Strategic Allocation Aggressive Fund Market Value
| AAARX Fund | USD 7.73 0.07 0.90% |
| Symbol | Strategic |
Strategic Allocation: '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 Strategic Allocation:'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 Strategic Allocation:.
| 10/18/2023 |
| 04/15/2024 |
If you would invest 0.00 in Strategic Allocation: on October 18, 2023 and sell it all today you would earn a total of 0.00 from holding Strategic Allocation Aggressive or generate 0.0% return on investment in Strategic Allocation: over 180 days. Strategic Allocation: is related to or competes with Mid Cap, Equity Growth, Income Growth, Diversified Bond, Emerging Markets, Short Term, and Value Fund. The funds asset allocation strategy diversifies investments among equity securities, bonds and money market instruments More
Strategic Allocation: 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 Strategic Allocation:'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 Strategic Allocation Aggressive upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.633 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 2.36 | |||
| Value At Risk | (0.79) | |||
| Potential Upside | 0.7937 |
Strategic Allocation: Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Strategic Allocation:'s investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Strategic Allocation:'s standard deviation. In reality, there are many statistical measures that can use Strategic Allocation: historical prices to predict the future Strategic Allocation:'s volatility.| Risk Adjusted Performance | 0.0741 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0669 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Strategic Allocation:'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.
Strategic Allocation: Backtested Returns
We consider Strategic Allocation: very steady. Strategic Allocation: owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.1, which indicates the fund had a 0.1% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Strategic Allocation Aggressive, which you can use to evaluate the volatility of the fund. Please validate Strategic Allocation:'s Coefficient Of Variation of 822.41, risk adjusted performance of 0.0741, and Semi Deviation of 0.4776 to confirm if the risk estimate we provide is consistent with the expected return of 0.058%. The entity has a beta of 0.85, which indicates possible diversification benefits within a given portfolio. Strategic Allocation: returns are very sensitive to returns on the market. As the market goes up or down, Strategic Allocation: is expected to follow.
Auto-correlation | 0.94 |
Excellent predictability
Strategic Allocation Aggressive has excellent predictability. Overlapping area represents the amount of predictability between Strategic Allocation: time series from 18th of October 2023 to 16th of January 2024 and 16th of January 2024 to 15th 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 Strategic Allocation: price movement. The serial correlation of 0.94 indicates that approximately 94.0% of current Strategic Allocation: price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.94 | |
| Spearman Rank Test | 0.93 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Strategic Allocation: lagged returns against current returns
Autocorrelation, which is Strategic Allocation: 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 Strategic Allocation:'s mutual fund expected returns. We can calculate the autocorrelation of Strategic Allocation: returns to help us make a trade decision. For example, suppose you find that Strategic Allocation: 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 |
Strategic Allocation: 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 Strategic Allocation: mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Strategic Allocation: mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Strategic Allocation: mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Strategic Allocation: Lagged Returns
When evaluating Strategic Allocation:'s market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Strategic Allocation: mutual fund have on its future price. Strategic Allocation: 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, Strategic Allocation: autocorrelation shows the relationship between Strategic Allocation: mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Strategic Allocation Aggressive.
Regressed Prices |
| Timeline |
Pair Trading with Strategic Allocation:
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 Strategic Allocation: 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 Strategic Allocation: will appreciate offsetting losses from the drop in the long position's value.Moving together with Strategic Mutual Fund
| 0.89 | AMDVX | Mid Cap Value | PairCorr |
| 0.98 | AMEIX | Equity Growth | PairCorr |
| 0.99 | AMGIX | Income Growth | PairCorr |
| 0.95 | AMKIX | Emerging Markets | PairCorr |
The ability to find closely correlated positions to Strategic Allocation: could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Strategic Allocation: 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 Strategic Allocation: - 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 Strategic Allocation Aggressive to buy it.
The correlation of Strategic Allocation: 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 Strategic Allocation: moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Strategic Allocation: 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 Strategic Allocation: 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 Strategic Allocation: Correlation, Strategic Allocation: Volatility and Strategic Allocation: Alpha and Beta module to complement your research on Strategic Allocation:. You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
Strategic Allocation: 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.