Kraneshares Trust Etf Three Year Return
KraneShares Trust fundamentals help investors to digest information that contributes to KraneShares Trust's financial success or failures. It also enables traders to predict the movement of KraneShares Etf. The fundamental analysis module provides a way to measure KraneShares Trust's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to KraneShares Trust etf.
KraneShares |
KraneShares Trust ETF Three Year Return Analysis
KraneShares Trust's Tree Year Return shows the total annualized return generated from holding a fund or ETFs for the last three years. The return measure includes capital appreciation, losses, dividends paid, and all capital gains distributions. This return indicator is considered by many investors to be solid measures of fund mid-term performance.
More About Three Year Return | All Equity Analysis
Three Year Return | = | (Mean of Monthly Returns - 1) | X | 100% |
Although Three Year Fund Return indicator can give a sense of overall fund mid-term potential, it is recommended to compare fund performances against other similar funds, ETFs, or market benchmarks for the same 3 year interval.
CompetitionBased on the latest financial disclosure, KraneShares Trust has a Three Year Return of 0.0%. This indicator is about the same for the average (which is currently at 0.0) family and about the same as Defined Outcome (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).
KraneShares Three Year Return Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses KraneShares Trust's direct or indirect competition against its Three Year Return to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of KraneShares Trust could also be used in its relative valuation, which is a method of valuing KraneShares Trust by comparing valuation metrics of similar companies.KraneShares Trust is currently under evaluation in three year return as compared to similar ETFs.
Pair Trading with KraneShares Trust
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 Trust 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 Trust will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Principal Financial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Principal Financial 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 Principal Financial - 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 Principal Financial Group to buy it.
The correlation of Principal Financial 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 Principal Financial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Principal Financial 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 Principal Financial 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. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Other Tools for KraneShares Etf
When running KraneShares Trust's price analysis, check to measure KraneShares Trust's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy KraneShares Trust is operating at the current time. Most of KraneShares Trust's value examination focuses on studying past and present price action to predict the probability of KraneShares Trust's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move KraneShares Trust's price. Additionally, you may evaluate how the addition of KraneShares Trust to your portfolios can decrease your overall portfolio volatility.
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals |