Hey guys, I have got a statistical question about a paper from a financial journal article I just read.
In the article the author's investigaste the foreign exchange market and as part of that created a descriptive statistics table, the returns just represent simple daily buy-and-hold returns and Std Dev etc. are all for these, which looks roughly like this:
Exchange Rate A Exchange Rate B
Mean return (%) 0.268 0.336
Median return (%) 0.107 -0.007
Std Dev (%) 4.229 4.428
Skewness 0.781 0.885
Kurtosis 1.786 2.163
t-stat 0.993 1.192
This is just an example and there is around 10 different exchange rates on there but what I was wondering is how they calculated the t-stat? From what I have learned you calculate a t-stat by either comparing two samples, which would not make much sense since theres 10 different samples with varying degrees of correlations, or by having an assumed target mean against which to test, which as far as I know does not exist. Am I wrong about this or is there something I have missed?
Thanks for your time guys.
In the article the author's investigaste the foreign exchange market and as part of that created a descriptive statistics table, the returns just represent simple daily buy-and-hold returns and Std Dev etc. are all for these, which looks roughly like this:
Exchange Rate A Exchange Rate B
Mean return (%) 0.268 0.336
Median return (%) 0.107 -0.007
Std Dev (%) 4.229 4.428
Skewness 0.781 0.885
Kurtosis 1.786 2.163
t-stat 0.993 1.192
This is just an example and there is around 10 different exchange rates on there but what I was wondering is how they calculated the t-stat? From what I have learned you calculate a t-stat by either comparing two samples, which would not make much sense since theres 10 different samples with varying degrees of correlations, or by having an assumed target mean against which to test, which as far as I know does not exist. Am I wrong about this or is there something I have missed?
Thanks for your time guys.