ProShares Equities for Rising Rates ETF (EQRR.US)

10-Year Study

EQRR.US · US · ETF

Fundamental Snapshot

ProShares Equities for Rising Rates ETF (EQRR.US) charges an annual expense ratio of low annual fee, manages approximately institutional assets in net assets, and maintains a portfolio of diversified basket of holdings.

Executive Summary: ProShares Equities for Rising Rates ETF has compounded at 10.4% annually over the last 10 years, with a maximum drawdown of 50.6% and an annualized volatility of 19.6%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+32.4%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+18.4%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+13.2%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+10.4%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

View full price history data
DateValue
2017-07-01$10,000
2017-08-01$9,712
2017-09-01$10,513
2017-10-01$10,765
2017-11-01$10,770
2017-12-01$11,669
2018-01-01$12,362
2018-02-01$11,719
2018-03-01$11,653
2018-04-01$12,080
2018-05-01$12,471
2018-06-01$12,099
2018-07-01$12,614
2018-08-01$12,720
2018-09-01$12,599
2018-10-01$11,219
2018-11-01$11,022
2018-12-01$9,499
2019-01-01$10,694
2019-02-01$10,898
2019-03-01$10,558
2019-04-01$11,051
2019-05-01$9,697
2019-06-01$10,611
2019-07-01$10,637
2019-08-01$9,669
2019-09-01$10,185
2019-10-01$10,224
2019-11-01$11,002
2019-12-01$11,359
2020-01-01$10,396
2020-02-01$8,973
2020-03-01$6,281
2020-04-01$7,053
2020-05-01$7,540
2020-06-01$7,826
2020-07-01$8,093
2020-08-01$8,337
2020-09-01$7,906
2020-10-01$7,791
2020-11-01$9,930
2020-12-01$10,209
2021-01-01$10,302
2021-02-01$11,786
2021-03-01$12,312
2021-04-01$12,760
2021-05-01$13,442
2021-06-01$13,241
2021-07-01$13,013
2021-08-01$13,234
2021-09-01$13,234
2021-10-01$13,997
2021-11-01$13,348
2021-12-01$13,895
2022-01-01$14,336
2022-02-01$14,489
2022-03-01$14,757
2022-04-01$13,968
2022-05-01$14,658
2022-06-01$12,386
2022-07-01$13,501
2022-08-01$13,498
2022-09-01$12,053
2022-10-01$14,298
2022-11-01$15,226
2022-12-01$14,201
2023-01-01$15,606
2023-02-01$15,102
2023-03-01$13,885
2023-04-01$13,742
2023-05-01$12,802
2023-06-01$13,981
2023-07-01$15,309
2023-08-01$14,875
2023-09-01$14,450
2023-10-01$13,642
2023-11-01$14,550
2023-12-01$15,505
2024-01-01$15,537
2024-02-01$16,394
2024-03-01$17,755
2024-04-01$17,055
2024-05-01$17,273
2024-06-01$16,962
2024-07-01$17,174
2024-08-01$17,138
2024-09-01$16,949
2024-10-01$16,949
2024-11-01$18,345
2024-12-01$16,697
2025-01-01$17,369
2025-02-01$17,705
2025-03-01$17,490
2025-04-01$16,469
2025-05-01$17,064
2025-06-01$17,668
2025-07-01$18,012
2025-08-01$18,822
2025-09-01$18,862
2025-10-01$18,811
2025-11-01$19,053
2025-12-01$19,283
2026-01-01$20,125
2026-02-01$20,477
2026-03-01$20,894
2026-07-01$24,334
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
50.6%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.39
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.49
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
25.7%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2021 · +36.1%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · -18.6%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
78%

