Guggenheim Rbp Large Cap Fund Market Value
| TVIDX Fund | USD 11.32 0.06 0.53% |
| Symbol | Guggenheim |
Guggenheim Rbp '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 Rbp'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 Rbp.
| 03/19/2024 |
| 04/18/2024 |
If you would invest 0.00 in Guggenheim Rbp on March 19, 2024 and sell it all today you would earn a total of 0.00 from holding Guggenheim Rbp Large Cap or generate 0.0% return on investment in Guggenheim Rbp over 30 days. Guggenheim Rbp is related to or competes with Vanguard Total, and Vanguard 500. The fund invests at least 80 percent of its net assets, plus the amount of borrowings for investment purposes, in securi... More
Guggenheim Rbp 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 Rbp'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 Rbp Large Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6531 | |||
| Information Ratio | 0.031 | |||
| Maximum Drawdown | 3.16 | |||
| Value At Risk | (1.19) | |||
| Potential Upside | 1.13 |
Guggenheim Rbp Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Guggenheim Rbp's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Guggenheim Rbp's standard deviation. In reality, there are many statistical measures that can use Guggenheim Rbp historical prices to predict the future Guggenheim Rbp's volatility.| Risk Adjusted Performance | 0.0723 | |||
| Jensen Alpha | 0.0271 | |||
| Total Risk Alpha | 0.0179 | |||
| Sortino Ratio | 0.0319 | |||
| Treynor Ratio | 0.0769 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Guggenheim Rbp'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 Rbp Large Backtested Returns
We consider Guggenheim Rbp very steady. Guggenheim Rbp Large holds Efficiency (Sharpe) Ratio of 0.0852, which attests that the entity had a 0.0852% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Guggenheim Rbp Large, which you can use to evaluate the volatility of the entity. Please check out Guggenheim Rbp's Risk Adjusted Performance of 0.0723, market risk adjusted performance of 0.0869, and Downside Deviation of 0.6531 to validate if the risk estimate we provide is consistent with the expected return of 0.0564%. The fund retains a Market Volatility (i.e., Beta) of 0.86, which attests to possible diversification benefits within a given portfolio. Guggenheim Rbp returns are very sensitive to returns on the market. As the market goes up or down, Guggenheim Rbp is expected to follow.
Auto-correlation | 0.30 |
Below average predictability
Guggenheim Rbp Large Cap has below average predictability. Overlapping area represents the amount of predictability between Guggenheim Rbp time series from 19th of March 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th 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 Rbp Large price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current Guggenheim Rbp price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.3 | |
| Spearman Rank Test | 0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Guggenheim Rbp Large lagged returns against current returns
Autocorrelation, which is Guggenheim Rbp 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 Rbp's mutual fund expected returns. We can calculate the autocorrelation of Guggenheim Rbp returns to help us make a trade decision. For example, suppose you find that Guggenheim Rbp 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 Rbp 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 Rbp mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Guggenheim Rbp 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 Rbp mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Guggenheim Rbp Lagged Returns
When evaluating Guggenheim Rbp's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Guggenheim Rbp mutual fund have on its future price. Guggenheim Rbp 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 Rbp autocorrelation shows the relationship between Guggenheim Rbp mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Guggenheim Rbp Large Cap.
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 Rbp 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 Rbp's short interest history, or implied volatility extrapolated from Guggenheim Rbp options trading.
Currently Active Assets on Macroaxis
Check out Guggenheim Rbp Correlation, Guggenheim Rbp Volatility and Guggenheim Rbp Alpha and Beta module to complement your research on Guggenheim Rbp. Note that the Guggenheim Rbp Large information on this page should be used as a complementary analysis to other Guggenheim Rbp'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 the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Guggenheim Rbp 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.