Estimation for a Second-Order Jump Diffusion Model from Discrete Observations: Application to Stock Market Returns

Table 2

Summary statistics.

Statistic
Mean	3.7957	0.0011
Standard deviation	0.4370	0.0314
Skewness	−0.1045	7.4655
Excess kurtosis	−1.4564	155.9618
Minimum	3.1268	−0.1788
Maximum	4.7173	0.6602
Jarque-Bera

Indicates significance at 1% level.
Note: The statistics reported are for log-price () and change (). The Jarque-Bera statistic tests for normality distribution. If the data are normally distributed, the skewness is 0, whereas the kurtosis is equal to 3.