Weekly S&P Stock Market Data

Contents

Weekly S&P Stock Market Data#

Weekly percentage returns for the S&P 500 stock index between 1990 and 2010.

  • Year: The year that the observation was recorded

  • Lag1: Percentage return for previous week

  • Lag2: Percentage return for 2 weeks previous

  • Lag3: Percentage return for 3 weeks previous

  • Lag4: Percentage return for 4 weeks previous

  • Lag5: Percentage return for 5 weeks previous

  • Volume: Volume of shares traded (average number of daily shares traded in billions)

  • Today: Percentage return for this week

  • Direction: A factor with levels ‘Down’ and ‘Up’ indicating whether the market had a positive or negative return on a given week.

Source#

Raw values of the S&P 500 were obtained from Yahoo Finance and then converted to percentages and lagged.

from ISLP import load_data
Weekly = load_data('Weekly')
Weekly.columns
Index(['Year', 'Lag1', 'Lag2', 'Lag3', 'Lag4', 'Lag5', 'Volume', 'Today',
       'Direction'],
      dtype='object')
Weekly.shape
(1089, 9)
Weekly.columns
Index(['Year', 'Lag1', 'Lag2', 'Lag3', 'Lag4', 'Lag5', 'Volume', 'Today',
       'Direction'],
      dtype='object')
Weekly.describe().iloc[:,:4]
Year Lag1 Lag2 Lag3
count 1089.000000 1089.000000 1089.000000 1089.000000
mean 2000.048669 0.150585 0.151079 0.147205
std 6.033182 2.357013 2.357254 2.360502
min 1990.000000 -18.195000 -18.195000 -18.195000
25% 1995.000000 -1.154000 -1.154000 -1.158000
50% 2000.000000 0.241000 0.241000 0.241000
75% 2005.000000 1.405000 1.409000 1.409000
max 2010.000000 12.026000 12.026000 12.026000