Equity Series Class Fund Market Value
| EXEYX Fund | USD 14.38 0.06 0.42% |
| Symbol | Equity |
Equity Series '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 Series' 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 Series.
| 01/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Equity Series on January 20, 2024 and sell it all today you would earn a total of 0.00 from holding Equity Series Class or generate 0.0% return on investment in Equity Series over 90 days. Equity Series is related to or competes with Large Cap, Wasatch Large, Westcore Plus, Aberdeen Global, and Marsico 21st. The fund normally invests at least 80 percent of its assets in equity securities More
Equity Series 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 Series' 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 Series Class upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8036 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 4.42 | |||
| Value At Risk | (1.14) | |||
| Potential Upside | 0.9743 |
Equity Series Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Equity Series' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Equity Series' standard deviation. In reality, there are many statistical measures that can use Equity Series historical prices to predict the future Equity Series' volatility.| Risk Adjusted Performance | 0.016 | |||
| Jensen Alpha | (0.0007) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0536 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Equity Series' 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 Series Class Backtested Returns
We consider Equity Series very steady. Equity Series Class secures Sharpe Ratio (or Efficiency) of 0.0234, which denotes the fund had a 0.0234% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Equity Series Class, which you can use to evaluate the volatility of the entity. Please confirm Equity Series' Coefficient Of Variation of 4277.31, mean deviation of 0.5221, and Downside Deviation of 0.8036 to check if the risk estimate we provide is consistent with the expected return of 0.017%. The fund shows a Beta (market volatility) of 0.13, which means not very significant fluctuations relative to the market. As returns on the market increase, Equity Series' returns are expected to increase less than the market. However, during the bear market, the loss of holding Equity Series is expected to be smaller as well.
Auto-correlation | -0.11 |
Insignificant reverse predictability
Equity Series Class has insignificant reverse predictability. Overlapping area represents the amount of predictability between Equity Series time series from 20th of January 2024 to 5th of March 2024 and 5th of March 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 Equity Series Class price movement. The serial correlation of -0.11 indicates that less than 11.0% of current Equity Series price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.11 | |
| Spearman Rank Test | 0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Equity Series Class lagged returns against current returns
Autocorrelation, which is Equity Series 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 Series' mutual fund expected returns. We can calculate the autocorrelation of Equity Series returns to help us make a trade decision. For example, suppose you find that Equity Series 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 Series 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 Series mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Equity Series 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 Series mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Equity Series Lagged Returns
When evaluating Equity Series' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Equity Series mutual fund have on its future price. Equity Series 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 Series autocorrelation shows the relationship between Equity Series mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Equity Series Class.
Regressed Prices |
| Timeline |
Pair Trading with Equity Series
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 Equity Series 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 Equity Series will appreciate offsetting losses from the drop in the long position's value.Moving together with Equity Mutual Fund
| 0.85 | MNBAX | Pro Blend Extended | PairCorr |
| 0.86 | MNBIX | Pro Blend Extended | PairCorr |
| 0.84 | MNDFX | Disciplined Value Series | PairCorr |
| 0.85 | MNBRX | Pro Blend Extended | PairCorr |
The ability to find closely correlated positions to Equity Series could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Equity Series 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 Equity Series - 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 Equity Series Class to buy it.
The correlation of Equity Series 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 Equity Series moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Equity Series Class 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 Equity Series 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 Equity Series Correlation, Equity Series Volatility and Equity Series Alpha and Beta module to complement your research on Equity Series. You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
Equity Series 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.