IShares Edge (UK) Market Value
| IWQU Etf | 70.31 0.71 1.02% |
| Symbol | IShares |
IShares Edge '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 Edge'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 Edge.
| 05/26/2024 |
| 11/22/2024 |
If you would invest 0.00 in IShares Edge on May 26, 2024 and sell it all today you would earn a total of 0.00 from holding iShares Edge MSCI or generate 0.0% return on investment in IShares Edge over 180 days. IShares Edge is related to or competes with IShares MSCI, IShares JP, IShares MSCI, IShares Nasdaq, IShares Global, and IShares MSCI. IShares Edge is entity of United Kingdom More
IShares Edge 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 Edge'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 Edge MSCI upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.725 | |||
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 3.72 | |||
| Value At Risk | (1.03) | |||
| Potential Upside | 1.04 |
IShares Edge Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Edge's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Edge's standard deviation. In reality, there are many statistical measures that can use IShares Edge historical prices to predict the future IShares Edge's volatility.| Risk Adjusted Performance | 0.0276 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.1) | |||
| Treynor Ratio | 0.0798 |
iShares Edge MSCI Backtested Returns
Currently, iShares Edge MSCI is very steady. iShares Edge MSCI holds Efficiency (Sharpe) Ratio of 0.001, which attests that the entity had a 0.001% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares Edge MSCI, which you can use to evaluate the volatility of the entity. Please check out IShares Edge's Risk Adjusted Performance of 0.0276, downside deviation of 0.725, and Market Risk Adjusted Performance of 0.0898 to validate if the risk estimate we provide is consistent with the expected return of 7.0E-4%. The etf retains a Market Volatility (i.e., Beta) of 0.21, which attests to not very significant fluctuations relative to the market. As returns on the market increase, IShares Edge's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares Edge is expected to be smaller as well.
Auto-correlation | 0.16 |
Very weak predictability
iShares Edge MSCI has very weak predictability. Overlapping area represents the amount of predictability between IShares Edge time series from 26th of May 2024 to 24th of August 2024 and 24th of August 2024 to 22nd 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 Edge MSCI price movement. The serial correlation of 0.16 indicates that over 16.0% of current IShares Edge price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | 0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.97 |
iShares Edge MSCI lagged returns against current returns
Autocorrelation, which is IShares Edge 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 Edge's etf expected returns. We can calculate the autocorrelation of IShares Edge returns to help us make a trade decision. For example, suppose you find that IShares Edge 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 Edge 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 Edge etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares Edge etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares Edge etf over time.
Current vs Lagged Prices |
| Timeline |
IShares Edge Lagged Returns
When evaluating IShares Edge's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Edge etf have on its future price. IShares Edge 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 Edge autocorrelation shows the relationship between IShares Edge etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Edge MSCI.
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 Edge MSCI is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if IShares Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Ishares Edge Msci Etf. Highlighted below are key reports to facilitate an investment decision about Ishares Edge Msci Etf:Check out IShares Edge Correlation, IShares Edge Volatility and IShares Edge Alpha and Beta module to complement your research on IShares Edge. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
IShares Edge 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.