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We have N companies. For our research, we aim to run monthly cross - sectional regression, in our regression, we regress excess stock returns on

We have N companies. For our research, we aim to run monthly cross-sectional regression, in our regression, we regress excess stock returns on the Tax planning measure, and other control variables. Our tax planning measure is Cash effective tax rate (CETR),where lower the rate means aggressive tax planner the company is.
Then we extract coefficients from monthly regression for Tax planning measure (Monthly betas for tax planning) and regress them on Fama French five factors in step 2 as time series regression to analyse if Tax planning pays premia. We think if we get significant negative alpha it would mean that tax planning is associated with premia. Is this possible that beta coefficients from step 1 are insignificant whereas, intercept in the step 2 is significant. If yes why, if no why?

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