Aot Growth And Etf Market Value
| AOTG Etf | USD 46.20 0.57 1.22% |
| Symbol | AOT |
The market value of AOT Growth is measured differently than its book value, which is the value of AOT that is recorded on the company's balance sheet. Investors also form their own opinion of AOT Growth's value that differs from its market value or its book value, called intrinsic value, which is AOT Growth'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 AOT Growth's market value can be influenced by many factors that don't directly affect AOT Growth'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 AOT Growth's value and its price as these two are different measures arrived at by different means. Investors typically determine if AOT Growth is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AOT Growth'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.
AOT Growth '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 AOT Growth'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 AOT Growth.
| 12/09/2022 |
| 11/28/2024 |
If you would invest 0.00 in AOT Growth on December 9, 2022 and sell it all today you would earn a total of 0.00 from holding AOT Growth and or generate 0.0% return on investment in AOT Growth over 720 days. AOT Growth is related to or competes with Global X, Invesco ESG, ClearBridge Large, and AdvisorShares Dorsey. The fund is an actively managed exchange-traded fund that invests in U.S More
AOT Growth 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 AOT Growth'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 AOT Growth and upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.69 | |||
| Information Ratio | 0.0796 | |||
| Maximum Drawdown | 8.17 | |||
| Value At Risk | (2.06) | |||
| Potential Upside | 2.24 |
AOT Growth Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AOT Growth's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AOT Growth's standard deviation. In reality, there are many statistical measures that can use AOT Growth historical prices to predict the future AOT Growth's volatility.| Risk Adjusted Performance | 0.1379 | |||
| Jensen Alpha | 0.1288 | |||
| Total Risk Alpha | 0.0135 | |||
| Sortino Ratio | 0.0647 | |||
| Treynor Ratio | 0.2741 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AOT Growth'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.
AOT Growth Backtested Returns
AOT Growth appears to be very steady, given 3 months investment horizon. AOT Growth secures Sharpe Ratio (or Efficiency) of 0.17, which signifies that the etf had a 0.17% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for AOT Growth and, which you can use to evaluate the volatility of the entity. Please makes use of AOT Growth's risk adjusted performance of 0.1379, and Mean Deviation of 0.9226 to double-check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 0.84, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, AOT Growth's returns are expected to increase less than the market. However, during the bear market, the loss of holding AOT Growth is expected to be smaller as well.
Auto-correlation | 0.66 |
Good predictability
AOT Growth and has good predictability. Overlapping area represents the amount of predictability between AOT Growth time series from 9th of December 2022 to 4th of December 2023 and 4th of December 2023 to 28th 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 AOT Growth price movement. The serial correlation of 0.66 indicates that around 66.0% of current AOT Growth price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 10.61 |
AOT Growth lagged returns against current returns
Autocorrelation, which is AOT Growth 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 AOT Growth's etf expected returns. We can calculate the autocorrelation of AOT Growth returns to help us make a trade decision. For example, suppose you find that AOT Growth 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 |
AOT Growth 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 AOT Growth etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AOT Growth etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AOT Growth etf over time.
Current vs Lagged Prices |
| Timeline |
AOT Growth Lagged Returns
When evaluating AOT Growth's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AOT Growth etf have on its future price. AOT Growth 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, AOT Growth autocorrelation shows the relationship between AOT Growth etf current value and its past values and can show if there is a momentum factor associated with investing in AOT Growth and.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether AOT Growth is a strong investment it is important to analyze AOT Growth's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact AOT Growth's future performance. For an informed investment choice regarding AOT Etf, refer to the following important reports:Check out AOT Growth Correlation, AOT Growth Volatility and AOT Growth Alpha and Beta module to complement your research on AOT Growth. You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
AOT Growth 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.