학술논문

Decoding Stock Market with Quant Alphas
Document Type
Working Paper
Source
Journal of Asset Management 19(1) (2018) 38-48
Subject
Quantitative Finance - Portfolio Management
Quantitative Finance - Mathematical Finance
Quantitative Finance - Risk Management
Language
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.
Comment: 20 pages; to appear in Journal of Asset Management