本文整理汇总了Python中quantlib.time.api.TARGET.adjust方法的典型用法代码示例。如果您正苦于以下问题:Python TARGET.adjust方法的具体用法?Python TARGET.adjust怎么用?Python TARGET.adjust使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类quantlib.time.api.TARGET
的用法示例。
在下文中一共展示了TARGET.adjust方法的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_create_swap_index
# 需要导入模块: from quantlib.time.api import TARGET [as 别名]
# 或者: from quantlib.time.api.TARGET import adjust [as 别名]
def test_create_swap_index(self):
settings = Settings.instance()
# Market information
calendar = TARGET()
# must be a business day
eval_date = calendar.adjust(today())
settings.evaluation_date = eval_date
settlement_days = 2
settlement_date = calendar.advance(eval_date, settlement_days, Days)
# must be a business day
settlement_date = calendar.adjust(settlement_date)
term_structure = YieldTermStructure(relinkable=True)
term_structure.link_to(FlatForward(settlement_date, 0.05,
Actual365Fixed()))
ibor_index = Libor('USD Libor', Period(6, Months), settlement_days,
USDCurrency(), calendar, Actual360(),
term_structure)
index = SwapIndex(
'family name', Period(3, Months), 10, USDCurrency(), TARGET(),
Period(12, Months), Following, Actual360(), ibor_index)
self.assertIsNotNone(index)
示例2: test_extrapolation
# 需要导入模块: from quantlib.time.api import TARGET [as 别名]
# 或者: from quantlib.time.api.TARGET import adjust [as 别名]
def test_extrapolation(self):
rate_helpers = build_helpers()
settings = Settings()
calendar = TARGET()
# must be a business Days
dtObs = date(2007, 4, 27)
eval_date = calendar.adjust(pydate_to_qldate(dtObs))
settings.evaluation_date = eval_date
settlement_days = 2
settlement_date = calendar.advance(eval_date, settlement_days, Days)
# must be a business day
settlement_date = calendar.adjust(settlement_date)
print('dt Obs: %s\ndt Eval: %s\ndt Settle: %s' %
(dtObs, eval_date, settlement_date))
ts_day_counter = ActualActual(ISDA)
tolerance = 1.0e-2
ts = PiecewiseYieldCurve.from_reference_date(BootstrapTrait.Discount,
Interpolator.LogLinear,
settlement_date,
rate_helpers,
ts_day_counter,
tolerance)
# max_date raises an exception without extrapolaiton...
self.assertFalse(ts.extrapolation)
with self.assertRaises(RuntimeError) as ctx:
ts.discount(ts.max_date + 1)
self.assertTrue(str(ctx.exception) in (
"time (30.011) is past max curve time (30.0082)",
"1st iteration: failed at 2nd alive instrument"))
示例3: test_zero_curve
# 需要导入模块: from quantlib.time.api import TARGET [as 别名]
# 或者: from quantlib.time.api.TARGET import adjust [as 别名]
def test_zero_curve(self):
rate_helpers = build_helpers()
settings = Settings()
calendar = TARGET()
# must be a business Days
dtObs = date(2007, 4, 27)
eval_date = calendar.adjust(pydate_to_qldate(dtObs))
settings.evaluation_date = eval_date
settlement_days = 2
settlement_date = calendar.advance(eval_date, settlement_days, Days)
# must be a business day
settlement_date = calendar.adjust(settlement_date)
ts_day_counter = ActualActual(ISDA)
tolerance = 1.0e-2
ts = PiecewiseYieldCurve('discount',
'loglinear',
settlement_date,
rate_helpers,
ts_day_counter,
tolerance)
