International Finance .

Running head: INTERNATIONAL FINANCE
International finance
Name of the student
Name of the university
Author note

1
INTERNATIONAL FINANCE
Table of Contents
Answer a)...................................................................................................................................2
Answer b)...................................................................................................................................3
Answer c)...................................................................................................................................3
Answer d)...................................................................................................................................4
Answer e)...................................................................................................................................4
Answer f)....................................................................................................................................5
Reference list..............................................................................................................................7

2
INTERNATIONAL FINANCE
Answer a)
-
4.0
%
-
3.5
%
-
3.0
%
-
2.5
%
-
2.0
%
-
1.5
%
-
1.0
%
-
0.5
%
0.0
% 0.5
% 1.0
% 1.5
% 2.0
% 2.5
% 3.0
% 3.5
% 4.0
% 4.5
% 5.0
% 5.5
%
0
2
4
6
8
10
12
Frequency
One of the significant task used in analyzing any data is done by characterizing the
location and the variability of the data set, which can be done with the help of skewness and
kurtosis. With the help of skewness, it can be said whether the data is positively skewed or
negatively skewed in nature. The histogram is one of the effective graphical technique which
is used for showing both the skewness and the kurtosis of any kind of data sets. Measurement
of the symmetry is done with the help of skewness (Alagidede and Ibrahim 2017). The
skewness in case of the normal distribution is zero and any data which have a skewness near
zero can be stated as the normal distribution.
By taking the historical data of the exchange rate dollars of the Australian Dollar and
pairing with the United States dollar from the month of December 2016 till December 2018,
the percentage changes in the values had been found.The mean, median, skewness, kurtosis,
standard deviation , standard error along with the maximum and minimum values have been
found out (Hajilee and Al Nasser 2014).