Pacer Wealthshield Etf Market Value
| PWS Etf | USD 31.30 0.15 0.48% |
| Symbol | Pacer |
The market value of Pacer WealthShield is measured differently than its book value, which is the value of Pacer that is recorded on the company's balance sheet. Investors also form their own opinion of Pacer WealthShield's value that differs from its market value or its book value, called intrinsic value, which is Pacer WealthShield's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Pacer WealthShield's market value can be influenced by many factors that don't directly affect Pacer WealthShield's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Pacer WealthShield's value and its price as these two are different measures arrived at by different means. Investors typically determine if Pacer WealthShield is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Pacer WealthShield's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Pacer WealthShield '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 WealthShield'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 WealthShield.
| 04/29/2025 |
| 07/28/2025 |
If you would invest 0.00 in Pacer WealthShield on April 29, 2025 and sell it all today you would earn a total of 0.00 from holding Pacer WealthShield or generate 0.0% return on investment in Pacer WealthShield over 90 days. Pacer WealthShield is related to or competes with Pacer Trendpilot, Pacer Trendpilot, Pacer Trendpilot, Pacer Trendpilot, and Alpha Architect. The index utilizes a systematic risk management strategy that directs the indexs exposure to U.S More
Pacer WealthShield 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 WealthShield'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 WealthShield upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6615 | |||
| Information Ratio | (0.29) | |||
| Maximum Drawdown | 2.73 | |||
| Value At Risk | (0.82) | |||
| Potential Upside | 1.02 |
Pacer WealthShield Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pacer WealthShield's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pacer WealthShield's standard deviation. In reality, there are many statistical measures that can use Pacer WealthShield historical prices to predict the future Pacer WealthShield's volatility.| Risk Adjusted Performance | 0.0419 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | (0.26) | |||
| Treynor Ratio | 0.063 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Pacer WealthShield'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 WealthShield Backtested Returns
Currently, Pacer WealthShield is very steady. Pacer WealthShield maintains Sharpe Ratio (i.e., Efficiency) of 0.0555, which implies the entity had a 0.0555 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Pacer WealthShield, which you can use to evaluate the volatility of the etf. Please check Pacer WealthShield's Semi Deviation of 0.5376, risk adjusted performance of 0.0419, and Coefficient Of Variation of 1740.93 to confirm if the risk estimate we provide is consistent with the expected return of 0.0347%. The etf holds a Beta of 0.4, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Pacer WealthShield's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pacer WealthShield is expected to be smaller as well.
Auto-correlation | -0.51 |
Good reverse predictability
Pacer WealthShield has good reverse predictability. Overlapping area represents the amount of predictability between Pacer WealthShield time series from 29th of April 2025 to 13th of June 2025 and 13th of June 2025 to 28th of July 2025. 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 WealthShield price movement. The serial correlation of -0.51 indicates that about 51.0% of current Pacer WealthShield price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.51 | |
| Spearman Rank Test | -0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 0.32 |
Pacer WealthShield lagged returns against current returns
Autocorrelation, which is Pacer WealthShield etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Pacer WealthShield's etf expected returns. We can calculate the autocorrelation of Pacer WealthShield returns to help us make a trade decision. For example, suppose you find that Pacer WealthShield has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Pacer WealthShield regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Pacer WealthShield etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pacer WealthShield etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pacer WealthShield etf over time.
Current vs Lagged Prices |
| Timeline |
Pacer WealthShield Lagged Returns
When evaluating Pacer WealthShield's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pacer WealthShield etf have on its future price. Pacer WealthShield autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Pacer WealthShield autocorrelation shows the relationship between Pacer WealthShield etf current value and its past values and can show if there is a momentum factor associated with investing in Pacer WealthShield.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out Pacer WealthShield Correlation, Pacer WealthShield Volatility and Pacer WealthShield Alpha and Beta module to complement your research on Pacer WealthShield. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Pacer WealthShield 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.