# max_date raises an exception...
ts.extrapolation = True
zr = ts.zero_rate(Date(10, 5, 2027), ts_day_counter, 2)
self.assertAlmostEqual(zr.rate, 0.0539332)
示例4: test_extrapolation
# 需要导入模块: from quantlib.time.api import TARGET [as 别名]
# 或者: from quantlib.time.api.TARGET import adjust [as 别名]
def test_extrapolation(self):
rate_helpers = build_helpers()
settings = Settings()
calendar = TARGET()
# must be a business Days
dtObs = date(2007, 4, 27)
eval_date = calendar.adjust(pydate_to_qldate(dtObs))
settings.evaluation_date = eval_date
settlement_days = 2
settlement_date = calendar.advance(eval_date, settlement_days, Days)
# must be a business day
settlement_date = calendar.adjust(settlement_date)
print('dt Obs: %s\ndt Eval: %s\ndt Settle: %s' %
(dtObs, eval_date, settlement_date))
ts_day_counter = ActualActual(ISDA)
tolerance = 1.0e-2
ts = PiecewiseYieldCurve('discount',
'loglinear',
settlement_date,
rate_helpers,
ts_day_counter,
tolerance)
# max_date raises an exception without extrapolaiton...
self.assertFalse(ts.extrapolation)
with self.assertRaisesRegexp(RuntimeError,
"1st iteration: failed at 2nd alive instrument"):
dtMax = ts.max_date
示例5: test_create_swap_index
# 需要导入模块: from quantlib.time.api import TARGET [as 别名]
# 或者: from quantlib.time.api.TARGET import adjust [as 别名]
def test_create_swap_index(self):
settings = Settings.instance()
# Market information
calendar = TARGET()
# must be a business day
eval_date = calendar.adjust(today())
settings.evaluation_date = eval_date
settlement_days = 2
settlement_date = calendar.advance(eval_date, settlement_days, Days)
# must be a business day
settlement_date = calendar.adjust(settlement_date);
ibor_index = Libor('USD Libor', Period(6, Months), settlement_days,
USDCurrency(), calendar, Actual360())
index = SwapIndex(
'family name', Period(3, Months), 10, USDCurrency(), TARGET(),
Period(12, Months), Following, Actual360(), ibor_index)
self.assertIsNotNone(index)
示例6: test_create_libor_index
# 需要导入模块: from quantlib.time.api import TARGET [as 别名]
# 或者: from quantlib.time.api.TARGET import adjust [as 别名]
def test_create_libor_index(self):
settings = Settings.instance()
# Market information
calendar = TARGET()
# must be a business day
eval_date = calendar.adjust(today())
settings.evaluation_date = eval_date
settlement_days = 2
settlement_date = calendar.advance(eval_date, settlement_days, Days)
# must be a business day
settlement_date = calendar.adjust(settlement_date)
term_structure = YieldTermStructure(relinkable=True)
term_structure.link_to(FlatForward(settlement_date, 0.05,
Actual365Fixed()))
index = Libor('USD Libor', Period(6, Months), settlement_days,
USDCurrency(), calendar, Actual360(),
term_structure)
t = index.tenor
self.assertEqual(t.length, 6)
self.assertEqual(t.units, 2)
self.assertEqual('USD Libor6M Actual/360', index.name)
示例7: test_creation
# 需要导入模块: from quantlib.time.api import TARGET [as 别名]
# 或者: from quantlib.time.api.TARGET import adjust [as 别名]
def test_creation(self):
settings = Settings()
# Market information
calendar = TARGET()
# must be a business day
settings.evaluation_date = calendar.adjust(today())
settlement_date = Date(18, September, 2008)
# must be a business day
settlement_date = calendar.adjust(settlement_date);
quotes = [SimpleQuote(0.0096), SimpleQuote(0.0145), SimpleQuote(0.0194)]
tenors = [3, 6, 12]
rate_helpers = []
calendar = TARGET()
deposit_day_counter = Actual365Fixed()
convention = ModifiedFollowing
end_of_month = True
for quote, month in zip(quotes, tenors):
tenor = Period(month, Months)
fixing_days = 3
helper = DepositRateHelper(
quote, tenor, fixing_days, calendar, convention, end_of_month,
deposit_day_counter
)
rate_helpers.append(helper)
ts_day_counter = ActualActual(ISDA)
tolerance = 1.0e-15
ts = PiecewiseYieldCurve.from_reference_date(
BootstrapTrait.Discount, Interpolator.LogLinear, settlement_date, rate_helpers,
ts_day_counter, tolerance
)
self.assertIsNotNone(ts)
self.assertEqual( Date(18, September, 2008), ts.reference_date)
