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-rw-r--r--python/analytics/option.py2
-rw-r--r--python/analytics/scenarios.py7
2 files changed, 4 insertions, 5 deletions
diff --git a/python/analytics/option.py b/python/analytics/option.py
index 34f1b7a0..a714ae17 100644
--- a/python/analytics/option.py
+++ b/python/analytics/option.py
@@ -352,7 +352,7 @@ class BlackSwaption(ForwardIndex):
actual_params = [p for p in params if hasattr(self, p)]
for ss in spread_shock:
self.index.spread = orig_spread * (1 + ss)
- curr_vol = vol_surface.ev(self.T, self.moneyness)
+ curr_vol = vol_surface.ev(self.T, math.log(self.moneyness))
for vs in vol_shock:
self.sigma = curr_vol * (1 + vs)
r.append([getattr(self, p) for p in actual_params])
diff --git a/python/analytics/scenarios.py b/python/analytics/scenarios.py
index 9996d405..1ebf9371 100644
--- a/python/analytics/scenarios.py
+++ b/python/analytics/scenarios.py
@@ -1,3 +1,4 @@
+import math
import pandas as pd
from copy import deepcopy
import numpy as np
@@ -33,13 +34,11 @@ def run_swaption_scenarios(swaption, date_range, spread_shock, vol_shock,
if vol_time_roll: T = swaption.T
for s in spreads:
swaption.index.spread = s
- curr_vol = max(0, float(vol_surface(T, swaption.moneyness)))
- if date.date() > swaption.exercise_date: curr_vol = 0
+ curr_vol = float(vol_surface(T, math.log(swaption.moneyness)))
for vs in vol_shock:
swaption.sigma = curr_vol * (1 + vs)
- r.append([date, s, round(vs,2)] + [getattr(swaption, p) for p in params])
+ r.append([date, s, round(vs, 2)] + [getattr(swaption, p) for p in params])
df = pd.DataFrame.from_records(r, columns=['date', 'spread', 'vol_shock'] + params)
- df.loc[df.date > pd.to_datetime(swaption.exercise_date), 'delta'] = 0
return df.set_index(['date', 'spread', 'vol_shock'])