Hello, I ran a time series regression where all the variables (dependent and independent) are expressed as % return for each period. However, I am not sure how to interpret the coefficient results.
For instance, variable A is the dependent variable and variable B is the independent variables: the coefficient is -0.869.
Does it mean that a 1% increase in returns for B leads to a 0.869% decrease in returns for A?
Thank you in advance
For instance, variable A is the dependent variable and variable B is the independent variables: the coefficient is -0.869.
Does it mean that a 1% increase in returns for B leads to a 0.869% decrease in returns for A?
Thank you in advance
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