Abhy Etf Market Value
| ABHY Etf | 19.06 0.01 0.05% |
| Symbol | ABHY |
The market value of ABHY is measured differently than its book value, which is the value of ABHY that is recorded on the company's balance sheet. Investors also form their own opinion of ABHY's value that differs from its market value or its book value, called intrinsic value, which is ABHY'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 ABHY's market value can be influenced by many factors that don't directly affect ABHY'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 ABHY's value and its price as these two are different measures arrived at by different means. Investors typically determine if ABHY is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ABHY'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.
ABHY '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 ABHY'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 ABHY.
| 12/05/2024 |
| 01/04/2025 |
If you would invest 0.00 in ABHY on December 5, 2024 and sell it all today you would earn a total of 0.00 from holding ABHY or generate 0.0% return on investment in ABHY over 30 days. ABHY is related to or competes with FT Vest, Zillow Group, Northern Lights, VanEck Vectors, Freedom Day, SSGA Active, and SPDR Nuveen. ABHY is entity of United States. It is traded as Etf on BATS exchange. More
ABHY 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 ABHY'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 ABHY upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.21) | |||
| Maximum Drawdown | 1.41 | |||
| Value At Risk | (0.41) | |||
| Potential Upside | 0.3686 |
ABHY Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ABHY's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ABHY's standard deviation. In reality, there are many statistical measures that can use ABHY historical prices to predict the future ABHY's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.04) | |||
| Treynor Ratio | (13.39) |
ABHY Backtested Returns
ABHY secures Sharpe Ratio (or Efficiency) of -0.0784, which signifies that the etf had a -0.0784% return per unit of risk over the last 3 months. ABHY exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm ABHY's mean deviation of 0.1751, and Variance of 0.058 to double-check the risk estimate we provide. The entity shows a Beta (market volatility) of 0.0029, which signifies not very significant fluctuations relative to the market. As returns on the market increase, ABHY's returns are expected to increase less than the market. However, during the bear market, the loss of holding ABHY is expected to be smaller as well.
Auto-correlation | -0.81 |
Excellent reverse predictability
ABHY has excellent reverse predictability. Overlapping area represents the amount of predictability between ABHY time series from 5th of December 2024 to 20th of December 2024 and 20th of December 2024 to 4th of January 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 ABHY price movement. The serial correlation of -0.81 indicates that around 81.0% of current ABHY price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.81 | |
| Spearman Rank Test | -0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
ABHY lagged returns against current returns
Autocorrelation, which is ABHY 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 ABHY's etf expected returns. We can calculate the autocorrelation of ABHY returns to help us make a trade decision. For example, suppose you find that ABHY 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 |
ABHY 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 ABHY etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ABHY etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ABHY etf over time.
Current vs Lagged Prices |
| Timeline |
ABHY Lagged Returns
When evaluating ABHY's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ABHY etf have on its future price. ABHY 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, ABHY autocorrelation shows the relationship between ABHY etf current value and its past values and can show if there is a momentum factor associated with investing in ABHY.
Regressed Prices |
| Timeline |
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Check out ABHY Correlation, ABHY Volatility and ABHY Alpha and Beta module to complement your research on ABHY. You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
ABHY 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.