Aama Income Fund Market Value
AMFIX Fund | USD 23.61 0.01 0.04% |
Symbol | Aama |
Aama Income '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 Aama Income'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 Aama Income.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Aama Income on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Aama Income Fund or generate 0.0% return on investment in Aama Income over 30 days. Aama Income is related to or competes with Aama Equity, Vanguard Lifestrategy, Liberty All, Deutsche Munications, Aqr Global, Vanguard Growth, and Schwab Sp. The fund will principally invest in income-producing securities which include U.S More
Aama Income 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 Aama Income'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 Aama Income Fund upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.1399 | |||
Information Ratio | (1.12) | |||
Maximum Drawdown | 0.5093 | |||
Value At Risk | (0.17) | |||
Potential Upside | 0.1698 |
Aama Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Aama Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Aama Income's standard deviation. In reality, there are many statistical measures that can use Aama Income historical prices to predict the future Aama Income's volatility.Risk Adjusted Performance | (0.01) | |||
Jensen Alpha | (0.01) | |||
Total Risk Alpha | (0.03) | |||
Sortino Ratio | (0.92) | |||
Treynor Ratio | (0.07) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Aama Income'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.
Aama Me Fund Backtested Returns
We consider Aama Income very steady. Aama Me Fund secures Sharpe Ratio (or Efficiency) of 0.0125, which signifies that the fund had a 0.0125% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Aama Income Fund, which you can use to evaluate the volatility of the entity. Please confirm Aama Income's Risk Adjusted Performance of (0.01), mean deviation of 0.0893, and Downside Deviation of 0.1399 to double-check if the risk estimate we provide is consistent with the expected return of 0.0014%. The fund shows a Beta (market volatility) of 0.0659, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Aama Income's returns are expected to increase less than the market. However, during the bear market, the loss of holding Aama Income is expected to be smaller as well.
Auto-correlation | 0.59 |
Modest predictability
Aama Income Fund has modest predictability. Overlapping area represents the amount of predictability between Aama Income time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 Aama Me Fund price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current Aama Income price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.59 | |
Spearman Rank Test | 0.19 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Aama Me Fund lagged returns against current returns
Autocorrelation, which is Aama Income 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 Aama Income's mutual fund expected returns. We can calculate the autocorrelation of Aama Income returns to help us make a trade decision. For example, suppose you find that Aama Income 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 |
Aama Income 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 Aama Income mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Aama Income mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Aama Income mutual fund over time.
Current vs Lagged Prices |
Timeline |
Aama Income Lagged Returns
When evaluating Aama Income's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Aama Income mutual fund have on its future price. Aama Income 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, Aama Income autocorrelation shows the relationship between Aama Income mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Aama Income Fund.
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 Aama Income 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, Aama Income's short interest history, or implied volatility extrapolated from Aama Income options trading.
Pair Trading with Aama Income
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 Aama Income 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 Aama Income will appreciate offsetting losses from the drop in the long position's value.Moving together with Aama Mutual Fund
0.61 | MWTSX | Metropolitan West Total | PairCorr |
0.78 | PTTPX | Pimco Total Return | PairCorr |
The ability to find closely correlated positions to Aama Income could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Aama Income 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 Aama Income - 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 Aama Income Fund to buy it.
The correlation of Aama Income 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 Aama Income moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Aama Me Fund 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 Aama Income 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 Aama Income Correlation, Aama Income Volatility and Aama Income Alpha and Beta module to complement your research on Aama Income. You can also try the CEOs Directory module to screen CEOs from public companies around the world.
Complementary Tools for Aama Mutual Fund analysis
When running Aama Income's price analysis, check to measure Aama Income's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Aama Income is operating at the current time. Most of Aama Income's value examination focuses on studying past and present price action to predict the probability of Aama Income's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Aama Income's price. Additionally, you may evaluate how the addition of Aama Income to your portfolios can decrease your overall portfolio volatility.
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Aama Income 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.