IShares Trust (Mexico) Market Value
| IXJ Etf | MXN 1,874 43.56 2.38% |
| Symbol | IShares |
IShares Trust '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 Trust'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 Trust.
| 12/03/2022 |
| 11/22/2024 |
If you would invest 0.00 in IShares Trust on December 3, 2022 and sell it all today you would earn a total of 0.00 from holding iShares Trust or generate 0.0% return on investment in IShares Trust over 720 days. IShares Trust is related to or competes with Vanguard Index, Vanguard Index, Vanguard STAR, SPDR SP, IShares Trust, Vanguard Bond, and Invesco QQQ. The investment seeks to track the SP Global 1200 Health Care IndexTM More
IShares Trust 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 Trust'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 Trust upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 8.97 | |||
| Value At Risk | (2.42) | |||
| Potential Upside | 2.61 |
IShares Trust Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Trust's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Trust's standard deviation. In reality, there are many statistical measures that can use IShares Trust historical prices to predict the future IShares Trust's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | 1.91 |
iShares Trust Backtested Returns
iShares Trust holds Efficiency (Sharpe) Ratio of -0.022, which attests that the entity had a -0.022% return per unit of risk over the last 3 months. iShares Trust exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IShares Trust's Risk Adjusted Performance of (0.01), standard deviation of 1.54, and Market Risk Adjusted Performance of 1.92 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of -0.0192, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning IShares Trust are expected to decrease at a much lower rate. During the bear market, IShares Trust is likely to outperform the market.
Auto-correlation | -0.66 |
Very good reverse predictability
iShares Trust has very good reverse predictability. Overlapping area represents the amount of predictability between IShares Trust time series from 3rd of December 2022 to 28th of November 2023 and 28th of November 2023 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 Trust price movement. The serial correlation of -0.66 indicates that around 66.0% of current IShares Trust price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.66 | |
| Spearman Rank Test | -0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 33.6 K |
iShares Trust lagged returns against current returns
Autocorrelation, which is IShares Trust 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 Trust's etf expected returns. We can calculate the autocorrelation of IShares Trust returns to help us make a trade decision. For example, suppose you find that IShares Trust 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 Trust 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 Trust etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares Trust etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares Trust etf over time.
Current vs Lagged Prices |
| Timeline |
IShares Trust Lagged Returns
When evaluating IShares Trust's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Trust etf have on its future price. IShares Trust 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 Trust autocorrelation shows the relationship between IShares Trust etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Trust .
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.Additional Information and Resources on Investing in IShares Etf
When determining whether iShares Trust is a strong investment it is important to analyze IShares Trust'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 Trust's future performance. For an informed investment choice regarding IShares Etf, refer to the following important reports:Check out IShares Trust Correlation, IShares Trust Volatility and IShares Trust Alpha and Beta module to complement your research on IShares Trust. For more information on how to buy IShares Etf please use our How to Invest in IShares Trust guide.You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
IShares Trust 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.