Proshares Big Data Etf Market Value
| DAT Etf | USD 47.09 0.16 0.34% |
| Symbol | ProShares |
The market value of ProShares Big Data 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 Big's value that differs from its market value or its book value, called intrinsic value, which is ProShares Big'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 Big's market value can be influenced by many factors that don't directly affect ProShares Big'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 Big's value and its price as these two are different measures arrived at by different means. Investors typically determine if ProShares Big is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ProShares Big'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 Big '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 Big'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 Big.
| 12/24/2022 |
| 12/13/2024 |
If you would invest 0.00 in ProShares Big on December 24, 2022 and sell it all today you would earn a total of 0.00 from holding ProShares Big Data or generate 0.0% return on investment in ProShares Big over 720 days. ProShares Big is related to or competes with ProShares, ProShares, ProShares Smart, ProShares, and JPMorgan Climate. The fund invests in financial instruments that ProShare Advisors believes, in combination, should track the performance ... More
ProShares Big 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 Big'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 Big Data upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.12 | |||
| Information Ratio | 0.2703 | |||
| Maximum Drawdown | 7.05 | |||
| Value At Risk | (1.73) | |||
| Potential Upside | 3.09 |
ProShares Big Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ProShares Big's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ProShares Big's standard deviation. In reality, there are many statistical measures that can use ProShares Big historical prices to predict the future ProShares Big's volatility.| Risk Adjusted Performance | 0.2585 | |||
| Jensen Alpha | 0.3588 | |||
| Total Risk Alpha | 0.2862 | |||
| Sortino Ratio | 0.3429 | |||
| Treynor Ratio | 0.3918 |
ProShares Big Data Backtested Returns
ProShares Big appears to be very steady, given 3 months investment horizon. ProShares Big Data maintains Sharpe Ratio (i.e., Efficiency) of 0.34, which implies the entity had a 0.34% return per unit of risk over the last 3 months. We have found thirty technical indicators for ProShares Big Data, which you can use to evaluate the volatility of the etf. Please evaluate ProShares Big's Risk Adjusted Performance of 0.2585, semi deviation of 0.6511, and Coefficient Of Variation of 286.36 to confirm if our risk estimates are consistent with your expectations. The etf holds a Beta of 1.24, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, ProShares Big will likely underperform.
Auto-correlation | 0.57 |
Modest predictability
ProShares Big Data has modest predictability. Overlapping area represents the amount of predictability between ProShares Big time series from 24th of December 2022 to 19th of December 2023 and 19th of December 2023 to 13th of December 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 ProShares Big Data price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current ProShares Big price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 10.55 |
ProShares Big Data lagged returns against current returns
Autocorrelation, which is ProShares Big 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 Big's etf expected returns. We can calculate the autocorrelation of ProShares Big returns to help us make a trade decision. For example, suppose you find that ProShares Big 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 Big 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 Big etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ProShares Big etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ProShares Big etf over time.
Current vs Lagged Prices |
| Timeline |
ProShares Big Lagged Returns
When evaluating ProShares Big's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ProShares Big etf have on its future price. ProShares Big 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 Big autocorrelation shows the relationship between ProShares Big etf current value and its past values and can show if there is a momentum factor associated with investing in ProShares Big Data.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out ProShares Big Correlation, ProShares Big Volatility and ProShares Big Alpha and Beta module to complement your research on ProShares Big. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
ProShares Big 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.