Annual Returns

View full annual returns data
YearReturn
2018-18.6%
201919.6%
2020-10.1%
202136.1%
20222.2%
20239.2%
20247.7%
202515.5%
202626.2%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20264.41.72.016.526.2%
20254.01.9-1.2-5.83.63.51.94.50.2-0.31.31.215.5%
20240.25.58.3-3.91.3-1.81.2-0.2-1.10.08.2-9.07.7%
20239.9-3.2-8.1-1.0-6.89.29.5-2.8-2.9-5.66.76.69.2%
20223.21.11.8-5.34.9-15.59.0-0.0-10.718.66.5-6.72.2%
20210.914.44.53.65.3-1.5-1.71.7-0.05.8-4.64.136.1%
2020-8.5-13.7-30.012.36.93.83.43.0-5.2-1.527.52.8-10.1%
201912.61.9-3.14.7-12.39.40.2-9.15.30.47.63.219.6%
20185.9-5.2-0.63.73.2-3.04.30.8-0.9-11.0-1.8-13.8-18.6%
2017-2.98.32.40.08.316.7%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
19.6%
View full factor risk breakdown
FactorRisk Exposure
VTI.US31.7%
VEA.US8.7%
VWO.US-0.3%
QQQ.US-15.5%
VTV.US29.6%
IJR.US21.3%
QUAL.US1.2%
SHV.US17.3%
TLT.US-1.0%
LQD.US1.0%
HYG.US4.4%
GLD.US0.1%
USO.US4.1%
VNQ.US-8.2%
BTC-USD.CC2.0%
CPER.US1.1%
VIX.INDX-5.6%
UUP.US-0.4%
TIP.US-0.6%
Idiosyncratic9.0%

ProShares Equities for Rising Rates ETF ETF Profile & Portfolio Fundamentals

Detailed fund structure, fee metrics, portfolio-level valuation, and asset distribution statistics.

Fund Structure & Fees

Distribution Yield
1.1%

Portfolio Valuation Multiples

Portfolio P/E Ratio16.17x
Portfolio Forward P/E16.17x
Portfolio Price-to-Sales
Portfolio Price-to-Book

Market Sentiment & Squeeze Risk

Short Squeeze RiskLow

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$70
Avg Yield on Cost
0.70%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$69.930.70%Weak

Momentum & MacroiPrice momentum indicators: distance from 50/200-Day SMA, 52-Week High proximity, Golden Cross trend signal, RSI momentum gauge, Fibonacci retracement levels, and Beta (market sensitivity).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+13.5%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+25.1%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
0.7% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
0.74
Market sensitivity coefficient
Trend SignalGolden Cross & Death CrossTechnical chart patterns that occur when a short-term moving average crosses over a long-term moving average.Click for full definition →
✦ Golden Cross
Bullish — 50 SMA above 200 SMA
RSI (14-Day)Relative Strength Index (RSI)A momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.Click for full definition →
92
OversoldNeutralOverbought
Overbought
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+14.8%
50.0% retracement+20.6%
61.8% retracement+27.0%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

EQRR.US — 10-Year Return & Risk Profile

ProShares Equities for Rising Rates ETF (EQRR.US) has delivered solid annualized growth of 10.4% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $26,863, representing a total return of 169%. Over this period, EQRR.US generated positive annual returns in 8 out of 10 calendar years (78%).

The best single calendar year for EQRR.US was 2021, with a return of +36.1%. The worst year was 2018, when the asset declined 18.6%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of 0.39 is considered weak on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

EQRR.US — Drawdown, Volatility & Downside Risk

EQRR.US's annualized volatility of 25.7% is classified as elevated relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in EQRR.US have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 50.6% — a severe bear-market collapse. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 51% drawdown, for example, requires a 103% gain just to break even.

When evaluating EQRR.US for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

EQRR.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 31.7% of EQRR.US's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, EQRR.US tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their EQRR.US allocation.

The second-largest macro driver is US Value Equities, contributing 29.6% of variance. 9.0% of EQRR.US's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding EQRR.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding EQRR.US alongside assets with low correlation to US Equity (broad market) — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is ProShares Equities for Rising Rates ETF a high-risk investment?

ProShares Equities for Rising Rates ETF (EQRR.US) has an annualized volatility of 19.6% and experienced a maximum drawdown of 50.6% over the last 10 years. Its primary macro risk driver is VTI.US.

What is the 10-year return of EQRR.US?

Over the past 10 years, EQRR.US has generated a Compound Annual Growth Rate (CAGR) of 10.4%. A $10,000 investment would have grown to approximately $26,863. It has had a positive return in 78% of calendar years.

What is EQRR.US's Sharpe ratio?

EQRR.US has a Sharpe ratio of 0.39 and a Sortino ratio of 0.49 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is EQRR.US's dividend yield?

EQRR.US has an average trailing dividend yield of 1.08%. On a $10,000 initial investment, it generated approximately $70 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is EQRR.US above its 200-day moving average?

EQRR.US is currently above its 200-day moving average by 25.1%. The current trend signal is: Bullish — 50 SMA above 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

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