Equity Index Institutional Fund Market Value
| GEQYX Fund | USD 51.75 0.63 1.20% |
| Symbol | Equity |
Equity Index '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 Equity Index'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 Equity Index.
| 03/17/2024 |
| 04/16/2024 |
If you would invest 0.00 in Equity Index on March 17, 2024 and sell it all today you would earn a total of 0.00 from holding Equity Index Institutional or generate 0.0% return on investment in Equity Index over 30 days. Equity Index is related to or competes with Guidestone Fds, Small Cap, Value Equity, Medium-duration Bond, and International Equity. The fund will invest substantially all, and normally at least 80 percent of its total assets, in the equity securities i... More
Equity Index 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 Equity Index'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 Equity Index Institutional upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7285 | |||
| Information Ratio | 0.0416 | |||
| Maximum Drawdown | 3.53 | |||
| Value At Risk | (1.20) | |||
| Potential Upside | 1.11 |
Equity Index Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Equity Index's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Equity Index's standard deviation. In reality, there are many statistical measures that can use Equity Index historical prices to predict the future Equity Index's volatility.| Risk Adjusted Performance | 0.0817 | |||
| Jensen Alpha | 0.0322 | |||
| Total Risk Alpha | 0.0219 | |||
| Sortino Ratio | 0.0413 | |||
| Treynor Ratio | 0.0862 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Equity Index'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.
Equity Index Institu Backtested Returns
We consider Equity Index very steady. Equity Index Institu secures Sharpe Ratio (or Efficiency) of 0.15, which denotes the fund had a 0.15% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Equity Index Institutional, which you can use to evaluate the volatility of the entity. Please confirm Equity Index's Coefficient Of Variation of 780.1, downside deviation of 0.7285, and Mean Deviation of 0.5567 to check if the risk estimate we provide is consistent with the expected return of 0.11%. The fund shows a Beta (market volatility) of 0.96, which means possible diversification benefits within a given portfolio. Equity Index returns are very sensitive to returns on the market. As the market goes up or down, Equity Index is expected to follow.
Auto-correlation | -0.72 |
Almost perfect reverse predictability
Equity Index Institutional has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Equity Index time series from 17th of March 2024 to 1st of April 2024 and 1st of April 2024 to 16th 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 Equity Index Institu price movement. The serial correlation of -0.72 indicates that around 72.0% of current Equity Index price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.72 | |
| Spearman Rank Test | -0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.12 |
Equity Index Institu lagged returns against current returns
Autocorrelation, which is Equity Index 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 Equity Index's mutual fund expected returns. We can calculate the autocorrelation of Equity Index returns to help us make a trade decision. For example, suppose you find that Equity Index 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 |
Equity Index 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 Equity Index mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Equity Index mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Equity Index mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Equity Index Lagged Returns
When evaluating Equity Index's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Equity Index mutual fund have on its future price. Equity Index 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, Equity Index autocorrelation shows the relationship between Equity Index mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Equity Index Institutional.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out Equity Index Correlation, Equity Index Volatility and Equity Index Alpha and Beta module to complement your research on Equity Index. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Equity Index 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.