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Quantitative Finance · Glossaire

Qu'est-ce que « Implied correlation » ?

Definition 17.5 Derivatives and Volatility · Chapitre 17 — Multi-Asset Options

The implied correlation of an index with weights wiw_i is the single correlation ρˉ\bar\rho that makes the members’ implied volatilities σi\sigma_i consistent with the index’s implied volatility σI\sigma_I:

ρˉ=σI2−∑iwi2σi2(∑iwiσi)2−∑iwi2σi2.\bar\rho=\frac{\sigma_I^2-\sum_iw_i^2\sigma_i^2}{\bigl(\sum_iw_i\sigma_i\bigr)^2-\sum_iw_i^2\sigma_i^2}.

Exemples

Example 17.7 (A synthetic 20-stock index)

Take an index of twenty equally weighted stocks with flat smiles and volatilities spaced evenly from 22% to 36%, and let its own one-year smile be chapter 9’s: 21.9% at 90, 19.2% at 100, 17.0% at 110. The implied correlation is 0.549 at 90, 0.408 at 100 and 0.308 at 110 (Figure 17.2, left). Priced with a constant correlation of 0.408, the members produce an index smile that is flat, 19.3% at all three strikes: constant correlation cannot produce an index skew out of flat member smiles. In variance-swap terms, using the index’s strip volatility of 22.1%, the implied correlation is 0.559.

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