I understand that the z score is the number of standard deviations that a data point is away from the mean of the population and that alpha is the return of the strategy after adjusting for market risk factors. [This post][1] (line
157
) seems to claim that alpha is defined by the negative of z-score.
# Our objective is to maximize alpha, where 'alpha' is defined by the negative of
# recent_returns_zscore factor.
objective = opt.MaximizeAlpha(-context.recent_returns_zscore)
I couldn't find any mention of a relation between the
z-score
and
alpha
when I tried to search for it.
How is the
alpha
defined by the
z-score
?
Is it a function of the
z score
?
Are there any sources where I can read about this?
[1]: https://www.quantopian.com/algorithms/5cb813755669f147e3c616e3