Journal of Applied Mathematics and Physics

Volume 11, Issue 11 (November 2023)

ISSN Print: 2327-4352   ISSN Online: 2327-4379

Google-based Impact Factor: 0.70  Citations  

Distributed Estimator of Market Beta under Extreme Conditions

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DOI: 10.4236/jamp.2023.1111232    57 Downloads   237 Views  
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ABSTRACT

Market beta is a measure of the volatility or systematic risk of a security or portfolio compared to the market as a whole. This paper considers the distributed estimation of market beta in the case of massive data, and obtains the consistency and asymptotic normality of the estimator. Further, simulations show the finite sample properties of this estimator.

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Zhu, S. (2023) Distributed Estimator of Market Beta under Extreme Conditions. Journal of Applied Mathematics and Physics, 11, 3676-3701. doi: 10.4236/jamp.2023.1111232.

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