# this is not a real test ...
self.assertAlmostEqual(0.9975, ts.discount(Date(21, 12, 2008)), 4)
self.assertAlmostEqual(0.9944, ts.discount(Date(21, 4, 2009)), 4)
self.assertAlmostEqual(0.9904, ts.discount(Date(21, 9, 2009)), 4)
示例8: test_creation
# 需要导入模块: from quantlib.time.api import TARGET [as 别名]
# 或者: from quantlib.time.api.TARGET import adjust [as 别名]
def test_creation(self):
settings = Settings()
# Market information
calendar = TARGET()
# must be a business day
settings.evaluation_date = calendar.adjust(today())
settlement_date = Date(18, September, 2008)
# must be a business day
settlement_date = calendar.adjust(settlement_date);
quotes = [0.0096, 0.0145, 0.0194]
tenors = [3, 6, 12]
rate_helpers = []
calendar = TARGET()
deposit_day_counter = Actual365Fixed()
convention = ModifiedFollowing
end_of_month = True
for quote, month in zip(quotes, tenors):
tenor = Period(month, Months)
fixing_days = 3
helper = DepositRateHelper(
quote, tenor, fixing_days, calendar, convention, end_of_month,
deposit_day_counter
)
rate_helpers.append(helper)
ts_day_counter = ActualActual(ISDA)
tolerance = 1.0e-15
ts = term_structure_factory(
'discount', 'loglinear', settlement_date, rate_helpers,
ts_day_counter, tolerance
)
self.assertIsNotNone(ts)
self.assertEquals( Date(18, September, 2008), ts.reference_date)
# this is not a real test ...
self.assertAlmostEquals(0.9975, ts.discount(Date(21, 12, 2008)), 4)
self.assertAlmostEquals(0.9944, ts.discount(Date(21, 4, 2009)), 4)
self.assertAlmostEquals(0.9904, ts.discount(Date(21, 9, 2009)), 4)
示例9: test_all_types_of_piecewise_curves
# 需要导入模块: from quantlib.time.api import TARGET [as 别名]
# 或者: from quantlib.time.api.TARGET import adjust [as 别名]
def test_all_types_of_piecewise_curves(self):
settings = Settings()
# Market information
calendar = TARGET()
todays_date = Date(12, September, 2008)
# must be a business day
settings.evaluation_date = calendar.adjust(todays_date)
settlement_date = Date(18, September, 2008)
# must be a business day
settlement_date = calendar.adjust(settlement_date);
quotes = [SimpleQuote(0.0096), SimpleQuote(0.0145), SimpleQuote(0.0194)]
tenors = [3, 6, 12]
rate_helpers = []
deposit_day_counter = Actual365Fixed()
convention = ModifiedFollowing
end_of_month = True
for quote, month in zip(quotes, tenors):
tenor = Period(month, Months)
fixing_days = 3
helper = DepositRateHelper(
quote, tenor, fixing_days, calendar, convention, end_of_month,
deposit_day_counter
)
rate_helpers.append(helper)
tolerance = 1.0e-15
for trait in VALID_TRAITS:
for interpolation in VALID_INTERPOLATORS:
ts = PiecewiseYieldCurve(
trait, interpolation, settlement_date, rate_helpers,
deposit_day_counter, tolerance
)
self.assertIsNotNone(ts)
self.assertEqual( Date(18, September, 2008), ts.reference_date)
示例10: FlatHazardRateTestCase
# 需要导入模块: from quantlib.time.api import TARGET [as 别名]
# 或者: from quantlib.time.api.TARGET import adjust [as 别名]
class FlatHazardRateTestCase(unittest.TestCase):
def setUp(self):
self.calendar = TARGET()
todays_date = Date(15, May, 2007)
self.todays_date = self.calendar.adjust(todays_date)
self.d = self.todays_date + Period(3, Years)
def test_create_flat_hazard(self):
Settings.instance().evaluation_date = self.todays_date
