Pgim Etf Trust Etf Market Value
| PAAA Etf | 51.35 0.02 0.04% |
| 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.
| 12/05/2022 |
| 11/24/2024 |
If you would invest 0.00 in PGIM ETF on December 5, 2022 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 720 days. PGIM ETF is related to or competes with First Trust, Vanguard Intermediate, Vanguard Long, Vanguard Short, IDX Dynamic, First Trust, and Neuberger Berman. PGIM ETF is entity of United States. It is traded as Etf on NYSE ARCA 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 | 0.0405 | |||
| Information Ratio | (2.66) | |||
| Maximum Drawdown | 0.1966 | |||
| Value At Risk | (0.04) | |||
| Potential Upside | 0.0975 |
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 | 0.382 | |||
| Jensen Alpha | 0.0172 | |||
| Total Risk Alpha | 0.0126 | |||
| Sortino Ratio | (2.52) | |||
| Treynor Ratio | 1.63 |
PGIM ETF Trust Backtested Returns
At this point, PGIM ETF is very steady. PGIM ETF Trust maintains Sharpe Ratio (i.e., Efficiency) of 0.72, which implies the entity had a 0.72% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for PGIM ETF Trust, which you can use to evaluate the volatility of the etf. Please check PGIM ETF's risk adjusted performance of 0.382, and Downside Deviation of 0.0405 to confirm if the risk estimate we provide is consistent with the expected return of 0.0278%. The etf holds a Beta of 0.0114, which implies not very significant fluctuations relative to the market. 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 | -0.12 |
Insignificant reverse predictability
PGIM ETF Trust has insignificant reverse predictability. Overlapping area represents the amount of predictability between PGIM ETF time series from 5th of December 2022 to 30th of November 2023 and 30th of November 2023 to 24th of November 2024. 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 -0.12 indicates that less than 12.0% of current PGIM ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.12 | |
| Spearman Rank Test | -0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 9.64 |
PGIM ETF Trust lagged returns against current returns
Autocorrelation, which is PGIM ETF 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 PGIM ETF's etf expected returns. We can calculate the autocorrelation of PGIM ETF returns to help us make a trade decision. For example, suppose you find that PGIM ETF 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 |
PGIM ETF 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 PGIM ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PGIM ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PGIM ETF etf over time.
Current vs Lagged Prices |
| Timeline |
PGIM ETF Lagged Returns
When evaluating PGIM ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PGIM ETF etf have on its future price. PGIM ETF 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, PGIM ETF autocorrelation shows the relationship between PGIM ETF etf current value and its past values and can show if there is a momentum factor associated with investing in PGIM ETF Trust.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether PGIM ETF Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of PGIM ETF's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Pgim Etf Trust Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Pgim Etf Trust Etf:Check out PGIM ETF Correlation, PGIM ETF Volatility and PGIM ETF Alpha and Beta module to complement your research on PGIM ETF. You can also try the Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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.