Ishares Equity Factor Etf Market Value
| LRGF Etf | USD 62.22 0.32 0.51% |
| Symbol | IShares |
The market value of iShares Equity Factor 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 Equity's value that differs from its market value or its book value, called intrinsic value, which is IShares Equity'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 Equity's market value can be influenced by many factors that don't directly affect IShares Equity'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 Equity's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares Equity is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares Equity'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 Equity '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 Equity'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 Equity.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in IShares Equity on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding iShares Equity Factor or generate 0.0% return on investment in IShares Equity over 30 days. IShares Equity is related to or competes with JPMorgan BetaBuilders, JPMorgan Core, JPMorgan BetaBuilders, and JPMorgan Emerging. The fund generally will invest at least 80 percent of its assets in the component securities of its underlying index and... More
IShares Equity 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 Equity'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 Equity Factor upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8358 | |||
| Information Ratio | 0.0012 | |||
| Maximum Drawdown | 4.04 | |||
| Value At Risk | (1.42) | |||
| Potential Upside | 1.15 |
IShares Equity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Equity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Equity's standard deviation. In reality, there are many statistical measures that can use IShares Equity historical prices to predict the future IShares Equity's volatility.| Risk Adjusted Performance | 0.1244 | |||
| Jensen Alpha | 0.0161 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | 0.0011 | |||
| Treynor Ratio | 0.1339 |
iShares Equity Factor Backtested Returns
At this point, IShares Equity is very steady. iShares Equity Factor holds Efficiency (Sharpe) Ratio of 0.16, which attests that the entity had a 0.16% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares Equity Factor, which you can use to evaluate the volatility of the entity. Please check out IShares Equity's Downside Deviation of 0.8358, risk adjusted performance of 0.1244, and Market Risk Adjusted Performance of 0.1439 to validate if the risk estimate we provide is consistent with the expected return of 0.13%. The etf retains a Market Volatility (i.e., Beta) of 0.87, which attests to possible diversification benefits within a given portfolio. IShares Equity returns are very sensitive to returns on the market. As the market goes up or down, IShares Equity is expected to follow.
Auto-correlation | 0.95 |
Excellent predictability
iShares Equity Factor has excellent predictability. Overlapping area represents the amount of predictability between IShares Equity time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 Equity Factor price movement. The serial correlation of 0.95 indicates that approximately 95.0% of current IShares Equity price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.95 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 0.42 |
iShares Equity Factor lagged returns against current returns
Autocorrelation, which is IShares Equity 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 Equity's etf expected returns. We can calculate the autocorrelation of IShares Equity returns to help us make a trade decision. For example, suppose you find that IShares Equity 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 Equity 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 Equity etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares Equity etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares Equity etf over time.
Current vs Lagged Prices |
| Timeline |
IShares Equity Lagged Returns
When evaluating IShares Equity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Equity etf have on its future price. IShares Equity 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 Equity autocorrelation shows the relationship between IShares Equity etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Equity Factor.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether iShares Equity Factor is a strong investment it is important to analyze IShares Equity'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 Equity's future performance. For an informed investment choice regarding IShares Etf, refer to the following important reports:Check out IShares Equity Correlation, IShares Equity Volatility and IShares Equity Alpha and Beta module to complement your research on IShares Equity. You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
IShares Equity 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.