What is Factor Investing?

  • Factors are proven characteristics, such as momentum, quality, or value, that influence how stocks perform over time.
  • Factor investing uses these traits to build smarter, data-backed portfolios that aim to grow and withstand market ups and downs.
  • Common factors include Momentum (recent winners), Low Volatility (relatively stable performers), Quality (strong fundamentals), Value (undervalued picks), and Size (smaller companies with high growth potential).
  • Since different factors perform better at different points in the market cycle, combining them can help enhance return potential and manage risk.
Low Volatility

Why Consider Multi-Factor Investing?

Different Factors Win
in Different Market
Cycles

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Year-on-Year Factor
Performance Isn’t
Consistent

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A Multi-Factor
Strategy Brings
Balance

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#1 Different Factors Win in Different Market Cycles

No single factor leads across all market conditions. Momentum tends to shine in bull runs, value in recoveries, quality during contractions, and low volatility in downturns.

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Source: NSE, BSE. The following indices are used - Momentum- Nifty 500 Momentum 50 TRI, Low Volatility- Nifty 500 Low Volatility 50 TRI, Quality- Nifty 500 Quality 50 TRI and Value- Nifty 500 Value 50 TRI. Performance results may have inherent limitations, and no representation is made that any investor will or is likely to achieve. Past performance may or may not be sustained in the future. TRI: Total Return Index. Above mentioned returns are absolute in nature.

#2 Year-on-Year Factor Performance Isn’t Consistent

Factor leadership changes with market conditions; no single factor outperforms every year. Relying on one factor requires conviction and timing, which can be difficult to sustain.

table image
Source: NSE, BSE. The following indices are used- Momentum- Nifty 500 Momentum 50 TRI, Low Volatility- Nifty 500 Low Volatility 50 TRI, Quality- Nifty 500 Quality 50 TRI and Value- Nifty 500 Value 50 TRI. Performance results may have inherent limitations, and no representation is made that any investor will or is likely to achieve. Past performance may or may not be sustained in the future. TRI: Total Return Index. Above mentioned returns are absolute in nature. *CYTD- till 31st May 2025

#3 A Multi-Factor Strategy Brings Balance

Bandhan’s multi-factor strategy is a data-backed investment approach that blends multiple core factors – momentum, value, quality, and low volatility – into a single portfolio. By combining factors that perform differently across market environments, it aims to mitigate single-factor risk and enhance overall risk-adjusted returns.

Low Volatility

Momentum

Quality

Value

Source: MSCI Disclaimer: For Illustration only

Why Invest in Bandhan Multi-Factor Fund?

Robust Portfolio Built on Multiple Factors

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Strong Back-Tested
Model Performance

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Outperformance Over
Broad-Based Indices

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Dynamic Allocation
Based on Market
Phase

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#1 Robust Portfolio Built on Multiple Factors

Blends four time-tested factors, momentum, value, quality, and low volatility, into one strategy. Each factor plays a distinct role, aiming to reduce single-factor risk and enhance portfolio resilience. The fund will predominantly invest in large and mid-cap stocks.

How the Portfolio is Constructed

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Universe

Primary focus on top 250 companies across large and mid-cap segments

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Factor Scoring

Every stock is scored based on Momentum, Value, Low Volatility, and Quality factors

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Factor Selection

Identify and shortlist the most effective factor combinations based on their scores

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Stock Scoring

Compute final score for each stocks across the shortlisted factors

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Portfolio Construction

Build a portfolio of around 50-65 stocks, weighted by its score and risk management framework

Portfolio rebalancing will be done monthly by the investment team.

#2 Strong Back-Tested Model Performance

The model portfolio has delivered ~9.2x returns since 1 Jan 2015, outperforming individual factor portfolios over the same period.

table image
Past performance may or may not be sustained in the future. Source: NSE, BSE. The following indices are used- Momentum- Nifty 500 Momentum 50 TRI, Low Volatility- Nifty 500 Low Volatility 50 TRI, Quality- Nifty 500 Quality 50 TRI and Value- Nifty 500 Value 50 TRI. Performance results may have inherent limitations, and no representation is made that any investor will or is likely to achieve. The factor allocation model has been back tested since 1-Jan-2015 till 31st May 2025. The model is adaptive in nature as it is updated with incoming data. The performance of the internal model does not represent the performance of the scheme. Actual allocation and investing experience may vary. Portfolio will be managed as per the stated investment objective, investment strategy, asset allocation in the scheme information document (SID) and is subject to the changes within the provisions of the SID of the scheme. The illustrations of in-house proprietary factor model are for understanding the working of the model. TRI: Total Return Index.

