A BND
BND 100% BND vs AGG ETF Comparison
Set your investment period and amount to compare the returns, growth and risk of two ETFs.
B AGG
AGG 100% Data as of 2026-10-23
Key comparison
Compare growth, loss risk, and cost in the same rows first.
| Portfolio A · BND 100% | Portfolio B · AGG 100% |
|---|---|
CAGR +1.7% | CAGR +1.7% |
Final Balance $12,048 | Final Balance $12,041 |
Volatility +5.1% | Volatility +5.1% |
MDD · daily -18.6% | MDD · daily -18.4% |
Sharpe Ratio -0.11 | Sharpe Ratio -0.11 |
Weighted expense ratio 0.03% | Weighted expense ratio 0.03% |
Result summary
BND had the higher CAGR. AGG had the smaller maximum drawdown.
- BND: CAGR 1.74%, daily maximum drawdown -18.58%.
- AGG: CAGR 1.73%, daily maximum drawdown -18.44%.
Key points in this comparison
- The gap in annualized return was 0.01 percentage points and the gap in maximum drawdown 0.1 percentage points, so the two portfolios delivered virtually the same result.
- The monthly-return correlation is 1.00: the two portfolios moved almost in step.
- Across 10 complete calendar years, the lowest return was -13.1% in 2022 for BND and -13.0% in 2022 for AGG.
Period & basis
2016-01-04 – 2026-10-23
Historical results for this period.Cumulative performance
Compare growth paths and cumulative returns over the same period.
Portfolio value
Compare portfolio value and cumulative contributions on the same dates.
| ETF | Total Return | CAGR | Total invested |
|---|---|---|---|
| A | +20.5% | +1.7% | 10000 |
| B | +20.4% | +1.7% | 10000 |
Risk and recovery
Compare the volatility taken for return with the loss path investors actually experienced.
Risk vs Return
Lower-left is safer, upper-right is higher risk/reward. Ideal: upper-left.
| Compared portfolios | CAGR | Volatility (Ann.) | Sharpe Ratio | MDD · daily |
|---|---|---|---|---|
| A | 1.74% | 5.11% | -0.11 | -18.58% |
| B | 1.73% | 5.1% | -0.11 | -18.44% |
Drawdown paths
Compare how far each portfolio's daily closing value fell from its prior peak over the same period.
| Compared portfolios | MDD · daily |
|---|---|
| A | -18.58 |
| B | -18.44 |
Returns and major declines
Compare annual returns and daily peak, trough, and recovery dates.
Annual Returns Comparison
Check consistency across annual, quarterly, decade, and rolling windows.
| Metric | A | B |
|---|---|---|
| 2026· Partial year | -2.7% | -2.8% |
| 2025 | +7.1% | +7.2% |
| 2024 | +1.4% | +1.3% |
| 2023 | +5.7% | +5.7% |
| 2022 | -13.1% | -13.0% |
| 2021 | -1.9% | -1.8% |
| 2020 | +7.7% | +7.5% |
| 2019 | +8.8% | +8.4% |
| 2018 | -0.1% | +0.3% |
| 2017 | +3.6% | +3.5% |
| 2016 | +2.5% | +2.4% |
Worst Drawdown Periods
| Peak date | Trough date | Recovery date | Drawdown |
|---|---|---|---|
| 2020-08-06 | 2022-10-20 | Ongoing | -18.6% |
| 2020-03-06 | 2020-03-12 | 2020-05-21 | -8.7% |
| 2016-07-08 | 2016-12-15 | 2017-09-05 | -4.8% |
| Peak date | Trough date | Recovery date | Drawdown |
|---|---|---|---|
| 2020-08-04 | 2022-10-20 | Ongoing | -18.4% |
| 2020-03-06 | 2020-03-18 | 2020-05-21 | -9.6% |
| 2016-07-08 | 2016-12-15 | 2017-08-31 | -4.5% |
Stress Test: Market Crashes
Return of each ETF during major historical market drawdown events| Event | A | B |
|---|---|---|
| Q4 2018 Selloff | +1.3% | +1.6% |
| COVID-19 Crash | -1.4% | -1.3% |
| 2022 Rate Hike Bear Market | -14.5% | -14.4% |
Risk and recovery
Review drawdowns, downside risk, volatility regimes, and recovery speed.
