Proshares Msci Emerging Etf Market Value
| EMDV Etf | USD 44.07 0.05 0.11% |
| Symbol | ProShares |
The market value of ProShares MSCI Emerging 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 MSCI's value that differs from its market value or its book value, called intrinsic value, which is ProShares MSCI'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 MSCI's market value can be influenced by many factors that don't directly affect ProShares MSCI'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 MSCI's value and its price as these two are different measures arrived at by different means. Investors typically determine if ProShares MSCI is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ProShares MSCI'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 MSCI '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 MSCI'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 MSCI.
| 08/28/2024 |
| 11/26/2024 |
If you would invest 0.00 in ProShares MSCI on August 28, 2024 and sell it all today you would earn a total of 0.00 from holding ProShares MSCI Emerging or generate 0.0% return on investment in ProShares MSCI over 90 days. ProShares MSCI is related to or competes with Invesco PureBeta, Morningstar Unconstrained, High-yield Municipal, Thrivent High, Via Renewables, T Rowe, and Jpmorgan Smartretirement*. Under normal circumstances, the fund will invest at least 80 percent of its total assets in component securities More
ProShares MSCI 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 MSCI'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 MSCI Emerging upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.61 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 10.9 | |||
| Value At Risk | (2.68) | |||
| Potential Upside | 3.06 |
ProShares MSCI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ProShares MSCI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ProShares MSCI's standard deviation. In reality, there are many statistical measures that can use ProShares MSCI historical prices to predict the future ProShares MSCI's volatility.| Risk Adjusted Performance | 0.0361 | |||
| Jensen Alpha | 0.0216 | |||
| Total Risk Alpha | (0.20) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.1957 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ProShares MSCI's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
ProShares MSCI Emerging Backtested Returns
At this stage we consider ProShares Etf to be very steady. ProShares MSCI Emerging maintains Sharpe Ratio (i.e., Efficiency) of 0.0314, which implies the entity had a 0.0314% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for ProShares MSCI Emerging, which you can use to evaluate the volatility of the etf. Please check ProShares MSCI's Coefficient Of Variation of 2493.63, semi deviation of 1.55, and Risk Adjusted Performance of 0.0361 to confirm if the risk estimate we provide is consistent with the expected return of 0.0531%. The etf holds a Beta of 0.29, which implies not very significant fluctuations relative to the market. As returns on the market increase, ProShares MSCI's returns are expected to increase less than the market. However, during the bear market, the loss of holding ProShares MSCI is expected to be smaller as well.
Auto-correlation | -0.64 |
Very good reverse predictability
ProShares MSCI Emerging has very good reverse predictability. Overlapping area represents the amount of predictability between ProShares MSCI time series from 28th of August 2024 to 12th of October 2024 and 12th of October 2024 to 26th 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 MSCI Emerging price movement. The serial correlation of -0.64 indicates that roughly 64.0% of current ProShares MSCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.64 | |
| Spearman Rank Test | -0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 0.53 |
ProShares MSCI Emerging lagged returns against current returns
Autocorrelation, which is ProShares MSCI 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 MSCI's etf expected returns. We can calculate the autocorrelation of ProShares MSCI returns to help us make a trade decision. For example, suppose you find that ProShares MSCI 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 MSCI 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 MSCI etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ProShares MSCI etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ProShares MSCI etf over time.
Current vs Lagged Prices |
| Timeline |
ProShares MSCI Lagged Returns
When evaluating ProShares MSCI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ProShares MSCI etf have on its future price. ProShares MSCI 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 MSCI autocorrelation shows the relationship between ProShares MSCI etf current value and its past values and can show if there is a momentum factor associated with investing in ProShares MSCI Emerging.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out ProShares MSCI Correlation, ProShares MSCI Volatility and ProShares MSCI Alpha and Beta module to complement your research on ProShares MSCI. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
ProShares MSCI 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.