Pacer Benchmark Data Etf Market Value
| SRVR Etf | USD 33.29 0.36 1.09% |
| Symbol | Pacer |
Understanding Pacer Benchmark Data requires distinguishing between market price and book value, where the latter reflects Pacer's accounting equity. The concept of intrinsic value - what Pacer Benchmark's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Market sentiment, economic cycles, and investor behavior can push Pacer Benchmark's price substantially above or below its fundamental value.
Please note, there is a significant difference between Pacer Benchmark's value and its price as these two are different measures arrived at by different means. Investors typically determine if Pacer Benchmark is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, Pacer Benchmark's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
Pacer Benchmark '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 Benchmark'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 Benchmark.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in Pacer Benchmark on November 17, 2025 and sell it all today you would earn a total of 0.00 from holding Pacer Benchmark Data or generate 0.0% return on investment in Pacer Benchmark over 90 days. Pacer Benchmark is related to or competes with JPMorgan Realty, Nuveen ESG, EA Series, Goldman Sachs, First Trust, InfraCap MLP, and Dimensional ETF. The index is generally composed of equity securities of developed markets companies that derive at least 85 percent of t... More
Pacer Benchmark 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 Benchmark'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 Benchmark Data upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.17 | |||
| Information Ratio | 0.0781 | |||
| Maximum Drawdown | 3.87 | |||
| Value At Risk | (1.67) | |||
| Potential Upside | 1.48 |
Pacer Benchmark Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pacer Benchmark's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pacer Benchmark's standard deviation. In reality, there are many statistical measures that can use Pacer Benchmark historical prices to predict the future Pacer Benchmark's volatility.| Risk Adjusted Performance | 0.1172 | |||
| Jensen Alpha | 0.1079 | |||
| Total Risk Alpha | 0.0642 | |||
| Sortino Ratio | 0.073 | |||
| Treynor Ratio | 0.2315 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Pacer Benchmark's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Pacer Benchmark February 15, 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 | 0.1172 | |||
| Market Risk Adjusted Performance | 0.2415 | |||
| Mean Deviation | 0.8181 | |||
| Semi Deviation | 0.9908 | |||
| Downside Deviation | 1.17 | |||
| Coefficient Of Variation | 704.67 | |||
| Standard Deviation | 1.1 | |||
| Variance | 1.2 | |||
| Information Ratio | 0.0781 | |||
| Jensen Alpha | 0.1079 | |||
| Total Risk Alpha | 0.0642 | |||
| Sortino Ratio | 0.073 | |||
| Treynor Ratio | 0.2315 | |||
| Maximum Drawdown | 3.87 | |||
| Value At Risk | (1.67) | |||
| Potential Upside | 1.48 | |||
| Downside Variance | 1.38 | |||
| Semi Variance | 0.9817 | |||
| Expected Short fall | (0.84) | |||
| Skewness | 0.0544 | |||
| Kurtosis | 1.31 |
Pacer Benchmark Data Backtested Returns
Pacer Benchmark appears to be very steady, given 3 months investment horizon. Pacer Benchmark Data maintains Sharpe Ratio (i.e., Efficiency) of 0.25, which implies the entity had a 0.25 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Pacer Benchmark Data, which you can use to evaluate the volatility of the etf. Please evaluate Pacer Benchmark's Semi Deviation of 0.9908, risk adjusted performance of 0.1172, and Coefficient Of Variation of 704.67 to confirm if our risk estimates are consistent with your expectations. The etf holds a Beta of 0.63, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Pacer Benchmark's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pacer Benchmark is expected to be smaller as well.
Auto-correlation | 0.39 |
Below average predictability
Pacer Benchmark Data has below average predictability. Overlapping area represents the amount of predictability between Pacer Benchmark time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th of February 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 Benchmark Data price movement. The serial correlation of 0.39 indicates that just about 39.0% of current Pacer Benchmark price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | 0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 1.17 |
Pair Trading with Pacer Benchmark
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Pacer Benchmark position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Pacer Benchmark will appreciate offsetting losses from the drop in the long position's value.Moving together with Pacer Etf
| 0.87 | VNQ | Vanguard Real Estate | PairCorr |
| 0.88 | XLRE | Real Estate | PairCorr |
| 0.87 | IYR | iShares Real Estate | PairCorr |
| 0.86 | ICF | iShares Cohen Steers Low Volatility | PairCorr |
The ability to find closely correlated positions to Pacer Benchmark could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Pacer Benchmark when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Pacer Benchmark - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Pacer Benchmark Data to buy it.
The correlation of Pacer Benchmark is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Pacer Benchmark moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Pacer Benchmark Data moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Pacer Benchmark can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Pacer Benchmark Correlation, Pacer Benchmark Volatility and Pacer Benchmark Performance module to complement your research on Pacer Benchmark. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Pacer Benchmark 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.