Description
Immunization.gms: Immunization models. Consiglio, Nielsen and Zenios. PRACTICAL FINANCIAL OPTIMIZATION: A Library of GAMS Models, Section 4.4 Last modified: Apr 2008.
Category : GAMS FIN library
Mainfile : Immunization.gms includes : BondData.inc SpotRates.inc YieldRates.inc
$TITLE Immunization models
* Immunization.gms: Immunization models.
* Consiglio, Nielsen and Zenios.
* PRACTICAL FINANCIAL OPTIMIZATION: A Library of GAMS Models, Section 4.4
* Last modified: Apr 2008.
SET Time Time periods /2001 * 2011/;
ALIAS (Time, t, t1, t2);
SCALARS
Now Current year
Horizon End of the Horizon;
Now = 2001;
Horizon = CARD(t)-1;
PARAMETER
tau(t) Time in years;
* Note: time starts from 0
tau(t) = ORD(t)-1;
SET
Bonds Bonds universe
/DS-8-06, DS-8-03, DS-7-07,
DS-7-04, DS-6-11, DS-6-09,
DS-6-02, DS-5-05, DS-5-03, DS-4-02 /;
ALIAS(Bonds, i);
PARAMETERS
Coupon(i) Coupons
Maturity(i) Maturities
Liability(t) Stream of liabilities
F(t,i) Cashflows;
* Bond data. Prices, coupons and maturities from the Danish market
$INCLUDE "BondData.inc"
* Copy/transform data. Note division by 100 to get unit data, and
* subtraction of "Now" from Maturity date (so consistent with tau):
Coupon(i) = BondData(i,"Coupon")/100;
Maturity(i) = BondData(i,"Maturity") - Now;
* Calculate the ex-coupon cashflow of Bond i in year t:
F(t,i) = 1$(tau(t) = Maturity(i))
+ coupon(i) $ (tau(t) <= Maturity(i) and tau(t) > 0);
PARAMETER
Liability(t) Liabilities
/2002 = 80000, 2003 = 100000, 2004 = 110000, 2005 = 120000,
2006 = 140000, 2007 = 120000, 2008 = 90000, 2009 = 50000,
2010 = 75000, 2011 = 150000/;
* Read spot rates
PARAMETER r(t)
/
$ONDELIM
$INCLUDE "SpotRates.inc"
$OFFDELIM
/;
* Read yield rates
PARAMETER y(i)
/
$ONDELIM
$INCLUDE "YieldRates.inc"
$OFFDELIM
/;
* The following are the Present value, Fischer-Weil duration (D^FW)
* and Convexity (Q_i), for both the bonds and the liabilities:
* Present value, Fisher & Weil duration, and convexity for
* the bonds.
PARAMETER
PV(i) Present value of assets
Dur(i) Duration of assets
Conv(i) Convexity of assets;
* Present value, Fisher & Weil duration, and convexity for
* the liability.
PARAMETER
PV_Liab Present value of liability
Dur_Liab Duration of liability
Conv_Liab Convexity of liability;
PV(i) = SUM(t, F(t,i) * exp(-r(t) * tau(t)));
Dur(i) = ( 1.0 / PV(i) ) * SUM(t, tau(t) * F(t,i) * exp(-r(t) * tau(t)));
Conv(i) = ( 1.0 / PV(i) ) * SUM(t, sqr(tau(t)) * F(t,i) * exp(-r(t) * tau(t)));
DISPLAY PV, Dur, Conv;
* Calculate the corresponding amounts for Liabilities. Use its PV as its "price".
PV_Liab = SUM(t, Liability(t) * exp(-r(t) * tau(t)));
Dur_Liab = ( 1.0 / PV_Liab ) * SUM(t, tau(t) * Liability(t) * exp(-r(t) * tau(t)));
Conv_Liab = ( 1.0 / PV_Liab ) * SUM(t, sqr(tau(t)) * Liability(t) * exp(-r(t) * tau(t)));
DISPLAY PV_Liab, Dur_Liab, Conv_Liab;
* Build a sequence of increasingly sophisticated immunuzation models.
POSITIVE VARIABLES
x(i) Holdings of bonds (amount of face value);
VARIABLE
z Objective function value;
EQUATIONS
PresentValueMatch Equation matching the present value of asset and liability
DurationMatch Equation matching the duration of asset and liability
ConvexityMatch Equation matching the convexity of asset and liability
ObjDef Objective function definition;
ObjDef .. z =E= SUM(i, Dur(i) * PV(i) * y(i) * x(i)) / (PV_Liab * Dur_Liab);
PresentValueMatch .. SUM(i, PV(i) * x(i)) =E= PV_Liab;
DurationMatch .. SUM(i, Dur(i) * PV(i) * x(i)) =E= PV_Liab * Dur_Liab;
ConvexityMatch .. SUM(i, Conv(i) * PV(i) * x(i)) =G= PV_Liab * Conv_Liab;
MODEL ImmunizationOne 'PFO Model 4.3.1' /ObjDef, PresentValueMatch, DurationMatch/;
SOLVE ImmunizationOne MAXIMIZING z USING LP;
SCALAR Convexity;
Convexity = (1.0 / PV_Liab ) * SUM(i, Conv(i) * PV(i) * x.l(i));
DISPLAY x.l,Convexity,Conv_Liab;
MODEL ImmunizationTwo /ObjDef, PresentValueMatch, DurationMatch, ConvexityMatch/;
SOLVE ImmunizationTwo MAXIMIZING z USING LP;
DurationMatch.L = DurationMatch.L / PV_Liab;
ConvexityMatch.L = ConvexityMatch.L / PV_Liab;
DISPLAY x.l,PresentValueMatch.L,DurationMatch.L,ConvexityMatch.L;
EQUATION
ConvexityObj;
ConvexityObj .. z =E= ( 1.0 / PV_Liab ) * SUM(i, Conv(i) * PV(i) * x(i));
MODEL ImmunizationThree /ConvexityObj, PresentValueMatch, DurationMatch/
SOLVE ImmunizationThree MINIMIZING z USING LP;
DISPLAY x.l;