In [401: import sys sys.version sys.version info Out [ 40]: sys.version_info (major-3, minor-5, micro 4, releaselevel-'final', serial-o) Useful Python code In [41]; %matplot1ib inline import matplotlib import numpy as np import matplotlib.pyplot as plt import pandas as pd File Contents Returns to the following asset classes are contained in the file "MSCI WORLD" . "MSCI AC WORLD" "MSCI EUROPE . "MSCI EM" . "MSCI EAFE "MSCI PACIFIC" . "MSCI USA . "Treasury.Bond.10Y" . "Treasury.Bill.90D" Our set of risky assets for the analysis is MSCI EUROPE, MSCI USA, MSCI PACIFIC, Treasury.Bond.10Y In [421: # read in the data inpa th- "C: \ \ Users\ \Joseph \ \ Dropbox\ \NYU\ \MathPin \ \ " outpath "C:\ \Users\ \Joseph \\DropboxWNYUWMathrin \ \ code-RWReturnsPortfolios \\" infile = "ReturnsPortfolios.csv.' print(inpath+infile) indata pd . read-csv ( inpath + infile) = C:\Users\Joseph\Dropbox\NYU\MathFin\ReturnsPortfolios.csv In [401: import sys sys.version sys.version info Out [ 40]: sys.version_info (major-3, minor-5, micro 4, releaselevel-'final', serial-o) Useful Python code In [41]; %matplot1ib inline import matplotlib import numpy as np import matplotlib.pyplot as plt import pandas as pd File Contents Returns to the following asset classes are contained in the file "MSCI WORLD" . "MSCI AC WORLD" "MSCI EUROPE . "MSCI EM" . "MSCI EAFE "MSCI PACIFIC" . "MSCI USA . "Treasury.Bond.10Y" . "Treasury.Bill.90D" Our set of risky assets for the analysis is MSCI EUROPE, MSCI USA, MSCI PACIFIC, Treasury.Bond.10Y In [421: # read in the data inpa th- "C: \ \ Users\ \Joseph \ \ Dropbox\ \NYU\ \MathPin \ \ " outpath "C:\ \Users\ \Joseph \\DropboxWNYUWMathrin \ \ code-RWReturnsPortfolios \\" infile = "ReturnsPortfolios.csv.' print(inpath+infile) indata pd . read-csv ( inpath + infile) = C:\Users\Joseph\Dropbox\NYU\MathFin\ReturnsPortfolios.csv