Pacer Swan SOS ETF Volatility
| PSCW ETF | USD 29.74 0.05 0.17% |
Sharpe Ratio = 0.326
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Latest disclosures for Pacer Swan SOS show a Market Risk Adjusted Performance of 8.4%, a Risk of 0.27, and a Risk Adjusted Performance of 0.3%. Monthly performance data shows the ETF operating at about 25% of its measured historical range.
Key indicators related to Pacer Swan's volatility include:90 Days Market Risk | Chance Of Distress | 90 Days Economic Sensitivity |
Key risk metrics for Pacer Swan (3 Months):
Beta 0.01 | Alpha 0.07 | Risk 0.27 | Sharpe Ratio 0.33 | Expected Return 0.09 |
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Sensitivity To Market
Pacer Swan SOS exhibits a beta of 0.0089, representing its market-relative sensitivity. This coefficient separates systematic risk from company-specific volatility. Total return dispersion is approximately 0.27%. Pacer Swan SOS return patterns over the selected horizon reflect a minimal level of variability, based on dispersion and downside-focused statistics. Standard deviation is near 0.27%. ETF volatility includes tracking difference effects, fees, and trading friction on top of index movement. Premium/discount to NAV is often expressed as (Price − NAV) / NAV × 100 when NAV is available.
3 Months Beta |Pacer Swan SOS Demand TrendCurrent 90-day Pacer Swan correlation with market (Dow Jones Industrial)Downside Risk
For Pacer Swan, the standard deviation figure expresses the observed spread of daily returns over the selected period. The magnitude of Pacer Swan standard deviation determines where it falls on the volatility spectrum relative to peers. Pairing standard deviation with beta separates Pacer Swan total risk from its market-driven component. Combining Pacer Swan standard deviation with skewness and kurtosis gives a more complete picture of return distribution shape.
Standard Deviation | 0.27 |
Distinguishing between standard deviation and downside deviation sharpens the risk picture for Pacer Swan. Standard deviation reflects total return dispersion for Pacer Swan, while downside deviation captures only the adverse portion of Pacer Swan's returns. Standard deviation and downside deviation for Pacer Swan measure different things - total dispersion vs. loss-only dispersion. Semi-deviation and downside deviation focus on the loss risk embedded in Pacer Swan's returns. Latest disclosures for Pacer Swan SOS show a Downside Deviation of 0.19, a Downside Variance of 0.04, and a Maximum Drawdown of 1.32.
ETF Volatility Analysis
For Pacer Swan, understanding volatility is essential to assessing portfolio risk contribution. It indicates how dramatically Pacer Swan's price swings over a specific time horizon. For Pacer Swan, volatility is both a risk factor and a driver of return dispersion. Sharp price movements in Pacer Swan's are triggered by earnings surprises, macroeconomic data, or sector trends.
Transformation |
This analysis covers sixty-one data points across the selected time horizon. The Average Price transformation calculates the mean of Pacer Swan SOS's open, high, low, and close for each trading period. By incorporating all four price components equally, it provides a balanced representation of each period's trading activity. Compared to using the closing price alone, the average price reduces the influence of end-of-day positioning and can serve as a smoother input for other technical indicators.
Projected Return Density Against Market
Given a 90-day horizon, Pacer Swan has a beta of 0.0089 indicating as returns on the market go up, Pacer Swan's average returns tend to increase less than the benchmark. However, during a bear market, the loss from holding Pacer Swan SOS tends to be smaller as well.Holders of Pacer Swan face systematic risk from broad ETF market trends and unsystematic risk from company or sector-specific developments. Diversification reduces specific exposure, but macro-driven volatility persists. Beta remains a common sensitivity metric. Latest disclosures for Pacer Swan SOS show a Downside Deviation of 0.19, a Mean Deviation of 0.21, and a Standard Deviation of 0.27.
Predicted Return Distribution |
| Density |
What Drives Pacer Swan's Price Volatility?