flat_curve = FlatHazardRate(2, self.calendar, 0.05, Actual365Fixed())
flat_curve_from_reference_date = FlatHazardRate.from_reference_date(
self.calendar.advance(self.todays_date, 2, Days), 0.05, Actual365Fixed())
self.assertIsNotNone(flat_curve)
self.assertIsNotNone(flat_curve_from_reference_date)
self.assertEqual(flat_curve.time_from_reference(self.d),
flat_curve_from_reference_date.time_from_reference(self.d))
self.assertAlmostEqual(flat_curve.hazard_rate(self.d), 0.05)
self.assertAlmostEqual(flat_curve.survival_probability(self.d),
math.exp(-0.05*flat_curve.time_from_reference(self.d)))
def test_flat_hazard_with_quote(self):
Settings.instance().evaluation_date = self.todays_date
hazard_rate = SimpleQuote()
flat_curve = FlatHazardRate(2, self.calendar, hazard_rate, Actual365Fixed())
for h in [0.01, 0.02, 0.03]:
hazard_rate.value = h
self.assertAlmostEqual(flat_curve.survival_probability(self.d),
math.exp(-h * flat_curve.time_from_reference(self.d)))
示例11: create_helper
# 需要导入模块: from quantlib.time.api import TARGET [as 别名]
# 或者: from quantlib.time.api.TARGET import adjust [as 别名]
def create_helper():
calendar = TARGET()
todays_date = Date(15, May, 2007)
todays_date = calendar.adjust(todays_date)
Settings.instance().evaluation_date = todays_date
flat_rate = SimpleQuote(0.01)
ts_curve = FlatForward(todays_date, flat_rate, Actual365Fixed())
recovery_rate = 0.5
quoted_spreads = 0.0150
tenor = Period(3, Months)
helper = SpreadCdsHelper(
quoted_spreads,
tenor,
0,
calendar,
Quarterly,
Following,
TwentiethIMM,
Actual365Fixed(),
recovery_rate,
ts_curve,
)
return todays_date, helper
示例12: test_create_libor_index
# 需要导入模块: from quantlib.time.api import TARGET [as 别名]
# 或者: from quantlib.time.api.TARGET import adjust [as 别名]
def test_create_libor_index(self):
settings = Settings.instance()
# Market information
calendar = TARGET()
# must be a business day
eval_date = calendar.adjust(today())
settings.evaluation_date = eval_date
settlement_days = 2
settlement_date = calendar.advance(eval_date, settlement_days, Days)
# must be a business day
settlement_date = calendar.adjust(settlement_date)
index = Libor("USD Libor", Period(6, Months), settlement_days, USDCurrency(), calendar, Actual360())
self.assertEquals("USD Libor6M Actual/360", index.name)
示例13: example02
# 需要导入模块: from quantlib.time.api import TARGET [as 别名]
# 或者: from quantlib.time.api.TARGET import adjust [as 别名]
def example02():
print("example 2:\n")
todays_date = Date(25, 9, 2014)
Settings.instance().evaluation_date = todays_date
calendar = TARGET()
term_date = calendar.adjust(todays_date + Period(2, Years), Following)
cds_schedule = Schedule(todays_date, term_date, Period(Quarterly),
WeekendsOnly(), ModifiedFollowing,
ModifiedFollowing,
date_generation_rule=Rule.CDS)
for date in cds_schedule:
print(date)
print()
todays_date = Date(21, 10, 2014)
Settings.instance().evaluation_date = todays_date
quotes = [0.00006, 0.00045, 0.00081, 0.001840, 0.00256, 0.00337]
tenors = [1, 2, 3, 6, 9, 12]
deps = [DepositRateHelper(q, Period(t, Months), 2, calendar, ModifiedFollowing, False, Actual360())
for q, t in zip(quotes, tenors)]
tenors = [2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 15, 20, 30]
