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Applying Entropy Pooling to CVaR Portfolio Views

Article Quant Q&A · Author: Paypay

Summary

The document asks how to use Attilio Meucci’s entropy-pooling method to build a portfolio of five stocks when the investor has a view about conditional value at risk. Its answer points to Meucci’s paper, “Fully Flexible Views: Theory & Practice,” and to code examples accompanying that work. It identifies the Butterfly Trading example as the one addressing a CVaR scenario.

The exchange does not explain the method’s calculations, show how to translate a CVaR view into constraints, or give portfolio weights or empirical results. It is therefore a pointer to further material rather than a worked portfolio-construction guide. Readers will need to consult the cited paper and implementation to learn how entropy pooling updates scenario probabilities and how those probabilities can inform portfolio decisions.

Key ideas

  • The question concerns using entropy pooling to construct a stock portfolio subject to a CVaR view.
  • The answer directs readers to Meucci’s paper on flexible views and its accompanying examples.
  • The Butterfly Trading example is identified as the example involving CVaR.
  • No calculation, portfolio weights, or performance evidence is provided in the exchange.

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Full text
# How can I use Entropy-pooling of Atillio Meucci to constuct a portfolio?


# How can I use Entropy-pooling of Atillio Meucci to constuct a portfolio?












I am trying to get my hands on Entropy Pooling which was introduced by Meucci in this paper.

As an example, assume I want to construct a portfolio with five stocks and I have my view on CVaR.

How can I use Entropy-Pooling method to manage my portfolio?

## Answer by Ram Ahluwalia (score 7)

https://quant.stackexchange.com/a/3723

Meucci covers this example precisely in his paper "Fully Flexible Views: Theory & Practice". You can find his code here for three examples related to the paper. The Butterfly Trading example covers the CVAR scenario.

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.