Ishares Commodity Curve Etf Market Value
| CCRV Etf | USD 19.85 0.05 0.25% |
| Symbol | IShares |
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.
| 12/15/2024 |
| 03/15/2025 |
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.
| Information Ratio | 0.2226 | |||
| Maximum Drawdown | 3.03 | |||
| Value At Risk | (0.95) | |||
| Potential Upside | 0.9054 |
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.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | 0.0809 | |||
| Treynor Ratio | (0.18) |
iShares Commodity Curve Backtested Returns
iShares Commodity Curve holds Efficiency (Sharpe) Ratio of -0.0286, which attests that the entity had a -0.0286 % 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), standard deviation of 0.5705, and Market Risk Adjusted Performance of (0.17) 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 Average | 0.0 | |
| Price Variance | 0.14 |
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 |
Thematic Opportunities
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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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
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.