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remove output from other uses of @interact
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lectures/black_litterman.md

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@@ -617,6 +617,7 @@ $\bar d_2$ (or $\lambda$ ), we can trace out the whole curve
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as the figure below illustrates.
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```{code-cell} python3
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:tags: ["remove-output"]
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np.random.seed(1987102)
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N = 2 # Number of assets
@@ -702,6 +703,7 @@ following figure, on which the curve connecting $\hat \mu$
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and $\mu_{BL}$ are bending
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```{code-cell} python3
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:tags: ["remove-output"]
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λ_grid = np.linspace(.001, 20000, 1000)
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curve = np.asarray([black_litterman(λ, μ_m, μ_est, Σ_est,
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τ * np.eye(N)).flatten() for λ in λ_grid])

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