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EMBAF

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Note that ii = 1 and ji = ij. Positive definite: for any vector y we have ... correlation does not mean dependence (copula). Zvi Wiener. FE-Wilmott-IntroQF Ch11 ... – PowerPoint PPT presentation

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Title: EMBAF


1
Financial Engineering
  • Zvi Wiener
  • mswiener_at_mscc.huji.ac.il
  • 02-588-3049

2
Multi-Asset Options
  • Following
  • Paul Wilmott, Introduces Quantitative Finance
  • Chapter 11

3
Multidimensional Lognormal Random Walk
4
Correlation Matrix
  • Note that ?ii 1 and ?ji ?ij.
  • Positive definite for any vector y we have
  • yT ? y ? 0.

5
Measuring Correlation
  • Cov(X,Y) E( (E(X)-X) (E(Y)-Y) )
  • Let Ra(t), Rb(t) be returns on assets a and b on
    day t. Then

Problems time delay in observations,
missing data, time delay in response
(CPI), correlation does not mean dependence
(copula).
6
Correlation
  • Can be a bad measure of dependence!
  • Consider X N(0, 1) and X2.
  • Are they dependent?
  • What is the correlation?
  • Cointegartion two time series are cointegrated
    if their linear combination has constant mean and
    standard deviation.
  • Bonds of emerging markets

7
Options on Many Underlyings
  • Exchanging one asset for another
  • Max(QaSa-QbSb, 0 )
  • Note that
  • Max(x, y) y Max(x-y, 0)
  • Min(x, y) x Max(x-y, 0)
  • Similarity reduction Application of Numeraire

8
Options on Many Underlyings
  • Analytical solution
  • Reasonable approximation
  • Numerical Approach
  • trees
  • Monte Carlo (bad for American style)
  • finite difference

9
Home Assignment
  • Read chapter 11 in Wilmott.
  • Follow Excel files coming with the book.
  • Read and analyze (do not price) the structured
    notes of LEUMI and HAPOALIM submit to Oz before
    the end of February.
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