Fecon Mining (Vietnam) Statistic Functions Pearson Correlation Coefficient

FCM Stock   3,120  20.00  0.64%   
Fecon Mining statistic functions tool provides the execution environment for running the Pearson Correlation Coefficient function and other technical functions against Fecon Mining. Fecon Mining 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 Pearson Correlation Coefficient function function is designed to identify and follow existing trends. Fecon Mining 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.

Function
Time Period
Execute Function
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Pearsons Correlation Coefficient is one of the most common measures of correlation in financial statistics. It shows the linear relationship between price series of Fecon Mining JSC and its benchmark or peer.

Fecon Mining Technical Analysis Modules

Most technical analysis of Fecon Mining 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 Fecon from various momentum indicators to cycle indicators. When you analyze Fecon 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 Fecon Mining 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 Fecon Mining JSC. We use our internally-developed statistical techniques to arrive at the intrinsic value of Fecon Mining JSC based on widely used predictive technical indicators. In general, we focus on analyzing Fecon Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Fecon Mining'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 Fecon Mining's intrinsic value. In addition to deriving basic predictive indicators for Fecon Mining, we also check how macroeconomic factors affect Fecon Mining price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
3,1193,1203,121
Details
Intrinsic
Valuation
LowRealHigh
2,9262,9273,432
Details
Naive
Forecast
LowNextHigh
3,1853,1863,187
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
3,0813,1283,175
Details

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Technical Analysis

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Fecon Mining JSC 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 Fecon Mining 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 Fecon Mining will appreciate offsetting losses from the drop in the long position's value.

Fecon Mining Pair Trading

Fecon Mining JSC Pair Trading Analysis

The ability to find closely correlated positions to Fecon Mining could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fecon Mining 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 Fecon Mining - 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 Fecon Mining JSC to buy it.
The correlation of Fecon Mining 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 Fecon Mining moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fecon Mining JSC 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 Fecon Mining 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.
Pair CorrelationCorrelation Matching

Other Information on Investing in Fecon Stock

Fecon Mining financial ratios help investors to determine whether Fecon Stock 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 Fecon with respect to the benefits of owning Fecon Mining security.