Guggenheim Risk Managed Fund Market Value
| GURAX Fund | USD 34.83 0.36 1.04% |
| Symbol | Guggenheim |
Guggenheim Risk '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 Risk'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 Risk.
| 01/31/2024 |
| 11/26/2024 |
If you would invest 0.00 in Guggenheim Risk on January 31, 2024 and sell it all today you would earn a total of 0.00 from holding Guggenheim Risk Managed or generate 0.0% return on investment in Guggenheim Risk over 300 days. Guggenheim Risk is related to or competes with Guggenheim Risk, Real Estate, Cohen, and William Blair. The fund pursues its investment objective by investing, under normal circumstances, at least 80 percent of its assets in long and short equity securities of issuers primarily engaged in the real estate industry, such as real estate investment trusts and equity-like securities, including individual securities, exchange-traded funds and derivatives, giving exposure to issuers primarily engaged in the real estate industry. More
Guggenheim Risk 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 Risk'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 Risk Managed upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6997 | |||
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 3.23 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 1.22 |
Guggenheim Risk Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Guggenheim Risk's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Guggenheim Risk's standard deviation. In reality, there are many statistical measures that can use Guggenheim Risk historical prices to predict the future Guggenheim Risk's volatility.| Risk Adjusted Performance | 0.0626 | |||
| Jensen Alpha | 0.0267 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.1) | |||
| Treynor Ratio | 0.2563 |
Guggenheim Risk Managed Backtested Returns
At this stage we consider Guggenheim Mutual Fund to be very steady. Guggenheim Risk Managed holds Efficiency (Sharpe) Ratio of 0.0866, which attests that the entity had a 0.0866% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Guggenheim Risk Managed, which you can use to evaluate the volatility of the entity. Please check out Guggenheim Risk's Downside Deviation of 0.6997, market risk adjusted performance of 0.2663, and Risk Adjusted Performance of 0.0626 to validate if the risk estimate we provide is consistent with the expected return of 0.0635%. The fund retains a Market Volatility (i.e., Beta) of 0.19, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Guggenheim Risk's returns are expected to increase less than the market. However, during the bear market, the loss of holding Guggenheim Risk is expected to be smaller as well.
Auto-correlation | -0.46 |
Modest reverse predictability
Guggenheim Risk Managed has modest reverse predictability. Overlapping area represents the amount of predictability between Guggenheim Risk time series from 31st of January 2024 to 29th of June 2024 and 29th of June 2024 to 26th 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 Risk Managed price movement. The serial correlation of -0.46 indicates that about 46.0% of current Guggenheim Risk price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 1.47 |
Guggenheim Risk Managed lagged returns against current returns
Autocorrelation, which is Guggenheim Risk 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 Risk's mutual fund expected returns. We can calculate the autocorrelation of Guggenheim Risk returns to help us make a trade decision. For example, suppose you find that Guggenheim Risk 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 Risk 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 Risk mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Guggenheim Risk 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 Risk mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Guggenheim Risk Lagged Returns
When evaluating Guggenheim Risk's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Guggenheim Risk mutual fund have on its future price. Guggenheim Risk 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 Risk autocorrelation shows the relationship between Guggenheim Risk mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Guggenheim Risk Managed.
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 Risk 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 Risk security.
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