Ishares Esg Aware Etf Market Value
| ESGD Etf | USD 78.24 0.36 0.46% |
| Symbol | IShares |
The market value of iShares ESG Aware 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 ESG's value that differs from its market value or its book value, called intrinsic value, which is IShares ESG'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 ESG's market value can be influenced by many factors that don't directly affect IShares ESG'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 ESG's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares ESG is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares ESG'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 ESG '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 ESG'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 ESG.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in IShares ESG on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding iShares ESG Aware or generate 0.0% return on investment in IShares ESG over 30 days. IShares ESG is related to or competes with IShares ESG, IShares ESG, IShares ESG, IShares MSCI, and IShares ESG. The fund generally will invest at least 90 percent of its assets in the component securities of the underlying index and... More
IShares ESG 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 ESG'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 ESG Aware upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.25) | |||
| Maximum Drawdown | 3.94 | |||
| Value At Risk | (1.66) | |||
| Potential Upside | 1.24 |
IShares ESG Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares ESG's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares ESG's standard deviation. In reality, there are many statistical measures that can use IShares ESG historical prices to predict the future IShares ESG's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | (0.22) |
iShares ESG Aware Backtested Returns
iShares ESG Aware holds Efficiency (Sharpe) Ratio of -0.11, which attests that the entity had a -0.11% return per unit of risk over the last 3 months. iShares ESG Aware exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IShares ESG's Market Risk Adjusted Performance of (0.21), risk adjusted performance of (0.08), and Standard Deviation of 0.8414 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.44, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, IShares ESG's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares ESG is expected to be smaller as well.
Auto-correlation | -0.67 |
Very good reverse predictability
iShares ESG Aware has very good reverse predictability. Overlapping area represents the amount of predictability between IShares ESG 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 ESG Aware price movement. The serial correlation of -0.67 indicates that around 67.0% of current IShares ESG price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.67 | |
| Spearman Rank Test | -0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
iShares ESG Aware lagged returns against current returns
Autocorrelation, which is IShares ESG 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 ESG's etf expected returns. We can calculate the autocorrelation of IShares ESG returns to help us make a trade decision. For example, suppose you find that IShares ESG 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 ESG 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 ESG etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares ESG etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares ESG etf over time.
Current vs Lagged Prices |
| Timeline |
IShares ESG Lagged Returns
When evaluating IShares ESG's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares ESG etf have on its future price. IShares ESG 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 ESG autocorrelation shows the relationship between IShares ESG etf current value and its past values and can show if there is a momentum factor associated with investing in iShares ESG Aware.
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 ESG Aware is a strong investment it is important to analyze IShares ESG'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 ESG's future performance. For an informed investment choice regarding IShares Etf, refer to the following important reports:Check out IShares ESG Correlation, IShares ESG Volatility and IShares ESG Alpha and Beta module to complement your research on IShares ESG. You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
IShares ESG 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.