Pgim Rock Etf Market Value
| PBJA Etf | 27.81 0.02 0.07% |
| Symbol | PGIM |
The market value of PGIM Rock ETF 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 Rock's value that differs from its market value or its book value, called intrinsic value, which is PGIM Rock'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 Rock's market value can be influenced by many factors that don't directly affect PGIM Rock'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 Rock's value and its price as these two are different measures arrived at by different means. Investors typically determine if PGIM Rock is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, PGIM Rock'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 Rock '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 Rock'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 Rock.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in PGIM Rock on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding PGIM Rock ETF or generate 0.0% return on investment in PGIM Rock over 30 days. PGIM Rock is related to or competes with FT Vest, Northern Lights, Dimensional International, First Trust, EA Series, FT Cboe, and FT Cboe. PGIM Rock is entity of United States. It is traded as Etf on BATS exchange. More
PGIM Rock 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 Rock'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 Rock ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2235 | |||
| Information Ratio | (0.55) | |||
| Maximum Drawdown | 0.883 | |||
| Value At Risk | (0.22) | |||
| Potential Upside | 0.3257 |
PGIM Rock Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PGIM Rock's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PGIM Rock's standard deviation. In reality, there are many statistical measures that can use PGIM Rock historical prices to predict the future PGIM Rock's volatility.| Risk Adjusted Performance | 0.1355 | |||
| Jensen Alpha | 0.0087 | |||
| Total Risk Alpha | 0.0021 | |||
| Sortino Ratio | (0.40) | |||
| Treynor Ratio | 0.1718 |
PGIM Rock ETF Backtested Returns
At this point, PGIM Rock is very steady. PGIM Rock ETF maintains Sharpe Ratio (i.e., Efficiency) of 0.22, which implies the entity had a 0.22% return per unit of volatility over the last 3 months. We have found twenty-eight technical indicators for PGIM Rock ETF, which you can use to evaluate the volatility of the etf. Please check PGIM Rock's downside deviation of 0.2235, and Risk Adjusted Performance of 0.1355 to confirm if the risk estimate we provide is consistent with the expected return of 0.0348%. The etf holds a Beta of 0.15, which implies not very significant fluctuations relative to the market. As returns on the market increase, PGIM Rock's returns are expected to increase less than the market. However, during the bear market, the loss of holding PGIM Rock is expected to be smaller as well.
Auto-correlation | 0.76 |
Good predictability
PGIM Rock ETF has good predictability. Overlapping area represents the amount of predictability between PGIM Rock time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 Rock ETF price movement. The serial correlation of 0.76 indicates that around 76.0% of current PGIM Rock price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.76 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
PGIM Rock ETF lagged returns against current returns
Autocorrelation, which is PGIM Rock 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 Rock's etf expected returns. We can calculate the autocorrelation of PGIM Rock returns to help us make a trade decision. For example, suppose you find that PGIM Rock 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 Rock 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 Rock etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PGIM Rock etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PGIM Rock etf over time.
Current vs Lagged Prices |
| Timeline |
PGIM Rock Lagged Returns
When evaluating PGIM Rock's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PGIM Rock etf have on its future price. PGIM Rock 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 Rock autocorrelation shows the relationship between PGIM Rock etf current value and its past values and can show if there is a momentum factor associated with investing in PGIM Rock ETF.
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 Rock ETF is a strong investment it is important to analyze PGIM Rock's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact PGIM Rock's future performance. For an informed investment choice regarding PGIM Etf, refer to the following important reports:Check out PGIM Rock Correlation, PGIM Rock Volatility and PGIM Rock Alpha and Beta module to complement your research on PGIM Rock. You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
PGIM Rock 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.