Ishares Healthcare Providers Etf Market Value
IHF Etf | USD 52.06 0.14 0.27% |
Symbol | IShares |
The market value of iShares Healthcare 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 Healthcare's value that differs from its market value or its book value, called intrinsic value, which is IShares Healthcare'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 Healthcare's market value can be influenced by many factors that don't directly affect IShares Healthcare'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 Healthcare's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares Healthcare is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares Healthcare'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 Healthcare '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 Healthcare'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 Healthcare.
03/30/2024 |
| 04/29/2024 |
If you would invest 0.00 in IShares Healthcare on March 30, 2024 and sell it all today you would earn a total of 0.00 from holding iShares Healthcare Providers or generate 0.0% return on investment in IShares Healthcare over 30 days. IShares Healthcare is related to or competes with IShares Cybersecurity, IShares Robotics, and IShares Self. The index measures the performance of the healthcare providers sector of the U.S More
IShares Healthcare 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 Healthcare'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 Healthcare Providers upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.06 | |||
Information Ratio | (0.09) | |||
Maximum Drawdown | 5.49 | |||
Value At Risk | (1.38) | |||
Potential Upside | 1.03 |
IShares Healthcare Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Healthcare's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Healthcare's standard deviation. In reality, there are many statistical measures that can use IShares Healthcare historical prices to predict the future IShares Healthcare's volatility.Risk Adjusted Performance | 0.0116 | |||
Jensen Alpha | (0.05) | |||
Total Risk Alpha | (0.11) | |||
Sortino Ratio | (0.07) | |||
Treynor Ratio | 0.003 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IShares Healthcare'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 Healthcare Backtested Returns
We consider IShares Healthcare very steady. iShares Healthcare holds Efficiency (Sharpe) Ratio of 0.0115, which attests that the entity had a 0.0115% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares Healthcare, which you can use to evaluate the volatility of the entity. Please check out IShares Healthcare's Downside Deviation of 1.06, risk adjusted performance of 0.0116, and Market Risk Adjusted Performance of 0.013 to validate if the risk estimate we provide is consistent with the expected return of 0.0097%. The etf retains a Market Volatility (i.e., Beta) of 0.71, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, IShares Healthcare's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares Healthcare is expected to be smaller as well.
Auto-correlation | -0.63 |
Very good reverse predictability
iShares Healthcare Providers has very good reverse predictability. Overlapping area represents the amount of predictability between IShares Healthcare time series from 30th of March 2024 to 14th of April 2024 and 14th of April 2024 to 29th 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 Healthcare price movement. The serial correlation of -0.63 indicates that roughly 63.0% of current IShares Healthcare price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.63 | |
Spearman Rank Test | -0.59 | |
Residual Average | 0.0 | |
Price Variance | 0.35 |
iShares Healthcare lagged returns against current returns
Autocorrelation, which is IShares Healthcare 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 Healthcare's etf expected returns. We can calculate the autocorrelation of IShares Healthcare returns to help us make a trade decision. For example, suppose you find that IShares Healthcare 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 Healthcare 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 Healthcare etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares Healthcare etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares Healthcare etf over time.
Current vs Lagged Prices |
Timeline |
IShares Healthcare Lagged Returns
When evaluating IShares Healthcare's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Healthcare etf have on its future price. IShares Healthcare 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 Healthcare autocorrelation shows the relationship between IShares Healthcare etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Healthcare Providers.
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 Healthcare 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 Healthcare's short interest history, or implied volatility extrapolated from IShares Healthcare options trading.
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Try AI Portfolio ArchitectCheck out IShares Healthcare Correlation, IShares Healthcare Volatility and IShares Healthcare Alpha and Beta module to complement your research on IShares Healthcare. Note that the iShares Healthcare information on this page should be used as a complementary analysis to other IShares Healthcare'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 Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
IShares Healthcare 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.