Alpha Blue Capital Etf Market Value
| ABCS Etf | 30.33 0.38 1.27% |
| Symbol | Alpha |
The market value of Alpha Blue Capital is measured differently than its book value, which is the value of Alpha that is recorded on the company's balance sheet. Investors also form their own opinion of Alpha Blue's value that differs from its market value or its book value, called intrinsic value, which is Alpha Blue'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 Alpha Blue's market value can be influenced by many factors that don't directly affect Alpha Blue'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 Alpha Blue's value and its price as these two are different measures arrived at by different means. Investors typically determine if Alpha Blue is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Alpha Blue'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.
Alpha Blue '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 Alpha Blue'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 Alpha Blue.
| 06/04/2023 |
| 11/25/2024 |
If you would invest 0.00 in Alpha Blue on June 4, 2023 and sell it all today you would earn a total of 0.00 from holding Alpha Blue Capital or generate 0.0% return on investment in Alpha Blue over 540 days. Alpha Blue is related to or competes with Matthews China, Matthews Emerging, Neuberger Berman, Fidelity Small, Professionally Managed, First Trust, and Fidelity Small. More
Alpha Blue 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 Alpha Blue'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 Alpha Blue Capital upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.37 | |||
| Information Ratio | 0.0303 | |||
| Maximum Drawdown | 8.34 | |||
| Value At Risk | (1.01) | |||
| Potential Upside | 1.59 |
Alpha Blue Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alpha Blue's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alpha Blue's standard deviation. In reality, there are many statistical measures that can use Alpha Blue historical prices to predict the future Alpha Blue's volatility.| Risk Adjusted Performance | 0.1045 | |||
| Jensen Alpha | 0.0094 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0287 | |||
| Treynor Ratio | 0.1283 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alpha Blue'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.
Alpha Blue Capital Backtested Returns
Currently, Alpha Blue Capital is very steady. Alpha Blue Capital secures Sharpe Ratio (or Efficiency) of 0.11, which signifies that the etf had a 0.11% return per unit of risk over the last 3 months. We have found thirty technical indicators for Alpha Blue Capital, which you can use to evaluate the volatility of the entity. Please confirm Alpha Blue's Risk Adjusted Performance of 0.1045, downside deviation of 1.37, and Mean Deviation of 0.8093 to double-check if the risk estimate we provide is consistent with the expected return of 0.15%. The etf shows a Beta (market volatility) of 1.25, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Alpha Blue will likely underperform.
Auto-correlation | -0.38 |
Poor reverse predictability
Alpha Blue Capital has poor reverse predictability. Overlapping area represents the amount of predictability between Alpha Blue time series from 4th of June 2023 to 29th of February 2024 and 29th of February 2024 to 25th 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 Alpha Blue Capital price movement. The serial correlation of -0.38 indicates that just about 38.0% of current Alpha Blue price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.38 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.23 |
Alpha Blue Capital lagged returns against current returns
Autocorrelation, which is Alpha Blue 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 Alpha Blue's etf expected returns. We can calculate the autocorrelation of Alpha Blue returns to help us make a trade decision. For example, suppose you find that Alpha Blue 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 |
Alpha Blue 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 Alpha Blue etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alpha Blue etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alpha Blue etf over time.
Current vs Lagged Prices |
| Timeline |
Alpha Blue Lagged Returns
When evaluating Alpha Blue's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alpha Blue etf have on its future price. Alpha Blue 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, Alpha Blue autocorrelation shows the relationship between Alpha Blue etf current value and its past values and can show if there is a momentum factor associated with investing in Alpha Blue Capital.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out Alpha Blue Correlation, Alpha Blue Volatility and Alpha Blue Alpha and Beta module to complement your research on Alpha Blue. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Alpha Blue 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.