KraneShares Electric (UK) Analysis
| KARS Etf | 16.13 0.19 1.19% |
KraneShares Electric Vehicles is fairly valued with Real Value of 16.07 and Hype Value of 16.13. The main objective of KraneShares Electric etf analysis is to determine its intrinsic value, which is an estimate of what KraneShares Electric Vehicles is worth, separate from its market price. There are two main types of KraneShares Etf analysis: fundamental analysis and technical analysis.
The KraneShares Electric etf is traded in UK on London Exchange, with the market opening at 08:00:00 and closing at 16:30:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in UK.
KraneShares |
Management Efficiency
KraneShares Electric's management efficiency ratios could be used to measure how well KraneShares Electric manages its routine affairs as well as how well it operates its assets and liabilities.Leadership effectiveness at KraneShares Electric Vehicles is a strong indicator of its financial stability. We analyze various metrics to provide insights into the stock's investment viability.
Returns 1 Y (10.80) | Total Assets 5.3 M | Returns YTD (15.55) |
Top KraneShares Electric Vehicles Etf Constituents
Technical Drivers
As of the 28th of November, KraneShares Electric secures the Downside Deviation of 2.27, risk adjusted performance of 0.098, and Mean Deviation of 1.87. KraneShares Electric Vehicles technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the etf's future prices. Please verify KraneShares Electric mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation to decide if KraneShares Electric Vehicles is priced some-what accurately, providing market reflects its recent price of 16.13 per share.KraneShares Electric Price Movement Analysis
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 Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. KraneShares Electric middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for KraneShares Electric. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
KraneShares Electric Outstanding Bonds
KraneShares Electric issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. KraneShares Electric uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most KraneShares bonds can be classified according to their maturity, which is the date when KraneShares Electric Vehicles has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
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KraneShares Electric Predictive Daily Indicators
KraneShares Electric intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of KraneShares Electric etf daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
KraneShares Electric Forecast Models
KraneShares Electric's time-series forecasting models are one of many KraneShares Electric's etf analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary KraneShares Electric's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.About KraneShares Etf Analysis
Etf analysis is the technique used by a trader or investor to examine and evaluate how KraneShares Electric prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling KraneShares shares will generate the highest return on investment. We also built our etf analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Etf such as KraneShares Electric. By using and applying KraneShares Etf analysis, traders can create a robust methodology for identifying KraneShares entry and exit points for their positions.
KraneShares Electric is entity of United Kingdom. It is traded as Etf on LSE exchange.
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Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in KraneShares Electric Vehicles. 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.