Proshares Nasdaq 100 Dynamic Etf Market Value
| QB Etf | 42.39 0.16 0.38% |
| Symbol | ProShares |
The market value of ProShares Nasdaq 100 is measured differently than its book value, which is the value of ProShares that is recorded on the company's balance sheet. Investors also form their own opinion of ProShares Nasdaq's value that differs from its market value or its book value, called intrinsic value, which is ProShares 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 ProShares Nasdaq's market value can be influenced by many factors that don't directly affect ProShares 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 ProShares Nasdaq's value and its price as these two are different measures arrived at by different means. Investors typically determine if ProShares Nasdaq is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ProShares 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.
ProShares 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 ProShares 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 ProShares Nasdaq.
| 11/25/2025 |
| 12/25/2025 |
If you would invest 0.00 in ProShares Nasdaq on November 25, 2025 and sell it all today you would earn a total of 0.00 from holding ProShares Nasdaq 100 Dynamic or generate 0.0% return on investment in ProShares Nasdaq over 30 days. ProShares Nasdaq is related to or competes with ProShares Decline, Federated Hermes, WisdomTree BioRevolution, Direxion Daily, STKd 100, IShares IBonds, and Leverage Shares. ProShares Nasdaq is entity of United States More
ProShares 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 ProShares 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 ProShares Nasdaq 100 Dynamic upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3741 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 2.46 | |||
| Value At Risk | (0.54) | |||
| Potential Upside | 0.7332 |
ProShares Nasdaq Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ProShares Nasdaq's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ProShares Nasdaq's standard deviation. In reality, there are many statistical measures that can use ProShares Nasdaq historical prices to predict the future ProShares Nasdaq's volatility.| Risk Adjusted Performance | 0.0645 | |||
| Jensen Alpha | 0.012 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.0927 |
ProShares Nasdaq 100 Backtested Returns
At this point, ProShares Nasdaq is very steady. ProShares Nasdaq 100 maintains Sharpe Ratio (i.e., Efficiency) of 0.0985, which implies the entity had a 0.0985 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for ProShares Nasdaq 100, which you can use to evaluate the volatility of the etf. Please check ProShares Nasdaq's Semi Deviation of 0.282, risk adjusted performance of 0.0645, and Coefficient Of Variation of 983.43 to confirm if the risk estimate we provide is consistent with the expected return of 0.0423%. The etf holds a Beta of 0.35, which implies possible diversification benefits within a given portfolio. As returns on the market increase, ProShares Nasdaq's returns are expected to increase less than the market. However, during the bear market, the loss of holding ProShares Nasdaq is expected to be smaller as well.
Auto-correlation | -0.58 |
Good reverse predictability
ProShares Nasdaq 100 Dynamic has good reverse predictability. Overlapping area represents the amount of predictability between ProShares Nasdaq time series from 25th of November 2025 to 10th of December 2025 and 10th of December 2025 to 25th of December 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 ProShares Nasdaq 100 price movement. The serial correlation of -0.58 indicates that roughly 58.0% of current ProShares Nasdaq price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.58 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
ProShares Nasdaq 100 lagged returns against current returns
Autocorrelation, which is ProShares 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 ProShares Nasdaq's etf expected returns. We can calculate the autocorrelation of ProShares Nasdaq returns to help us make a trade decision. For example, suppose you find that ProShares 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 |
ProShares 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 ProShares Nasdaq etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ProShares Nasdaq etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ProShares Nasdaq etf over time.
Current vs Lagged Prices |
| Timeline |
ProShares Nasdaq Lagged Returns
When evaluating ProShares Nasdaq's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ProShares Nasdaq etf have on its future price. ProShares 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, ProShares Nasdaq autocorrelation shows the relationship between ProShares Nasdaq etf current value and its past values and can show if there is a momentum factor associated with investing in ProShares Nasdaq 100 Dynamic.
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.Check out ProShares Nasdaq Correlation, ProShares Nasdaq Volatility and ProShares Nasdaq Alpha and Beta module to complement your research on ProShares Nasdaq. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
ProShares 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.