Guggenheim Large Cap Fund Market Value
GILCX Fund | USD 46.65 0.73 1.59% |
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.
04/08/2022 |
| 03/28/2024 |
If you would invest 0.00 in Guggenheim Large on April 8, 2022 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 720 days. Guggenheim Large is related to or competes with Short Real, Fidelity Real, Simt Real, Commonwealth Real, and Us Real. 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 | 0.6095 | |||
Information Ratio | (0.01) | |||
Maximum Drawdown | 2.56 | |||
Value At Risk | (0.86) | |||
Potential Upside | 0.9123 |
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 | 0.1256 | |||
Jensen Alpha | 0.1372 | |||
Total Risk Alpha | (0.01) | |||
Sortino Ratio | (0.01) | |||
Treynor Ratio | (0.92) |
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 0.22, which attests that the entity had a 0.22% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Guggenheim Large Cap, which you can use to evaluate the volatility of the entity. Please check out Guggenheim Large's Market Risk Adjusted Performance of (0.91), risk adjusted performance of 0.1256, and Downside Deviation of 0.6095 to validate if the risk estimate we provide is consistent with the expected return of 0.14%. The fund retains a Market Volatility (i.e., Beta) of -0.13, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Guggenheim Large are expected to decrease at a much lower rate. During the bear market, Guggenheim Large is likely to outperform the market.
Auto-correlation | 0.10 |
Insignificant predictability
Guggenheim Large Cap has insignificant predictability. Overlapping area represents the amount of predictability between Guggenheim Large time series from 8th of April 2022 to 3rd of April 2023 and 3rd of April 2023 to 28th of March 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 0.1 indicates that less than 10.0% of current Guggenheim Large price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.1 | |
Spearman Rank Test | -0.02 | |
Residual Average | 0.0 | |
Price Variance | 3.61 |
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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Try AI Portfolio ArchitectCheck out Guggenheim Large Correlation, Guggenheim Large Volatility and Guggenheim Large Alpha and Beta module to complement your research on Guggenheim Large. Note that the Guggenheim Large Cap information on this page should be used as a complementary analysis to other Guggenheim Large's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Complementary Tools for Guggenheim Mutual Fund analysis
When running Guggenheim Large's price analysis, check to measure Guggenheim Large's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Guggenheim Large is operating at the current time. Most of Guggenheim Large's value examination focuses on studying past and present price action to predict the probability of Guggenheim Large's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Guggenheim Large's price. Additionally, you may evaluate how the addition of Guggenheim Large to your portfolios can decrease your overall portfolio volatility.
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