Proshares Merger Etf Market Value
| MRGR Etf | USD 42.22 0.13 0.31% |
| Symbol | ProShares |
The market value of ProShares Merger ETF 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 Merger's value that differs from its market value or its book value, called intrinsic value, which is ProShares Merger'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 Merger's market value can be influenced by many factors that don't directly affect ProShares Merger'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 Merger's value and its price as these two are different measures arrived at by different means. Investors typically determine if ProShares Merger is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ProShares Merger'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 Merger '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 Merger'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 Merger.
| 12/05/2022 |
| 11/24/2024 |
If you would invest 0.00 in ProShares Merger on December 5, 2022 and sell it all today you would earn a total of 0.00 from holding ProShares Merger ETF or generate 0.0% return on investment in ProShares Merger over 720 days. ProShares Merger is related to or competes with Albany International, Acadia Realty, AptarGroup, Applied Industrial, and Harte Hanks. The fund is designed to track the performance of the index and provide exposure to a global merger arbitrage strategy More
ProShares Merger 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 Merger'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 Merger ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2711 | |||
| Information Ratio | (0.45) | |||
| Maximum Drawdown | 1.61 | |||
| Value At Risk | (0.26) | |||
| Potential Upside | 0.3112 |
ProShares Merger Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ProShares Merger's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ProShares Merger's standard deviation. In reality, there are many statistical measures that can use ProShares Merger historical prices to predict the future ProShares Merger's volatility.| Risk Adjusted Performance | 0.0863 | |||
| Jensen Alpha | 0.0167 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.37) | |||
| Treynor Ratio | 0.5139 |
ProShares Merger ETF Backtested Returns
Currently, ProShares Merger ETF is very steady. ProShares Merger ETF maintains Sharpe Ratio (i.e., Efficiency) of 0.15, which implies the entity had a 0.15% return per unit of risk over the last 3 months. We have found thirty technical indicators for ProShares Merger ETF, which you can use to evaluate the volatility of the etf. Please check ProShares Merger's Coefficient Of Variation of 688.66, risk adjusted performance of 0.0863, and Semi Deviation of 0.1222 to confirm if the risk estimate we provide is consistent with the expected return of 0.0338%. The etf holds a Beta of 0.0424, which implies not very significant fluctuations relative to the market. As returns on the market increase, ProShares Merger's returns are expected to increase less than the market. However, during the bear market, the loss of holding ProShares Merger is expected to be smaller as well.
Auto-correlation | 0.87 |
Very good predictability
ProShares Merger ETF has very good predictability. Overlapping area represents the amount of predictability between ProShares Merger time series from 5th of December 2022 to 30th of November 2023 and 30th of November 2023 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 Merger ETF price movement. The serial correlation of 0.87 indicates that approximately 87.0% of current ProShares Merger price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.87 | |
| Spearman Rank Test | 0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.75 |
ProShares Merger ETF lagged returns against current returns
Autocorrelation, which is ProShares Merger 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 Merger's etf expected returns. We can calculate the autocorrelation of ProShares Merger returns to help us make a trade decision. For example, suppose you find that ProShares Merger 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 Merger 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 Merger etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ProShares Merger etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ProShares Merger etf over time.
Current vs Lagged Prices |
| Timeline |
ProShares Merger Lagged Returns
When evaluating ProShares Merger's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ProShares Merger etf have on its future price. ProShares Merger 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 Merger autocorrelation shows the relationship between ProShares Merger etf current value and its past values and can show if there is a momentum factor associated with investing in ProShares Merger ETF.
Regressed Prices |
| Timeline |
Pair Trading with ProShares Merger
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 Merger 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 Merger will appreciate offsetting losses from the drop in the long position's value.Moving together with ProShares Etf
Moving against ProShares Etf
| 0.56 | HART | IQ Healthy Hearts | PairCorr |
| 0.53 | BITI | ProShares Trust | PairCorr |
| 0.32 | GREI | Goldman Sachs Future | PairCorr |
The ability to find closely correlated positions to ProShares Merger 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 Merger 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 Merger - 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 Merger ETF to buy it.
The correlation of ProShares Merger 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 Merger moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ProShares Merger ETF 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 Merger 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 Merger Correlation, ProShares Merger Volatility and ProShares Merger Alpha and Beta module to complement your research on ProShares Merger. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
ProShares Merger 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.