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Trading Correlation

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Abstract

The initial coverage of covariance and correlation in Chap. 6 was designed to help readers successfully navigate the option materials that followed. However, the trading of covariance and correlation warrants a separate topic in itself.

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Notes

  1. 1.

    Unless all of the assets are perfectly positively correlated, which is unlikely.

  2. 2.

    (5000 shares × <Footnote ID=”Fn2”><Para ID=”Par42”>(5000 shares × $0.22) + (5000 × $0.18).</Para></Footnote>.22) + (5000 × <Footnote ID=”Fn2”><Para ID=”Par42”>(5000 shares × $0.22) + (5000 × $0.18).</Para></Footnote>.18).

  3. 3.

    SQRT (0.36) × 26 % = 15.6 %.

  4. 4.

    Crossed vega is the amount of vega traded on both single stock and indexes. So $10 m of crossed vega at a portfolio level means that $10 m of vega on the single stocks is matched with $10 m vega on the index (Risk 2011).

  5. 5.

    The results are not strictly speaking the exactly same as the average has been rounded to two decimal places.

Bibliography

  • Kolanovic, M. (2010) Why we have a correlation bubble J.P. Morgan research

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  • Risk Magazine (2011) Dispersion tactics Structured products, January

    Google Scholar 

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Cite this chapter

Schofield, N.C. (2017). Trading Correlation. In: Equity Derivatives. Palgrave Macmillan, London. https://doi.org/10.1057/978-0-230-39107-9_15

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  • DOI: https://doi.org/10.1057/978-0-230-39107-9_15

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  • Publisher Name: Palgrave Macmillan, London

  • Print ISBN: 978-0-230-39106-2

  • Online ISBN: 978-0-230-39107-9

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