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-rw-r--r--python/tests/test_index.py46
-rw-r--r--python/tests/test_swaption.py50
2 files changed, 63 insertions, 33 deletions
diff --git a/python/tests/test_index.py b/python/tests/test_index.py
new file mode 100644
index 00000000..eaea83d6
--- /dev/null
+++ b/python/tests/test_index.py
@@ -0,0 +1,46 @@
+import unittest
+import datetime
+import numpy as np
+
+from pyisda.cdsone import upfront_charge
+from pyisda.utils import build_yc
+from pyisda.flat_hazard import strike_vec
+
+from analytics import Index
+from analytics.index import g
+
+class TestStrike(unittest.TestCase):
+ index = Index.from_name("ig", 26, "5yr",
+ trade_date = datetime.date(2016, 7, 1))
+ index.notional = 50e6
+ index.spread = 75
+ exercise_date = datetime.date(2016, 8, 19)
+
+ def test_strike(self):
+ """strike price equals clean_pv using expected forward yield curve"""
+ strike = g(self.index, self.index.spread, self.exercise_date, False) * self.index.notional
+ old_yc = self.index._yc
+ self.index.trade_date = self.exercise_date
+ self.index._yc = old_yc.expected_forward_curve(self.exercise_date)
+ self.index.spread = 75
+ self.assertAlmostEqual(self.index.clean_pv, strike)
+
+ def test_strike_vec(self):
+ self.index.trade_date = datetime.date(2016, 8, 19)
+ a, b = strike_vec(np.array([70, 75])*1e-4, self.index._yc, self.index.trade_date,
+ self.index._value_date, self.index.start_date, self.index.end_date,
+ self.index.recovery)
+ r = (a - self.index.fixed_rate*1e-4 * b)
+ self.index.notional = 1
+ self.index.spread = 70
+ self.assertAlmostEqual(self.index.clean_pv, r[0])
+ self.index.spread = 75
+ self.assertAlmostEqual(self.index.clean_pv, r[1])
+
+ def test_forward_pv(self):
+ """default adjusted forward price for trade_date equals clean pv """
+ self.assertAlmostEqual(self.index.forward_pv(self.index.trade_date),
+ self.index.clean_pv)
+
+if __name__=="__main__":
+ unittest.main()
diff --git a/python/tests/test_swaption.py b/python/tests/test_swaption.py
index 10c07249..46ba83b0 100644
--- a/python/tests/test_swaption.py
+++ b/python/tests/test_swaption.py
@@ -1,43 +1,27 @@
import unittest
-from pyisda.cdsone import upfront_charge
-from pyisda.utils import build_yc
-from pyisda.flat_hazard import strike_vec
import datetime
-import numpy as np
import sys
sys.path.append('..')
-from analytics import Index
-from analytics.option import g
+from analytics.index import g
+from analytics import Index, Swaption
-class TestStrike(unittest.TestCase):
- index = Index.from_name("ig", 26, "5yr",
- trade_date = datetime.date(2016, 7, 1))
- index.notional = 50e6
- index.spread = 75
- exercise_date = datetime.date(2016, 8, 19)
+class TestPutCallParity(unittest.TestCase):
+ index = Index.from_name("ig", 27, "5yr",
+ trade_date = datetime.date(2016, 10, 25))
+ index.spread = 74
+ exercise_date = datetime.date(2016, 12, 21)
+ strike = 82.5
- def test_strike(self):
- """ check if strike price is the same as computing the pv
- with the expected forward yield curve."""
- strike = g(self.index, self.index.spread, self.exercise_date, False) * self.index.notional
- old_yc = self.index._yc
- self.index.trade_date = self.exercise_date
- self.index._yc = old_yc.expected_forward_curve(self.exercise_date)
- self.index.spread = 75
- self.assertAlmostEqual(self.index.clean_pv, strike)
-
- def test_strike_vec(self):
- self.index.trade_date = datetime.date(2016, 8, 19)
- a, b = strike_vec(np.array([70, 75])*1e-4, self.index._yc, self.index.trade_date,
- self.index._value_date, self.index.start_date, self.index.end_date,
- self.index.recovery)
- r = (a - self.index.fixed_rate*1e-4 * b)
- self.index.notional = 1
- self.index.spread = 70
- self.assertAlmostEqual(self.index.clean_pv, r[0])
- self.index.spread = 75
- self.assertAlmostEqual(self.index.clean_pv, r[1])
+ def test_parity(self):
+ payer = Swaption(self.index, self.exercise_date, self.strike)
+ receiver = Swaption(self.index, self.exercise_date, self.strike, "receiver")
+ payer.sigma = 0.416
+ receiver.sigma = 0.416
+ df = self.index._yc.discount_factor(payer.exercise_date_settle)
+ self.assertAlmostEqual(payer.pv - receiver.pv,
+ df * (self.index.forward_pv(self.exercise_date)/self.index.notional -
+ g(self.index, self.strike, self.exercise_date)))
if __name__=="__main__":
unittest.main()