Guggenheim Alpha Opportunity Fund Market Value

SAOCX Fund  USD 19.63  0.08  0.41%   
Guggenheim Alpha's market value is the price at which a share of Guggenheim Alpha trades on a public exchange. It measures the collective expectations of Guggenheim Alpha Opportunity investors about its performance. Guggenheim Alpha is trading at 19.63 as of the 25th of November 2024; that is 0.41 percent increase since the beginning of the trading day. The fund's open price was 19.55.
With this module, you can estimate the performance of a buy and hold strategy of Guggenheim Alpha Opportunity and determine expected loss or profit from investing in Guggenheim Alpha over a given investment horizon. Check out Guggenheim Alpha Correlation, Guggenheim Alpha Volatility and Guggenheim Alpha Alpha and Beta module to complement your research on Guggenheim Alpha.
Symbol

Please note, there is a significant difference between Guggenheim Alpha's value and its price as these two are different measures arrived at by different means. Investors typically determine if Guggenheim Alpha is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Guggenheim Alpha'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 Alpha '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 Alpha'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 Alpha.
0.00
12/06/2022
No Change 0.00  0.0 
In 1 year 11 months and 21 days
11/25/2024
0.00
If you would invest  0.00  in Guggenheim Alpha on December 6, 2022 and sell it all today you would earn a total of 0.00 from holding Guggenheim Alpha Opportunity or generate 0.0% return on investment in Guggenheim Alpha over 720 days. The fund pursues its objective by investing, under normal market conditions, in long and short positions of domestic equ... More

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

Guggenheim Alpha Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Guggenheim Alpha's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Guggenheim Alpha's standard deviation. In reality, there are many statistical measures that can use Guggenheim Alpha historical prices to predict the future Guggenheim Alpha'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 Alpha'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
19.0519.6320.21
Details
Intrinsic
Valuation
LowRealHigh
18.9219.5020.08
Details
Naive
Forecast
LowNextHigh
18.9419.5220.10
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
19.5319.6019.68
Details

Guggenheim Alpha Opp Backtested Returns

At this stage we consider Guggenheim Mutual Fund to be very steady. Guggenheim Alpha Opp holds Efficiency (Sharpe) Ratio of 0.0856, which attests that the entity had a 0.0856% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Guggenheim Alpha Opp, which you can use to evaluate the volatility of the entity. Please check out Guggenheim Alpha's Downside Deviation of 0.5433, risk adjusted performance of 0.0809, and Market Risk Adjusted Performance of 0.1097 to validate if the risk estimate we provide is consistent with the expected return of 0.0502%. The fund retains a Market Volatility (i.e., Beta) of 0.55, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Guggenheim Alpha's returns are expected to increase less than the market. However, during the bear market, the loss of holding Guggenheim Alpha is expected to be smaller as well.

Auto-correlation

    
  0.76  

Good predictability

Guggenheim Alpha Opportunity has good predictability. Overlapping area represents the amount of predictability between Guggenheim Alpha time series from 6th of December 2022 to 1st of December 2023 and 1st of December 2023 to 25th of November 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 Alpha Opp price movement. The serial correlation of 0.76 indicates that around 76.0% of current Guggenheim Alpha price fluctuation can be explain by its past prices.
Correlation Coefficient0.76
Spearman Rank Test0.75
Residual Average0.0
Price Variance0.51

Guggenheim Alpha Opp lagged returns against current returns

Autocorrelation, which is Guggenheim Alpha 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 Alpha's mutual fund expected returns. We can calculate the autocorrelation of Guggenheim Alpha returns to help us make a trade decision. For example, suppose you find that Guggenheim Alpha 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 Alpha 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 Alpha mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Guggenheim Alpha 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 Alpha mutual fund over time.
   Current vs Lagged Prices   
       Timeline  

Guggenheim Alpha Lagged Returns

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

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Other Information on Investing in Guggenheim Mutual Fund

Guggenheim Alpha 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 Alpha security.
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