Empiric 2500 Fund Statistic Functions Linear Regression Slope
| EMCCX Fund | USD 58.80 0.36 0.61% |
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The output start index for this execution was nine with a total number of output elements of fifty-two. The Linear Regression Slope is the rate of change in Empiric 2500 price series over its benchmark or peer price series.
Empiric 2500 Technical Analysis Modules
Most technical analysis of Empiric 2500 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 Empiric from various momentum indicators to cycle indicators. When you analyze Empiric 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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| Volume Indicators |
About Empiric 2500 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 Empiric 2500 Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Empiric 2500 Fund based on widely used predictive technical indicators. In general, we focus on analyzing Empiric Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Empiric 2500'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 Empiric 2500's intrinsic value. In addition to deriving basic predictive indicators for Empiric 2500, we also check how macroeconomic factors affect Empiric 2500 price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Empiric 2500's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Empiric 2500 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 Empiric 2500 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 Empiric 2500 will appreciate offsetting losses from the drop in the long position's value.Empiric 2500 Pair Trading
Empiric 2500 Fund Pair Trading Analysis
The ability to find closely correlated positions to Empiric 2500 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Empiric 2500 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 Empiric 2500 - 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 Empiric 2500 Fund to buy it.
The correlation of Empiric 2500 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 Empiric 2500 moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Empiric 2500 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 Empiric 2500 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 Empiric Mutual Fund
Empiric 2500 financial ratios help investors to determine whether Empiric 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 Empiric with respect to the benefits of owning Empiric 2500 security.
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