quotes = [0.00223, 0.002760, 0.003530, 0.004520, 0.005720, 0.007050, 0.008420, 0.009720, 0.010900,
0.012870, 0.014970, 0.017, 0.01821]
swaps = [SwapRateHelper.from_tenor(q, Period(t, Years),
calendar, Annual, ModifiedFollowing,
Thirty360(), Euribor6M(), SimpleQuote(0))
for q, t in zip(quotes, tenors)]
helpers = deps + swaps
YC = PiecewiseYieldCurve.from_reference_date(BootstrapTrait.Discount, Interpolator.LogLinear,
todays_date, helpers, Actual365Fixed())
YC.extrapolation = True
print("ISDA rate curve:")
for h in helpers:
print("{0}: {1:.6f}\t{2:.6f}".format(h.latest_date,
YC.zero_rate(h.latest_date, Actual365Fixed(), 2).rate,
YC.discount(h.latest_date)))
defaultTs0 = FlatHazardRate(0, WeekendsOnly(), 0.016739207493630, Actual365Fixed())
cds_schedule = Schedule.from_rule(Date(22, 9, 2014), Date(20, 12, 2019), Period(3, Months),
WeekendsOnly(), Following, Unadjusted, Rule.CDS, False)
nominal = 100000000
trade = CreditDefaultSwap(Side.Buyer, nominal, 0.01, cds_schedule, Following,
Actual360(), True, True, Date(22, 10, 2014), Actual360(True), True)
engine = IsdaCdsEngine(defaultTs0, 0.4, YC, False)
trade.set_pricing_engine(engine)
print("reference trade NPV = {0}\n".format(trade.npv))
示例14: test_swap_QL
# 需要导入模块: from quantlib.time.api import TARGET [as 别名]
# 或者: from quantlib.time.api.TARGET import adjust [as 别名]
def test_swap_QL(self):
"""
Test that a swap with fixed coupon = fair rate has an NPV=0
Create from QL objects
"""
nominal = 100.0
fixedConvention = Unadjusted
floatingConvention = ModifiedFollowing
fixedFrequency = Annual
floatingFrequency = Semiannual
fixedDayCount = Thirty360()
floatDayCount = Thirty360()
calendar = TARGET()
settlement_days = 2
eval_date = Date(2, January, 2014)
settings = Settings()
settings.evaluation_date = eval_date
settlement_date = calendar.advance(eval_date, settlement_days, Days)
# must be a business day
settlement_date = calendar.adjust(settlement_date)
termStructure = YieldTermStructure(relinkable=True)
termStructure.link_to(FlatForward(settlement_date, 0.05,
Actual365Fixed()))
index = Libor('USD Libor', Period(6, Months), settlement_days,
USDCurrency(), calendar, Actual360(),
termStructure)
length = 5
fixedRate = .05
floatingSpread = 0.0
maturity = calendar.advance(settlement_date, length, Years,
convention=floatingConvention)
fixedSchedule = Schedule(settlement_date, maturity,
Period(fixedFrequency),
calendar, fixedConvention, fixedConvention,
Rule.Forward, False)
floatSchedule = Schedule(settlement_date, maturity,
Period(floatingFrequency),
calendar, floatingConvention,
floatingConvention,
Rule.Forward, False)
engine = DiscountingSwapEngine(termStructure,
False,
settlement_date, settlement_date)
for swap_type in [Payer, Receiver]:
swap = VanillaSwap(swap_type, nominal, fixedSchedule, fixedRate,
fixedDayCount,
floatSchedule, index, floatingSpread,
floatDayCount, fixedConvention)
swap.set_pricing_engine(engine)
fixed_leg = swap.fixed_leg
floating_leg = swap.floating_leg
f = swap.fair_rate
print('fair rate: %f' % f)
p = swap.net_present_value
print('NPV: %f' % p)
swap = VanillaSwap(swap_type, nominal, fixedSchedule, f,
fixedDayCount,
floatSchedule, index, floatingSpread,
floatDayCount, fixedConvention)
