) - downside protection, Best & Worst period returns from Value Research, standard deviation range, risk parameters from Morningstar, etc.
 
Tweet thread 02Jun2025 Hybrid mutual funds capital gains taxation
 
Tweet thread 25Dec2024 (new Tweets added in Jun2025 also) Debt mutual funds capital gains taxation - LTCG / STCG tax - gilt funds - dynamic bond funds - liquid funds - 
 
 
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Additional data:

Screenshots of annual and trailing returns from Value Research at at end-30Jun2026 >

 







 

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Screenshots of annual and trailing returns from Value Research at at end-31Mar2026 > 





 

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Related Blogs on Mutual Funds:
 
 

Mutual Fund Asset Class Returns 31Dec2025

Mutual Fund Asset Class Returns 02Jun2025
 
Mutual Fund Asset Class Returns 30Sep2024 
  
Mutual Fund Asset Class Returns 31Mar2024 (MF categories with similar returns)
 
Mutual Fund Asset Class Returns 31Dec2023 
 
Mutual Fund Asset Class Returns 30Sep2023
 
Mutual Fund Asset Class Returns 31Mar2023

Mutual Fund Asset Class Returns 31Dec2022

Mutual Fund Asset Class Returns 30Jun2022

Mutual Fund Asset Class Returns 31Mar2022
 
Mutual Fund Asset Class Returns 31Dec2021

NSE Emerging Indices Fundamentals Comparison 31Dec2025
 
NSE Indices Calendar Year Returns 2006 to 2025  07Jan2026  
 
Factor Investing in India: Do "Smart Beta" Indices Outsmart Nifty 50 and Midcap 150? 24Nov2025
 
Passive Titans of India: The Top 10 Equity Indices by Fund Size 17Jul2025 
 
NSE Indices Fundamentals Comparison 31Dec2024 
 
Arbitrage Funds and Avenues 24Jul2024
 
Rapid Growth is Assets of India's MF Industry 18Jul2024

Mutual Fund Categories with Similar Returns 17Jul2024
 
Side Pocketing Episode of Aditya Birla SL Dynamic Bond Fund 17Jul2024
 
Crux of Kotak Debt Hybrid Fund 15Jul2024

India Fixed Income Data Bank 02Jul2024

The Little Secret Behind Nifty Next 50 Index's Recent Success 13May2024

NSE Indices Calendar Year Returns: 2006 to 2024   05May2024
 
How to Buy Nifty Midcap Index 03May2024 
 
NSE Emerging Indices Comparison 31Mar2024 
 
India Passive Funds and Their Asset Size 29Apr2024   
 
Guide to Tracking Error of Mutual Funds 27Apr2204  
 
Gilt Funds Worth Considering! 14Apr2024
 
Select Gilt Funds Performance 05Mar2024
 
Equity ETFs and Equity Index Funds Compared 05Feb2024
 
Indian Equity ETFs Worth Considering
 
Analysis of Nifty 100 Low Volatility 30 Index
 
Quarterly Data of MF Assets 31Mar2023
 
Understanding Corporate Debt Market Development Fund (CDMDF) 

Negative Impact of Debt Mutual Fund Tax Changes 
 
EPFO Investments in Stocks Via ETFs 
 
NSE Indices (Nifty 50, Nifty Next 50, Nifty 100 and Nifty 500) Comparison 31Dec2022

Why Do Indian Equity MFs Always Disappoint Investors?
 
Indian Mutual Funds and the Art of Ripping off Investors
  
Who is Eating My Gold ETF Return?