Pacer Swan Sos Etf Market Value
| PSFD Etf | USD 37.81 0.20 0.53% |
| Symbol | Pacer |
Investors evaluate Pacer Swan SOS using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Pacer Swan's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause Pacer Swan's market price to deviate significantly from intrinsic value.
It's important to distinguish between Pacer Swan's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Pacer Swan should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Pacer Swan's market price signifies the transaction level at which participants voluntarily complete trades.
Pacer Swan 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Pacer Swan's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Pacer Swan.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in Pacer Swan on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding Pacer Swan SOS or generate 0.0% return on investment in Pacer Swan over 90 days. Pacer Swan is related to or competes with Pacer Swan, AIM ETF, AIM ETF, Innovator Uncapped, Innovator Buffer, AIM ETF, and Pacer Swan. The fund is an actively managed exchange-traded fund that, under normal market conditions, invests substantially all of ... More
Pacer Swan Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Pacer Swan's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Pacer Swan SOS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4447 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 2.31 | |||
| Value At Risk | (0.53) | |||
| Potential Upside | 0.5345 |
Pacer Swan Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pacer Swan's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pacer Swan's standard deviation. In reality, there are many statistical measures that can use Pacer Swan historical prices to predict the future Pacer Swan's volatility.| Risk Adjusted Performance | 0.0895 | |||
| Jensen Alpha | 0.0218 | |||
| Total Risk Alpha | 0.0139 | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.1163 |
Pacer Swan January 29, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0895 | |||
| Market Risk Adjusted Performance | 0.1263 | |||
| Mean Deviation | 0.2428 | |||
| Semi Deviation | 0.2568 | |||
| Downside Deviation | 0.4447 | |||
| Coefficient Of Variation | 727.59 | |||
| Standard Deviation | 0.3572 | |||
| Variance | 0.1276 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | 0.0218 | |||
| Total Risk Alpha | 0.0139 | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.1163 | |||
| Maximum Drawdown | 2.31 | |||
| Value At Risk | (0.53) | |||
| Potential Upside | 0.5345 | |||
| Downside Variance | 0.1978 | |||
| Semi Variance | 0.0659 | |||
| Expected Short fall | (0.26) | |||
| Skewness | (0.77) | |||
| Kurtosis | 3.86 |
Pacer Swan SOS Backtested Returns
At this point, Pacer Swan is very steady. Pacer Swan SOS maintains Sharpe Ratio (i.e., Efficiency) of 0.14, which implies the entity had a 0.14 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Pacer Swan SOS, which you can use to evaluate the volatility of the etf. Please check Pacer Swan's Risk Adjusted Performance of 0.0895, semi deviation of 0.2568, and Coefficient Of Variation of 727.59 to confirm if the risk estimate we provide is consistent with the expected return of 0.0513%. The etf holds a Beta of 0.34, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Pacer Swan's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pacer Swan is expected to be smaller as well.
Auto-correlation | 0.48 |
Average predictability
Pacer Swan SOS has average predictability. Overlapping area represents the amount of predictability between Pacer Swan time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Pacer Swan SOS price movement. The serial correlation of 0.48 indicates that about 48.0% of current Pacer Swan price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.48 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
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Check out Pacer Swan Correlation, Pacer Swan Volatility and Pacer Swan Performance module to complement your research on Pacer Swan. You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
Pacer Swan technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.