| Portfolio A | Portfolio B |
|---|---|
Holdings 1 | Holdings 1 |
Effective holdings 1.00 | Effective holdings 1.00 |
Largest weight +100.0% | Largest weight +100.0% |
Weighted dividend yield 4.13% | Weighted dividend yield 4.13% |
Monthly observations 129 | Monthly observations 129 |
MDD · month-end -17.3% | MDD · month-end -17.1% |
Downside deviation +1.0% | Downside deviation +1.0% |
Worst Year -13.1% | Worst Year -13.0% |
Longest drawdown 2,269 days | Longest drawdown 2,271 days |
Average recovery 86 days | Average recovery 79 days |
Ulcer Index +6.6% | Ulcer Index +6.4% |
Pain Index +4.4% | Pain Index +4.2% |
Historical VaR 95% +2.5% | Historical VaR 95% +2.6% |
CVaR 95% +3.1% | CVaR 95% +3.1% |
Effective holdings measures weight concentration. It does not represent overlap among the ETFs' underlying holdings.
Risk-adjusted and benchmark
Compare excess return, sensitivity, and tracking behavior against the same benchmark.
| Portfolio A | Portfolio B |
|---|---|
Sortino -0.15 | Sortino -0.15 |
Calmar · 3Y month-end 0.90 | Calmar · 3Y month-end 0.89 |
Omega ratio 1.29 | Omega ratio 1.29 |
Martin ratio 0.27 | Martin ratio 0.27 |
Excess Return -13.0% | Excess Return -13.0% |
Alpha -2.4% | Alpha -2.2% |
Information ratio -0.98 | Information ratio -0.96 |
Beta 0.14 | Beta 0.13 |
Tracking error +13.7% | Tracking error +13.9% |
Benchmark correlation 0.42 | Benchmark correlation 0.38 |
Up Capture +11.5% | Up Capture +11.1% |
Down Capture +19.7% | Down Capture +18.5% |
Period consistency
Check consistency across annual, quarterly, decade, and rolling windows.
| Portfolio A | Portfolio B |
|---|---|
Total Return +20.5% | Total Return +20.4% |
Win Rate +55.8% | Win Rate +55.8% |
Best Year +8.8% | Best Year +8.4% |
Gain/Loss Ratio 1.02 | Gain/Loss Ratio 1.03 |
1-year rolling minimum -15.6% | 1-year rolling minimum -15.6% |
1-year positive windows +63.6% | 1-year positive windows +64.4% |
3-year rolling minimum -5.5% | 3-year rolling minimum -5.5% |
3-year positive windows +64.9% | 3-year positive windows +63.8% |
5-year rolling minimum -1.1% | 5-year rolling minimum -1.1% |
5-year positive windows +62.9% | 5-year positive windows +61.4% |
10-year rolling minimum +1.1% | 10-year rolling minimum +1.1% |
10-year positive windows +100.0% | 10-year positive windows +100.0% |
1-year rolling Sharpe minimum -2.61 | 1-year rolling Sharpe minimum -2.58 |
1-year rolling Sharpe average 0.04 | 1-year rolling Sharpe average 0.07 |
1-year rolling Sharpe maximum 2.52 | 1-year rolling Sharpe maximum 2.35 |
Period return comparison
Check consistency across annual, quarterly, decade, and rolling windows.
