PortfoliosLab logoPortfoliosLab logo
LVDS vs. DSTL
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

LVDS vs. DSTL - Performance Comparison

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

Loading charts...

Returns By Period

In the year-to-date period, LVDS achieves a 13.56% return, which is significantly higher than DSTL's 2.53% return.


LVDS

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

DSTL

1D
-0.69%
1M
1.26%
YTD
2.53%
6M
2.90%
1Y
12.73%
3Y*
13.05%
5Y*
9.04%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

LVDS vs. DSTL - Yearly Performance Comparison


Correlation

The correlation between LVDS and DSTL is 0.71, 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 15, 2025

0.71

LVDS vs. DSTL - Sectors Allocation Comparison


Sectors
LVDS
DSTL

Financial Services

18.3%
6.9%

Technology

15.9%
26.7%

Industrials

10.2%
15.9%

Healthcare

8.6%
20.3%

Consumer Cyclical

8.0%
11.6%

Communication Services

7.5%
7.6%

Energy

6.6%
5.6%

Consumer Defensive

6.5%
3.5%

Utilities

4.8%
1.0%

Real Estate

4.2%

-

Basic Materials

1.7%
0.7%

Financial Services

LVDS
18.3%
DSTL
6.9%

Technology

LVDS
15.9%
DSTL
26.7%

Industrials

LVDS
10.2%
DSTL
15.9%

Healthcare

LVDS
8.6%
DSTL
20.3%

Consumer Cyclical

LVDS
8.0%
DSTL
11.6%

Communication Services

LVDS
7.5%
DSTL
7.6%

Energy

LVDS
6.6%
DSTL
5.6%

Consumer Defensive

LVDS
6.5%
DSTL
3.5%

Utilities

LVDS
4.8%
DSTL
1.0%

Real Estate

LVDS
4.2%
DSTL

-

Basic Materials

LVDS
1.7%
DSTL
0.7%

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

LVDS vs. DSTL — Risk / Return Rank

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

LVDS

DSTL
DSTL Risk / Return Rank: 3030
Overall Rank
DSTL Sharpe Ratio Rank: 2929
Sharpe Ratio Rank
DSTL Sortino Ratio Rank: 3030
Sortino Ratio Rank
DSTL Omega Ratio Rank: 2727
Omega Ratio Rank
DSTL Calmar Ratio Rank: 3131
Calmar Ratio Rank
DSTL Martin Ratio Rank: 3131
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. DSTL - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for JPMorgan Fundamental Data Science Large Value ETF (LVDS) and Distillate U.S. Fundamental Stability & Value ETF (DSTL). 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. DSTL - Sharpe Ratio Comparison


Loading charts...

Sharpe Ratios by Period


LVDSDSTLDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

1.08

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.58

Sharpe Ratio (All Time)

Calculated using the full available price history

2.39

0.72

+1.67

Drawdowns

LVDS vs. DSTL - Drawdown Comparison

The maximum LVDS drawdown since its inception was -6.64%, smaller than the maximum DSTL drawdown of -33.09%. Use the drawdown chart below to compare losses from any high point for LVDS and DSTL.


Loading charts...

Drawdown Indicators


LVDSDSTLDifference

Max Drawdown

Largest peak-to-trough decline

-6.64%

-33.09%

+26.45%

Max Drawdown (1Y)

Largest decline over 1 year

-8.30%

Max Drawdown (3Y)

Largest decline over 3 years

-16.92%

Max Drawdown (5Y)

Largest decline over 5 years

-20.10%

Current Drawdown

Current decline from peak

0.00%

-2.61%

+2.61%

Average Drawdown

Average peak-to-trough decline

-0.98%

-4.15%

+3.17%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.75%

Volatility

LVDS vs. DSTL - Volatility Comparison


Loading charts...

Volatility by Period


LVDSDSTLDifference

Volatility (1M)

Calculated over the trailing 1-month period

3.39%

Volatility (6M)

Calculated over the trailing 6-month period

8.35%

Volatility (1Y)

Calculated over the trailing 1-year period

10.43%

11.87%

-1.44%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

10.43%

15.75%

-5.32%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

10.43%

19.39%

-8.96%

LVDS vs. DSTL - Expense Ratio Comparison

LVDS has a 0.30% expense ratio, which is lower than DSTL's 0.39% expense ratio.


Dividends

LVDS vs. DSTL - Dividend Comparison

LVDS's dividend yield for the trailing twelve months is around 7.56%, more than DSTL's 1.24% yield.


PositionTTM2025202420232022202120202019
DSTL
Distillate U.S. Fundamental Stability & Value ETF
1.24%1.31%1.34%1.30%1.35%1.01%0.83%0.97%
LVDS
JPMorgan Fundamental Data Science Large Value ETF
7.56%8.25%0.00%0.00%0.00%0.00%0.00%0.00%

Frequently Asked Questions


LVDS and DSTL have a correlation of 0.71, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, LVDS is cheaper at 0.30% per year. The better choice depends on whether you care most about return, fees, risk, or income.

LVDS is cheaper with a 0.30% expense ratio, compared with 0.39% for DSTL.

LVDS has the higher dividend yield at 7.56%, compared with 1.24% for DSTL.

They also come from different issuers: JPMorgan and Distillate Capital. Their fees differ too: 0.30% for LVDS and 0.39% for DSTL.

Portfolio Optimizer

Find the right allocation for LVDS and DSTL

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