Holdings and Allocation
Pacer Swan's volatility can rise when allocation drift or holdings turnover shifts across the Defined Outcome category.Political and Economic Environment
Changes in fiscal policy, rates, and growth expectations affect market-wide risk premiums and spill into Pacer Swan's trading.Pacer Swan's Fund-Specific Factors
Fund flow dynamics, expense-ratio competitiveness, and index reconstitution events can create abrupt price dispersion in Pacer Swan.ETF Risk Measures
Given a 90-day horizon, the coefficient of variation of Pacer Swan is 306.76. The daily returns are distributed with a variance of 0.07 and standard deviation of 0.27. The mean deviation of Pacer Swan SOS is currently at 0.21. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.96
α | Alpha over Dow Jones | 0.07 | |
β | Beta against Dow Jones | 0.01 | |
σ | Overall volatility | 0.27 | |
Ir | Information ratio | 0.28 |
ETF Return Volatility
Pacer Swan return volatility captures the typical daily swing in ETF returns relative to the mean over the selected period. The fund has volatility of 0.2705% on return distribution over a 90-day investment horizon. Meanwhile, Dow Jones Industrial reported 0.9237% volatility on return distribution over a 90-day investment horizon. Performance |
| Timeline |
Related Correlations Analysis
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Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
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Pacer Swan Competition Risk-Adjusted Indicators
Pacer Swan ETF can look attractive on recent price action while risk efficiency lags the peer group. Reviewing Pacer Swan's risk-adjusted indicators gives a clearer view of whether returns are being earned efficiently. These indicators are quantitative in nature and measure volatility and risk-adjusted expected returns across different positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| META | 1.73 | -0.15 | 0.00 | -0.47 | 0.00 | 2.61 | 15.22 | |||
| MSFT | 1.35 | 0.04 | 0.03 | -0.38 | 1.74 | 3.11 | 8.57 | |||
| UBER | 1.72 | -0.01 | 0.00 | 0.09 | 2.20 | 3.61 | 8.83 | |||
| F | 1.53 | -0.15 | 0.00 | 0.70 | 0.00 | 4.11 | 9.26 | |||
| T | 1.16 | -0.10 | 0.00 | 0.33 | 0.00 | 2.34 | 7.75 | |||
| A | 1.41 | -0.15 | 0.00 | -1.40 | 0.00 | 2.67 | 8.08 | |||
| CRM | 2.07 | -0.05 | 0.00 | 0.30 | 0.00 | 4.07 | 13.46 | |||
| JPM | 1.12 | -0.03 | 0.00 | 3.09 | 0.00 | 2.16 | 8.16 | |||
| MRK | 1.18 | 0.02 | 0.01 | -0.21 | 1.57 | 2.73 | 7.67 | |||
| XOM | 1.42 | 0.05 | 0.02 | 0.87 | 2.04 | 2.68 | 8.59 |
Risk Metrics, Assumptions & Methodology
Return dispersion for Pacer Swan quantifies how far daily or periodic returns deviate from the average across the measurement window. Higher dispersion implies a wider range of plausible outcomes for any given holding period.
Pacer Swan SOS figures are aggregated from fund disclosures and market reference feeds and normalized across reporting formats. Volatility and downside metrics are estimated from historical return dispersion.
Editorial review and methodology oversight provided by: Gabriel Shpitalnik, Member of Macroaxis Editorial Board
Volatility Profile Summary
Recent data suggests that Pacer Swan SOS is less volatile than Dow Jones Industrial by approximately 3.41x over the selected horizon. This differential reflects the relative dispersion of returns and frames how each asset responds to broader market conditions. Observed price behavior indicates modest directional movement within the current volatility regime. Across the current 90-day horizon, that places the security below 2% of the broader equity and portfolio universe on a pure volatility basis. This positioning reflects relative dispersion compared to peers rather than extreme instability.Pacer Swan SOS with characteristics aligned to broad market upside participation. This directional read frames the latest price swing through a simple momentum and follow-through lens. It gains reliability when combined with broader risk controls and volatility-adjusted analysis. a normal upward fluctuation. Return distributions derived from historical modeling outline a range of potential outcomes over the selected 90-day horizon. View Pacer Swan probability analysis.
Moderate diversification
The correlation between Pacer Swan and Dow Jones is 0.34, which Macroaxis classifies as Moderate diversification for the selected horizon. This chart measures the degree of risk overlap between Pacer Swan and Dow Jones.
Additional Risk Indicators
Secondary risk indicators for Pacer Swan SOS evaluate exposure beyond standard deviation, beta, or one headline volatility measure. A thorough risk review clarifies whether current exposure warrants maintenance, reduction, or offset elsewhere in the portfolio.
| Risk Adjusted Performance | 0.2762 | |||
| Market Risk Adjusted Performance | 8.36 | |||
| Mean Deviation | 0.2143 | |||
| Downside Deviation | 0.1941 | |||
| Coefficient Of Variation | 319.23 | |||
| Standard Deviation | 0.2692 | |||
| Variance | 0.0725 |
Pacer Swan Suggested Diversification Pairs
A pair-trading setup around Pacer Swan shifts the return benchmark from the broad market to a second position, altering the risk profile. Pair trading is less about prediction in isolation and more about identifying relative mispricing between related positions.
While pairing positions reduces portfolio risk, some forms of risk persist no matter which instruments are combined. No matter how well a pair is constructed around Pacer Swan, market-wide risk remains. What pair trading can address is Pacer Swan's unsystematic risk - the portion driven by company or sector-specific factors rather than broad market forces.