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REPLICA: PR 149 for testing #153

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REPLICA: PR 149 for testing #153

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6 changes: 2 additions & 4 deletions lectures/arellano.md
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Original file line number Diff line number Diff line change
Expand Up @@ -421,8 +421,7 @@ def compute_q(v_c, v_d, q, params, arrays):
for B_idx in range(len(B_grid)):
for y_idx in range(len(y_grid)):
# Compute default probability and corresponding bond price
default_states = 1.0 * (v_c[B_idx, :] < v_d)
delta = np.dot(default_states, P[y_idx, :])
delta = P[y_idx, v_c[B_idx, :] < v_d].sum()
q[B_idx, y_idx] = (1 - delta ) / (1 + r)
```

Expand Down Expand Up @@ -769,8 +768,7 @@ zz = np.empty_like(v_c)

for B_idx in range(B_grid_size):
for y_idx in range(y_grid_size):
default_states = 1.0 * (v_c[B_idx, :] < v_d)
zz[B_idx, y_idx] = np.dot(default_states, P[y_idx, :])
zz[B_idx, y_idx] = P[y_idx, v_c[B_idx, :] < v_d].sum()

# Create figure
fig, ax = plt.subplots(figsize=(10, 6.5))
Expand Down
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