Amana Developing World Fund Market Value
| AMIDX Fund | USD 12.57 0.11 0.87% |
| Symbol | Amana |
Amana Developing '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 Amana Developing'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 Amana Developing.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Amana Developing on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Amana Developing World or generate 0.0% return on investment in Amana Developing over 30 days. Amana Developing is related to or competes with Amana Growth, Amana Income, Amana Participation, and Amana Participation. The fund invests at least 80 percent of total net assets in common stocks of companies with significant exposure to coun... More
Amana Developing 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 Amana Developing'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 Amana Developing World upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7661 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 3.26 | |||
| Value At Risk | (1.18) | |||
| Potential Upside | 1.33 |
Amana Developing Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Amana Developing's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Amana Developing's standard deviation. In reality, there are many statistical measures that can use Amana Developing historical prices to predict the future Amana Developing's volatility.| Risk Adjusted Performance | 0.0266 | |||
| Jensen Alpha | 0.0109 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.1342 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Amana Developing'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.
Amana Developing World Backtested Returns
We consider Amana Developing very steady. Amana Developing World secures Sharpe Ratio (or Efficiency) of 0.0657, which signifies that the fund had a 0.0657% return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for Amana Developing World, which you can use to evaluate the volatility of the entity. Please confirm Amana Developing's risk adjusted performance of 0.0266, and Mean Deviation of 0.5616 to double-check if the risk estimate we provide is consistent with the expected return of 0.0453%. The fund shows a Beta (market volatility) of 0.14, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Amana Developing's returns are expected to increase less than the market. However, during the bear market, the loss of holding Amana Developing is expected to be smaller as well.
Auto-correlation | 0.41 |
Average predictability
Amana Developing World has average predictability. Overlapping area represents the amount of predictability between Amana Developing 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 Amana Developing World price movement. The serial correlation of 0.41 indicates that just about 41.0% of current Amana Developing price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.41 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Amana Developing World lagged returns against current returns
Autocorrelation, which is Amana Developing 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 Amana Developing's mutual fund expected returns. We can calculate the autocorrelation of Amana Developing returns to help us make a trade decision. For example, suppose you find that Amana Developing 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 |
Amana Developing 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 Amana Developing mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Amana Developing mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Amana Developing mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Amana Developing Lagged Returns
When evaluating Amana Developing's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Amana Developing mutual fund have on its future price. Amana Developing 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, Amana Developing autocorrelation shows the relationship between Amana Developing mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Amana Developing World.
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 Amana Developing 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, Amana Developing's short interest history, or implied volatility extrapolated from Amana Developing options trading.
Pair Trading with Amana Developing
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 Amana Developing 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 Amana Developing will appreciate offsetting losses from the drop in the long position's value.Moving together with Amana Mutual Fund
| 1.0 | AMDWX | Amana Developing World | PairCorr |
| 0.88 | AMIGX | Amana Growth | PairCorr |
| 0.94 | AMINX | Amana Me Fund | PairCorr |
| 0.83 | AMIPX | Amana Participation | PairCorr |
The ability to find closely correlated positions to Amana Developing could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Amana Developing 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 Amana Developing - 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 Amana Developing World to buy it.
The correlation of Amana Developing 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 Amana Developing moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Amana Developing World 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 Amana Developing 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 Amana Developing Correlation, Amana Developing Volatility and Amana Developing Alpha and Beta module to complement your research on Amana Developing. Note that the Amana Developing World information on this page should be used as a complementary analysis to other Amana Developing's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Amana Developing 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.