Aggressive Balanced Allocation Fund Market Value
| SABIX Fund | USD 11.03 0.03 0.27% |
| Symbol | Aggressive |
Aggressive Balanced '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 Aggressive Balanced'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 Aggressive Balanced.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Aggressive Balanced on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Aggressive Balanced Allocation or generate 0.0% return on investment in Aggressive Balanced over 30 days. Aggressive Balanced is related to or competes with Moderately Aggressive, Salient Mlp, Moderately Aggressive, Small Capitalization, Small Capitalization, Small Capitalization, and Moderately Servative. The Portfolios main investment strategy is to invest in other Saratoga Advantage Trust mutual funds andor unaffiliated r... More
Aggressive Balanced 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 Aggressive Balanced'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 Aggressive Balanced Allocation upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6574 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 2.5 | |||
| Value At Risk | (1.01) | |||
| Potential Upside | 0.8318 |
Aggressive Balanced Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Aggressive Balanced's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Aggressive Balanced's standard deviation. In reality, there are many statistical measures that can use Aggressive Balanced historical prices to predict the future Aggressive Balanced's volatility.| Risk Adjusted Performance | 0.0558 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0505 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Aggressive Balanced'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.
Aggressive Balanced Backtested Returns
We consider Aggressive Balanced very steady. Aggressive Balanced secures Sharpe Ratio (or Efficiency) of 0.0555, which signifies that the fund had a 0.0555% return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for Aggressive Balanced Allocation, which you can use to evaluate the volatility of the entity. Please confirm Aggressive Balanced's risk adjusted performance of 0.0558, and Mean Deviation of 0.4704 to double-check if the risk estimate we provide is consistent with the expected return of 0.0322%. The fund shows a Beta (market volatility) of 0.86, which signifies possible diversification benefits within a given portfolio. Aggressive Balanced returns are very sensitive to returns on the market. As the market goes up or down, Aggressive Balanced is expected to follow.
Auto-correlation | 0.47 |
Average predictability
Aggressive Balanced Allocation has average predictability. Overlapping area represents the amount of predictability between Aggressive Balanced 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 Aggressive Balanced price movement. The serial correlation of 0.47 indicates that about 47.0% of current Aggressive Balanced price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.47 | |
| Spearman Rank Test | 0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Aggressive Balanced lagged returns against current returns
Autocorrelation, which is Aggressive Balanced 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 Aggressive Balanced's mutual fund expected returns. We can calculate the autocorrelation of Aggressive Balanced returns to help us make a trade decision. For example, suppose you find that Aggressive Balanced 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 |
Aggressive Balanced 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 Aggressive Balanced mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Aggressive Balanced mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Aggressive Balanced mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Aggressive Balanced Lagged Returns
When evaluating Aggressive Balanced's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Aggressive Balanced mutual fund have on its future price. Aggressive Balanced 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, Aggressive Balanced autocorrelation shows the relationship between Aggressive Balanced mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Aggressive Balanced Allocation.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Aggressive Balanced in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Aggressive Balanced's short interest history, or implied volatility extrapolated from Aggressive Balanced options trading.
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Check out Aggressive Balanced Correlation, Aggressive Balanced Volatility and Aggressive Balanced Alpha and Beta module to complement your research on Aggressive Balanced. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Aggressive Balanced 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.