Guggenheim High Yield Fund Market Value

SHYSX Fund  USD 9.83  0.01  0.10%   
Guggenheim High's market value is the price at which a share of Guggenheim High trades on a public exchange. It measures the collective expectations of Guggenheim High Yield investors about its performance. Guggenheim High is trading at 9.83 as of the 28th of March 2024; that is -0.1 percent decrease since the beginning of the trading day. The fund's open price was 9.84.
With this module, you can estimate the performance of a buy and hold strategy of Guggenheim High Yield and determine expected loss or profit from investing in Guggenheim High over a given investment horizon. Check out Guggenheim High Correlation, Guggenheim High Volatility and Guggenheim High Alpha and Beta module to complement your research on Guggenheim High.
Symbol

Please note, there is a significant difference between Guggenheim High's value and its price as these two are different measures arrived at by different means. Investors typically determine if Guggenheim High is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Guggenheim High's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

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.
0.00
02/27/2024
No Change 0.00  0.0 
In 30 days
03/28/2024
0.00
If you would invest  0.00  in Guggenheim High on February 27, 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 30 days. Guggenheim High is related to or competes with USCF Gold, Guggenheim Investment, Guggenheim Market, Guggenheim Risk, Guggenheim Small, Guggenheim Managed, and Guggenheim Managed. 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.

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.
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.
Hype
Prediction
LowEstimatedHigh
9.659.8310.01
Details
Intrinsic
Valuation
LowRealHigh
9.639.819.99
Details
Naive
Forecast
LowNextHigh
9.629.809.98
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
9.829.839.84
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Guggenheim High. Your research has to be compared to or analyzed against Guggenheim High's peers to derive any actionable benefits. When done correctly, Guggenheim High's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Guggenheim High Yield.

Guggenheim High Yield Backtested Returns

We consider Guggenheim High very steady. Guggenheim High Yield holds Efficiency (Sharpe) Ratio of 0.1, which attests that the entity had a 0.1% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Guggenheim High Yield, which you can use to evaluate the volatility of the entity. Please check out Guggenheim High's Coefficient Of Variation of 618.44, risk adjusted performance of 0.0712, and Market Risk Adjusted Performance of 8.9 to validate if the risk estimate we provide is consistent with the expected return of 0.0183%. The fund retains a Market Volatility (i.e., Beta) of 0.0024, 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

    
  0.49  

Average predictability

Guggenheim High Yield has average predictability. Overlapping area represents the amount of predictability between Guggenheim High time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 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 High Yield price movement. The serial correlation of 0.49 indicates that about 49.0% of current Guggenheim High price fluctuation can be explain by its past prices.
Correlation Coefficient0.49
Spearman Rank Test0.8
Residual Average0.0
Price Variance0.0

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  

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Check out Guggenheim High Correlation, Guggenheim High Volatility and Guggenheim High Alpha and Beta module to complement your research on Guggenheim High.
You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.

Complementary Tools for Guggenheim Mutual Fund analysis

When running Guggenheim High's price analysis, check to measure Guggenheim High'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 High is operating at the current time. Most of Guggenheim High's value examination focuses on studying past and present price action to predict the probability of Guggenheim High'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 High's price. Additionally, you may evaluate how the addition of Guggenheim High to your portfolios can decrease your overall portfolio volatility.
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Guggenheim High 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.
A focus of Guggenheim High technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Guggenheim High trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...