English

Decoding Stock Market with Quant Alphas

Portfolio Management 2018-02-12 v1 Mathematical Finance Risk Management

Abstract

We give an explicit algorithm and source code for extracting expected returns for stocks from expected returns for alphas. Our algorithm altogether bypasses combining alphas with weights into "alpha combos". Simply put, we have developed a new method for trading alphas which does not involve combining them. This yields substantial cost savings as alpha combos cost hedge funds around 3% of the P&L, while alphas themselves cost around 10%. Also, the extra layer of alpha combos, which our new method avoids, adds noise and suboptimality. We also arrive at our algorithm independently by explicitly constructing alpha risk models based on position data.

Keywords

Cite

@article{arxiv.1708.02984,
  title  = {Decoding Stock Market with Quant Alphas},
  author = {Zura Kakushadze and Willie Yu},
  journal= {arXiv preprint arXiv:1708.02984},
  year   = {2018}
}

Comments

20 pages; to appear in Journal of Asset Management

R2 v1 2026-06-22T21:10:50.761Z