Aim Etf Products Etf Market Value
| JULW Etf | USD 35.12 0.06 0.17% |
| Symbol | AIM |
The market value of AIM ETF Products is measured differently than its book value, which is the value of AIM that is recorded on the company's balance sheet. Investors also form their own opinion of AIM ETF's value that differs from its market value or its book value, called intrinsic value, which is AIM ETF's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because AIM ETF's market value can be influenced by many factors that don't directly affect AIM ETF's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between AIM ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if AIM ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AIM ETF's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
AIM ETF '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 AIM ETF's etf 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 AIM ETF.
| 10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in AIM ETF on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding AIM ETF Products or generate 0.0% return on investment in AIM ETF over 30 days. AIM ETF is related to or competes with AIM ETF, AIM ETF, AIM ETF, AllianzIM Large, and AIM ETF. Large Cap Buffer20 Jul ETF is an exchange traded fund launched and managed by Allianz Investment Management LLC More
AIM ETF 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 AIM ETF's etf 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 AIM ETF Products upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.406 | |||
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 1.57 | |||
| Value At Risk | (0.50) | |||
| Potential Upside | 0.5675 |
AIM ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AIM ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AIM ETF's standard deviation. In reality, there are many statistical measures that can use AIM ETF historical prices to predict the future AIM ETF's volatility.| Risk Adjusted Performance | 0.0943 | |||
| Jensen Alpha | 0.0026 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.15) | |||
| Treynor Ratio | 0.1067 |
AIM ETF Products Backtested Returns
At this stage we consider AIM Etf to be very steady. AIM ETF Products secures Sharpe Ratio (or Efficiency) of 0.15, which signifies that the etf had a 0.15% return per unit of return volatility over the last 3 months. We have found twenty-nine technical indicators for AIM ETF Products, which you can use to evaluate the volatility of the entity. Please confirm AIM ETF's Semi Deviation of 0.2663, mean deviation of 0.2552, and Risk Adjusted Performance of 0.0943 to double-check if the risk estimate we provide is consistent with the expected return of 0.0498%. The etf shows a Beta (market volatility) of 0.36, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, AIM ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding AIM ETF is expected to be smaller as well.
Auto-correlation | 0.73 |
Good predictability
AIM ETF Products has good predictability. Overlapping area represents the amount of predictability between AIM ETF time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd of November 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 AIM ETF Products price movement. The serial correlation of 0.73 indicates that around 73.0% of current AIM ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.73 | |
| Spearman Rank Test | 0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
AIM ETF Products lagged returns against current returns
Autocorrelation, which is AIM ETF etf'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 AIM ETF's etf expected returns. We can calculate the autocorrelation of AIM ETF returns to help us make a trade decision. For example, suppose you find that AIM ETF has exhibited high autocorrelation historically, and you observe that the etf 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 |
AIM ETF 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 AIM ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AIM ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AIM ETF etf over time.
Current vs Lagged Prices |
| Timeline |
AIM ETF Lagged Returns
When evaluating AIM ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AIM ETF etf have on its future price. AIM ETF 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, AIM ETF autocorrelation shows the relationship between AIM ETF etf current value and its past values and can show if there is a momentum factor associated with investing in AIM ETF Products.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether AIM ETF Products offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of AIM ETF's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Aim Etf Products Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Aim Etf Products Etf:Check out AIM ETF Correlation, AIM ETF Volatility and AIM ETF Alpha and Beta module to complement your research on AIM ETF. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
AIM ETF technical etf 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, etf market cycles, or different charting patterns.