swap.set_pricing_engine(engine)
p = swap.net_present_value
print('NPV: %f' % p)
self.assertAlmostEqual(p, 0)
示例15: example01
# 需要导入模块: from quantlib.time.api import TARGET [as 别名]
# 或者: from quantlib.time.api.TARGET import adjust [as 别名]
def example01():
#*********************
#*** MARKET DATA ***
#*********************
calendar = TARGET()
todays_date = Date(15, May, 2007)
# must be a business day
todays_date = calendar.adjust(todays_date)
Settings.instance().evaluation_date = todays_date
# dummy curve
ts_curve = FlatForward(
reference_date=todays_date, forward=0.01, daycounter=Actual365Fixed()
)
# In Lehmans Brothers "guide to exotic credit derivatives"
# p. 32 there's a simple case, zero flat curve with a flat CDS
# curve with constant market spreads of 150 bp and RR = 50%
# corresponds to a flat 3% hazard rate. The implied 1-year
# survival probability is 97.04% and the 2-years is 94.18%
# market
recovery_rate = 0.5
quoted_spreads = [0.0150, 0.0150, 0.0150, 0.0150 ]
tenors = [Period(i, Months) for i in [3, 6, 12, 24]]
maturities = [
calendar.adjust(todays_date + tenors[i], Following) for i in range(4)
]
instruments = []
for i in range(4):
helper = SpreadCdsHelper(
quoted_spreads[i], tenors[i], 0, calendar, Quarterly,
Following, Rule.TwentiethIMM, Actual365Fixed(), recovery_rate, ts_curve
)
instruments.append(helper)
# Bootstrap hazard rates
hazard_rate_structure = PiecewiseDefaultCurve.from_reference_date(
ProbabilityTrait.HazardRate, Interpolator.BackwardFlat, todays_date, instruments, Actual365Fixed()
)
#vector<pair<Date, Real> > hr_curve_data = hazardRateStructure->nodes();
#cout << "Calibrated hazard rate values: " << endl ;
#for (Size i=0; i<hr_curve_data.size(); i++) {
# cout << "hazard rate on " << hr_curve_data[i].first << " is "
# << hr_curve_data[i].second << endl;
#}
#cout << endl;
target = todays_date + Period(1, Years)
print(target)
print("Some survival probability values: ")
print("1Y survival probability: {:%}".format(
hazard_rate_structure.survival_probability(target)
))
print(" expected: {:%}".format(0.9704))
print("2Y survival probability: {:%}".format(
hazard_rate_structure.survival_probability(todays_date + Period(2, Years))
))
print(" expected: {:%}".format(0.9418))
# reprice instruments
nominal = 1000000.0;
#Handle<DefaultProbabilityTermStructure> probability(hazardRateStructure);
engine = MidPointCdsEngine(hazard_rate_structure, recovery_rate, ts_curve)
cds_schedule = Schedule.from_rule(
todays_date, maturities[0], Period(Quarterly), calendar,
termination_date_convention=Unadjusted,
date_generation_rule=Rule.TwentiethIMM
)
cds_3m = CreditDefaultSwap(
Side.Seller, nominal, quoted_spreads[0], cds_schedule, Following,
Actual365Fixed()
)
cds_schedule = Schedule.from_rule(
todays_date, maturities[1], Period(Quarterly), calendar,
termination_date_convention=Unadjusted,
date_generation_rule=Rule.TwentiethIMM
)
cds_6m = CreditDefaultSwap(
Side.Seller, nominal, quoted_spreads[1], cds_schedule, Following,
Actual365Fixed()
)
cds_schedule = Schedule.from_rule(
todays_date, maturities[2], Period(Quarterly), calendar,
termination_date_convention=Unadjusted,
date_generation_rule=Rule.TwentiethIMM
)
cds_1y = CreditDefaultSwap(
#.........这里部分代码省略.........