I understand how to calculate a rolling sum, std or average. Example:
df['MA10'] = df['Asset1'].rolling(10).mean()
But I don't understand the syntax to calculate the rolling correlation between two dataframes columns: df['Asset1']
and df['Asset2']
The documentation doesn't provide any example regarding the correlation.
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.rolling.html
Any insights?
Thanks!
It's in there, even if hidden a bit:
df['Asset1'].rolling(10).corr(df['Asset2'])