Ishares Bloomberg Roll Etf Market Value

CMDY Etf  USD 49.19  0.39  0.79%   
IShares Bloomberg's market value is the price at which a share of IShares Bloomberg trades on a public exchange. It measures the collective expectations of iShares Bloomberg Roll investors about its performance. IShares Bloomberg is trading at 49.19 as of the 26th of November 2024; that is 0.79 percent decrease since the beginning of the trading day. The etf's open price was 49.58.
With this module, you can estimate the performance of a buy and hold strategy of iShares Bloomberg Roll and determine expected loss or profit from investing in IShares Bloomberg over a given investment horizon. Check out IShares Bloomberg Correlation, IShares Bloomberg Volatility and IShares Bloomberg Alpha and Beta module to complement your research on IShares Bloomberg.
Symbol

The market value of iShares Bloomberg Roll is measured differently than its book value, which is the value of IShares that is recorded on the company's balance sheet. Investors also form their own opinion of IShares Bloomberg's value that differs from its market value or its book value, called intrinsic value, which is IShares 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 IShares Bloomberg's market value can be influenced by many factors that don't directly affect IShares 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 IShares Bloomberg's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares Bloomberg is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares 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.

IShares 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 IShares 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 IShares Bloomberg.
0.00
05/30/2024
No Change 0.00  0.0 
In 5 months and 30 days
11/26/2024
0.00
If you would invest  0.00  in IShares Bloomberg on May 30, 2024 and sell it all today you would earn a total of 0.00 from holding iShares Bloomberg Roll or generate 0.0% return on investment in IShares Bloomberg over 180 days. IShares Bloomberg is related to or competes with Abrdn Bloomberg, GraniteShares Bloomberg, IShares GSCI, Abrdn Bloomberg, and IShares Commodity. The index measures the performance of 23 futures contracts across 21 physical agricultural, energy, precious metals and ... More

IShares 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 IShares 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 iShares Bloomberg Roll upside and downside potential and time the market with a certain degree of confidence.

IShares Bloomberg Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Bloomberg's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Bloomberg's standard deviation. In reality, there are many statistical measures that can use IShares Bloomberg historical prices to predict the future IShares 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 IShares 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
48.4149.1949.97
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Intrinsic
Valuation
LowRealHigh
47.3548.1354.11
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iShares Bloomberg Roll Backtested Returns

At this stage we consider IShares Etf to be very steady. iShares Bloomberg Roll holds Efficiency (Sharpe) Ratio of 0.0528, which attests that the entity had a 0.0528% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares Bloomberg Roll, which you can use to evaluate the volatility of the entity. Please check out IShares Bloomberg's Downside Deviation of 0.8721, risk adjusted performance of 0.0375, and Market Risk Adjusted Performance of (0.60) to validate if the risk estimate we provide is consistent with the expected return of 0.0413%. The etf retains a Market Volatility (i.e., Beta) of -0.0461, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning IShares Bloomberg are expected to decrease at a much lower rate. During the bear market, IShares Bloomberg is likely to outperform the market.

Auto-correlation

    
  -0.25  

Weak reverse predictability

iShares Bloomberg Roll has weak reverse predictability. Overlapping area represents the amount of predictability between IShares Bloomberg time series from 30th of May 2024 to 28th of August 2024 and 28th of August 2024 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 iShares Bloomberg Roll price movement. The serial correlation of -0.25 indicates that over 25.0% of current IShares Bloomberg price fluctuation can be explain by its past prices.
Correlation Coefficient-0.25
Spearman Rank Test-0.24
Residual Average0.0
Price Variance1.03

iShares Bloomberg Roll lagged returns against current returns

Autocorrelation, which is IShares 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 IShares Bloomberg's etf expected returns. We can calculate the autocorrelation of IShares Bloomberg returns to help us make a trade decision. For example, suppose you find that IShares 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  

IShares 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 IShares Bloomberg etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares Bloomberg etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares Bloomberg etf over time.
   Current vs Lagged Prices   
       Timeline  

IShares Bloomberg Lagged Returns

When evaluating IShares Bloomberg's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Bloomberg etf have on its future price. IShares 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, IShares Bloomberg autocorrelation shows the relationship between IShares Bloomberg etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Bloomberg Roll.
   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 iShares Bloomberg Roll offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of IShares 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 Ishares Bloomberg Roll Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Ishares Bloomberg Roll Etf:
Check out IShares Bloomberg Correlation, IShares Bloomberg Volatility and IShares Bloomberg Alpha and Beta module to complement your research on IShares Bloomberg.
You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
IShares 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 IShares Bloomberg technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of IShares 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...