Proshares Short Dow30 Etf Market Value
| DOG Etf | USD 25.78 0.23 0.88% |
| Symbol | ProShares |
The market value of ProShares Short Dow30 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 Short's value that differs from its market value or its book value, called intrinsic value, which is ProShares Short'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 Short's market value can be influenced by many factors that don't directly affect ProShares Short'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 Short's value and its price as these two are different measures arrived at by different means. Investors typically determine if ProShares Short is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ProShares Short'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 Short '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 Short'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 Short.
| 10/25/2024 |
| 11/24/2024 |
If you would invest 0.00 in ProShares Short on October 25, 2024 and sell it all today you would earn a total of 0.00 from holding ProShares Short Dow30 or generate 0.0% return on investment in ProShares Short over 30 days. ProShares Short is related to or competes with ProShares Short, ProShares Short, ProShares UltraShort, ProShares Short, and ProShares Short. The fund invests in financial instruments that ProShare Advisors believes, in combination, should produce daily returns ... More
ProShares Short 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 Short'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 Short Dow30 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.31) | |||
| Maximum Drawdown | 5.03 | |||
| Value At Risk | (1.07) | |||
| Potential Upside | 0.9815 |
ProShares Short Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ProShares Short's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ProShares Short's standard deviation. In reality, there are many statistical measures that can use ProShares Short historical prices to predict the future ProShares Short's volatility.| Risk Adjusted Performance | (0.10) | |||
| Jensen Alpha | 0.0078 | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | 0.1129 |
ProShares Short Dow30 Backtested Returns
ProShares Short Dow30 maintains Sharpe Ratio (i.e., Efficiency) of -0.11, which implies the entity had a -0.11% return per unit of risk over the last 3 months. ProShares Short Dow30 exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check ProShares Short's Coefficient Of Variation of (747.65), variance of 0.5764, and Risk Adjusted Performance of (0.10) to confirm the risk estimate we provide. The etf holds a Beta of -0.99, which implies possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning ProShares Short are expected to decrease slowly. On the other hand, during market turmoil, ProShares Short is expected to outperform it slightly.
Auto-correlation | 0.65 |
Good predictability
ProShares Short Dow30 has good predictability. Overlapping area represents the amount of predictability between ProShares Short time series from 25th of October 2024 to 9th of November 2024 and 9th of November 2024 to 24th 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 ProShares Short Dow30 price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current ProShares Short price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.65 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
ProShares Short Dow30 lagged returns against current returns
Autocorrelation, which is ProShares Short 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 Short's etf expected returns. We can calculate the autocorrelation of ProShares Short returns to help us make a trade decision. For example, suppose you find that ProShares Short 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 Short 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 Short etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ProShares Short etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ProShares Short etf over time.
Current vs Lagged Prices |
| Timeline |
ProShares Short Lagged Returns
When evaluating ProShares Short's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ProShares Short etf have on its future price. ProShares Short 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 Short autocorrelation shows the relationship between ProShares Short etf current value and its past values and can show if there is a momentum factor associated with investing in ProShares Short Dow30.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether ProShares Short Dow30 is a strong investment it is important to analyze ProShares Short'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 ProShares Short's future performance. For an informed investment choice regarding ProShares Etf, refer to the following important reports:Check out ProShares Short Correlation, ProShares Short Volatility and ProShares Short Alpha and Beta module to complement your research on ProShares Short. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
ProShares Short 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.