LVDS vs. JHDV
LVDS (JPMorgan Fundamental Data Science Large Value ETF) and JHDV (John Hancock U.S. High Dividend ETF) are both Large Cap Value Equities funds. Both are actively managed. Over the past year, LVDS returned 29.17% vs 26.20% for JHDV. A 0.77 correlation means they provide meaningful diversification when combined. LVDS charges 0.30%/yr vs 0.34%/yr for JHDV.
Performance
LVDS vs. JHDV - Performance Comparison
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Returns By Period
The year-to-date returns for both stocks are quite close, with LVDS having a 19.24% return and JHDV slightly lower at 18.65%.
LVDS
- 1D
- 0.73%
- 1M
- 2.52%
- 6M
- 15.52%
- YTD
- 19.24%
- 1Y
- 29.17%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
JHDV
- 1D
- -0.15%
- 1M
- -0.19%
- 6M
- 15.20%
- YTD
- 18.65%
- 1Y
- 26.20%
- 3Y*
- 19.98%
- 5Y*
- —
- 10Y*
- —
LVDS vs. JHDV - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
LVDS JPMorgan Fundamental Data Science Large Value ETF | 19.24% | 7.40% |
JHDV John Hancock U.S. High Dividend ETF | 18.65% | 6.15% |
Correlation
The correlation between LVDS and JHDV is 0.77, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.77 |
Correlation (All Time) Calculated using the full available price history since Jul 14, 2025 | 0.77 |
The correlation between LVDS and JHDV has been stable across timeframes, ranging from 0.77 to 0.77 - a consistent structural relationship.
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Return for Risk
LVDS vs. JHDV — Risk / Return Rank
LVDS
JHDV
LVDS vs. JHDV - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for JPMorgan Fundamental Data Science Large Value ETF (LVDS) and John Hancock U.S. High Dividend ETF (JHDV). 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.
| LVDS | JHDV | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +0.63 | ||
| Sortino ratioReturn per unit of downside risk | +0.99 | ||
| Omega ratioGain probability vs. loss probability | 1.50 | 1.38 | +0.12 |
| Calmar ratioReturn relative to maximum drawdown | 4.41 | 3.19 | +1.22 |
| Martin ratioReturn relative to average drawdown | 17.88 | 12.80 | +5.08 |
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Drawdowns
LVDS vs. JHDV - Drawdown Comparison
The maximum LVDS drawdown since its inception was -6.64%, smaller than the maximum JHDV drawdown of -18.97%. Use the drawdown chart below to compare losses from any high point for LVDS and JHDV.
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Drawdown Indicators
| LVDS | JHDV | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -6.64% | -18.97% | +12.33% |
Max Drawdown (1Y)Largest decline over 1 year | -6.64% | -8.26% | +1.62% |
Max Drawdown (3Y)Largest decline over 3 years | — | -18.97% | — |
Current DrawdownCurrent decline from peak | 0.00% | -1.13% | +1.13% |
Average DrawdownAverage peak-to-trough decline | -0.92% | -2.59% | +1.67% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 1.64% | 2.05% | -0.41% |
Volatility
LVDS vs. JHDV - Volatility Comparison
The current volatility for JPMorgan Fundamental Data Science Large Value ETF (LVDS) is 2.88%, while John Hancock U.S. High Dividend ETF (JHDV) has a volatility of 3.08%. This indicates that LVDS experiences smaller price fluctuations and is considered to be less risky than JHDV based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| LVDS | JHDV | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 2.88% | 3.08% | -0.20% |
Volatility (6M)Calculated over the trailing 6-month period | 8.16% | 9.65% | -1.49% |
Volatility (1Y)Calculated over the trailing 1-year period | 10.50% | 12.18% | -1.68% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 10.56% | 15.61% | -5.05% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 10.56% | 15.61% | -5.05% |
LVDS vs. JHDV - Expense Ratio Comparison
LVDS has a 0.30% expense ratio, which is lower than JHDV's 0.34% expense ratio.
Dividends
LVDS vs. JHDV - Dividend Comparison
LVDS's dividend yield for the trailing twelve months is around 7.55%, more than JHDV's 2.05% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 |
|---|---|---|---|---|---|
JHDV John Hancock U.S. High Dividend ETF | 2.05% | 2.40% | 2.50% | 2.77% | 0.85% |
LVDS JPMorgan Fundamental Data Science Large Value ETF | 7.55% | 8.25% | 0.00% | 0.00% | 0.00% |
Frequently Asked Questions
LVDS and JHDV have a correlation of 0.77, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
JHDV has higher volatility (3.08%) compared to LVDS (2.88%). In terms of maximum drawdown, LVDS dropped -6.64% vs JHDV's -18.97%.
On 1-year performance, LVDS leads with 29.17% vs 26.20% for JHDV. On fees, LVDS is cheaper at 0.30% per year. On volatility, LVDS has been the lower-risk option at 2.88%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, LVDS has performed better with a 29.17% return vs 26.20%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
LVDS is cheaper with a 0.30% expense ratio, compared with 0.34% for JHDV.
LVDS has the higher dividend yield at 7.55%, compared with 2.05% for JHDV.
They also come from different issuers: JPMorgan and John Hancock. Their fees differ too: 0.30% for LVDS and 0.34% for JHDV.
LVDS currently has the higher Sharpe Ratio (2.79 vs 2.16), 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.
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