Guggenheim Total Return Fund Market Value
GIBRX Fund | USD 23.52 0.06 0.25% |
Symbol | Guggenheim |
Guggenheim Total '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 Total'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 Total.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Guggenheim Total on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Guggenheim Total Return or generate 0.0% return on investment in Guggenheim Total over 30 days. Guggenheim Total is related to or competes with USCF Gold, Guggenheim Directional, Guggenheim Directional, Guggenheim Directional, Guggenheim Investment, Guggenheim Investment, and Guggenheim Rbp. The fund invests at least 80 percent of its assets in debt securities More
Guggenheim Total 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 Total'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 Total Return upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.39) | |||
Maximum Drawdown | 1.82 | |||
Value At Risk | (0.64) | |||
Potential Upside | 0.5065 |
Guggenheim Total Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Guggenheim Total's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Guggenheim Total's standard deviation. In reality, there are many statistical measures that can use Guggenheim Total historical prices to predict the future Guggenheim Total's volatility.Risk Adjusted Performance | (0.01) | |||
Jensen Alpha | (0.02) | |||
Total Risk Alpha | (0.09) | |||
Treynor Ratio | (0.23) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Guggenheim Total'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 Total Return Backtested Returns
Guggenheim Total Return holds Efficiency (Sharpe) Ratio of -0.0266, which attests that the entity had a -0.0266% return per unit of risk over the last 3 months. Guggenheim Total Return exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Guggenheim Total's Risk Adjusted Performance of (0.01), standard deviation of 0.3432, and Market Risk Adjusted Performance of (0.22) to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of 0.0457, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Guggenheim Total's returns are expected to increase less than the market. However, during the bear market, the loss of holding Guggenheim Total is expected to be smaller as well.
Auto-correlation | 0.30 |
Below average predictability
Guggenheim Total Return has below average predictability. Overlapping area represents the amount of predictability between Guggenheim Total 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 Total Return price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current Guggenheim Total price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.3 | |
Spearman Rank Test | 0.54 | |
Residual Average | 0.0 | |
Price Variance | 0.01 |
Guggenheim Total Return lagged returns against current returns
Autocorrelation, which is Guggenheim Total 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 Total's mutual fund expected returns. We can calculate the autocorrelation of Guggenheim Total returns to help us make a trade decision. For example, suppose you find that Guggenheim Total 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 Total 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 Total mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Guggenheim Total 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 Total mutual fund over time.
Current vs Lagged Prices |
Timeline |
Guggenheim Total Lagged Returns
When evaluating Guggenheim Total's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Guggenheim Total mutual fund have on its future price. Guggenheim Total 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 Total autocorrelation shows the relationship between Guggenheim Total mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Guggenheim Total Return.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Guggenheim Total in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Guggenheim Total's short interest history, or implied volatility extrapolated from Guggenheim Total options trading.
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Complementary Tools for Guggenheim Mutual Fund analysis
When running Guggenheim Total's price analysis, check to measure Guggenheim Total'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 Total is operating at the current time. Most of Guggenheim Total's value examination focuses on studying past and present price action to predict the probability of Guggenheim Total'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 Total's price. Additionally, you may evaluate how the addition of Guggenheim Total to your portfolios can decrease your overall portfolio volatility.
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