I would like to use QuantLib to price a portfolio of liabilities, which are modeled to be deterministic future cash-flows. I am now modelling them as a strip of FixedRateBonds with zero coupons, which seems like a very inelegant solution.
Problem:
Question 1: Is there a way to create an 'Instrument' that is just a 'SimpleCashFlow', 'Redemption' etc. and price it on a discount curve?
Question 2: Is it possible to construct a 'CashFlows' object or Instrument from multiple SimpleCashFlow's and price it on a curve?
Many thanks in advance
Code Example:
See code below for an example of what I am trying to do.
from QuantLib import *
# set params
calc_date = Date(30, 3, 2017)
risk_free_rate = 0.01
discount_curve = YieldTermStructureHandle(
FlatForward(calc_date, risk_free_rate, ActualActual()))
bond_engine = DiscountingBondEngine(discount_curve)
# characteristics of the cash-flow that I am trying to NPV
paymentdate = Date(30, 3, 2018)
paymentamount = 1000
# this works: pricing a fixed rate bond with no coupons
schedule = Schedule(paymentdate-1, paymentdate, Period(Annual), TARGET(),
Unadjusted, Unadjusted, DateGeneration.Backward, False)
fixed_rate_bond = FixedRateBond(0, paymentamount, schedule, [0.0],ActualActual())
bond_engine = DiscountingBondEngine(discount_curve)
fixed_rate_bond.setPricingEngine(bond_engine)
print(fixed_rate_bond.NPV())
# create a simple cashflow
simple_cash_flow = SimpleCashFlow(paymentamount, paymentdate)
# Q1: how to create instrument, set pricing engine and price a SimpleCashFlow?
#wrongcode:# simple_cash_flow.setPricingEngine(bond_engine)
#wrongcode:# print(simple_cash_flow.NPV())
# Q2: can I stick multiple cashflows into a single instrument, e.g.:
# how do I construct and price a CashFlows object from multiple 'SimpleCashFlow's?
simple_cash_flow2 = SimpleCashFlow(paymentamount, Date(30, 3, 2019))
#wrongcode:# cashflows_multiple = CashFlows([simple_cash_flow, simple_cash_flow2])
#wrongcode:# cashflows_multiple.setPricingEngine(bond_engine)
#wrongcode:# print(cashflows_multiple.NPV())