QUESTIONS
- What is the motivation of using the Alpha Repair investment process?
- What's the objective function used to select factors in the Alpha Repair strategy?
- Why should a relatively small number of factors such as three factors be selected?
- Does the more frequent change of factors selected in recent years mean higher stock turnovers?
- Are stock portfolios simply a basket of the top ranked stocks?
1 The persistence of volatility and correlation are well documented, and are at the heart of generalized autoregressive conditional heteroscedasticity (GARCH) forecasting models. See, for example: Robert Engle and Joseph Mezrich, “Grappling with GARCH,” Risk 8, no. 8 (1995): 112–117; and Robert Engle and Joseph Mezrich “GARCH for Groups,” Risk 9, no. 8 (1996): 35–40. We do not use GARCH forecasting models here, but we do rely on the persistence of covariance.
2 The surprisingly low number of factors is basically consistent with an observation from our principal components analysis that 80% of the variance in our set of factors (excluding beta and one-month return) is produced by three principal components.
3 See Joseph J. Mezrich and Junbo Feng, “Alpha Repair,” Nomura Securities International Inc., January 22, 2007.
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