Jensen Quality Value Fund Statistic Functions Beta
| JNVIX Fund | USD 19.89 0.06 0.30% |
| Symbol |
The output start index for this execution was ten with a total number of output elements of fifty-one. The Beta measures systematic risk based on how returns on Jensen Quality Value correlated with the market. If Beta is less than 0 Jensen Quality generally moves in the opposite direction as compared to the market. If Jensen Quality Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Jensen Quality Value is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Jensen Quality is generally in the same direction as the market. If Beta > 1 Jensen Quality moves generally in the same direction as, but more than the movement of the benchmark.
Jensen Quality Technical Analysis Modules
Most technical analysis of Jensen Quality 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 Jensen from various momentum indicators to cycle indicators. When you analyze Jensen 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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
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| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Jensen Quality 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 Jensen Quality Value. We use our internally-developed statistical techniques to arrive at the intrinsic value of Jensen Quality Value based on widely used predictive technical indicators. In general, we focus on analyzing Jensen Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Jensen Quality'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 Jensen Quality's intrinsic value. In addition to deriving basic predictive indicators for Jensen Quality, we also check how macroeconomic factors affect Jensen Quality price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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 Jensen Quality 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, Jensen Quality's short interest history, or implied volatility extrapolated from Jensen Quality options trading.
Trending Themes
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Other Information on Investing in Jensen Mutual Fund
Jensen Quality financial ratios help investors to determine whether Jensen Mutual Fund 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 Jensen with respect to the benefits of owning Jensen Quality security.
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