Ishares Insurance Etf Market Value
| IAK Etf | USD 113.15 0.59 0.52% |
| Symbol | IShares |
The market value of iShares Insurance ETF 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 Insurance's value that differs from its market value or its book value, called intrinsic value, which is IShares Insurance'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 Insurance's market value can be influenced by many factors that don't directly affect IShares Insurance'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 Insurance's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares Insurance is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares Insurance'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 Insurance '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 Insurance'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 Insurance.
| 01/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in IShares Insurance on January 25, 2024 and sell it all today you would earn a total of 0.00 from holding iShares Insurance ETF or generate 0.0% return on investment in IShares Insurance over 90 days. IShares Insurance is related to or competes with Merck, Chevron Corp, and MagnaChip Semiconductor. The fund generally will invest at least 80 percent of its assets in the component securities of its underlying index and... More
IShares Insurance 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 Insurance'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 Insurance ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8075 | |||
| Information Ratio | 0.0456 | |||
| Maximum Drawdown | 3.84 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 1.22 |
IShares Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Insurance's standard deviation. In reality, there are many statistical measures that can use IShares Insurance historical prices to predict the future IShares Insurance's volatility.| Risk Adjusted Performance | 0.1084 | |||
| Jensen Alpha | 0.0824 | |||
| Total Risk Alpha | 0.016 | |||
| Sortino Ratio | 0.043 | |||
| Treynor Ratio | 0.2723 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IShares Insurance'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 Insurance ETF Backtested Returns
We consider IShares Insurance very steady. iShares Insurance ETF 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 thirty technical indicators for iShares Insurance ETF, which you can use to evaluate the volatility of the entity. Please check out IShares Insurance's Downside Deviation of 0.8075, market risk adjusted performance of 0.2823, and Risk Adjusted Performance of 0.1084 to validate if the risk estimate we provide is consistent with the expected return of 0.0989%. 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 Insurance's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares Insurance is expected to be smaller as well.
Auto-correlation | -0.44 |
Modest reverse predictability
iShares Insurance ETF has modest reverse predictability. Overlapping area represents the amount of predictability between IShares Insurance time series from 25th of January 2024 to 10th of March 2024 and 10th of March 2024 to 24th 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 Insurance ETF price movement. The serial correlation of -0.44 indicates that just about 44.0% of current IShares Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.44 | |
| Spearman Rank Test | -0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 4.46 |
iShares Insurance ETF lagged returns against current returns
Autocorrelation, which is IShares Insurance 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 Insurance's etf expected returns. We can calculate the autocorrelation of IShares Insurance returns to help us make a trade decision. For example, suppose you find that IShares Insurance 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 Insurance 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 Insurance etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares Insurance etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares Insurance etf over time.
Current vs Lagged Prices |
| Timeline |
IShares Insurance Lagged Returns
When evaluating IShares Insurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Insurance etf have on its future price. IShares Insurance 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 Insurance autocorrelation shows the relationship between IShares Insurance etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Insurance ETF.
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 Insurance 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 Insurance's short interest history, or implied volatility extrapolated from IShares Insurance options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out IShares Insurance Correlation, IShares Insurance Volatility and IShares Insurance Alpha and Beta module to complement your research on IShares Insurance. Note that the iShares Insurance ETF information on this page should be used as a complementary analysis to other IShares Insurance'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 File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
IShares Insurance 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.