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Betas, Benchmarks and Beating the Market
Zura Kakushadze
出版
SSRN
, 2019
URL
http://books.google.com.hk/books?id=qin8zgEACAAJ&hl=&source=gbs_api
註釋
We give an explicit formulaic algorithm and source code for building long-only benchmark portfolios and then using these benchmarks in long-only market outperformance strategies. The benchmarks (or the corresponding betas) do not involve any principal components, nor do they require iterations. Instead, we use a multifactor risk model (which utilizes multilevel industry classification or clustering) specifically tailored to long-only benchmark portfolios to compute their weights, which are explicitly positive in our construction.