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Cluster Risk Parity

January 3, 2013

One of the concepts that I have developed with Michael Kapler at Systematic Investorhttp://systematicinvestor.wordpress.com/ is a  method of passive portfolio allocation (omitting expected or historical returns) that captures the true spirit of diversification. It is a more elegant but also more complex than our heuristic algorithm: Minimum Correlation. This new method is called “Cluster Risk Parity(CRP) and combines the use of cluster algorithms with risk parity and equal risk contribution.  The core of this method is ideal for indexation:  isolate groups of assets (or stocks) and then efficiently allocate both within and across groups. The purpose is to avoid the need for artificial or manual grouping while simultaneously adding a layer of risk management. By clustering, it is possible to dynamically maximize the diversification benefits without having as much sensitivity to the errors in the correlation matrix. Furthermore, this promotes the use of all of the possible assets in the universe which is a desirable way to distribute risk and minimize tracking error. By using risk parity, we can efficiently normalize risk both within and across groups:  in CRP we are making nearly equivalent or exactly equal  risk bets across the portfolio. The combination is perhaps the most robust method of passive portfolio allocation, and it also produces the best risk-adjusted returns without relying as much  on the low-volatility factor or bond/fixed income performance.

More to follow………….

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15 Comments leave one →
  1. Pete permalink
    January 3, 2013 4:06 pm

    I think this is a beautiful idea. Do you give us R code (or excel) as for MCA? At least for me, an example is the best way to really understand.

    • david varadi permalink*
      January 3, 2013 9:12 pm

      hi Pete, thank you. Michael (systematic investor) will probably provide some R code when we show some tests of the method.
      best
      david

  2. Dr. Larry Panos permalink
    January 8, 2013 1:24 pm

    David I can not find a link to download the original whitepaper. Is it available for the public to read?

    Thanks,

    Larry P.

    • david varadi permalink*
      January 8, 2013 11:32 pm

      hi Larry, hope you are well. long time—we are releasing it at some point soon for the public to read. i will post on the blog.
      best
      david

  3. February 22, 2013 2:29 pm

    This is very interesting!

    Just a quick question: “in CRP we are making nearly equivalent or exactly equal risk bets across the portfolio”. So how is this “equal risk” bet quantified? Is it also using volatility?

Trackbacks

  1. Cluster Risk Parity– A Visual Representation « CSSA
  2. Cluster Risk Parity (CRP) versus Risk Parity (RP) and Equal Risk Contribution (ERC) « CSSA
  3. ETF Prophet | Alternative Approaches to Risk Parity
  4. An Elegant Measure of Diversification: The Cluster Gini Score (CGS) « CSSA
  5. A Visual of Current Major Market Clusters « CSSA
  6. ETF Prophet | A Visual of Current Major Clusters
  7. A Backtest Using Dynamic Clustering versus Conventional Risk Parity Methods « CSSA
  8. ETF Prophet | A Backtest Using Dynamic Clustering
  9. Static versus Dynamic Clustering on Multiple Asset Classes « CSSA
  10. Robust Risk Parity [ Dynamic Asset Allocation for Practitioners Part 5 ] | GestaltUGestaltU

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