Pgim Short Duration Etf Market Value
| PSDM Etf | 51.67 0.02 0.04% |
| Symbol | PGIM |
Understanding PGIM Short Duration requires distinguishing between market price and book value, where the latter reflects PGIM's accounting equity. The concept of intrinsic value - what PGIM Short's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Market sentiment, economic cycles, and investor behavior can push PGIM Short's price substantially above or below its fundamental value.
It's important to distinguish between PGIM Short's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding PGIM Short should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. In contrast, PGIM Short's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
PGIM Short '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 Short'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 Short.
| 11/24/2025 |
| 02/22/2026 |
If you would invest 0.00 in PGIM Short on November 24, 2025 and sell it all today you would earn a total of 0.00 from holding PGIM Short Duration or generate 0.0% return on investment in PGIM Short over 90 days. PGIM Short is related to or competes with Freedom Day, IShares MSCI, SmartETFs Dividend, Elevation Series, First Trust, Vanguard Total, and Man Active. PGIM Short is entity of United States. It is traded as Etf on BATS exchange. More
PGIM Short 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 Short'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 Short Duration upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.0509 | |||
| Information Ratio | (0.91) | |||
| Maximum Drawdown | 0.2718 | |||
| Value At Risk | (0.06) | |||
| Potential Upside | 0.1168 |
PGIM Short Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PGIM Short's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PGIM Short's standard deviation. In reality, there are many statistical measures that can use PGIM Short historical prices to predict the future PGIM Short's volatility.| Risk Adjusted Performance | 0.1895 | |||
| Jensen Alpha | 0.0148 | |||
| Total Risk Alpha | 0.0088 | |||
| Sortino Ratio | (1.10) | |||
| Treynor Ratio | (3.83) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of PGIM Short'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.
PGIM Short February 22, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
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| Price Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | 0.1895 | |||
| Market Risk Adjusted Performance | (3.82) | |||
| Mean Deviation | 0.0506 | |||
| Downside Deviation | 0.0509 | |||
| Coefficient Of Variation | 251.77 | |||
| Standard Deviation | 0.0618 | |||
| Variance | 0.0038 | |||
| Information Ratio | (0.91) | |||
| Jensen Alpha | 0.0148 | |||
| Total Risk Alpha | 0.0088 | |||
| Sortino Ratio | (1.10) | |||
| Treynor Ratio | (3.83) | |||
| Maximum Drawdown | 0.2718 | |||
| Value At Risk | (0.06) | |||
| Potential Upside | 0.1168 | |||
| Downside Variance | 0.0026 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.07) | |||
| Skewness | 0.3056 | |||
| Kurtosis | (0.32) |
PGIM Short Duration Backtested Returns
As of now, PGIM Etf is very steady. PGIM Short Duration maintains Sharpe Ratio (i.e., Efficiency) of 0.35, which implies the entity had a 0.35 % return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for PGIM Short Duration, which you can use to evaluate the volatility of the etf. Please check PGIM Short's risk adjusted performance of 0.1895, and Downside Deviation of 0.0509 to confirm if the risk estimate we provide is consistent with the expected return of 0.0214%. The etf holds a Beta of -0.0038, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning PGIM Short are expected to decrease at a much lower rate. During the bear market, PGIM Short is likely to outperform the market.
Auto-correlation | 0.94 |
Excellent predictability
PGIM Short Duration has excellent predictability. Overlapping area represents the amount of predictability between PGIM Short time series from 24th of November 2025 to 8th of January 2026 and 8th of January 2026 to 22nd 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 PGIM Short Duration price movement. The serial correlation of 0.94 indicates that approximately 94.0% of current PGIM Short price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.94 | |
| Spearman Rank Test | 0.91 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
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PGIM Short 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.