# Quantlib - Duration of a Floating Rate Bond with Spread

I've used Luigi Ballabio's workaround to calculate the duration/modified duration of a floating rate bond (which you can find here: https://www.youtube.com/watch?v=r_1wSd0hnN4). However, if I add a spread (Euribor6M + 172bps in this example) the calculation doesn't hold anymore. The duration calculation per se can be done as a difference between the calculation date and the time to the next reset date. But how can we take into account the spreads? I'm attaching a minimal working example (coupons are paid semi-annually):

import QuantLib as ql

face_amount = 100.0

todays_date = ql.Date(5,2,2020)
ql.Settings.instance().evaluationDate= todays_date

issue_date = ql.Date(27,3,2015)
maturity_date = ql.Date(27, 3, 2022)
settlement_days = 3
calendar = ql.TARGET()

fixing_days = 3
rate = 0

flat_forward = ql.FlatForward(settle_date,
rate,
Actual360(),
Compounded,
frequency_enum)

index = ql.Euribor(ql.Period(6, ql.Months), index_term_structure)

schedule = ql.Schedule(issue_date,
maturity_date, ql.Period(ql.Semiannual),
calendar,
ql.DateGeneration.Backward, False)

floating_bond = ql.FloatingRateBond(settlement_days,
face_amount,
schedule,
index,
Actual360(),
fixing_days,

floating_bond.setPricingEngine(ql.DiscountingBondEngine(discounting_term_structure))

print(floating_bond.NPV(), floating_bond.cleanPrice(), floating_bond.dirtyPrice())

next_cashflow_date = [c.date() for c in floating_bond.cashflows() if c.date()>todays_date][0]

duration = (next_cashflow_date - todays_date)/360
print(duration)


Which yields:

104.15359444444445 103.6560611111111 104.15359444444444
0.14166666666666666


Then, I calculate the duration using QuantLib generic function:

ytm = floating_bond.bondYield(ql.Actual360(),ql.Compounded,ql.Annual)
ytm_handler = ql.InterestRate(ytm, ql.Actual360(),ql.Compounded,ql.Annual)

ql.BondFunctions.duration(floating_bond,ytm_handler,ql.Duration.Simple)


Results in:

2.1171292975546914


Can this last figure be interpreted as Spread Duration?

Thank you very much in advance!