Proshares Equities For Etf Market Value
| EQRR Etf | USD 57.78 1.28 2.27% |
| Symbol | ProShares |
The market value of ProShares Equities for 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 Equities' value that differs from its market value or its book value, called intrinsic value, which is ProShares Equities' 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 Equities' market value can be influenced by many factors that don't directly affect ProShares Equities' 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 Equities' value and its price as these two are different measures arrived at by different means. Investors typically determine if ProShares Equities is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ProShares Equities' 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 Equities '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 Equities' 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 Equities.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in ProShares Equities on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding ProShares Equities for or generate 0.0% return on investment in ProShares Equities over 90 days. ProShares Equities is related to or competes with First Trust, First Trust, Principal Quality, VictoryShares Discovery, and First Trust. The fund invests in financial instruments that ProShare Advisors believes, in combination, should track the performance ... More
ProShares Equities 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 Equities' 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 Equities for upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0463 | |||
| Maximum Drawdown | 3.88 | |||
| Value At Risk | (1.52) | |||
| Potential Upside | 1.09 |
ProShares Equities Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ProShares Equities' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ProShares Equities' standard deviation. In reality, there are many statistical measures that can use ProShares Equities historical prices to predict the future ProShares Equities' volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | 0.0041 | |||
| Total Risk Alpha | 0.0441 | |||
| Treynor Ratio | (0.10) |
ProShares Equities for Backtested Returns
Currently, ProShares Equities for is very steady. ProShares Equities for maintains Sharpe Ratio (i.e., Efficiency) of close to zero, which implies the entity had a close to zero % return per unit of risk over the last 3 months. We have found twenty-four technical indicators for ProShares Equities for, which you can use to evaluate the volatility of the etf. Please check ProShares Equities' Risk Adjusted Performance of (0.06), coefficient of variation of (1,547), and Variance of 0.7971 to confirm if the risk estimate we provide is consistent with the expected return of 2.0E-4%. The etf holds a Beta of 0.66, which implies possible diversification benefits within a given portfolio. As returns on the market increase, ProShares Equities' returns are expected to increase less than the market. However, during the bear market, the loss of holding ProShares Equities is expected to be smaller as well.
Auto-correlation | -0.62 |
Very good reverse predictability
ProShares Equities for has very good reverse predictability. Overlapping area represents the amount of predictability between ProShares Equities time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 Equities for price movement. The serial correlation of -0.62 indicates that roughly 62.0% of current ProShares Equities price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.62 | |
| Spearman Rank Test | -0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 1.04 |
ProShares Equities for lagged returns against current returns
Autocorrelation, which is ProShares Equities 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 Equities' etf expected returns. We can calculate the autocorrelation of ProShares Equities returns to help us make a trade decision. For example, suppose you find that ProShares Equities 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 Equities 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 Equities etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ProShares Equities etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ProShares Equities etf over time.
Current vs Lagged Prices |
| Timeline |
ProShares Equities Lagged Returns
When evaluating ProShares Equities' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ProShares Equities etf have on its future price. ProShares Equities 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 Equities autocorrelation shows the relationship between ProShares Equities etf current value and its past values and can show if there is a momentum factor associated with investing in ProShares Equities for.
Regressed Prices |
| Timeline |
Pair Trading with ProShares Equities
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 ProShares Equities 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 ProShares Equities will appreciate offsetting losses from the drop in the long position's value.Moving together with ProShares Etf
| 0.79 | VOE | Vanguard Mid Cap | PairCorr |
| 0.71 | IWS | iShares Russell Mid | PairCorr |
| 0.67 | SPYD | SPDR Portfolio SP | PairCorr |
| 0.76 | COWZ | Pacer Cash Cows | PairCorr |
The ability to find closely correlated positions to ProShares Equities could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ProShares Equities 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 ProShares Equities - 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 ProShares Equities for to buy it.
The correlation of ProShares Equities 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 ProShares Equities moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ProShares Equities for 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 ProShares Equities 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 ProShares Equities Correlation, ProShares Equities Volatility and ProShares Equities Alpha and Beta module to complement your research on ProShares Equities. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
ProShares Equities 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.