Supreme Court Judgement Effect Stock Market? Part 2
Analyzing the Influence of Supreme Court Decisions on Market Dynamics: A Data-Driven Approach in Python
Today we are going to code a paper which talk about how supreme court judgement or order effects stock market, or stock price. Check paper out here.
Today we are going to analyse the arguments. So let’s start coding.
%matplotlib inline
# Imports
import datetime
import dateutil.parser
import matplotlib.pyplot as plt
import numpy
import os
import pandas
import re
import scipy.stats
import seaborn
import string
# sklearn
import sklearn
import sklearn.tree
import sklearn.utils
# Style
seaborn.set_style("darkgrid")
This Python code is configuring an environment for data analysis and visualization focused on examining the impact of Supreme Court decisions on stock returns. It appears to be part of a larger analysis looking into the correlation between court rulings and abnormal stock performance.
The code begins by enabling inline plotting for Jupyter notebooks, which allows matplotlib graphs to be displayed directly below the code cells that produce them. It then proceeds to import various utilities and libraries such as datetime and dateutil for handling date and time data, matplotlib for plotting graphs, numpy for numerical operations, pandas for data manipulation and analysis, and re for regular expression operations.