Us E Equity Fund Market Value
| RSQAX Fund | USD 24.60 0.05 0.20% |
| Symbol | RSQAX |
Us E '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 Us E'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 Us E.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Us E on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Us E Equity or generate 0.0% return on investment in Us E over 30 days. Us E is related to or competes with International Developed, Global Real, Global Real, Global Real, Global Real, Growth Strategy, and Growth Strategy. The fund has a non-fundamental policy to invest, under normal circumstances, at least 80 percent of the value of its net... More
Us E 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 Us E'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 Us E Equity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7357 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 3.04 | |||
| Value At Risk | (1.16) | |||
| Potential Upside | 0.885 |
Us E Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Us E's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Us E's standard deviation. In reality, there are many statistical measures that can use Us E historical prices to predict the future Us E's volatility.| Risk Adjusted Performance | 0.0642 | |||
| Jensen Alpha | (0.0008) | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0578 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Us E'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.
Us E Equity Backtested Returns
We consider Us E very steady. Us E Equity retains Efficiency (Sharpe Ratio) of 0.0926, which indicates the fund had a 0.0926% return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for Us E, which you can use to evaluate the volatility of the fund. Please validate Us E's Downside Deviation of 0.7357, mean deviation of 0.4521, and Risk Adjusted Performance of 0.0642 to confirm if the risk estimate we provide is consistent with the expected return of 0.0556%. The entity owns a Beta (Systematic Risk) of 0.91, which indicates possible diversification benefits within a given portfolio. Us E returns are very sensitive to returns on the market. As the market goes up or down, Us E is expected to follow.
Auto-correlation | -0.46 |
Modest reverse predictability
Us E Equity has modest reverse predictability. Overlapping area represents the amount of predictability between Us E 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 Us E Equity price movement. The serial correlation of -0.46 indicates that about 46.0% of current Us E price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 0.16 |
Us E Equity lagged returns against current returns
Autocorrelation, which is Us E 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 Us E's mutual fund expected returns. We can calculate the autocorrelation of Us E returns to help us make a trade decision. For example, suppose you find that Us E 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 |
Us E 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 Us E mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Us E mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Us E mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Us E Lagged Returns
When evaluating Us E's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Us E mutual fund have on its future price. Us E 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, Us E autocorrelation shows the relationship between Us E mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Us E Equity.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Us E Correlation, Us E Volatility and Us E Alpha and Beta module to complement your research on Us E. Note that the Us E Equity information on this page should be used as a complementary analysis to other Us E'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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Us E 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.