Ishares Commodity Curve Etf Market Value

CCRV Etf  USD 19.85  0.05  0.25%   
IShares Commodity's market value is the price at which a share of IShares Commodity trades on a public exchange. It measures the collective expectations of iShares Commodity Curve investors about its performance. IShares Commodity is selling for under 19.85 as of the 15th of March 2025; that is 0.25 percent increase since the beginning of the trading day. The etf's lowest day price was 19.8.
With this module, you can estimate the performance of a buy and hold strategy of iShares Commodity Curve and determine expected loss or profit from investing in IShares Commodity over a given investment horizon. Check out IShares Commodity Correlation, IShares Commodity Volatility and IShares Commodity Alpha and Beta module to complement your research on IShares Commodity.
Symbol

The market value of iShares Commodity Curve 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 Commodity's value that differs from its market value or its book value, called intrinsic value, which is IShares Commodity'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 Commodity's market value can be influenced by many factors that don't directly affect IShares Commodity'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 Commodity's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares Commodity is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares Commodity'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 Commodity '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 Commodity'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 Commodity.
0.00
12/15/2024
No Change 0.00  0.0 
In 2 months and 31 days
03/15/2025
0.00
If you would invest  0.00  in IShares Commodity on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding iShares Commodity Curve or generate 0.0% return on investment in IShares Commodity over 90 days. IShares Commodity is related to or competes with IShares Bloomberg, USCF SummerHaven, Abrdn Bloomberg, GraniteShares Bloomberg, and IShares GSCI. The fund seeks to achieve its investment objective primarily by investing in a total return swap on the underlying index More

IShares Commodity 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 Commodity'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 Commodity Curve upside and downside potential and time the market with a certain degree of confidence.

IShares Commodity Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Commodity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Commodity's standard deviation. In reality, there are many statistical measures that can use IShares Commodity historical prices to predict the future IShares Commodity's volatility.
Hype
Prediction
LowEstimatedHigh
19.2719.8520.43
Details
Intrinsic
Valuation
LowRealHigh
19.3619.9420.52
Details

iShares Commodity Curve Backtested Returns

iShares Commodity Curve holds Efficiency (Sharpe) Ratio of -0.0285, which attests that the entity had a -0.0285 % return per unit of risk over the last 3 months. iShares Commodity Curve exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IShares Commodity's Risk Adjusted Performance of (0.01), market risk adjusted performance of (0.17), and Standard Deviation of 0.5705 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.0857, which attests to not very significant fluctuations relative to the market. As returns on the market increase, IShares Commodity's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares Commodity is expected to be smaller as well.

Auto-correlation

    
  -0.6  

Good reverse predictability

iShares Commodity Curve has good reverse predictability. Overlapping area represents the amount of predictability between IShares Commodity time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th 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 iShares Commodity Curve price movement. The serial correlation of -0.6 indicates that roughly 60.0% of current IShares Commodity price fluctuation can be explain by its past prices.
Correlation Coefficient-0.6
Spearman Rank Test-0.66
Residual Average0.0
Price Variance0.14

iShares Commodity Curve lagged returns against current returns

Autocorrelation, which is IShares Commodity 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 Commodity's etf expected returns. We can calculate the autocorrelation of IShares Commodity returns to help us make a trade decision. For example, suppose you find that IShares Commodity 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 Commodity 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 Commodity etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares Commodity etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares Commodity etf over time.
   Current vs Lagged Prices   
       Timeline  

IShares Commodity Lagged Returns

When evaluating IShares Commodity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Commodity etf have on its future price. IShares Commodity 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 Commodity autocorrelation shows the relationship between IShares Commodity etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Commodity Curve.
   Regressed Prices   
       Timeline  

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When determining whether iShares Commodity Curve is a strong investment it is important to analyze IShares Commodity'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 IShares Commodity's future performance. For an informed investment choice regarding IShares Etf, refer to the following important reports:
Check out IShares Commodity Correlation, IShares Commodity Volatility and IShares Commodity Alpha and Beta module to complement your research on IShares Commodity.
You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
IShares Commodity 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 Commodity technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of IShares Commodity 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...