Aquila Three Peaks Fund Market Value
| ATGYX Fund | USD 48.21 0.50 1.05% |
| Symbol | Aquila |
Aquila Three '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 Aquila Three'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 Aquila Three.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Aquila Three on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Aquila Three Peaks or generate 0.0% return on investment in Aquila Three over 30 days. Aquila Three is related to or competes with Aquila Churchill, Aquila Churchill, Aquila Churchill, Aquila Churchill, Aquila Churchill, Aquila Three, and Aquila Three. The fund invests, under normal circumstances, at least 70 percent of its net assets in equity securities believed to hav... More
Aquila Three 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 Aquila Three'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 Aquila Three Peaks upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.16 | |||
| Information Ratio | 0.0039 | |||
| Maximum Drawdown | 5.16 | |||
| Value At Risk | (1.65) | |||
| Potential Upside | 1.37 |
Aquila Three Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Aquila Three's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Aquila Three's standard deviation. In reality, there are many statistical measures that can use Aquila Three historical prices to predict the future Aquila Three's volatility.| Risk Adjusted Performance | 0.0584 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0033 | |||
| Treynor Ratio | 0.0641 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Aquila Three'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.
Aquila Three Peaks Backtested Returns
We consider Aquila Three very steady. Aquila Three Peaks secures Sharpe Ratio (or Efficiency) of 0.0663, which signifies that the fund had a 0.0663% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Aquila Three Peaks, which you can use to evaluate the volatility of the entity. Please confirm Aquila Three's Downside Deviation of 1.16, mean deviation of 0.7554, and Risk Adjusted Performance of 0.0584 to double-check if the risk estimate we provide is consistent with the expected return of 0.0676%. The fund shows a Beta (market volatility) of 1.24, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Aquila Three will likely underperform.
Auto-correlation | 0.14 |
Insignificant predictability
Aquila Three Peaks has insignificant predictability. Overlapping area represents the amount of predictability between Aquila Three time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd 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 Aquila Three Peaks price movement. The serial correlation of 0.14 indicates that less than 14.0% of current Aquila Three price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.14 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 1.61 |
Aquila Three Peaks lagged returns against current returns
Autocorrelation, which is Aquila Three 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 Aquila Three's mutual fund expected returns. We can calculate the autocorrelation of Aquila Three returns to help us make a trade decision. For example, suppose you find that Aquila Three 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 |
Aquila Three 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 Aquila Three mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Aquila Three mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Aquila Three mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Aquila Three Lagged Returns
When evaluating Aquila Three's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Aquila Three mutual fund have on its future price. Aquila Three 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, Aquila Three autocorrelation shows the relationship between Aquila Three mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Aquila Three Peaks.
Regressed Prices |
| Timeline |
Pair Trading with Aquila Three
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 Aquila Three 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 Aquila Three will appreciate offsetting losses from the drop in the long position's value.Moving together with Aquila Mutual Fund
| 1.0 | ATGAX | Aquila Three Peaks | PairCorr |
| 1.0 | ATGCX | Aquila Three Peaks | PairCorr |
| 0.88 | ATPAX | Aquila Three Peaks | PairCorr |
The ability to find closely correlated positions to Aquila Three could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Aquila Three 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 Aquila Three - 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 Aquila Three Peaks to buy it.
The correlation of Aquila Three 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 Aquila Three moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Aquila Three Peaks 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 Aquila Three 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 Aquila Three Correlation, Aquila Three Volatility and Aquila Three Alpha and Beta module to complement your research on Aquila Three. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Aquila Three 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.