Pgim Etf Trust Etf Market Value
| PBL Etf | 31.41 0.13 0.42% |
| Symbol | PGIM |
The market value of PGIM ETF Trust is measured differently than its book value, which is the value of PGIM that is recorded on the company's balance sheet. Investors also form their own opinion of PGIM ETF's value that differs from its market value or its book value, called intrinsic value, which is PGIM ETF'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 PGIM ETF's market value can be influenced by many factors that don't directly affect PGIM ETF'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 PGIM ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if PGIM ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, PGIM ETF'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.
PGIM ETF '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 PGIM ETF'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 PGIM ETF.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in PGIM ETF on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding PGIM ETF Trust or generate 0.0% return on investment in PGIM ETF over 90 days. PGIM ETF is related to or competes with Freedom Day, Franklin Templeton, IShares MSCI, Altrius Global, Invesco Exchange, Franklin International, and Madison ETFs. PGIM ETF is entity of United States. It is traded as Etf on BATS exchange. More
PGIM ETF 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 PGIM ETF'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 PGIM ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7082 | |||
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 2.91 | |||
| Value At Risk | (1.07) | |||
| Potential Upside | 0.8098 |
PGIM ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PGIM ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PGIM ETF's standard deviation. In reality, there are many statistical measures that can use PGIM ETF historical prices to predict the future PGIM ETF's volatility.| Risk Adjusted Performance | 0.0424 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0407 |
PGIM ETF January 27, 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 | 0.0424 | |||
| Market Risk Adjusted Performance | 0.0507 | |||
| Mean Deviation | 0.4583 | |||
| Semi Deviation | 0.617 | |||
| Downside Deviation | 0.7082 | |||
| Coefficient Of Variation | 1635.76 | |||
| Standard Deviation | 0.589 | |||
| Variance | 0.347 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0407 | |||
| Maximum Drawdown | 2.91 | |||
| Value At Risk | (1.07) | |||
| Potential Upside | 0.8098 | |||
| Downside Variance | 0.5015 | |||
| Semi Variance | 0.3807 | |||
| Expected Short fall | (0.46) | |||
| Skewness | (0.71) | |||
| Kurtosis | 0.3518 |
PGIM ETF Trust Backtested Returns
As of now, PGIM Etf is very steady. PGIM ETF Trust maintains Sharpe Ratio (i.e., Efficiency) of 0.0164, which implies the entity had a 0.0164 % return per unit of volatility over the last 3 months. We have found thirty technical indicators for PGIM ETF Trust, which you can use to evaluate the volatility of the etf. Please check PGIM ETF's semi deviation of 0.617, and Risk Adjusted Performance of 0.0424 to confirm if the risk estimate we provide is consistent with the expected return of 0.0098%. The etf holds a Beta of 0.64, which implies possible diversification benefits within a given portfolio. As returns on the market increase, PGIM ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding PGIM ETF is expected to be smaller as well.
Auto-correlation | -0.31 |
Poor reverse predictability
PGIM ETF Trust has poor reverse predictability. Overlapping area represents the amount of predictability between PGIM ETF time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th 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 PGIM ETF Trust price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current PGIM ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.31 | |
| Spearman Rank Test | -0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
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PGIM ETF 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.