Guggenheim Mutual Fund Market Value

GIOAX -  USA Fund  

USD 27.13  0.02  0.07%

Guggenheim Macro's market value is the price at which a share of Guggenheim Macro stock trades on a public exchange. It measures the collective expectations of Guggenheim Macro Opportunities investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Guggenheim Macro Opportunities and determine expected loss or profit from investing in Guggenheim Macro over a given investment horizon. Please check Guggenheim Macro Hype Analysis, Guggenheim Macro Correlation, Portfolio Optimization, Guggenheim Macro Volatility, as well as analyze Guggenheim Macro Alpha and Beta and Guggenheim Macro Performance.
Symbol
Backtest

Please note, there is a significant difference between Guggenheim Macro's value and its price as these two are different measures arrived at by different means. Investors typically determine Guggenheim Macro value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Guggenheim Macro'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 Macro '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 Macro'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 Macro.
0.00
08/22/2021
No Change 0.00  0.0 
In 2 months and 2 days
10/21/2021
0.00
If you would invest  0.00  in Guggenheim Macro on August 22, 2021 and sell it all today you would earn a total of 0.00 from holding Guggenheim Macro Opportunities or generate 0.0% return on investment in Guggenheim Macro over 60 days. Guggenheim Macro is related to or competes with Blackrock Strategic, Blackrock Strategic, Templeton Global, Templeton Global, and Tpln Global. The investment seeks to provide total return, comprised of current income and capital appreciation

Guggenheim Macro 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 Macro'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 Macro Opportunities upside and downside potential and time the market with a certain degree of confidence.

Guggenheim Macro Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Guggenheim Macro's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Guggenheim Macro's standard deviation. In reality, there are many statistical measures that can use Guggenheim Macro historical prices to predict the future Guggenheim Macro's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Guggenheim Macro'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. Please use the tools below to analyze the current value of Guggenheim Macro in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
27.0527.1327.21
Details
Intrinsic
Valuation
LowReal ValueHigh
27.0627.1427.22
Details
Naive
Forecast
LowNext ValueHigh
27.1227.2027.28
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
27.1327.1427.16
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Guggenheim Macro. Your research has to be compared to or analyzed against Guggenheim Macro's peers to derive any actionable benefits. When done correctly, Guggenheim Macro's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Guggenheim Macro Opp.

Guggenheim Macro Opp Backtested Returns

We consider Guggenheim Macro very steady. Guggenheim Macro Opp holds Efficiency (Sharpe) Ratio of 0.0217, which attests that the entity had 0.0217% of return per unit of risk over the last 3 months. Our standpoint towards determining the volatility of a fund is to use all available market data together with fund-specific technical indicators that cannot be diversified away. We have found twenty-six technical indicators for Guggenheim Macro Opp, which you can use to evaluate the future volatility of the entity. Please check out Guggenheim Macro risk adjusted performance of (0.13) to validate if the risk estimate we provide is consistent with the expected return of 0.0018%.
The fund retains a Market Volatility (i.e., Beta) of 0.0, which attests to not very significant fluctuations relative to the market. Let's try to break down what Guggenheim's beta means in this case. the returns on MARKET and Guggenheim Macro are completely uncorrelated. Although it is extremely important to respect Guggenheim Macro Opp current price history, it is better to be realistic regarding the information on equity current price movements. The philosophy towards determining future performance of any fund is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By evaluating Guggenheim Macro Opp technical indicators, you can presently evaluate if the expected return of 0.0018% will be sustainable into the future.
AdviceVolatility TrendExposureCorrelations

Auto-correlation

    
  (0.37)   

Poor reverse predictability

Guggenheim Macro Opportunities has poor reverse predictability. Overlapping area represents the amount of predictability between Guggenheim Macro time series from 22nd of August 2021 to 21st of September 2021 and 21st of September 2021 to 21st of October 2021. 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 Macro Opp price movement. The serial correlation of -0.37 indicates that just about 37.0% of current Guggenheim Macro price fluctuation can be explain by its past prices. Given that Guggenheim Macro Opportunities has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of Guggenheim Macro for similar time interval.
Correlation Coefficient-0.37
Spearman Rank Test-0.36
Residual Average0.0
Price Variance0.0

Guggenheim Macro Opp lagged returns against current returns

Autocorrelation, which is Guggenheim Macro 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 Macro's mutual fund expected returns. We can calculate the autocorrelation of Guggenheim Macro returns to help us make a trade decision. For example, suppose you find that Guggenheim Macro mutual fund has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
 Current and Lagged Values 
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      Timeline 

Guggenheim Macro 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 Macro mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Guggenheim Macro 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 Macro mutual fund over time.
 Current vs Lagged Prices 
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      Timeline 

Guggenheim Macro Lagged Returns

When evaluating Guggenheim Macro's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Guggenheim Macro mutual fund have on its future price. Guggenheim Macro 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 Macro autocorrelation shows the relationship between Guggenheim Macro mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Guggenheim Macro Opportunities.
 Regressed Prices 
Share
      Timeline 

Be your own money manager

Our tools can tell you how much better you can do entering a position in Guggenheim Macro without increasing your portfolio risk or giving up expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate.risk-adjusted returns of your individual positions relative to your overall portfolio.

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Becoming a Better Investor with Macroaxis

Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Guggenheim Macro Opp using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.

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Please check Guggenheim Macro Hype Analysis, Guggenheim Macro Correlation, Portfolio Optimization, Guggenheim Macro Volatility, as well as analyze Guggenheim Macro Alpha and Beta and Guggenheim Macro Performance. Note that the Guggenheim Macro Opp information on this page should be used as a complementary analysis to other Guggenheim Macro'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 Focused Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.

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When running Guggenheim Macro Opp price analysis, check to measure Guggenheim Macro'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 Macro is operating at the current time. Most of Guggenheim Macro's value examination focuses on studying past and present price action to predict the probability of Guggenheim Macro's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Guggenheim Macro's price. Additionally, you may evaluate how the addition of Guggenheim Macro to your portfolios can decrease your overall portfolio volatility.
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Guggenheim Macro 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, stock market cycles, or different charting patterns.
A focus of Guggenheim Macro technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Guggenheim Macro 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...