Guggenheim High Yield Fund Market Value
| SIHSX Fund | USD 10.09 0.01 0.1% |
| Symbol | Guggenheim |
Guggenheim High '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 High'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 High.
| 08/05/2024 |
| 02/01/2025 |
If you would invest 0.00 in Guggenheim High on August 5, 2024 and sell it all today you would earn a total of 0.00 from holding Guggenheim High Yield or generate 0.0% return on investment in Guggenheim High over 180 days. Guggenheim High is related to or competes with Vanguard High-yield, Vanguard High-yield, Blackrock, Blackrock High, Blackrock, Blackrock High, and American Funds. The fund invests at least 80 percent of its assets , under normal circumstances, in a broad range of high yield, high risk debt securities rated below the top four long-term rating categories by a nationally recognized statistical rating organization or, if unrated, determined by Security Investors, LLC, also known as Guggenheim Investments , to be of comparable quality . More
Guggenheim High 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 High'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 High Yield upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1743 | |||
| Information Ratio | (0.45) | |||
| Maximum Drawdown | 0.9992 | |||
| Value At Risk | (0.20) | |||
| Potential Upside | 0.3006 |
Guggenheim High Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Guggenheim High's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Guggenheim High's standard deviation. In reality, there are many statistical measures that can use Guggenheim High historical prices to predict the future Guggenheim High's volatility.| Risk Adjusted Performance | 0.072 | |||
| Jensen Alpha | 0.0113 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.44) | |||
| Treynor Ratio | 0.7631 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Guggenheim High'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 High Yield Backtested Returns
At this stage we consider Guggenheim Mutual Fund to be very steady. Guggenheim High Yield holds Efficiency (Sharpe) Ratio of 0.12, which attests that the entity had a 0.12 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Guggenheim High Yield, which you can use to evaluate the volatility of the entity. Please check out Guggenheim High's Risk Adjusted Performance of 0.072, market risk adjusted performance of 0.7731, and Coefficient Of Variation of 756.19 to validate if the risk estimate we provide is consistent with the expected return of 0.0217%. The fund retains a Market Volatility (i.e., Beta) of 0.0168, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Guggenheim High's returns are expected to increase less than the market. However, during the bear market, the loss of holding Guggenheim High is expected to be smaller as well.
Auto-correlation | 0.45 |
Average predictability
Guggenheim High Yield has average predictability. Overlapping area represents the amount of predictability between Guggenheim High time series from 5th of August 2024 to 3rd of November 2024 and 3rd of November 2024 to 1st of February 2025. 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 High Yield price movement. The serial correlation of 0.45 indicates that just about 45.0% of current Guggenheim High price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.45 | |
| Spearman Rank Test | 0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Guggenheim High Yield lagged returns against current returns
Autocorrelation, which is Guggenheim High 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 High's mutual fund expected returns. We can calculate the autocorrelation of Guggenheim High returns to help us make a trade decision. For example, suppose you find that Guggenheim High 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 High 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 High mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Guggenheim High 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 High mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Guggenheim High Lagged Returns
When evaluating Guggenheim High's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Guggenheim High mutual fund have on its future price. Guggenheim High 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 High autocorrelation shows the relationship between Guggenheim High mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Guggenheim High Yield.
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 Guggenheim Mutual Fund
Guggenheim High financial ratios help investors to determine whether Guggenheim 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 Guggenheim with respect to the benefits of owning Guggenheim High security.
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