Ab All Market Fund Market Value
| AMTYX Fund | USD 9.11 0.03 0.33% |
| Symbol | AMTYX |
Ab All '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 Ab All'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 Ab All.
| 02/28/2024 |
| 05/28/2024 |
If you would invest 0.00 in Ab All on February 28, 2024 and sell it all today you would earn a total of 0.00 from holding Ab All Market or generate 0.0% return on investment in Ab All over 90 days. Ab All is related to or competes with Commonwealth Real, HUMANA, Barloworld, Morningstar Unconstrained, High-yield Municipal, Via Renewables, and T Rowe. The managers expect to invest the funds assets principally in the following instruments that, in the judgment of the Adv... More
Ab All 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 Ab All'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 Ab All Market upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7235 | |||
| Information Ratio | 0.0591 | |||
| Maximum Drawdown | 2.82 | |||
| Value At Risk | (0.86) | |||
| Potential Upside | 1.0 |
Ab All Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ab All's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ab All's standard deviation. In reality, there are many statistical measures that can use Ab All historical prices to predict the future Ab All's volatility.| Risk Adjusted Performance | 0.0811 | |||
| Jensen Alpha | 0.0393 | |||
| Total Risk Alpha | 0.0343 | |||
| Sortino Ratio | 0.0495 | |||
| Treynor Ratio | 0.0812 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ab All'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.
Ab All Market Backtested Returns
We consider Ab All out of control. Ab All Market retains Efficiency (Sharpe Ratio) of 0.15, which signifies that the fund had a 0.15% return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for Ab All, which you can use to evaluate the volatility of the entity. Please confirm Ab All's Market Risk Adjusted Performance of 0.0912, standard deviation of 0.606, and Coefficient Of Variation of 722.64 to double-check if the risk estimate we provide is consistent with the expected return of 0.0952%. The fund owns a Beta (Systematic Risk) of 0.91, which signifies possible diversification benefits within a given portfolio. Ab All returns are very sensitive to returns on the market. As the market goes up or down, Ab All is expected to follow.
Auto-correlation | 0.86 |
Very good predictability
Ab All Market has very good predictability. Overlapping area represents the amount of predictability between Ab All time series from 28th of February 2024 to 13th of April 2024 and 13th of April 2024 to 28th of May 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 Ab All Market price movement. The serial correlation of 0.86 indicates that approximately 86.0% of current Ab All price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.86 | |
| Spearman Rank Test | 0.85 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Ab All Market lagged returns against current returns
Autocorrelation, which is Ab All 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 Ab All's mutual fund expected returns. We can calculate the autocorrelation of Ab All returns to help us make a trade decision. For example, suppose you find that Ab All 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 |
Ab All 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 Ab All mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ab All mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ab All mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Ab All Lagged Returns
When evaluating Ab All's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ab All mutual fund have on its future price. Ab All 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, Ab All autocorrelation shows the relationship between Ab All mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Ab All Market.
Regressed Prices |
| Timeline |
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Ab All 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.