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Orthogonality and Diversification in Alpha and Portfolio Risk

Article Quant Q&A · Author: senorita.xi

Summary

The document addresses how “orthogonal” is used when discussing alpha, risk sources, and portfolio factors. Its answer gives an intuitive interpretation: two return streams move independently, so one’s direction does not determine whether the other rises, falls, or stays unchanged. In portfolio construction, the idea is that a new alpha or source of return should contribute exposure distinct from existing factors and strategies, which can help diversify the portfolio.

The explanation is brief and offers no equations, examples, or empirical evidence. It also equates orthogonality with statistical independence, which is a stronger condition than the usual quantitative-finance meaning of zero covariance or zero linear correlation. Thus, the answer conveys the diversification intuition but should not be treated as a precise statistical definition. The relevant measure of orthogonality depends on how the returns or exposures are represented and compared.

Key ideas

  • Orthogonality is presented as a way to describe distinct sources of portfolio return.
  • A new alpha is intended to add exposure that differs from existing factors or strategies.
  • The answer associates orthogonality with independent movements between return streams.
  • Statistical independence is stronger than zero correlation, so the explanation is an intuition rather than a complete definition.
  • No empirical evidence or formal portfolio example is provided.

Tags

Full text
# Orthogonal sources of risk and return


# Orthogonal sources of risk and return












I am sorry for my incompetence. I am new in Quantitive Finance, so I read an article about the relationship between Alpha and Portfolio Risk and I can not understand what is the meaning behind the orthogonality in Finance. For example, I met these sentences: "Alpha is the search of sources of risk and return that are ideally orthogonal from the manager is using already."Maybe here "orthogonal" means different? And: "Alpha must be orthogonal to widely-known factors and to other alphas in portfolio". What does it mean?

Thanks a lot!

## Answer by vonjd (score 1)

https://quant.stackexchange.com/a/30955

Although this question is not a good fit for this forum (too basic) I answer it anyway:

It means that both are statistically independent. So intuitively when one income stream goes up the other either goes up too, or goes down or stays the same - completely independently.

Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.