Ishares Short Term California Etf Market Value
| CALI Etf | USD 50.38 0.06 0.12% |
| Symbol | IShares |
The market value of iShares Short Term 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 Short's value that differs from its market value or its book value, called intrinsic value, which is IShares Short'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 Short's market value can be influenced by many factors that don't directly affect IShares Short'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 Short's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares Short is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares Short'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 Short '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 Short'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 Short.
| 04/21/2025 |
| 07/20/2025 |
If you would invest 0.00 in IShares Short on April 21, 2025 and sell it all today you would earn a total of 0.00 from holding iShares Short Term California or generate 0.0% return on investment in IShares Short over 90 days. IShares Short is related to or competes with SSGA Active, SPDR Nuveen, IShares Short, First Trust, Mairs Power, PIMCO ETF, and IndexIQ Active. China Auto Logistics Inc., together with its subsidiaries, sells and trades in imported automobiles in the Peoples Repub... More
IShares Short 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 Short'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 Short Term California upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3829 | |||
| Information Ratio | (0.32) | |||
| Maximum Drawdown | 2.67 | |||
| Value At Risk | (0.60) | |||
| Potential Upside | 0.562 |
IShares Short Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Short's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Short's standard deviation. In reality, there are many statistical measures that can use IShares Short historical prices to predict the future IShares Short's volatility.| Risk Adjusted Performance | 0.0308 | |||
| Jensen Alpha | 0.0082 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.32) | |||
| Treynor Ratio | 2.77 |
iShares Short Term Backtested Returns
IShares Short is very steady at the moment. iShares Short Term holds Efficiency (Sharpe) Ratio of 0.0575, which attests that the entity had a 0.0575 % return per unit of risk over the last 3 months. We have found thirty technical indicators for iShares Short Term, which you can use to evaluate the volatility of the entity. Please check out IShares Short's Risk Adjusted Performance of 0.0308, market risk adjusted performance of 2.78, and Downside Deviation of 0.3829 to validate if the risk estimate we provide is consistent with the expected return of 0.0193%. The etf retains a Market Volatility (i.e., Beta) of 0.0031, which attests to not very significant fluctuations relative to the market. As returns on the market increase, IShares Short's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares Short is expected to be smaller as well.
Auto-correlation | 0.46 |
Average predictability
iShares Short Term California has average predictability. Overlapping area represents the amount of predictability between IShares Short time series from 21st of April 2025 to 5th of June 2025 and 5th of June 2025 to 20th of July 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 Short Term price movement. The serial correlation of 0.46 indicates that about 46.0% of current IShares Short price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.46 | |
| Spearman Rank Test | 0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
iShares Short Term lagged returns against current returns
Autocorrelation, which is IShares Short 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 Short's etf expected returns. We can calculate the autocorrelation of IShares Short returns to help us make a trade decision. For example, suppose you find that IShares Short 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 Short 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 Short etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares Short etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares Short etf over time.
Current vs Lagged Prices |
| Timeline |
IShares Short Lagged Returns
When evaluating IShares Short's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Short etf have on its future price. IShares Short 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 Short autocorrelation shows the relationship between IShares Short etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Short Term California.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether iShares Short Term offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of IShares Short'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 Short Term California Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Ishares Short Term California Etf:Check out IShares Short Correlation, IShares Short Volatility and IShares Short Alpha and Beta module to complement your research on IShares Short. You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
IShares Short 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.