UPSD vs. BDBT
UPSD (Aptus Large Cap Upside ETF) and BDBT (Bluemonte Core Bond ETF) are both exchange-traded funds - UPSD is a Actively Managed fund actively managed by Aptus, while BDBT is a Intermediate Core Bond fund managed by Bluemonte. Over the past year, UPSD returned 16.51% vs 3.91% for BDBT. At a 0.35 correlation, their price movements are largely independent. UPSD charges 0.79%/yr vs 0.23%/yr for BDBT.
Performance
UPSD vs. BDBT - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, UPSD achieves a 8.00% return, which is significantly higher than BDBT's 0.08% return.
UPSD
- 1D
- -0.74%
- 1M
- 4.09%
- 6M
- 5.98%
- YTD
- 8.00%
- 1Y
- 16.51%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
BDBT
- 1D
- 0.02%
- 1M
- -0.13%
- 6M
- -0.00%
- YTD
- 0.08%
- 1Y
- 3.91%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
UPSD vs. BDBT - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
UPSD Aptus Large Cap Upside ETF | 8.00% | 14.07% |
BDBT Bluemonte Core Bond ETF | 0.08% | 3.70% |
Correlation
The correlation between UPSD and BDBT is 0.33, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.33 |
Correlation (All Time) Calculated using the full available price history since Jun 23, 2025 | 0.35 |
Compare stocks, funds, or ETFs
Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.
Return for Risk
UPSD vs. BDBT — Risk / Return Rank
UPSD
BDBT
UPSD vs. BDBT - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Aptus Large Cap Upside ETF (UPSD) and Bluemonte Core Bond ETF (BDBT). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| UPSD | BDBT | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +0.14 | ||
| Sortino ratioReturn per unit of downside risk | +0.11 | ||
| Omega ratioGain probability vs. loss probability | 1.21 | 1.18 | +0.03 |
| Calmar ratioReturn relative to maximum drawdown | 1.39 | 1.36 | +0.03 |
| Martin ratioReturn relative to average drawdown | 5.46 | 3.64 | +1.81 |
Loading charts...
Drawdowns
UPSD vs. BDBT - Drawdown Comparison
The maximum UPSD drawdown since its inception was -23.85%, which is greater than BDBT's maximum drawdown of -2.88%. Use the drawdown chart below to compare losses from any high point for UPSD and BDBT.
Loading charts...
Drawdown Indicators
| UPSD | BDBT | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -23.85% | -2.88% | -20.97% |
Max Drawdown (1Y)Largest decline over 1 year | -11.91% | -2.88% | -9.03% |
Current DrawdownCurrent decline from peak | -0.74% | -1.72% | +0.98% |
Average DrawdownAverage peak-to-trough decline | -3.75% | -0.79% | -2.96% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 3.03% | 1.07% | +1.96% |
Volatility
UPSD vs. BDBT - Volatility Comparison
Aptus Large Cap Upside ETF (UPSD) has a higher volatility of 3.41% compared to Bluemonte Core Bond ETF (BDBT) at 1.15%. This indicates that UPSD's price experiences larger fluctuations and is considered to be riskier than BDBT based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| UPSD | BDBT | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 3.41% | 1.15% | +2.26% |
Volatility (6M)Calculated over the trailing 6-month period | 11.04% | 2.97% | +8.07% |
Volatility (1Y)Calculated over the trailing 1-year period | 14.28% | 3.85% | +10.43% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 20.70% | 3.86% | +16.84% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 20.70% | 3.86% | +16.84% |
UPSD vs. BDBT - Expense Ratio Comparison
UPSD has a 0.79% expense ratio, which is higher than BDBT's 0.23% expense ratio.
Dividends
UPSD vs. BDBT - Dividend Comparison
UPSD's dividend yield for the trailing twelve months is around 0.67%, less than BDBT's 3.87% yield.
| Position | TTM | 2025 | 2024 |
|---|---|---|---|
BDBT Bluemonte Core Bond ETF | 3.87% | 2.21% | 0.00% |
UPSD Aptus Large Cap Upside ETF | 0.67% | 0.67% | 0.06% |
Frequently Asked Questions
UPSD and BDBT have a correlation of 0.33, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
UPSD has higher volatility (3.41%) compared to BDBT (1.15%). In terms of maximum drawdown, UPSD dropped -23.85% vs BDBT's -2.88%.
On 1-year performance, UPSD leads with 16.51% vs 3.91% for BDBT. On fees, BDBT is cheaper at 0.23% per year. On volatility, BDBT has been the lower-risk option at 1.15%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, UPSD has performed better with a 16.51% return vs 3.91%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
BDBT is cheaper with a 0.23% expense ratio, compared with 0.79% for UPSD.
BDBT has the higher dividend yield at 3.87%, compared with 0.67% for UPSD.
UPSD is categorized as Actively Managed, while BDBT is Intermediate Core Bond. They also come from different issuers: Aptus and Bluemonte. Their fees differ too: 0.79% for UPSD and 0.23% for BDBT.
UPSD currently has the higher Sharpe Ratio (1.16 vs 1.02), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.
Find the right allocation for UPSD and BDBT
Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio Optimizer