Ishares High Dividend Etf Market Value
| XHD Etf | CAD 31.65 0.11 0.35% |
| Symbol | IShares |
IShares High '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 High'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 High.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in IShares High on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding iShares High Dividend or generate 0.0% return on investment in IShares High over 30 days. IShares High is related to or competes with IShares Dividend, IShares MSCI, IShares Edge, IShares MSCI, and IShares Global. The investment seeks to replicate, net of expenses, the Morningstar Dividend Yield Focus Index CAD-Hedged More
IShares High 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 High'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 High Dividend upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5639 | |||
| Information Ratio | 0.0063 | |||
| Maximum Drawdown | 2.98 | |||
| Value At Risk | (0.94) | |||
| Potential Upside | 0.887 |
IShares High Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares High's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares High's standard deviation. In reality, there are many statistical measures that can use IShares High historical prices to predict the future IShares High's volatility.| Risk Adjusted Performance | 0.079 | |||
| Jensen Alpha | 0.0227 | |||
| Total Risk Alpha | 0.0094 | |||
| Sortino Ratio | 0.0062 | |||
| Treynor Ratio | 0.0923 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IShares High's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
iShares High Dividend Backtested Returns
We consider IShares High very steady. iShares High Dividend holds Efficiency (Sharpe) Ratio of 0.13, which attests that the entity had a 0.13% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares High Dividend, which you can use to evaluate the volatility of the entity. Please check out IShares High's Risk Adjusted Performance of 0.079, downside deviation of 0.5639, and Market Risk Adjusted Performance of 0.1023 to validate if the risk estimate we provide is consistent with the expected return of 0.0744%. The etf retains a Market Volatility (i.e., Beta) of 0.67, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, IShares High's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares High is expected to be smaller as well.
Auto-correlation | -0.84 |
Excellent reverse predictability
iShares High Dividend has excellent reverse predictability. Overlapping area represents the amount of predictability between IShares High time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 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 High Dividend price movement. The serial correlation of -0.84 indicates that around 84.0% of current IShares High price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.84 | |
| Spearman Rank Test | -0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
iShares High Dividend lagged returns against current returns
Autocorrelation, which is IShares High 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 High's etf expected returns. We can calculate the autocorrelation of IShares High returns to help us make a trade decision. For example, suppose you find that IShares High 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 High 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 High etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares High etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares High etf over time.
Current vs Lagged Prices |
| Timeline |
IShares High Lagged Returns
When evaluating IShares High's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares High etf have on its future price. IShares High 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 High autocorrelation shows the relationship between IShares High etf current value and its past values and can show if there is a momentum factor associated with investing in iShares High Dividend.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards IShares High in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, IShares High's short interest history, or implied volatility extrapolated from IShares High options trading.
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.Check out IShares High Correlation, IShares High Volatility and IShares High Alpha and Beta module to complement your research on IShares High. Note that the iShares High Dividend information on this page should be used as a complementary analysis to other IShares High's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
IShares High 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.