Abrdn Bloomberg All Etf Market Value
| BCD Etf | USD 33.68 0.02 0.06% |
| Symbol | Abrdn |
The market value of abrdn Bloomberg All is measured differently than its book value, which is the value of Abrdn that is recorded on the company's balance sheet. Investors also form their own opinion of Abrdn Bloomberg's value that differs from its market value or its book value, called intrinsic value, which is Abrdn Bloomberg'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 Abrdn Bloomberg's market value can be influenced by many factors that don't directly affect Abrdn Bloomberg'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 Abrdn Bloomberg's value and its price as these two are different measures arrived at by different means. Investors typically determine if Abrdn Bloomberg is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Abrdn Bloomberg'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.
Abrdn Bloomberg '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 Abrdn Bloomberg'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 Abrdn Bloomberg.
| 12/24/2024 |
| 03/24/2025 |
If you would invest 0.00 in Abrdn Bloomberg on December 24, 2024 and sell it all today you would earn a total of 0.00 from holding abrdn Bloomberg All or generate 0.0% return on investment in Abrdn Bloomberg over 90 days. Abrdn Bloomberg is related to or competes with IShares Bloomberg, GraniteShares Bloomberg, IShares GSCI, and Direxion Auspice. The index is a three-month forward version of the Bloomberg Commodity Index Total ReturnSM , which reflects the return o... More
Abrdn Bloomberg 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 Abrdn Bloomberg'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 abrdn Bloomberg All upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6014 | |||
| Information Ratio | 0.236 | |||
| Maximum Drawdown | 3.56 | |||
| Value At Risk | (0.87) | |||
| Potential Upside | 1.05 |
Abrdn Bloomberg Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Abrdn Bloomberg's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Abrdn Bloomberg's standard deviation. In reality, there are many statistical measures that can use Abrdn Bloomberg historical prices to predict the future Abrdn Bloomberg's volatility.| Risk Adjusted Performance | 0.1703 | |||
| Jensen Alpha | 0.1126 | |||
| Total Risk Alpha | 0.1365 | |||
| Sortino Ratio | 0.2456 | |||
| Treynor Ratio | 2.99 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Abrdn Bloomberg'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.
abrdn Bloomberg All Backtested Returns
At this point, Abrdn Bloomberg is very steady. abrdn Bloomberg All secures Sharpe Ratio (or Efficiency) of 0.22, which signifies that the etf had a 0.22 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for abrdn Bloomberg All, which you can use to evaluate the volatility of the entity. Please confirm Abrdn Bloomberg's Risk Adjusted Performance of 0.1703, semi deviation of 0.3582, and Downside Deviation of 0.6014 to double-check if the risk estimate we provide is consistent with the expected return of 0.14%. The etf shows a Beta (market volatility) of 0.0372, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Abrdn Bloomberg's returns are expected to increase less than the market. However, during the bear market, the loss of holding Abrdn Bloomberg is expected to be smaller as well.
Auto-correlation | -0.28 |
Weak reverse predictability
abrdn Bloomberg All has weak reverse predictability. Overlapping area represents the amount of predictability between Abrdn Bloomberg time series from 24th of December 2024 to 7th of February 2025 and 7th of February 2025 to 24th of March 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 abrdn Bloomberg All price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current Abrdn Bloomberg price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.28 | |
| Spearman Rank Test | 0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.12 |
abrdn Bloomberg All lagged returns against current returns
Autocorrelation, which is Abrdn Bloomberg 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 Abrdn Bloomberg's etf expected returns. We can calculate the autocorrelation of Abrdn Bloomberg returns to help us make a trade decision. For example, suppose you find that Abrdn Bloomberg 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 |
Abrdn Bloomberg 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 Abrdn Bloomberg etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Abrdn Bloomberg etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Abrdn Bloomberg etf over time.
Current vs Lagged Prices |
| Timeline |
Abrdn Bloomberg Lagged Returns
When evaluating Abrdn Bloomberg's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Abrdn Bloomberg etf have on its future price. Abrdn Bloomberg 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, Abrdn Bloomberg autocorrelation shows the relationship between Abrdn Bloomberg etf current value and its past values and can show if there is a momentum factor associated with investing in abrdn Bloomberg All.
Regressed Prices |
| Timeline |
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Check out Abrdn Bloomberg Correlation, Abrdn Bloomberg Volatility and Abrdn Bloomberg Alpha and Beta module to complement your research on Abrdn Bloomberg. You can also try the Stocks Directory module to find actively traded stocks across global markets.
Abrdn Bloomberg 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.