import pandas_datareader as wb import pandas as pd from datetime import datetime from sklearn…

import pandas_datareader as wb
import pandas as pd
from datetime import datetime
from sklearn import linear_model
from sklearn.metrics import r2_score
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
#Through this excercise we will answer the question does difference in rates affects the FX rates
#Download "Overnight London Interbank Offered Rate (LIBOR), based on U.S. Dollar " from Jan 1 2010 to today from FRED
#Download "Overnight London Interbank Offered Rate (LIBOR), based on Euro " from Jan 1 2010 to today from FRED
#Download "U.S. / Euro Foreign Exchange Rate" from Jan 1 2010 to today from FRED
#Drop NaN from each dataframe, done via df.dropna()
#Bring them all together for common dates
#Calculated the ABSOLUTE difference between EUR and USD rates
#Calculate the per cent change for EUR FX rate and difference between USD & EUR rates
#Regress whether change in difference in USD & EUR rates has effect on EUR FX rate
#Check your r2 score
#Answer the question -- does change in rates affect the change in FX rates?

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