Which distribution is Leptokurtic?
Leptokurtic distributions are distributions with positive kurtosis larger than that of a normal distribution. A normal distribution has a kurtosis of exactly three. Therefore, a distribution with kurtosis greater than three would be labeled a leptokurtic distribution.
How do you determine Leptokurtic?
A leptokurtic distribution has excess positive kurtosis, where the kurtosis is greater than 3. The tails are fatter than the normal distribution.
Is it Leptokurtic or Platykurtic?
Though mesokurtic distributions have a kurtosis of three, leptokurtic and platykurtic distributions have positive and negative excess kurtosis, respectively. Therefore, leptokurtic distributions have a relatively high probability of extreme events, whereas the opposite is true for platykurtic distributions.
Are stock returns Leptokurtic?
The daily stock returns at Macedonian Stock Exchange (MSE) are characterized by high volatility and non-Gaussian behaviors as well as they are extremely leptokurtic. The analysis of MSE time series stock returns determine volatility clustering and high kurtosis.
How do you calculate kurtosis by hand?
Kurtosis = Fourth Moment / Second Moment2
- Kurtosis = 313209 / (365)2
- Kurtosis = 2.35.
What is an example of a Platykurtic distribution?
An example of a platykurtic distribution is the uniform distribution, which does not produce outliers. Distributions with a positive excess kurtosis are said to be leptokurtic.
What is flat a quartic?
Description. McBryde-Thomas flat-polar quartic is an equal-area pseudocylindrical projection. The projection is based on the quartic authalic projection. Its boundary meridians bulge outward excessively, producing considerable shape distortion near the map outline.
Is skewness a measure of dispersion?
Dispersion is a measure of range of distribution around the central location whereas skewness is a measure of asymmetry in a statistical distribution.
What is leptokurtic distribution?
Leptokurtic is a statistical distribution where the points along the X-axis are clustered, resulting in a higher peak, or higher kurtosis, than the curvature found in a normal distribution. This
What is the kurtosis of a normal distribution?
A normal distribution has a kurtosis of exactly three. Therefore, a distribution with kurtosis greater than three would be labeled a leptokurtic distribution. In general, leptokurtic distributions have heavier tails or a higher probability of extreme outlier values when compared to mesokurtic or platykurtic distributions.
What is the difference between mesokurtic and platykurtic distribution?
Mesokurtic distributions have kurtosis near 3.0, meaning that their outlier character is similar to that of the normal distribution. Platykurtic distributions have kurtosis less than 3.0, thus exhibiting less kurtosis than a normal distribution.
What is the difference between leptokurtosis and playkurtosis?
While leptokurtosis refers to greater outlier potential, mesokurtosis and playkurtosis describe lesser outlier potential. Mesokurtic distributions have kurtosis near 3.0, meaning that their outlier character is similar to that of the normal distribution.