| Metric | A | B |
|---|---|---|
| 2026 Q4 | +1.9% | +1.9% |
| 2026 Q3 | -3.5% | -3.5% |
| 2026 Q2 | +0.7% | +0.7% |
| 2026 Q1 | +0.1% | +0.0% |
| 2025 Q4 | +0.9% | +0.9% |
| 2025 Q3 | +2.0% | +2.1% |
| 2025 Q2 | +1.2% | +1.3% |
| 2025 Q1 | +2.8% | +2.7% |
| 2024 Q4 | -3.1% | -3.1% |
| 2024 Q3 | +5.2% | +5.3% |
| 2024 Q2 | +0.1% | +0.0% |
| 2024 Q1 | -0.7% | -0.7% |
| 2023 Q4 | +6.6% | +6.7% |
| 2023 Q3 | -3.2% | -3.2% |
| 2023 Q2 | -0.8% | -0.9% |
| 2023 Q1 | +3.2% | +3.2% |
| 2022 Q4 | +1.6% | +1.6% |
| 2022 Q3 | -4.6% | -4.7% |
| 2022 Q2 | -4.8% | -4.6% |
| 2022 Q1 | -5.8% | -5.8% |
| 2021 Q4 | +0.0% | -0.1% |
| 2021 Q3 | +0.0% | +0.0% |
| 2021 Q2 | +1.9% | +1.8% |
| 2021 Q1 | -3.6% | -3.4% |
| 2020 Q4 | +0.8% | +0.7% |
| 2020 Q3 | +0.4% | +0.4% |
| 2020 Q2 | +4.1% | +3.1% |
| 2020 Q1 | +2.2% | +3.1% |
| 2019 Q4 | +0.2% | +0.1% |
| 2019 Q3 | +2.3% | +2.3% |
| 2019 Q2 | +3.1% | +2.8% |
| 2019 Q1 | +3.0% | +2.9% |
| 2018 Q4 | +1.6% | +2.1% |
| 2018 Q3 | +0.1% | -0.1% |
| 2018 Q2 | -0.2% | -0.2% |
| 2018 Q1 | -1.6% | -1.5% |
| 2017 Q4 | +0.4% | +0.4% |
| 2017 Q3 | +0.8% | +0.7% |
| 2017 Q2 | +1.6% | +1.6% |
| 2017 Q1 | +0.8% | +0.8% |
| 2016 Q4 | -3.2% | -3.1% |
| 2016 Q3 | +0.4% | +0.4% |
| 2016 Q2 | +2.4% | +2.2% |
| 2016 Q1 | +3.0% | +3.0% |
| Metric | A | B |
|---|---|---|
| 2020s | +0.6% | +0.6% |
| 2010s | +3.7% | +3.6% |
Return characteristics
Compare monthly distributions, momentum, asymmetry, and seasonality.
| Portfolio A | Portfolio B |
|---|---|
Skewness -0.10 | Skewness -0.09 |
Excess kurtosis 0.82 | Excess kurtosis 0.94 |
Longest winning streak 5 | Longest winning streak 7 |
Longest losing streak 6 | Longest losing streak 6 |
Average monthly return +0.1% | Average monthly return +0.1% |
Monthly return autocorrelation -0.00 | Monthly return autocorrelation 0.01 |
1M momentum -2.5% | 1M momentum -2.6% |
3M momentum -3.5% | 3M momentum -3.5% |
6M momentum -2.8% | 6M momentum -2.8% |
12M momentum -1.9% | 12M momentum -1.9% |
Worst 5% -2.5% | Worst 5% -2.6% |
Median +0.2% | Median +0.2% |
Best 5% +2.5% | Best 5% +2.5% |
- ETF2 Up / ETF1 Down
- 3
- Both Up
- 70
- Both Down
- 54
- ETF1 Up / ETF2 Down
- 3
- Total
- 130 months
Questions about these results
How did the same initial investment grow?
From 2016-01-04 to 2026-10-23, an initial $10,000 ended at $12,048 for BND and $12,041 for AGG. Annualized returns were 1.74% and 1.73%, respectively.
When were the deepest drawdowns and recoveries?
BND: peak 2020-08-06, trough 2022-10-20, drawdown -18.6%, recovery Ongoing. AGG: peak 2020-08-04, trough 2022-10-20, drawdown -18.4%, recovery Ongoing.
How did the results differ during market crises?
During Q4 2018 Selloff, returns were 1.3% for BND and 1.6% for AGG. During 2022 Rate Hike Bear Market, returns were -14.5% for BND and -14.4% for AGG.
What are the expense ratios and annual costs?
Weighted expense ratios are 0.03% for BND and 0.03% for AGG. Applied to the initial $10,000, estimated annual costs are $3 and $3. Both weighted expense ratios are the same.
What are the dividend yields and their basis?
The yields are 4.13% for BND and 4.13% for AGG. They use distributions from the last 365 days divided by the last closing price and do not predict future distributions.