Guggenheim Multi Hedge Strategies Fund Market Value
| RYMRX Fund | USD 24.80 0.04 0.16% |
| Symbol | Guggenheim |
Guggenheim Multi '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 Multi'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 Multi.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Guggenheim Multi on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Guggenheim Multi Hedge Strategies or generate 0.0% return on investment in Guggenheim Multi over 30 days. Guggenheim Multi is related to or competes with Guggenheim Diversified, Guggenheim Risk, Guggenheim Risk, Guggenheim Risk, Guggenheim Risk, Guggenheim Total, and Guggenheim Floating. The fund pursues multiple investment styles or mandates that correspond to investment strategies widely employed by hedg... More
Guggenheim Multi 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 Multi'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 Multi Hedge Strategies upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3153 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 1.33 | |||
| Value At Risk | (0.48) | |||
| Potential Upside | 0.5328 |
Guggenheim Multi Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Guggenheim Multi's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Guggenheim Multi's standard deviation. In reality, there are many statistical measures that can use Guggenheim Multi historical prices to predict the future Guggenheim Multi's volatility.| Risk Adjusted Performance | 0.0929 | |||
| Jensen Alpha | 0.0297 | |||
| Total Risk Alpha | 0.012 | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.2158 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Guggenheim Multi'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 Multi Hedge Backtested Returns
We consider Guggenheim Multi very steady. Guggenheim Multi Hedge holds Efficiency (Sharpe) Ratio of 0.13, which attests that the entity had a 0.13% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Guggenheim Multi Hedge, which you can use to evaluate the volatility of the entity. Please check out Guggenheim Multi's Market Risk Adjusted Performance of 0.2258, downside deviation of 0.3153, and Risk Adjusted Performance of 0.0929 to validate if the risk estimate we provide is consistent with the expected return of 0.0393%. 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 Multi's returns are expected to increase less than the market. However, during the bear market, the loss of holding Guggenheim Multi is expected to be smaller as well.
Auto-correlation | -0.82 |
Excellent reverse predictability
Guggenheim Multi Hedge Strategies has excellent reverse predictability. Overlapping area represents the amount of predictability between Guggenheim Multi time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 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 Multi Hedge price movement. The serial correlation of -0.82 indicates that around 82.0% of current Guggenheim Multi price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.82 | |
| Spearman Rank Test | -0.8 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Guggenheim Multi Hedge lagged returns against current returns
Autocorrelation, which is Guggenheim Multi 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 Multi's mutual fund expected returns. We can calculate the autocorrelation of Guggenheim Multi returns to help us make a trade decision. For example, suppose you find that Guggenheim Multi 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 Multi 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 Multi mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Guggenheim Multi 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 Multi mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Guggenheim Multi Lagged Returns
When evaluating Guggenheim Multi's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Guggenheim Multi mutual fund have on its future price. Guggenheim Multi 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 Multi autocorrelation shows the relationship between Guggenheim Multi mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Guggenheim Multi Hedge Strategies.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Guggenheim Multi Correlation, Guggenheim Multi Volatility and Guggenheim Multi Alpha and Beta module to complement your research on Guggenheim Multi. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Guggenheim Multi 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.