KraneShares CSI (UK) Statistic Functions Beta
KWBE Etf | 14.04 0.22 1.54% |
Symbol |
The output start index for this execution was twenty with a total number of output elements of fourty-one. The Beta measures systematic risk based on how returns on KraneShares CSI China correlated with the market. If Beta is less than 0 KraneShares CSI generally moves in the opposite direction as compared to the market. If KraneShares CSI Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one KraneShares CSI China is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of KraneShares CSI is generally in the same direction as the market. If Beta > 1 KraneShares CSI moves generally in the same direction as, but more than the movement of the benchmark.
KraneShares CSI Technical Analysis Modules
Most technical analysis of KraneShares CSI 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 KraneShares from various momentum indicators to cycle indicators. When you analyze KraneShares 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 | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
About KraneShares CSI 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 KraneShares CSI China. We use our internally-developed statistical techniques to arrive at the intrinsic value of KraneShares CSI China based on widely used predictive technical indicators. In general, we focus on analyzing KraneShares Etf price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build KraneShares CSI'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 KraneShares CSI's intrinsic value. In addition to deriving basic predictive indicators for KraneShares CSI, we also check how macroeconomic factors affect KraneShares CSI price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Learn to be your own money manager
As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Did you try this?
Run Portfolio Analyzer Now
Portfolio AnalyzerPortfolio analysis module that provides access to portfolio diagnostics and optimization engine |
All Next | Launch Module |
KraneShares CSI China 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 KraneShares CSI 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 KraneShares CSI will appreciate offsetting losses from the drop in the long position's value.KraneShares CSI Pair Trading
KraneShares CSI China Pair Trading Analysis
The ability to find closely correlated positions to KraneShares CSI could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace KraneShares CSI 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 KraneShares CSI - 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 KraneShares CSI China to buy it.
The correlation of KraneShares CSI 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 KraneShares CSI moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if KraneShares CSI China 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 KraneShares CSI 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.Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in KraneShares CSI China. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.