Angel Oak Income Etf Market Value
| CARY Etf | 21.01 0.03 0.14% |
| Symbol | Angel |
The market value of Angel Oak Income is measured differently than its book value, which is the value of Angel that is recorded on the company's balance sheet. Investors also form their own opinion of Angel Oak's value that differs from its market value or its book value, called intrinsic value, which is Angel Oak'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 Angel Oak's market value can be influenced by many factors that don't directly affect Angel Oak'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 Angel Oak's value and its price as these two are different measures arrived at by different means. Investors typically determine if Angel Oak is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Angel Oak'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.
Angel Oak '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 Angel Oak'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 Angel Oak.
| 05/28/2025 |
| 12/24/2025 |
If you would invest 0.00 in Angel Oak on May 28, 2025 and sell it all today you would earn a total of 0.00 from holding Angel Oak Income or generate 0.0% return on investment in Angel Oak over 210 days. Angel Oak is related to or competes with PIMCO ETF, First Trust, Avantis Real, Opus Small, First Trust, Vident Core, and Xtrackers MSCI. Angel Oak is entity of United States. It is traded as Etf on NASDAQ exchange. More
Angel Oak 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 Angel Oak'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 Angel Oak Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1125 | |||
| Information Ratio | (0.54) | |||
| Maximum Drawdown | 0.4308 | |||
| Value At Risk | (0.14) | |||
| Potential Upside | 0.1449 |
Angel Oak Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Angel Oak's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Angel Oak's standard deviation. In reality, there are many statistical measures that can use Angel Oak historical prices to predict the future Angel Oak's volatility.| Risk Adjusted Performance | 0.0929 | |||
| Jensen Alpha | 0.0078 | |||
| Total Risk Alpha | 0.0031 | |||
| Sortino Ratio | (0.43) | |||
| Treynor Ratio | 0.2374 |
Angel Oak Income Backtested Returns
At this stage we consider Angel Etf to be very steady. Angel Oak Income secures Sharpe Ratio (or Efficiency) of 0.29, which signifies that the etf had a 0.29 % return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for Angel Oak Income, which you can use to evaluate the volatility of the entity. Please confirm Angel Oak's mean deviation of 0.0673, and Risk Adjusted Performance of 0.0929 to double-check if the risk estimate we provide is consistent with the expected return of 0.0255%. The etf shows a Beta (market volatility) of 0.0438, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Angel Oak's returns are expected to increase less than the market. However, during the bear market, the loss of holding Angel Oak is expected to be smaller as well.
Auto-correlation | 0.90 |
Excellent predictability
Angel Oak Income has excellent predictability. Overlapping area represents the amount of predictability between Angel Oak time series from 28th of May 2025 to 10th of September 2025 and 10th of September 2025 to 24th 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 Angel Oak Income price movement. The serial correlation of 0.9 indicates that approximately 90.0% of current Angel Oak price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.9 | |
| Spearman Rank Test | 0.9 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Angel Oak Income lagged returns against current returns
Autocorrelation, which is Angel Oak 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 Angel Oak's etf expected returns. We can calculate the autocorrelation of Angel Oak returns to help us make a trade decision. For example, suppose you find that Angel Oak 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 |
Angel Oak 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 Angel Oak etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Angel Oak etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Angel Oak etf over time.
Current vs Lagged Prices |
| Timeline |
Angel Oak Lagged Returns
When evaluating Angel Oak's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Angel Oak etf have on its future price. Angel Oak 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, Angel Oak autocorrelation shows the relationship between Angel Oak etf current value and its past values and can show if there is a momentum factor associated with investing in Angel Oak Income.
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 Angel Oak Income offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Angel Oak's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Angel Oak Income Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Angel Oak Income Etf:Check out Angel Oak Correlation, Angel Oak Volatility and Angel Oak Alpha and Beta module to complement your research on Angel Oak. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Angel Oak 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.