Abrdn Bloomberg All Etf Market Value

BCD Etf  USD 32.18  0.29  0.89%   
Abrdn Bloomberg's market value is the price at which a share of Abrdn Bloomberg trades on a public exchange. It measures the collective expectations of abrdn Bloomberg All investors about its performance. Abrdn Bloomberg is trading at 32.18 as of the 26th of November 2024, a 0.89 percent decrease since the beginning of the trading day. The etf's lowest day price was 32.11.
With this module, you can estimate the performance of a buy and hold strategy of abrdn Bloomberg All and determine expected loss or profit from investing in Abrdn Bloomberg over a given investment horizon. Check out Abrdn Bloomberg Correlation, Abrdn Bloomberg Volatility and Abrdn Bloomberg Alpha and Beta module to complement your research on Abrdn Bloomberg.
Symbol

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.
0.00
12/07/2022
No Change 0.00  0.0 
In 1 year 11 months and 21 days
11/26/2024
0.00
If you would invest  0.00  in Abrdn Bloomberg on December 7, 2022 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 720 days. Abrdn Bloomberg is related to or competes with Abrdn Bloomberg, 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.

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.
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.
Hype
Prediction
LowEstimatedHigh
31.4232.1832.94
Details
Intrinsic
Valuation
LowRealHigh
31.3732.1332.89
Details
Naive
Forecast
LowNextHigh
31.2932.0532.81
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
31.4032.0232.64
Details

abrdn Bloomberg All Backtested Returns

At this point, Abrdn Bloomberg is very steady. abrdn Bloomberg All secures Sharpe Ratio (or Efficiency) of 0.0591, which signifies that the etf had a 0.0591% 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 Semi Deviation of 0.7112, downside deviation of 0.8234, and Risk Adjusted Performance of 0.0763 to double-check if the risk estimate we provide is consistent with the expected return of 0.0448%. The etf shows a Beta (market volatility) of 0.0315, 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

    
  -0.66  

Very good reverse predictability

abrdn Bloomberg All has very good reverse predictability. Overlapping area represents the amount of predictability between Abrdn Bloomberg time series from 7th of December 2022 to 2nd of December 2023 and 2nd of December 2023 to 26th 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 abrdn Bloomberg All price movement. The serial correlation of -0.66 indicates that around 66.0% of current Abrdn Bloomberg price fluctuation can be explain by its past prices.
Correlation Coefficient-0.66
Spearman Rank Test-0.04
Residual Average0.0
Price Variance1.07

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  

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 abrdn Bloomberg All offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Abrdn Bloomberg'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 Abrdn Bloomberg All Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Abrdn Bloomberg All Etf:
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 Equity Search module to search for actively traded equities including funds and ETFs from over 30 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.
A focus of Abrdn Bloomberg technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Abrdn Bloomberg trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...