Global Franchise Portfolio Fund Statistic Functions Beta
MSGFX Fund | USD 35.60 0.13 0.36% |
Symbol |
The output start index for this execution was three with a total number of output elements of fifty-eight. The Beta measures systematic risk based on how returns on Global Franchise Por correlated with the market. If Beta is less than 0 Global Franchise generally moves in the opposite direction as compared to the market. If Global Franchise Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Global Franchise Por is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Global Franchise is generally in the same direction as the market. If Beta > 1 Global Franchise moves generally in the same direction as, but more than the movement of the benchmark.
Global Franchise Technical Analysis Modules
Most technical analysis of Global Franchise 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 Global from various momentum indicators to cycle indicators. When you analyze Global 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 Global Franchise 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 Global Franchise Portfolio. We use our internally-developed statistical techniques to arrive at the intrinsic value of Global Franchise Portfolio based on widely used predictive technical indicators. In general, we focus on analyzing Global Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Global Franchise'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 Global Franchise's intrinsic value. In addition to deriving basic predictive indicators for Global Franchise, we also check how macroeconomic factors affect Global Franchise price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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.Generate Optimal Portfolios
Align your risk and return expectations
Other Information on Investing in Global Mutual Fund
Global Franchise financial ratios help investors to determine whether Global 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 Global with respect to the benefits of owning Global Franchise security.
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |