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Olive: A Simple Method For Estimating Betas When Factors Are Measured With Error

  • J. Ginger Meng
  • Gang Hu
  • Jushan Bai

We propose a simple and intuitive method for estimating betas when factors are measured with error: ordinary least squares instrumental variable estimator (OLIVE). OLIVE performs well when the number of instruments becomes large, while the performance of conventional instrumental variable methods becomes poor or even infeasible. In an empirical application, OLIVE beta estimates improve R-squared significantly. More importantly, our results help resolve two puzzling findings in the prior literature: first, the sign of average risk premium on the beta for market return changes from negative to positive; second, the estimated value of average zero-beta rate is no longer too high.

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Article provided by Southern Finance Association & Southwestern Finance Association in its journal Journal of Financial Research.

Volume (Year): 34 (2011)
Issue (Month): 1 (03)
Pages: 27-60

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Handle: RePEc:bla:jfnres:v:34:y:2011:i:1:p:27-60
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