Enterprise Mergers And Fund Market Value
| EMAYX Fund | USD 17.11 0.16 0.94% |
| Symbol | Enterprise |
Enterprise Mergers '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 Enterprise Mergers' mutual fund 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 Enterprise Mergers.
| 12/04/2022 |
| 11/23/2024 |
If you would invest 0.00 in Enterprise Mergers on December 4, 2022 and sell it all today you would earn a total of 0.00 from holding Enterprise Mergers And or generate 0.0% return on investment in Enterprise Mergers over 720 days. Enterprise Mergers is related to or competes with Nuveen Minnesota, Nuveen All-american, Maryland Tax-free, T Rowe, Transamerica Intermediate, and Artisan High. The advisor intends to invest primarily in equity securities of companies believed to be likely acquisition targets with... More
Enterprise Mergers 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 Enterprise Mergers' mutual fund 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 Enterprise Mergers And upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5107 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 3.69 | |||
| Value At Risk | (0.82) | |||
| Potential Upside | 0.961 |
Enterprise Mergers Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Enterprise Mergers' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Enterprise Mergers' standard deviation. In reality, there are many statistical measures that can use Enterprise Mergers historical prices to predict the future Enterprise Mergers' volatility.| Risk Adjusted Performance | 0.1092 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.1183 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Enterprise Mergers' 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.
Enterprise Mergers And Backtested Returns
At this stage we consider Enterprise Mutual Fund to be very steady. Enterprise Mergers And secures Sharpe Ratio (or Efficiency) of 0.11, which denotes the fund had a 0.11% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Enterprise Mergers And, which you can use to evaluate the volatility of the entity. Please confirm Enterprise Mergers' Downside Deviation of 0.5107, coefficient of variation of 690.18, and Mean Deviation of 0.4652 to check if the risk estimate we provide is consistent with the expected return of 0.0699%. The fund shows a Beta (market volatility) of 0.7, which means possible diversification benefits within a given portfolio. As returns on the market increase, Enterprise Mergers' returns are expected to increase less than the market. However, during the bear market, the loss of holding Enterprise Mergers is expected to be smaller as well.
Auto-correlation | -0.22 |
Weak reverse predictability
Enterprise Mergers And has weak reverse predictability. Overlapping area represents the amount of predictability between Enterprise Mergers time series from 4th of December 2022 to 29th of November 2023 and 29th of November 2023 to 23rd 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 Enterprise Mergers And price movement. The serial correlation of -0.22 indicates that over 22.0% of current Enterprise Mergers price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.22 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.32 |
Enterprise Mergers And lagged returns against current returns
Autocorrelation, which is Enterprise Mergers mutual fund'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 Enterprise Mergers' mutual fund expected returns. We can calculate the autocorrelation of Enterprise Mergers returns to help us make a trade decision. For example, suppose you find that Enterprise Mergers has exhibited high autocorrelation historically, and you observe that the mutual fund 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 |
Enterprise Mergers 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 Enterprise Mergers mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Enterprise Mergers mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Enterprise Mergers mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Enterprise Mergers Lagged Returns
When evaluating Enterprise Mergers' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Enterprise Mergers mutual fund have on its future price. Enterprise Mergers 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, Enterprise Mergers autocorrelation shows the relationship between Enterprise Mergers mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Enterprise Mergers And.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Enterprise Mutual Fund
Enterprise Mergers financial ratios help investors to determine whether Enterprise Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Enterprise with respect to the benefits of owning Enterprise Mergers security.
| Commodity Directory Find actively traded commodities issued by global exchanges | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| CEOs Directory Screen CEOs from public companies around the world |