Guggenheim Mid Cap Fund Market Value
| SEVSX Fund | USD 22.46 0.01 0.04% |
| Symbol | Guggenheim |
Guggenheim Mid '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 Guggenheim Mid's 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 Guggenheim Mid.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Guggenheim Mid on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Guggenheim Mid Cap or generate 0.0% return on investment in Guggenheim Mid over 30 days. Guggenheim Mid is related to or competes with Prudential Jennison, Prudential Jennison, Prudential Jennison, Prudential Total, and Prudential Qma. The fund pursues its objective by investing, under normal circumstances, at least 80 percent of its assets in a diversified portfolio of equity securities, which include common stocks, rights, options, warrants, convertible debt securities, and American Depositary Receipts , that, when purchased, have market capitalizations that are usually within the range of companies in the Russell 2500 Value Index. More
Guggenheim Mid 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 Guggenheim Mid's 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 Guggenheim Mid Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9353 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 4.4 | |||
| Value At Risk | (1.50) | |||
| Potential Upside | 1.34 |
Guggenheim Mid Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Guggenheim Mid's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Guggenheim Mid's standard deviation. In reality, there are many statistical measures that can use Guggenheim Mid historical prices to predict the future Guggenheim Mid's volatility.| Risk Adjusted Performance | 0.0252 | |||
| Jensen Alpha | 0.0257 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | (0.33) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Guggenheim Mid'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.
Guggenheim Mid Cap Backtested Returns
We consider Guggenheim Mid very steady. Guggenheim Mid Cap holds Efficiency (Sharpe) Ratio of 0.0191, which attests that the entity had a 0.0191% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Guggenheim Mid Cap, which you can use to evaluate the volatility of the entity. Please check out Guggenheim Mid's Risk Adjusted Performance of 0.0252, downside deviation of 0.9353, and Market Risk Adjusted Performance of (0.32) to validate if the risk estimate we provide is consistent with the expected return of 0.0168%. The fund retains a Market Volatility (i.e., Beta) of -0.0661, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Guggenheim Mid are expected to decrease at a much lower rate. During the bear market, Guggenheim Mid is likely to outperform the market.
Auto-correlation | -0.37 |
Poor reverse predictability
Guggenheim Mid Cap has poor reverse predictability. Overlapping area represents the amount of predictability between Guggenheim Mid time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 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 Guggenheim Mid Cap price movement. The serial correlation of -0.37 indicates that just about 37.0% of current Guggenheim Mid price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.37 | |
| Spearman Rank Test | -0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 0.25 |
Guggenheim Mid Cap lagged returns against current returns
Autocorrelation, which is Guggenheim Mid 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 Guggenheim Mid's mutual fund expected returns. We can calculate the autocorrelation of Guggenheim Mid returns to help us make a trade decision. For example, suppose you find that Guggenheim Mid 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 |
Guggenheim Mid 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 Guggenheim Mid mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Guggenheim Mid mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Guggenheim Mid mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Guggenheim Mid Lagged Returns
When evaluating Guggenheim Mid's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Guggenheim Mid mutual fund have on its future price. Guggenheim Mid 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, Guggenheim Mid autocorrelation shows the relationship between Guggenheim Mid mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Guggenheim Mid Cap.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Guggenheim Mid Correlation, Guggenheim Mid Volatility and Guggenheim Mid Alpha and Beta module to complement your research on Guggenheim Mid. You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Guggenheim Mid technical mutual fund 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, fund market cycles, or different charting patterns.