Shelton Emerging Markets Fund Statistic Functions Beta
EMSQX Fund | USD 17.42 0.48 2.68% |
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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 Shelton Emerging Markets correlated with the market. If Beta is less than 0 Shelton Emerging generally moves in the opposite direction as compared to the market. If Shelton Emerging Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Shelton Emerging Markets is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Shelton Emerging is generally in the same direction as the market. If Beta > 1 Shelton Emerging moves generally in the same direction as, but more than the movement of the benchmark.
Shelton Emerging Technical Analysis Modules
Most technical analysis of Shelton Emerging 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 Shelton from various momentum indicators to cycle indicators. When you analyze Shelton 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 Shelton Emerging 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 Shelton Emerging Markets. We use our internally-developed statistical techniques to arrive at the intrinsic value of Shelton Emerging Markets based on widely used predictive technical indicators. In general, we focus on analyzing Shelton Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Shelton Emerging'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 Shelton Emerging's intrinsic value. In addition to deriving basic predictive indicators for Shelton Emerging, we also check how macroeconomic factors affect Shelton Emerging price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Shelton Emerging Markets pair trading
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 Shelton Emerging 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 Shelton Emerging will appreciate offsetting losses from the drop in the long position's value.Shelton Emerging Pair Trading
Shelton Emerging Markets Pair Trading Analysis
The ability to find closely correlated positions to Shelton Emerging could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Shelton Emerging 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 Shelton Emerging - 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 Shelton Emerging Markets to buy it.
The correlation of Shelton Emerging 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 Shelton Emerging moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Shelton Emerging Markets 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 Shelton Emerging 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.Other Information on Investing in Shelton Mutual Fund
Shelton Emerging financial ratios help investors to determine whether Shelton 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 Shelton with respect to the benefits of owning Shelton Emerging security.
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