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42' 33 60331 2023-11-17 09:20 7 12:00 Assuming we have a Python dataframe as the following format 211360331 A B 2010-02-08 1056.74 2010-02-09 1070.52 2010-02-10
42' 33" 60331 2023-11-17 09:20 7 12:00 Assuming we have a Python dataframe as the following format 211360331 A B 2010-02-08 1056.74 2010-02-09 1070.52 2010-02-10 1068.13 2010-02-11 1078.47 2010-02-12 1075.51 The correct syntax to generate the daily percentage return will be C DATE D sp500 Bore 211360331 SP500['daily_return'] SP500['daily_return'] = (SP500['sp500']/ SP500['sp500'-1].shift(1)) -1 20350331 360331 360331 SP500['daily_return'] 2113603 SP500['daily_return'] = (SP500['sp500']/ SP500['sp500'].shift(1)) -1 GIFTS 211360331 (SP500['sp500']/ SP500['sp500'].shift(-1)) -1 E SP500['daily_return'] = HOME 211360331 = 211360331 = ARE 211360331 (SP500['sp500']].shift(1)) -1 LONE 211360331 (SP500['sp500']/ SP500['sp500'-1] -1 2113603 211360331 211360331 211360331 211360331 211360331 CONS 211360331 EINE 211360331 211360331 211360331 211360331
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Data Analysis In Microsoft Excel
Authors: Alex Holloway
1st Edition
B0CCCPKTTX, 979-8852388452
