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LVDS vs. FVAL
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

LVDS vs. FVAL - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in JPMorgan Fundamental Data Science Large Value ETF (LVDS) and Fidelity Value Factor ETF (FVAL). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, LVDS achieves a 15.18% return, which is significantly higher than FVAL's 7.62% return.


LVDS

1D
-1.20%
1M
2.78%
YTD
15.18%
6M
14.56%
1Y
3Y*
5Y*
10Y*

FVAL

1D
-0.92%
1M
-1.49%
YTD
7.62%
6M
6.75%
1Y
25.79%
3Y*
19.21%
5Y*
12.00%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

LVDS vs. FVAL - Yearly Performance Comparison


Correlation

The correlation between LVDS and FVAL is 0.80, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.


Correlation
Correlation (All Time)
Calculated using the full available price history since Jul 14, 2025

0.80

LVDS vs. FVAL - Sectors Allocation Comparison


Sectors
LVDS
FVAL

Financial Services

18.7%
11.7%

Technology

18.7%
36.1%

Industrials

12.1%
8.1%

Healthcare

10.1%
9.7%

Consumer Cyclical

8.4%
10.6%

Communication Services

7.5%
9.7%

Energy

6.6%
3.4%

Consumer Defensive

6.4%
4.4%

Utilities

4.7%
1.9%

Real Estate

4.1%
2.5%

Basic Materials

2.7%
2.0%

Financial Services

LVDS
18.7%
FVAL
11.7%

Technology

LVDS
18.7%
FVAL
36.1%

Industrials

LVDS
12.1%
FVAL
8.1%

Healthcare

LVDS
10.1%
FVAL
9.7%

Consumer Cyclical

LVDS
8.4%
FVAL
10.6%

Communication Services

LVDS
7.5%
FVAL
9.7%

Energy

LVDS
6.6%
FVAL
3.4%

Consumer Defensive

LVDS
6.4%
FVAL
4.4%

Utilities

LVDS
4.7%
FVAL
1.9%

Real Estate

LVDS
4.1%
FVAL
2.5%

Basic Materials

LVDS
2.7%
FVAL
2.0%

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Return for Risk

LVDS vs. FVAL — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

LVDS

Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.


FVAL
FVAL Risk / Return Rank: 6868
Overall Rank
FVAL Sharpe Ratio Rank: 7070
Sharpe Ratio Rank
FVAL Sortino Ratio Rank: 6868
Sortino Ratio Rank
FVAL Omega Ratio Rank: 6969
Omega Ratio Rank
FVAL Calmar Ratio Rank: 6161
Calmar Ratio Rank
FVAL Martin Ratio Rank: 7070
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

LVDS vs. FVAL - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for JPMorgan Fundamental Data Science Large Value ETF (LVDS) and Fidelity Value Factor ETF (FVAL). 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.


LVDSFVALDifference
Sharpe ratioReturn per unit of total volatility

Sortino ratioReturn per unit of downside risk

Omega ratioGain probability vs. loss probability

1.39

Calmar ratioReturn relative to maximum drawdown

2.90

Martin ratioReturn relative to average drawdown

12.33

LVDS vs. FVAL - Sharpe Ratio Comparison


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Drawdowns

LVDS vs. FVAL - Drawdown Comparison

The maximum LVDS drawdown since its inception was -6.64%, smaller than the maximum FVAL drawdown of -37.26%. Use the drawdown chart below to compare losses from any high point for LVDS and FVAL.


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Drawdown Indicators


LVDSFVALDifference

Max Drawdown

Largest peak-to-trough decline

-6.64%

-37.26%

+30.62%

Max Drawdown (1Y)

Largest decline over 1 year

-8.92%

Max Drawdown (3Y)

Largest decline over 3 years

-18.39%

Max Drawdown (5Y)

Largest decline over 5 years

-23.42%

Current Drawdown

Current decline from peak

-1.20%

-3.89%

+2.69%

Average Drawdown

Average peak-to-trough decline

-0.95%

-4.57%

+3.62%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.10%

Volatility

LVDS vs. FVAL - Volatility Comparison


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Volatility by Period


LVDSFVALDifference

Volatility (1M)

Calculated over the trailing 1-month period

4.32%

Volatility (6M)

Calculated over the trailing 6-month period

9.35%

Volatility (1Y)

Calculated over the trailing 1-year period

10.68%

12.01%

-1.33%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

10.68%

16.53%

-5.85%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

10.68%

18.10%

-7.42%

LVDS vs. FVAL - Expense Ratio Comparison

LVDS has a 0.30% expense ratio, which is higher than FVAL's 0.15% expense ratio.


Dividends

LVDS vs. FVAL - Dividend Comparison

LVDS's dividend yield for the trailing twelve months is around 7.45%, more than FVAL's 1.62% yield.


PositionTTM2025202420232022202120202019201820172016
FVAL
Fidelity Value Factor ETF
1.62%1.61%1.60%1.69%1.79%1.41%1.61%1.77%2.06%1.62%0.45%
LVDS
JPMorgan Fundamental Data Science Large Value ETF
7.45%8.25%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Frequently Asked Questions


LVDS and FVAL have a correlation of 0.80, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, FVAL is cheaper at 0.15% per year. The better choice depends on whether you care most about return, fees, risk, or income.

FVAL is cheaper with a 0.15% expense ratio, compared with 0.30% for LVDS.

LVDS has the higher dividend yield at 7.45%, compared with 1.62% for FVAL.

They also come from different issuers: JPMorgan and Fidelity. Their fees differ too: 0.30% for LVDS and 0.15% for FVAL.

Portfolio Optimizer

Find the right allocation for LVDS and FVAL

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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