Pgim Nasdaq 100 Buffer Etf Market Value
PQOC Etf | 26.98 0.09 0.33% |
Symbol | PGIM |
The market value of PGIM Nasdaq 100 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 Nasdaq's value that differs from its market value or its book value, called intrinsic value, which is PGIM Nasdaq'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 Nasdaq's market value can be influenced by many factors that don't directly affect PGIM Nasdaq'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 Nasdaq's value and its price as these two are different measures arrived at by different means. Investors typically determine if PGIM Nasdaq is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, PGIM Nasdaq'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 Nasdaq '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 Nasdaq'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 Nasdaq.
05/09/2025 |
| 08/07/2025 |
If you would invest 0.00 in PGIM Nasdaq on May 9, 2025 and sell it all today you would earn a total of 0.00 from holding PGIM Nasdaq 100 Buffer or generate 0.0% return on investment in PGIM Nasdaq over 90 days. PGIM Nasdaq is related to or competes with FT Vest, Northern Lights, Dimensional International, First Trust, ProShares Trust, EA Series, and FT Cboe. PGIM Nasdaq is entity of United States. It is traded as Etf on US exchange. More
PGIM Nasdaq 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 Nasdaq'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 Nasdaq 100 Buffer upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.4429 | |||
Information Ratio | 0.0864 | |||
Maximum Drawdown | 3.27 | |||
Value At Risk | (0.50) | |||
Potential Upside | 0.9395 |
PGIM Nasdaq Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PGIM Nasdaq's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PGIM Nasdaq's standard deviation. In reality, there are many statistical measures that can use PGIM Nasdaq historical prices to predict the future PGIM Nasdaq's volatility.Risk Adjusted Performance | 0.2258 | |||
Jensen Alpha | 0.152 | |||
Total Risk Alpha | 0.0776 | |||
Sortino Ratio | 0.0986 | |||
Treynor Ratio | (0.99) |
PGIM Nasdaq 100 Backtested Returns
At this point, PGIM Nasdaq is very steady. PGIM Nasdaq 100 maintains Sharpe Ratio (i.e., Efficiency) of 0.29, which implies the entity had a 0.29 % return per unit of volatility over the last 3 months. We have found twenty-six technical indicators for PGIM Nasdaq 100, which you can use to evaluate the volatility of the etf. Please check PGIM Nasdaq's risk adjusted performance of 0.2258, and Downside Deviation of 0.4429 to confirm if the risk estimate we provide is consistent with the expected return of 0.15%. The etf holds a Beta of -0.14, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning PGIM Nasdaq are expected to decrease at a much lower rate. During the bear market, PGIM Nasdaq is likely to outperform the market.
Auto-correlation | 0.89 |
Very good predictability
PGIM Nasdaq 100 Buffer has very good predictability. Overlapping area represents the amount of predictability between PGIM Nasdaq time series from 9th of May 2025 to 23rd of June 2025 and 23rd of June 2025 to 7th of August 2025. 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 Nasdaq 100 price movement. The serial correlation of 0.89 indicates that approximately 89.0% of current PGIM Nasdaq price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.89 | |
Spearman Rank Test | 0.86 | |
Residual Average | 0.0 | |
Price Variance | 0.07 |
PGIM Nasdaq 100 lagged returns against current returns
Autocorrelation, which is PGIM Nasdaq 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 Nasdaq's etf expected returns. We can calculate the autocorrelation of PGIM Nasdaq returns to help us make a trade decision. For example, suppose you find that PGIM Nasdaq 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 Nasdaq 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 Nasdaq etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PGIM Nasdaq etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PGIM Nasdaq etf over time.
Current vs Lagged Prices |
Timeline |
PGIM Nasdaq Lagged Returns
When evaluating PGIM Nasdaq's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PGIM Nasdaq etf have on its future price. PGIM Nasdaq 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 Nasdaq autocorrelation shows the relationship between PGIM Nasdaq etf current value and its past values and can show if there is a momentum factor associated with investing in PGIM Nasdaq 100 Buffer.
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 Nasdaq 100 offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of PGIM Nasdaq'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 Nasdaq 100 Buffer Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Pgim Nasdaq 100 Buffer Etf:Check out PGIM Nasdaq Correlation, PGIM Nasdaq Volatility and PGIM Nasdaq Alpha and Beta module to complement your research on PGIM Nasdaq. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
PGIM Nasdaq 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.