one to one coaching
Spearman's Rank Correlation

Spearman's Rank Correlation

No permission to download
Spearman's Rank Correlation is a non-parametric method used in order to make statistical studies of relationship between variables. In this case, the factual degree of parallelism between two numeric sequences will be detected.

The practical calculation of Spearman's Rank Correlation includes the following stages:


1) pair each indication with its number (rank) and rank them from the highest to the lowest or vice versa;

2) subtract the two sets of ranks of each pair of values to be compared;

3) square each difference and add the obtained values;

4) calculate the rank correlation from the following formula:


,

where
is the sum of squares of rank differences,
is the number of paired observations.


When employing the rank correlation, one conditionally estimates the correlation ratio between indications considering the values being equal to or below 0.3 to be the indications of low correlation ratio, whereas the values between 0.4 and 0.7 are considered to indicate a moderate correlation ratio, values above 0.7 - to indicate a high correlation ratio.


Spearman's Rank Correlation is a little less powerful than the Parametric Correlation.


It is reasonable to use the rank correlation when there is just a small amount of observations. This method can be used for both numerical data and in the cases, when the registered values are detected by attributes of various intensity. The source of the above description

spearmenrankcorrelation_2.gif


This indicator is one of oscillators. However, being compared to stochastic oscillator, it is smoother. Moreover, it does not delay in pivot points.


The only external parameter that influences the calculation algorithms is rangeN. It sets the amount of bars, for which we are trying to find regularities. If rangeN = 14, then we take the close price sequence Close, Close[i+1], ... Close[i+rangeN-1], and construct a rank sequence for them, i.e., we find the location of each close price when the sequence is sorted. In this case, one real chart turns to be compared to another, monotone increasing chart.

The parameter of direction means sorting from the highest to the lowest value (true) or from the lowest to the highest value (false). The value of true shows a more usual picture, whereas false produces an inverted image. Parameter CalculatedBars is introduced in order to limit the amount of bars under calculation, to save CPU resources (though that wasn't needed). Zero value of this parameter means that calculations will be performed for all history available. Parameter Maxrange = 30 sets the maximum calculation period. This parameter was introduced in order to save resources, as well, so maybe somebody will need it.
Author
Salvador
Downloads
1
Views
45
First release
Last update
Rating
0.00 star(s) 0 ratings
Top