Financial Risk Manager Part 1

Financial Risk Manager Part 1

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The following sample autocorrelation estimates are obtained using 300 data points:

Lag123
Coefficient0.25-0.1-0.05

Compute the value of the Ljung-Box Q statistic.

TTanishq



Explanation:

The Ljung-Box Q statistic formula is:

[Q(m) = n \sum_{j=1}^{h} \left( \frac{n + 2}{n - j} \right) \rho_j^2 = n(n + 2) \sum_{j=1}^{h} \left( \frac{\rho_j^2}{n - j} \right)]

In this case, time lag ( m = 3 ).

Thus,

[Q(3) = 300(302) \left[ \frac{0.25^2}{299} + \frac{(-0.1)^2}{298} + \frac{(-0.05)^2}{297} \right] = 22.74]

Step-by-step calculation:

  • n = 300 data points
  • ρ₁ = 0.25, ρ₂ = -0.1, ρ₃ = -0.05
  • Q(3) = 300 Γ— 302 Γ— [(0.0625/299) + (0.01/298) + (0.0025/297)]
  • Q(3) = 90,600 Γ— [0.000209 + 0.0000336 + 0.00000842]
  • Q(3) = 90,600 Γ— 0.00025102 = 22.74

The Ljung-Box Q statistic tests whether any of a group of autocorrelations of a time series are different from zero, and 22.74 is the correct calculated value.

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