Pgim Large Cap Buffer Etf Market Value
| OCTP Etf | 27.09 0.12 0.44% |
| Symbol | PGIM |
The market value of PGIM Large Cap 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 Large's value that differs from its market value or its book value, called intrinsic value, which is PGIM Large'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 Large's market value can be influenced by many factors that don't directly affect PGIM Large'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 Large's value and its price as these two are different measures arrived at by different means. Investors typically determine if PGIM Large is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, PGIM Large'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 Large '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 Large'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 Large.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in PGIM Large on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding PGIM Large Cap Buffer or generate 0.0% return on investment in PGIM Large over 180 days. PGIM Large is related to or competes with FT Vest, Northern Lights, Dimensional International, Matthews China, Davis Select, First Trust, and EA Series. PGIM Large is entity of United States. It is traded as Etf on BATS exchange. More
PGIM Large 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 Large'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 Large Cap Buffer upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4885 | |||
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 2.19 | |||
| Value At Risk | (0.67) | |||
| Potential Upside | 0.5823 |
PGIM Large Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PGIM Large's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PGIM Large's standard deviation. In reality, there are many statistical measures that can use PGIM Large historical prices to predict the future PGIM Large's volatility.| Risk Adjusted Performance | 0.1167 | |||
| Jensen Alpha | 0.0021 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.15) | |||
| Treynor Ratio | 0.1326 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of PGIM Large'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 Large Cap Backtested Returns
Currently, PGIM Large Cap Buffer is very steady. PGIM Large Cap maintains Sharpe Ratio (i.e., Efficiency) of 0.19, which implies the entity had a 0.19% return per unit of volatility over the last 3 months. We have found twenty-eight technical indicators for PGIM Large Cap, which you can use to evaluate the volatility of the etf. Please check PGIM Large's risk adjusted performance of 0.1167, and Semi Deviation of 0.2886 to confirm if the risk estimate we provide is consistent with the expected return of 0.0746%. The etf holds a Beta of 0.42, which implies possible diversification benefits within a given portfolio. As returns on the market increase, PGIM Large's returns are expected to increase less than the market. However, during the bear market, the loss of holding PGIM Large is expected to be smaller as well.
Auto-correlation | 0.74 |
Good predictability
PGIM Large Cap Buffer has good predictability. Overlapping area represents the amount of predictability between PGIM Large time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th 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 Large Cap price movement. The serial correlation of 0.74 indicates that around 74.0% of current PGIM Large price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.62 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
PGIM Large Cap lagged returns against current returns
Autocorrelation, which is PGIM Large 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 Large's etf expected returns. We can calculate the autocorrelation of PGIM Large returns to help us make a trade decision. For example, suppose you find that PGIM Large 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 Large 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 Large etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PGIM Large etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PGIM Large etf over time.
Current vs Lagged Prices |
| Timeline |
PGIM Large Lagged Returns
When evaluating PGIM Large's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PGIM Large etf have on its future price. PGIM Large 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 Large autocorrelation shows the relationship between PGIM Large etf current value and its past values and can show if there is a momentum factor associated with investing in PGIM Large Cap Buffer.
Regressed Prices |
| Timeline |
Pair Trading with PGIM Large
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if PGIM Large position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in PGIM Large will appreciate offsetting losses from the drop in the long position's value.Moving together with PGIM Etf
| 0.99 | BUFR | First Trust Cboe | PairCorr |
| 0.99 | BUFD | FT Cboe Vest | PairCorr |
| 0.99 | PSEP | Innovator SP 500 | PairCorr |
| 0.97 | PJAN | Innovator SP 500 | PairCorr |
The ability to find closely correlated positions to PGIM Large could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace PGIM Large when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back PGIM Large - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling PGIM Large Cap Buffer to buy it.
The correlation of PGIM Large is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as PGIM Large moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if PGIM Large Cap moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for PGIM Large can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out PGIM Large Correlation, PGIM Large Volatility and PGIM Large Alpha and Beta module to complement your research on PGIM Large. You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
PGIM Large 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.