On the Incorporation of Direction and Magnitude in Statistical Correlation: Application to Gene-Microarray DataMano R. Maurya
Put option contracts become more profitable when the underlying stock price decreases. In other words, as the stock price increases, the put option prices go down, which is a direct and high-magnitude negative correlation. How to Calculate Correlation There are several methods of calculating correla...
Data that is interval or ratio level. Furthermore, this type of data possesses the properties of magnitude and equal intervals between adjacent units. Specifically, an equal intervals between adjacent units means that there are equal amounts of the variable being measured between adjacent units on ...
Doesn't Capture Volatility: Correlation doesn't give you any information about the magnitude of asset price movements. Two assets might have a low correlation, but if one is highly volatile, it could still contribute significantly to portfolio risk. Therefore, correlation and volatility measures, su...
Combining the sign of Pearson correlation coefficients with standard deviation magnitudes indicates magnitude and direction of correlation changes. These visualization methods are used to investigate mathematically generated three-way data. Results show that a small number of figures can illustrate variation ...
Because the magnitude of the cross-products depends on the unit of measurement chosen for each variable, the sum of the cross-products for any two variables may not be comparable to the sum of cross-products for any other two variables. Moreover, the sum of cross-products will depend on ...
less susceptible to dipolar truncation than first-order recoupling and they allow probing longer-range distance. Nevertheless, the magnitude of the second-order Hamiltonian is inversely proportional to the MAS frequency and hence, these second-order recoupling are less efficient at high MAS frequency....
Direct and indirect effects of vegetative traits on pod yield The direction and magnitude of the correlation between yield and yield components is important for determining the important characteristics that may be implemented in the breeding programme as a crop enhancement approach, depending on selectiv...
In addition to outliers, additional data features that can affect the magnitude of the Pearson correlation include non-linearity, restriction of range, the magnitude of residuals, and rotating points (i.e., the magnitude of the slope around which points cluster) (Wilcox, 2016). Pearson ...
The R index provides an indication of the direction and strength of the linear relationship between the actual and estimated values through the interpretation of its sign (i.e., positive or negative) and magnitude (which has a range of [˗1, 1]). It is an intuitive and easy way to ...