|By Nathan Young|
July 13, 2017
When looking at data, it is important to understand how it is laid out and if everything seems appropriate. Skewness and distribution of data around the mean is key and Kurtosis helps with measuring that.
Data is usually distributed normally which means if you take a visual depiction of the data it would look like a bell shaped curve. If looking at statistics, a normal distribution is desired because this will give you best opportunity to find where standard deviations are along with other measures depending on the data.
There are a few different kinds of Kurtosis, so let us start with Leptokurtic. Visually, this is when the bell shape is skinny and tall compared to a normal bell curve distribution. What this can indicate is that the data is really close together and data falls off drastically sooner in relation to the mean.
Secondly there is Mesokurtic, and this appears with a fatter and shorter bell curve, indicate the data may be spread out further. Standard deviations and other statistical data will be different but that does not mean it will be incorrect.
Lastly, there is Platykurtic, which means the bell in the middle is really evened out and that could indicate data is further dispersed than all the other variations. However, just like the others, this does not mean it is positively or negatively affecting the research.
With Kurtosis, it allows people to view data and the skewness and begin taking it apart. Be sure to fully understand the statistical data and what you are searching for because it will vary between each investor and trader. Take a look through Macroaxis as well as other Internet articles as this may not be for all investors. Test it out on a demo account and see if it fits your current investing style. Kurtosis has been around for quite some time and will continue to be a tool in the toolbox of finance.