DAT vs. XLK
DAT (ProShares Big Data Refiners ETF) and XLK (State Street Technology Select Sector SPDR ETF) are both Technology Equities funds - DAT tracks the FactSet Big Data Refiners Index while XLK tracks the S&P Technology Select Sector Daily Capped 35/20 Index. Both are passively managed. Over the past 3 years, DAT returned 16.40%/yr vs 33.46%/yr for XLK. A 0.72 correlation means they provide meaningful diversification when combined. DAT charges 0.58%/yr vs 0.08%/yr for XLK.
Performance
DAT vs. XLK - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, DAT achieves a -1.79% return, which is significantly lower than XLK's 34.34% return.
DAT
- 1D
- 1.36%
- 1M
- 17.11%
- YTD
- -1.79%
- 6M
- -0.83%
- 1Y
- -3.18%
- 3Y*
- 16.40%
- 5Y*
- —
- 10Y*
- —
XLK
- 1D
- -1.56%
- 1M
- 16.63%
- YTD
- 34.34%
- 6M
- 33.10%
- 1Y
- 64.08%
- 3Y*
- 33.46%
- 5Y*
- 23.44%
- 10Y*
- 25.62%
DAT vs. XLK - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | |
|---|---|---|---|---|---|---|
DAT ProShares Big Data Refiners ETF | -1.79% | 3.49% | 33.22% | 51.76% | -44.33% | -3.78% |
XLK State Street Technology Select Sector SPDR ETF | 34.34% | 24.61% | 21.63% | 56.02% | -27.73% | 16.66% |
Correlation
The correlation between DAT and XLK is 0.58, 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 | 0.58 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.65 |
Correlation (All Time) Calculated using the full available price history since Oct 1, 2021 | 0.72 |
The correlation between DAT and XLK shifts across timeframes, from 0.58 (1 year) to 0.72 (all time), reflecting how their relationship changes across market environments.
DAT vs. XLK - Sectors Allocation Comparison
Sectors
DAT
XLK
Technology
Communication Services
-
Utilities
-
Healthcare
-
Basic Materials
-
-
Consumer Cyclical
-
-
Consumer Defensive
-
-
Energy
-
Financial Services
-
-
Industrials
-
Real Estate
-
-
Technology
DAT
XLK
Communication Services
DAT
XLK
-
Utilities
DAT
XLK
-
Healthcare
DAT
XLK
-
Basic Materials
DAT
-
XLK
-
Consumer Cyclical
DAT
-
XLK
-
Consumer Defensive
DAT
-
XLK
-
Energy
DAT
-
XLK
Financial Services
DAT
-
XLK
-
Industrials
DAT
-
XLK
Real Estate
DAT
-
XLK
-
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
DAT vs. XLK — Risk / Return Rank
DAT
XLK
DAT vs. XLK - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for ProShares Big Data Refiners ETF (DAT) and State Street Technology Select Sector SPDR ETF (XLK). 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.
| DAT | XLK | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -3.19 | ||
| Sortino ratioReturn per unit of downside risk | -3.72 | ||
| Omega ratioGain probability vs. loss probability | 1.01 | 1.49 | -0.49 |
| Calmar ratioReturn relative to maximum drawdown | -0.09 | 4.04 | -4.14 |
| Martin ratioReturn relative to average drawdown | -0.21 | 13.55 | -13.76 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
Loading charts...
Sharpe Ratios by Period
| DAT | XLK | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | -0.11 | 3.09 | -3.19 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | — | 0.95 | — |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | — | 1.05 | — |
Sharpe Ratio (All Time)Calculated using the full available price history | 0.06 | 0.41 | -0.35 |
Drawdowns
DAT vs. XLK - Drawdown Comparison
The maximum DAT drawdown since its inception was -56.22%, smaller than the maximum XLK drawdown of -82.05%. Use the drawdown chart below to compare losses from any high point for DAT and XLK.
Loading charts...
Drawdown Indicators
| DAT | XLK | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -56.22% | -82.05% | +25.83% |
Max Drawdown (1Y)Largest decline over 1 year | -34.70% | -15.92% | -18.78% |
Max Drawdown (3Y)Largest decline over 3 years | -34.73% | -25.66% | -9.07% |
Max Drawdown (5Y)Largest decline over 5 years | — | -33.56% | — |
Max Drawdown (10Y)Largest decline over 10 years | — | -33.56% | — |
Current DrawdownCurrent decline from peak | -8.86% | -2.54% | -6.32% |
Average DrawdownAverage peak-to-trough decline | -26.22% | -34.95% | +8.73% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 15.11% | 4.74% | +10.37% |
Volatility
DAT vs. XLK - Volatility Comparison
ProShares Big Data Refiners ETF (DAT) has a higher volatility of 13.57% compared to State Street Technology Select Sector SPDR ETF (XLK) at 7.27%. This indicates that DAT's price experiences larger fluctuations and is considered to be riskier than XLK based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| DAT | XLK | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 13.57% | 7.27% | +6.30% |
Volatility (6M)Calculated over the trailing 6-month period | 25.04% | 16.76% | +8.28% |
Volatility (1Y)Calculated over the trailing 1-year period | 29.79% | 20.86% | +8.93% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 34.01% | 24.90% | +9.11% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 34.01% | 24.49% | +9.52% |
DAT vs. XLK - Expense Ratio Comparison
DAT has a 0.58% expense ratio, which is higher than XLK's 0.08% expense ratio.
Dividends
DAT vs. XLK - Dividend Comparison
DAT has not paid dividends to shareholders, while XLK's dividend yield for the trailing twelve months is around 0.40%.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
DAT ProShares Big Data Refiners ETF | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
XLK State Street Technology Select Sector SPDR ETF | 0.40% | 0.54% | 0.66% | 0.76% | 1.04% | 0.65% | 0.92% | 1.16% | 1.60% | 1.37% | 1.74% | 1.79% |
Frequently Asked Questions
DAT and XLK have a correlation of 0.58, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
DAT has higher volatility (13.57%) compared to XLK (7.27%). In terms of maximum drawdown, DAT dropped -56.22% vs XLK's -82.05%.
On 3-year performance, XLK leads with 33.46% vs 16.40% for DAT. On fees, XLK is cheaper at 0.08% per year. On volatility, XLK has been the lower-risk option at 7.27%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 3-year period, XLK has performed better with a 33.46% return vs 16.40%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
XLK is cheaper with a 0.08% expense ratio, compared with 0.58% for DAT.
XLK has the higher dividend yield at 0.40%, compared with 0.00% for DAT.
DAT tracks FactSet Big Data Refiners Index, while XLK tracks S&P Technology Select Sector Daily Capped 35/20 Index. They also come from different issuers: ProShares and State Street. Their fees differ too: 0.58% for DAT and 0.08% for XLK.
XLK currently has the higher Sharpe Ratio (3.09 vs -0.11), 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 DAT and XLK
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