Multimanager Lifestyle Moderate Fund Statistic Functions Beta

JCLMX Fund  USD 12.80  0.05  0.39%   
Multimanager Lifestyle statistic functions tool provides the execution environment for running the Beta function and other technical functions against Multimanager Lifestyle. Multimanager Lifestyle value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Beta function function is designed to identify and follow existing trends. Multimanager Lifestyle statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixty. The Beta measures systematic risk based on how returns on Multimanager Lifestyle correlated with the market. If Beta is less than 0 Multimanager Lifestyle generally moves in the opposite direction as compared to the market. If Multimanager Lifestyle Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Multimanager Lifestyle is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Multimanager Lifestyle is generally in the same direction as the market. If Beta > 1 Multimanager Lifestyle moves generally in the same direction as, but more than the movement of the benchmark.

Multimanager Lifestyle Technical Analysis Modules

Most technical analysis of Multimanager Lifestyle 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 Multimanager from various momentum indicators to cycle indicators. When you analyze Multimanager 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.

About Multimanager Lifestyle 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 Multimanager Lifestyle Moderate. We use our internally-developed statistical techniques to arrive at the intrinsic value of Multimanager Lifestyle Moderate based on widely used predictive technical indicators. In general, we focus on analyzing Multimanager Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Multimanager Lifestyle'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 Multimanager Lifestyle's intrinsic value. In addition to deriving basic predictive indicators for Multimanager Lifestyle, we also check how macroeconomic factors affect Multimanager Lifestyle price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
12.4912.8013.11
Details
Intrinsic
Valuation
LowRealHigh
12.4512.7613.07
Details

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 Multimanager Lifestyle 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, Multimanager Lifestyle's short interest history, or implied volatility extrapolated from Multimanager Lifestyle options trading.

Trending Themes

If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.
Business Services Idea
Business Services
Invested few shares
Investor Favorites Idea
Investor Favorites
Invested few shares
Blockchain Idea
Blockchain
Invested few shares
Disruptive Technologies Idea
Disruptive Technologies
Invested few shares
Driverless Cars Idea
Driverless Cars
Invested over 50 shares
Hedge Favorites Idea
Hedge Favorites
Invested over 60 shares
Macroaxis Index Idea
Macroaxis Index
Invested few shares
Power Assets Idea
Power Assets
Invested over 200 shares
ESG Investing Idea
ESG Investing
Invested few shares
FinTech Idea
FinTech
Invested over 40 shares
SRI Sustainable Growth Idea
SRI Sustainable Growth
Invested few shares

Other Information on Investing in Multimanager Mutual Fund

Multimanager Lifestyle financial ratios help investors to determine whether Multimanager 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 Multimanager with respect to the benefits of owning Multimanager Lifestyle security.
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm