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normally distributed

Posted: Wed Sep 03, 2014 8:06 pm
by tarox
Dear all

i have returns data for two indices ,two kind of mutual funds and free risk from Jan 2003 - Jul 2014.... i did the descriptive statistics and the result for Jarque Bera for all data less than 0.05 and i transformed the data to Ln but still the same problem but the other result like Skewness and Kurtosis
show better result than normal data.....my equations are

1- is it ok for my data to be not normally distributed ?
2- how could i make Two-sample t-tests for a difference in mean between mutual funds and indices in eviews ?

thank you

Re: normally distributed

Posted: Sun Sep 14, 2014 1:17 am
by Carlo Lazzaro
Tarox:
- you can visually inspect your data distribution and check whether or not it is (or approaches) a normal one. However, as per the details you give, this would not seem the case.
- should your raw data be not normally distributed you can consider performing a bootstrap ttest on untransformed raw data.

Kind regards,
Carlo

Re: normally distributed

Posted: Thu Oct 16, 2014 9:45 am
by tarox
thank you very much Mr carlo