Evaluator Growth Rms Fund Market Value
| EVGRX Fund | USD 10.92 0.01 0.09% |
| Symbol | Evaluator |
Evaluator Growth '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 Evaluator Growth'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 Evaluator Growth.
| 05/24/2023 |
| 04/18/2024 |
If you would invest 0.00 in Evaluator Growth on May 24, 2023 and sell it all today you would earn a total of 0.00 from holding Evaluator Growth Rms or generate 0.0% return on investment in Evaluator Growth over 330 days. Evaluator Growth is related to or competes with Dreyfus Technology, Biotechnology Ultrasector, Janus Global, Fidelity Advisor, Technology Ultrasector, and Icon Information. The fund invests in the securities of other unaffiliated investment companies, including open-end funds, ETFs and closed... More
Evaluator Growth 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 Evaluator Growth'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 Evaluator Growth Rms upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7554 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 3.01 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 0.9311 |
Evaluator Growth Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Evaluator Growth's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Evaluator Growth's standard deviation. In reality, there are many statistical measures that can use Evaluator Growth historical prices to predict the future Evaluator Growth's volatility.| Risk Adjusted Performance | 0.0442 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0399 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Evaluator Growth'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.
Evaluator Growth Rms Backtested Returns
We consider Evaluator Growth very steady. Evaluator Growth Rms secures Sharpe Ratio (or Efficiency) of 0.0919, which denotes the fund had a 0.0919% return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for Evaluator Growth Rms, which you can use to evaluate the volatility of the entity. Please confirm Evaluator Growth's Downside Deviation of 0.7554, mean deviation of 0.4494, and Semi Deviation of 0.6008 to check if the risk estimate we provide is consistent with the expected return of 0.0549%. The fund shows a Beta (market volatility) of 0.82, which means possible diversification benefits within a given portfolio. As returns on the market increase, Evaluator Growth's returns are expected to increase less than the market. However, during the bear market, the loss of holding Evaluator Growth is expected to be smaller as well.
Auto-correlation | -0.2 |
Insignificant reverse predictability
Evaluator Growth Rms has insignificant reverse predictability. Overlapping area represents the amount of predictability between Evaluator Growth time series from 24th of May 2023 to 5th of November 2023 and 5th of November 2023 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 Evaluator Growth Rms price movement. The serial correlation of -0.2 indicates that over 20.0% of current Evaluator Growth price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | -0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Evaluator Growth Rms lagged returns against current returns
Autocorrelation, which is Evaluator Growth 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 Evaluator Growth's mutual fund expected returns. We can calculate the autocorrelation of Evaluator Growth returns to help us make a trade decision. For example, suppose you find that Evaluator Growth 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 |
Evaluator Growth 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 Evaluator Growth mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Evaluator Growth mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Evaluator Growth mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Evaluator Growth Lagged Returns
When evaluating Evaluator Growth's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Evaluator Growth mutual fund have on its future price. Evaluator Growth 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, Evaluator Growth autocorrelation shows the relationship between Evaluator Growth mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Evaluator Growth Rms.
Regressed Prices |
| Timeline |
Pair Trading with Evaluator Growth
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Evaluator Growth position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Evaluator Growth will appreciate offsetting losses from the drop in the long position's value.Moving together with Evaluator Mutual Fund
| 1.0 | EVAGX | Evaluator Aggressive Rms | PairCorr |
| 0.96 | EVFTX | Evaluator Tactically | PairCorr |
| 1.0 | EVFMX | Evaluator Moderate Rms | PairCorr |
| 1.0 | EVFGX | Evaluator Aggressive Rms | PairCorr |
| 0.97 | EVFCX | Evaluator Conservative | PairCorr |
The ability to find closely correlated positions to Evaluator Growth could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Evaluator Growth when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Evaluator Growth - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Evaluator Growth Rms to buy it.
The correlation of Evaluator Growth is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Evaluator Growth moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Evaluator Growth Rms moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Evaluator Growth can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Evaluator Growth Correlation, Evaluator Growth Volatility and Evaluator Growth Alpha and Beta module to complement your research on Evaluator Growth. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
Evaluator Growth 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.