Guggenheim Large Cap Fund Market Value
| SEGPX Fund | USD 45.45 0.08 0.18% |
| Symbol | Guggenheim |
Guggenheim Large '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 Large'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 Large.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Guggenheim Large on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Guggenheim Large Cap or generate 0.0% return on investment in Guggenheim Large over 30 days. Guggenheim Large is related to or competes with Federated Mdt, Guggenheim Mid, Guggenheim Styleplus, Federated Mdt, and Columbia Select. The fund pursues its objective by investing, under normal circumstances, at least 80 percent of its assets in equity sec... More
Guggenheim Large 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 Large'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 Large Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7064 | |||
| Information Ratio | 0.0305 | |||
| Maximum Drawdown | 3.12 | |||
| Value At Risk | (1.36) | |||
| Potential Upside | 0.9195 |
Guggenheim Large Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Guggenheim Large's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Guggenheim Large's standard deviation. In reality, there are many statistical measures that can use Guggenheim Large historical prices to predict the future Guggenheim Large's volatility.| Risk Adjusted Performance | 0.0854 | |||
| Jensen Alpha | 0.0214 | |||
| Total Risk Alpha | 0.0175 | |||
| Sortino Ratio | 0.0277 | |||
| Treynor Ratio | 0.0807 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Guggenheim Large'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 Large Cap Backtested Returns
We consider Guggenheim Large very steady. Guggenheim Large Cap holds Efficiency (Sharpe) Ratio of 0.13, which attests that the entity had a 0.13% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Guggenheim Large Cap, which you can use to evaluate the volatility of the entity. Please check out Guggenheim Large's Risk Adjusted Performance of 0.0854, market risk adjusted performance of 0.0907, and Downside Deviation of 0.7064 to validate if the risk estimate we provide is consistent with the expected return of 0.0812%. The fund retains a Market Volatility (i.e., Beta) of 0.97, which attests to possible diversification benefits within a given portfolio. Guggenheim Large returns are very sensitive to returns on the market. As the market goes up or down, Guggenheim Large is expected to follow.
Auto-correlation | -0.63 |
Very good reverse predictability
Guggenheim Large Cap has very good reverse predictability. Overlapping area represents the amount of predictability between Guggenheim Large 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 Large Cap price movement. The serial correlation of -0.63 indicates that roughly 63.0% of current Guggenheim Large price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.63 | |
| Spearman Rank Test | -0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 0.57 |
Guggenheim Large Cap lagged returns against current returns
Autocorrelation, which is Guggenheim Large 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 Large's mutual fund expected returns. We can calculate the autocorrelation of Guggenheim Large returns to help us make a trade decision. For example, suppose you find that Guggenheim Large 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 Large 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 Large mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Guggenheim Large 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 Large mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Guggenheim Large Lagged Returns
When evaluating Guggenheim Large's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Guggenheim Large mutual fund have on its future price. Guggenheim Large 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 Large autocorrelation shows the relationship between Guggenheim Large mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Guggenheim Large Cap.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Guggenheim Large in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Guggenheim Large's short interest history, or implied volatility extrapolated from Guggenheim Large options trading.
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Check out Guggenheim Large Correlation, Guggenheim Large Volatility and Guggenheim Large Alpha and Beta module to complement your research on Guggenheim Large. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Guggenheim Large 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.