#3 Outperformance Over Broad-Based Indices

Historically, the model has shown better risk-adjusted returns than broad-based market indices and category averages.

table image
Past performance may or may not be sustained in the future. Source: NSE, BSE, MFI. The following indices are used- Momentum- Nifty 500 Momentum 50 TRI, Low Volatility- Nifty 500 Low Volatility 50 TRI, Quality- Nifty 500 Quality 50 TRI and Value- Nifty 500 Value 50 TRI. Performance results may have inherent limitations, and no representation is made that any investor will or is likely to achieve. The factor allocation model has been back tested since 1-Jan-2015 till 31-May-2025. The model is adaptive in nature as it is updated with incoming data. The performance of the internal model does not represent the performance of the scheme. Actual allocation and investing experience may vary. Portfolio will be managed as per the stated investment objective, investment strategy, asset allocation in the scheme information document (SID) and is subject to the changes within the provisions of the SID of the scheme. The illustrations of in-house proprietary factor model are for understanding the working of the model. Category average returns have been calculated using direct plans. TRI: Total Return Index. Above mentioned returns are absolute in nature.

#4 Dynamic Allocation Based on Market Phase

Factor weights are dynamic, and the portfolio is rebalanced monthly based on market trends.

table image
Note: The factor allocation model’s factor rotation has been back tested since 1-Jan-2014 till 31-May-2025. The model is adaptive in nature as it is updated with incoming data. The performance of the internal model does not represent the performance of the scheme. Actual allocation and investing experience may vary. Portfolio will be managed as per the stated investment objective, investment strategy, asset allocation in the scheme information document (SID) and is subject to the changes within the provisions of the SID of the scheme. Past performance may or may not sustain in future.

Who Should Consider This Fund?

Investors looking for a differentiated, strategy-led approach to equity investing

Those seeking exposure to large- and mid-cap stocks

Investors aiming for potentially better risk-adjusted returns through a disciplined, factor-based strategy

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Make an informed decision. Learn more about investing in Bandhan Multi-Factor Fund

Fund Facts

Type of Scheme

An open ended equity scheme investing based on an adaptive and evolving multi-factor quantitative model theme

Fund Managers

Mr. Rishi Sharma
Mr. Brijesh Shah

Benchmark

BSE 200 TRI

NFO Period

10th July 2025 to 24th July 2025

Plans/Options

Regular/Direct Plan: Growth Option,IDCW Option

Exit Load

  • If redeemed / switched out within 30 days from the date of allotment: 0.50% of the applicable NAV
  • If redeemed / switched out after 30 days from date of allotment – Nil

Minimum Investment

During New Fund Offer
₹ 1,000
And in multiples of Rs. 1/- thereafter

Investment Objective

The scheme seeks to generate medium to long term capital appreciation by investing predominantly in equity and equity related instruments selected based on a quantitative model.

Disclaimer: There is no assurance or guarantee that the scheme’s objectives will be realized.

Fund Manager

Rishi Sharma

Rishi Sharma

Vice President - Equities
Bandhan AMC Limited
February 2023 - Present

Mr. Rishi Sharma joined Bandhan AMC with a total experience of over 20 years. In his current role, he is responsible for fund management activity under the mutual fund business of the AMC. Prior to this, he was responsible for equity research and dealing activities in the Portfolio Management Services (PMS) division of the AMC and subsequently with effect from September 7, 2023, he was responsible for managing the Vedartha Neo Equity Portfolio (erstwhile known as Bandhan Neo Equity Portfolio).

Prior to joining Bandhan AMC, Mr. Sharma was associated with NJ Asset Management from July 2020 – December 2022 as General Manager for Research & Fund Management in Mutual Fund – equities. Before that, he was also associated with Ashvattha Advisors LLP from Aug 2014 – April 2020 as Managing Partner in Equity and derivative research and advisory. His prior associations also include IIFL where he was responsible for Investment and Trading in all asset classes.

Mr. Sharma has completed his B Com from the MS University in Vadodara and holds a PGDBA in Finance from IES Management College, Mumbai.

Product info

Bandhan Multi-Factor Fund

(An open ended equity scheme investing based on an adaptive and evolving multi-factor quantitative model theme)

This product is suitable for investors who are seeking*:

  • To create wealth over a long term.
  • Investment predominantly in equity and equity related instruments based on an adaptive and evolving multi-factor quantitative model.

*Investors should consult their financial advisers if in doubt about whether the product is suitable for them.

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