Ablg Etf Market Value
| ABLG Etf | 32.14 0.02 0.06% |
| Symbol | ABLG |
The market value of ABLG is measured differently than its book value, which is the value of ABLG that is recorded on the company's balance sheet. Investors also form their own opinion of ABLG's value that differs from its market value or its book value, called intrinsic value, which is ABLG'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 ABLG's market value can be influenced by many factors that don't directly affect ABLG'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 ABLG's value and its price as these two are different measures arrived at by different means. Investors typically determine if ABLG is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ABLG'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.
ABLG '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 ABLG'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 ABLG.
| 06/28/2025 |
| 12/25/2025 |
If you would invest 0.00 in ABLG on June 28, 2025 and sell it all today you would earn a total of 0.00 from holding ABLG or generate 0.0% return on investment in ABLG over 180 days. ABLG is related to or competes with Freedom Day, Davis Select, IShares MSCI, SmartETFs Dividend, Elevation Series, Principal Value, and Vanguard Total. More
ABLG 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 ABLG'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 ABLG upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9572 | |||
| Information Ratio | 0.0057 | |||
| Maximum Drawdown | 3.73 | |||
| Value At Risk | (1.23) | |||
| Potential Upside | 1.15 |
ABLG Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ABLG's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ABLG's standard deviation. In reality, there are many statistical measures that can use ABLG historical prices to predict the future ABLG's volatility.| Risk Adjusted Performance | 0.0749 | |||
| Jensen Alpha | 0.0187 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0048 | |||
| Treynor Ratio | 0.0937 |
ABLG Backtested Returns
At this point, ABLG is very steady. ABLG secures Sharpe Ratio (or Efficiency) of 0.1, which signifies that the etf had a 0.1 % return per unit of return volatility over the last 3 months. We have found twenty-nine technical indicators for ABLG, which you can use to evaluate the volatility of the entity. Please confirm ABLG's Downside Deviation of 0.9572, mean deviation of 0.6256, and Coefficient Of Variation of 956.2 to double-check if the risk estimate we provide is consistent with the expected return of 0.0835%. The entity shows a Beta (market volatility) of 0.8, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, ABLG's returns are expected to increase less than the market. However, during the bear market, the loss of holding ABLG is expected to be smaller as well.
Auto-correlation | 0.20 |
Weak predictability
ABLG has weak predictability. Overlapping area represents the amount of predictability between ABLG time series from 28th of June 2025 to 26th of September 2025 and 26th of September 2025 to 25th of December 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of ABLG price movement. The serial correlation of 0.2 indicates that over 20.0% of current ABLG price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.2 | |
| Spearman Rank Test | -0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 0.17 |
ABLG lagged returns against current returns
Autocorrelation, which is ABLG 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 ABLG's etf expected returns. We can calculate the autocorrelation of ABLG returns to help us make a trade decision. For example, suppose you find that ABLG 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 |
ABLG 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 ABLG etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ABLG etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ABLG etf over time.
Current vs Lagged Prices |
| Timeline |
ABLG Lagged Returns
When evaluating ABLG's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ABLG etf have on its future price. ABLG 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, ABLG autocorrelation shows the relationship between ABLG etf current value and its past values and can show if there is a momentum factor associated with investing in ABLG.
Regressed Prices |
| Timeline |
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Check out ABLG Correlation, ABLG Volatility and ABLG Alpha and Beta module to complement your research on ABLG. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
ABLG 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.