IShares SMI (Switzerland) Statistic Functions Beta
| CSSMI Etf | CHF 121.30 0.22 0.18% |
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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Beta measures systematic risk based on how returns on iShares SMI ETF correlated with the market. If Beta is less than 0 IShares SMI generally moves in the opposite direction as compared to the market. If IShares SMI Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one iShares SMI ETF is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of IShares SMI is generally in the same direction as the market. If Beta > 1 IShares SMI moves generally in the same direction as, but more than the movement of the benchmark.
IShares SMI Technical Analysis Modules
Most technical analysis of IShares SMI help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for IShares from various momentum indicators to cycle indicators. When you analyze IShares charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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About IShares SMI Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of iShares SMI ETF. We use our internally-developed statistical techniques to arrive at the intrinsic value of iShares SMI ETF based on widely used predictive technical indicators. In general, we focus on analyzing IShares Etf price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build IShares SMI's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of IShares SMI's intrinsic value. In addition to deriving basic predictive indicators for IShares SMI, we also check how macroeconomic factors affect IShares SMI price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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iShares SMI ETF pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if IShares SMI position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in IShares SMI will appreciate offsetting losses from the drop in the long position's value.IShares SMI Pair Trading
iShares SMI ETF Pair Trading Analysis
The ability to find closely correlated positions to IShares SMI could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IShares SMI when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back IShares SMI - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling iShares SMI ETF to buy it.
The correlation of IShares SMI is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as IShares SMI moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if iShares SMI ETF moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for IShares SMI can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in IShares Etf
IShares SMI financial ratios help investors to determine whether IShares Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in IShares with respect to the benefits of owning IShares SMI security.