Angel Oak Ultrashort Etf Market Value
| UYLD Etf | USD 51.18 0.01 0.02% |
| Symbol | Angel |
The market value of Angel Oak Ultrashort 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.
| 10/22/2024 |
| 11/21/2024 |
If you would invest 0.00 in Angel Oak on October 22, 2024 and sell it all today you would earn a total of 0.00 from holding Angel Oak Ultrashort or generate 0.0% return on investment in Angel Oak over 30 days. Angel Oak is related to or competes with T Rowe, T Rowe, Ab Tax, BondBloxx ETF, and AB Ultra. In pursuing its investment objective, the fund will, under normal circumstances, invest in securities which cause the fu... 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 Ultrashort upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.0421 | |||
| Information Ratio | (1.75) | |||
| Maximum Drawdown | 0.2162 | |||
| Value At Risk | (0.04) | |||
| Potential Upside | 0.0792 |
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 | 0.1967 | |||
| Jensen Alpha | 0.0105 | |||
| Total Risk Alpha | 0.0057 | |||
| Sortino Ratio | (1.78) | |||
| Treynor Ratio | 8.82 |
Angel Oak Ultrashort Backtested Returns
At this point, Angel Oak is very steady. Angel Oak Ultrashort secures Sharpe Ratio (or Efficiency) of 0.45, which signifies that the etf had a 0.45% return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for Angel Oak Ultrashort, which you can use to evaluate the volatility of the entity. Please confirm Angel Oak's risk adjusted performance of 0.1967, and Mean Deviation of 0.0321 to double-check if the risk estimate we provide is consistent with the expected return of 0.0191%. The etf shows a Beta (market volatility) of 0.0012, 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 | 0.74 |
Good predictability
Angel Oak Ultrashort has good predictability. Overlapping area represents the amount of predictability between Angel Oak time series from 22nd of October 2024 to 6th of November 2024 and 6th of November 2024 to 21st 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 Angel Oak Ultrashort price movement. The serial correlation of 0.74 indicates that around 74.0% of current Angel Oak price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.86 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Angel Oak Ultrashort 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 Ultrashort.
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 Ultrashort is a strong investment it is important to analyze Angel Oak'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 Angel Oak's future performance. For an informed investment choice regarding Angel Etf, refer to the following important reports: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 Share Portfolio module to track or share privately all of your investments from the convenience of any device.
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.