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LVDS vs. FNDX
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

LVDS vs. FNDX - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in JPMorgan Fundamental Data Science Large Value ETF (LVDS) and Schwab Fundamental U.S. Large Company Index ETF (FNDX). 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 13.56% return, which is significantly lower than FNDX's 14.57% return.


LVDS

1D
0.18%
1M
3.85%
YTD
13.56%
6M
14.52%
1Y
3Y*
5Y*
10Y*

FNDX

1D
-0.13%
1M
3.88%
YTD
14.57%
6M
14.58%
1Y
32.32%
3Y*
20.90%
5Y*
12.82%
10Y*
14.26%
*Multi-year figures are annualized to reflect compound growth (CAGR)

LVDS vs. FNDX - Yearly Performance Comparison


Correlation

The correlation between LVDS and FNDX is 0.94, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.


Correlation
Correlation (All Time)
Calculated using the full available price history since Jul 15, 2025

0.94

LVDS vs. FNDX - Sectors Allocation Comparison


Sectors
LVDS
FNDX

Financial Services

18.3%
14.1%

Technology

15.9%
19.1%

Industrials

10.2%
9.3%

Healthcare

8.6%
12.0%

Consumer Cyclical

8.0%
9.2%

Communication Services

7.5%
10.1%

Energy

6.6%
10.3%

Consumer Defensive

6.5%
7.4%

Utilities

4.8%
3.2%

Real Estate

4.2%
1.8%

Basic Materials

1.7%
3.7%

Financial Services

LVDS
18.3%
FNDX
14.1%

Technology

LVDS
15.9%
FNDX
19.1%

Industrials

LVDS
10.2%
FNDX
9.3%

Healthcare

LVDS
8.6%
FNDX
12.0%

Consumer Cyclical

LVDS
8.0%
FNDX
9.2%

Communication Services

LVDS
7.5%
FNDX
10.1%

Energy

LVDS
6.6%
FNDX
10.3%

Consumer Defensive

LVDS
6.5%
FNDX
7.4%

Utilities

LVDS
4.8%
FNDX
3.2%

Real Estate

LVDS
4.2%
FNDX
1.8%

Basic Materials

LVDS
1.7%
FNDX
3.7%

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Return for Risk

LVDS vs. FNDX — Risk / Return Rank

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

LVDS

FNDX
FNDX Risk / Return Rank: 9090
Overall Rank
FNDX Sharpe Ratio Rank: 9090
Sharpe Ratio Rank
FNDX Sortino Ratio Rank: 9191
Sortino Ratio Rank
FNDX Omega Ratio Rank: 9090
Omega Ratio Rank
FNDX Calmar Ratio Rank: 8989
Calmar Ratio Rank
FNDX Martin Ratio Rank: 9090
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. FNDX - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for JPMorgan Fundamental Data Science Large Value ETF (LVDS) and Schwab Fundamental U.S. Large Company Index ETF (FNDX). 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.


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

LVDS vs. FNDX - Sharpe Ratio Comparison


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Sharpe Ratios by Period


LVDSFNDXDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

3.18

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.85

Sharpe Ratio (10Y)

Calculated over the trailing 10-year period

0.82

Sharpe Ratio (All Time)

Calculated using the full available price history

2.39

0.79

+1.59

Drawdowns

LVDS vs. FNDX - Drawdown Comparison

The maximum LVDS drawdown since its inception was -6.64%, smaller than the maximum FNDX drawdown of -37.72%. Use the drawdown chart below to compare losses from any high point for LVDS and FNDX.


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Drawdown Indicators


LVDSFNDXDifference

Max Drawdown

Largest peak-to-trough decline

-6.64%

-37.72%

+31.08%

Max Drawdown (1Y)

Largest decline over 1 year

-6.06%

Max Drawdown (3Y)

Largest decline over 3 years

-16.30%

Max Drawdown (5Y)

Largest decline over 5 years

-19.06%

Max Drawdown (10Y)

Largest decline over 10 years

-37.72%

Current Drawdown

Current decline from peak

0.00%

-0.13%

+0.13%

Average Drawdown

Average peak-to-trough decline

-0.98%

-3.55%

+2.57%

Ulcer Index

Depth and duration of drawdowns from previous peaks

1.55%

Volatility

LVDS vs. FNDX - Volatility Comparison


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Volatility by Period


LVDSFNDXDifference

Volatility (1M)

Calculated over the trailing 1-month period

2.25%

Volatility (6M)

Calculated over the trailing 6-month period

7.25%

Volatility (1Y)

Calculated over the trailing 1-year period

10.43%

10.22%

+0.21%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

10.43%

15.18%

-4.75%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

10.43%

17.50%

-7.07%

LVDS vs. FNDX - Expense Ratio Comparison

LVDS has a 0.30% expense ratio, which is higher than FNDX's 0.25% expense ratio.


Dividends

LVDS vs. FNDX - Dividend Comparison

LVDS's dividend yield for the trailing twelve months is around 7.56%, more than FNDX's 1.45% yield.


PositionTTM20252024202320222021202020192018201720162015
FNDX
Schwab Fundamental U.S. Large Company Index ETF
1.45%1.63%1.76%1.82%2.07%1.64%2.29%2.23%2.40%1.86%2.01%2.01%
LVDS
JPMorgan Fundamental Data Science Large Value ETF
7.56%8.25%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Frequently Asked Questions


With a correlation of 0.94, LVDS and FNDX move almost identically. Holding both adds very little diversification - you're essentially doubling your position in the same market segment. Choosing one is usually more capital-efficient.

On fees, FNDX is cheaper at 0.25% per year. The better choice depends on whether you care most about return, fees, risk, or income.

FNDX is cheaper with a 0.25% expense ratio, compared with 0.30% for LVDS.

LVDS has the higher dividend yield at 7.56%, compared with 1.45% for FNDX.

They also come from different issuers: JPMorgan and Charles Schwab. Their fees differ too: 0.30% for LVDS and 0.25% for FNDX.

Portfolio Optimizer

Find the right allocation for LVDS and FNDX

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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