Edelweiss Balanced Advantage Fund

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Fund Overview

Edelweiss Balanced Advantage Fund — Quick Summary

Edelweiss Balanced Advantage Fund is the hidden gem of the BAF category. Despite a smaller AUM of ₹13,239 Cr compared to HDFC or ICICI Pru, it has one of the strongest long-term rolling return records among all BAFs. Launched in August 2009, it uses a quantitative multi-factor model combining PE, PB, dividend yield and earnings growth to dynamically shift allocation. The 0.51% expense ratio is among the lowest in category — and compounding this cost advantage over 15-20 years is significant.

Fund House

₹13,239

✓ Suitable For

✓Cost-conscious investors — 0.51% expense ratio among lowest in BAF category

✓Investors who want consistent rolling returns — over 5-10 years backed by data

✓Those comfortable with a smaller AMC — for better performance-to-cost ratio

✓Quantitative approach believers — rules-based model with no manager discretion or bias

✗ Not Suitable For

✗Investors who only trust large AMCs — like HDFC or ICICI Pru for psychological comfort

✗Those wanting massive AUM — for perceived safety in numbers

✗Short-term investors — with less than 3 year horizon

✗Anyone needing guaranteed or FD-like returns — this is still market-linked

Performance

Returns vs Benchmark

1 Month

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BAF Index: —

3 Month

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BAF Index: —

6 Month

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BAF Index: —

1 Year

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BAF Index: —

3 Year CAGR

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BAF Index: —

5 Year CAGR

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BAF Index: —

10 Year CAGR

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BAF Index: —

Since Inception

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Since August 2009

Price History

NAV History

Consistency Analysis

Rolling Returns ℹ️ What is this?

Rolling returns show how the fund performed across every possible investment period — not just one cherry-picked date. This reveals true consistency. Learn more →

1Y Rolling (Avg)

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% of times positive: —

3Y Rolling (Avg)

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% of times positive: —

5Y Rolling (Avg)

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% of times positive: —

1-Year Rolling Returns Each point = 1yr return from that date

Risk Analysis

Maximum Drawdown ℹ️ What is this?

Drawdown shows the biggest fall from peak NAV. This is what investors actually experience during market crashes. Learn more →

Max Drawdown Ever

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Recovery time: —

2020 Covid Crash

-40.2%

Recovery: 14 months

2018 IL&FS Crisis

-28.6%

Recovery: 24 months

Current from Peak

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Peak NAV: —

Drawdown Chart % fall from rolling peak NAV

Valuation Signal

NAV vs 200-Day Moving Average

When NAV is above 200 DMA, the fund is in an uptrend. When below, it signals caution. Many investors use this as a simple entry/exit signal.

Current NAV

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200 DMA

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NAV vs DMA

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NAV vs 200 DMA

Risk Metrics

Risk Ratios

Alpha (3Y)

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Excess return over benchmark. Higher is better.

Beta (3Y)

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Volatility vs market. >1 means more volatile.

Sharpe Ratio

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Return per unit of risk. >1 is considered good.

Sortino Ratio

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Like Sharpe but only penalises downside risk.

Std Deviation

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How much returns fluctuate. Lower = more stable.

R-Squared

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How closely it tracks the benchmark index.

Dynamic Allocation

How BAF Allocation Works

Unlike equity funds with fixed portfolios, BAFs dynamically change their equity-debt mix. The equity allocation shifts based on market valuation signals — automatically doing what most investors struggle to do manually.

When Markets Are Cheap

80%

Equity Allocation

When Markets Are Expensive

40%

Equity Allocation

Arbitrage Portion

Equity

Tax Treatment

Valuation Signal Used

PE / PB

Primary Model Input

Benchmark Comparison

Fund vs Nifty 50 Hybrid Composite 50:50 Index

₹1 Lakh invested — Growth comparison

Who Runs This Fund

Fund Manager

BJ

Bhavesh Jain & Rahul Dedhia

Fund Managers, Edelweiss Mutual Fund

Managing Since

2015

Experience

18+ Years

Funds Managed

2 Funds

Total AUM

₹15,000 Cr+

Bhavesh Jain manages the equity and derivatives portion with expertise in quantitative strategies. Rahul Dedhia handles debt allocation. The team manages through a systematic, rules-based multi-factor model that minimises emotional decision-making and relies on composite valuation signals.

Fund History

Key Moments in Fund's Life

August 2009

🚀 Fund Launch

Launched during the post-global financial crisis recovery. Started as a balanced fund before the formal BAF category existed. Early investors experienced the 2009 recovery from a well-positioned portfolio.

2013

⚡ Direct Plan Launch

Direct plan launched with the low 0.51% expense ratio — a significant advantage for long-term compounders. This rate has remained competitive ever since.

2015

👥 Current Team Takes Over

Bhavesh Jain and team refined the multi-factor quantitative model — combining PE, PB, dividend yield and momentum signals into one composite valuation score.

2018

📋 SEBI Recategorisation

Formally becomes a Balanced Advantage / Dynamic Asset Allocation fund. Model refined to meet the category's flexible equity-debt mandate.

2020

🔄 COVID Test

The model had reduced equity pre-COVID as valuations were expensive. Equity was increased aggressively at COVID lows — capturing strong recovery returns.

2022–24

🏆 Consistent Top Quartile

Rolling return analysis consistently shows Edelweiss BAF in the top quartile of the category over 5-year periods — remarkable for a smaller AMC that many investors overlook.

What They Don't Tell You

The Dark Chapters

Every fund has painful periods. Here's an honest look at difficult periods for this fund — because understanding this is crucial before investing.

Brand Recognition Gap

Edelweiss Is Not HDFC or ICICI — Fair or Not

Many investors overlook Edelweiss BAF because the AMC is smaller. The data shows strong performance but brand bias is real. Investors may be missing a genuinely good fund purely because of name recognition — not numbers.

Underrated fund

Quantitative Model Risk

What If Historical Patterns Break Down?

All quantitative models have regime risks — scenarios where historical relationships stop working. In a genuinely novel market environment the model may not signal correctly in time. No system is perfect across all possible futures.

Model regime risk

2009 Launch — Born Into Recovery

Early Investors Saw Volatility First

Launched in August 2009, the fund started just as the global crisis aftermath was playing out. Early investors experienced sharp volatility. The team's model was partly refined due to these early lessons.

Early volatility

AUM vs Perception

₹13,000 Cr vs ₹1,06,000 Cr — The Gap

While smaller AUM is actually an advantage for performance nimbleness, many investors equate large AUM with quality. Edelweiss BAF constantly battles this perception despite strong actual numbers.

Perception vs data

⚠️ Educational Disclaimer: The dark chapters above are for educational awareness only. Past difficulties do not predict future performance. RightAdvise.com is NOT registered with SEBI or AMFI. Please consult a qualified financial advisor before investing.

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