Ab Active Etfs, Etf Market Value
| LRGC Etf | 68.80 0.06 0.09% |
| Symbol | LRGC |
The market value of AB Active ETFs, is measured differently than its book value, which is the value of LRGC that is recorded on the company's balance sheet. Investors also form their own opinion of AB Active's value that differs from its market value or its book value, called intrinsic value, which is AB Active'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 AB Active's market value can be influenced by many factors that don't directly affect AB Active'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 AB Active's value and its price as these two are different measures arrived at by different means. Investors typically determine if AB Active is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AB Active'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.
AB Active '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 AB Active'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 AB Active.
| 12/04/2022 |
| 11/23/2024 |
If you would invest 0.00 in AB Active on December 4, 2022 and sell it all today you would earn a total of 0.00 from holding AB Active ETFs, or generate 0.0% return on investment in AB Active over 720 days. AB Active is related to or competes with FT Vest, Northern Lights, Dimensional International, First Trust, EA Series, FT Cboe, and FT Cboe. More
AB Active 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 AB Active'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 AB Active ETFs, upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8663 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 3.99 | |||
| Value At Risk | (1.34) | |||
| Potential Upside | 1.24 |
AB Active Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AB Active's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AB Active's standard deviation. In reality, there are many statistical measures that can use AB Active historical prices to predict the future AB Active's volatility.| Risk Adjusted Performance | 0.0967 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.1116 |
AB Active ETFs, Backtested Returns
At this point, AB Active is very steady. AB Active ETFs, retains Efficiency (Sharpe Ratio) of 0.13, which signifies that the etf had a 0.13% return per unit of price deviation over the last 3 months. We have found thirty technical indicators for AB Active, which you can use to evaluate the volatility of the entity. Please confirm AB Active's Market Risk Adjusted Performance of 0.1216, standard deviation of 0.7904, and Coefficient Of Variation of 795.4 to double-check if the risk estimate we provide is consistent with the expected return of 0.0994%. The entity owns a Beta (Systematic Risk) of 0.8, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, AB Active's returns are expected to increase less than the market. However, during the bear market, the loss of holding AB Active is expected to be smaller as well.
Auto-correlation | 0.38 |
Below average predictability
AB Active ETFs, has below average predictability. Overlapping area represents the amount of predictability between AB Active time series from 4th of December 2022 to 29th of November 2023 and 29th of November 2023 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 AB Active ETFs, price movement. The serial correlation of 0.38 indicates that just about 38.0% of current AB Active price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | 0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 2.63 |
AB Active ETFs, lagged returns against current returns
Autocorrelation, which is AB Active 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 AB Active's etf expected returns. We can calculate the autocorrelation of AB Active returns to help us make a trade decision. For example, suppose you find that AB Active 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 |
AB Active 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 AB Active etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AB Active etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AB Active etf over time.
Current vs Lagged Prices |
| Timeline |
AB Active Lagged Returns
When evaluating AB Active's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AB Active etf have on its future price. AB Active 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, AB Active autocorrelation shows the relationship between AB Active etf current value and its past values and can show if there is a momentum factor associated with investing in AB Active ETFs,.
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 AB Active ETFs, is a strong investment it is important to analyze AB Active'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 AB Active's future performance. For an informed investment choice regarding LRGC Etf, refer to the following important reports:Check out AB Active Correlation, AB Active Volatility and AB Active Alpha and Beta module to complement your research on AB Active. You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
AB Active 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.