Effacer les filtres
Effacer les filtres

Subscripted assignment dimension mismatch.

1 vue (au cours des 30 derniers jours)
Mario
Mario le 20 Août 2013
Hi all,
every time I run this function I get the following error message:
Subscripted assignment dimension mismatch.
Error in volas (line 12)
LMMVol(i,j) = RebonatoFormula(point(4), point(5), point(6),
point(7), psi, point(1:3), maturities, rates, i, i+j)
%tenorDate+tenorDate
function [sse] = volas(point, tenorDate, maturities, rates, maturity, marketData) %point=[beta(1) beta(2) beta(3) a b c d]
LMMVol=zeros(tenorDate-1);
alph=[point(4) point(5) point(6) point(7)];
psi = CoTerminalVolaCallibration(alph, point(1:3), maturities, rates, maturity, tenorDate, tenorDate+tenorDate, marketData);
for i=1:tenorDate-1
for j=1:tenorDate-i
%RebonatoFormula
LMMVol(i,j) = RebonatoFormula(point(4), point(5), point(6), point(7), psi, point(1:3), maturities, rates, i, i+j) %tenorDate+tenorDate
CompData(i,j) = marketData(i,j)
end
end
errors = LMMVol - CompData;
sse = sum(sum(errors .^ 2));
end
when i take away (i,j) from LMMVol in line 12, the code works but instead of the needed LMMVol-Matrix with dimension tenorLength-1 (or 10), I only get a scalar.
Does anyone know how I will get a matrix as a result?
Thanks a lot.
  1 commentaire
the cyclist
the cyclist le 20 Août 2013
Can you supply examples of the input parameters, so that you have self-contained code that we can actually run and show the error?

Connectez-vous pour commenter.

Réponses (2)

Iain
Iain le 20 Août 2013
The error is due to the fact that the RebonatoFormula function does not always output scalar values.
You need to determine exactly what it outputs, and handle that instead of assuming that it just outputs a scalar value.

Mario
Mario le 20 Août 2013
Modifié(e) : Walter Roberson le 20 Août 2013
absolutely:
function V = RebonatoFormula(a, b, c, d, psi, beta, maturities, rates, maturity, tenorDate) %horizon
CORR=CorrelationMatrix(beta, maturities, tenorDate-1, maturity, tenorDate);
V=0;
for indexI=maturity:tenorDate-1
for indexJ=maturity:tenorDate-1
test=quad(@vola,0,maturity);
V=V+weights(indexI, maturity, tenorDate, rates)*weights(indexJ, maturity, tenorDate, rates)*rates(indexI)*rates(indexJ)*CORR(indexI,indexJ)*quad(@vola,0,maturity); %S.15 Formel (Zähler+Integral)
end
end
V=sqrt((1/maturity)*V*(1./swapRate^2));
function v = vola(time)
v1 = VolFunc(a, b, c, d, psi(indexI), time, maturity);
v2 = VolFunc(a, b, c, d, psi(indexJ), time, maturity);
v = v1.*v2;
end
function w = weights(index, maturity, tenorDate, rates)
helper= cumprod(1./(1+rates(maturity:tenorDate-1)));
nom = helper(index-maturity+1);
denom = cumsum(helper);
w = nom./denom(tenorDate-maturity);
end
function S = swapRate
S = rates(maturity:tenorDate-1)*weights(maturity:tenorDate-1, maturity, tenorDate, rates)';
end
end
function CORR = CorrelationMatrix(beta, maturities, horizon, startRate, endRate)
CORR=zeros(endRate-startRate);
for i = startRate:endRate
for j = startRate:endRate
CORR(i,j) = CorrFunc(beta, horizon, maturities(j), maturities(i));
end
end
end
Inputs:
marketData=[0.252000000000000,0.218000000000000,0.191000000000000,0.173000000000000,0.159000000000000,0.147000000000000,0.139000000000000,0.131000000000000,0.128000000000000,0.124000000000000;0.235000000000000,0.201000000000000,0.179000000000000,0.163000000000000,0.150000000000000,0.140000000000000,0.133000000000000,0.125100000000000,0.122000000000000,0.118000000000000;0.214000000000000,0.187000000000000,0.168000000000000,0.153000000000000,0.142000000000000,0.132000000000000,0.126000000000000,0.119000000000000,0.117000000000000,0.113000000000000;0.194000000000000,0.174000000000000,0.157000000000000,0.144000000000000,0.134000000000000,0.126000000000000,0.120000000000000,0.114000000000000,0.111000000000000,0.108000000000000;0.180000000000000,0.163000000000000,0.147000000000000,0.135000000000000,0.127000000000000,0.119000000000000,0.114000000000000,0.108000000000000,0.106000000000000,0.103000000000000;0.168000000000000,0.153000000000000,0.138000000000000,0.130000000000000,0.122000000000000,0.116000000000000,0.112000000000000,0.106000000000000,0.104000000000000,0.101000000000000;0.159000000000000,0.146000000000000,0.134000000000000,0.126000000000000,0.120000000000000,0.115000000000000,0.111000000000000,0.106000000000000,0.104000000000000,0.101000000000000;0.151000000000000,0.140000000000000,0.130000000000000,0.124000000000000,0.118000000000000,0.113000000000000,0.109000000000000,0.104000000000000,0.103000000000000,0.100000000000000;0.145000000000000,0.135000000000000,0.128000000000000,0.121000000000000,0.116000000000000,0.111000000000000,0.108000000000000,0.103000000000000,0.102000000000000,0.099000000000000;0.139000000000000,0.132000000000000,0.125000000000000,0.119000000000000,0.115000000000000,0.111000000000000,0.108000000000000,0.103000000000000,0.102000000000000,0.099000000000000];
rates=[.0299 .0366 .041 .0444 .0475 .0497 .0514 .0522 .053 .054]';
maturity = 1;
maturities = [[3,4,5,6,7,8,9,10,11,12;4,5,6,7,8,9,10,11,12,13;5,6,7,8,9,10,11,12,13,14;6,7,8,9,10,11,12,13,14,15;7,8,9,10,11,12,13,14,15,16;8,9,10,11,12,13,14,15,16,17;9,10,11,12,13,14,15,16,17,18;10,11,12,13,14,15,7,17,18,19;11,12,13,14,15,16,17,18,19,20;12,13,14,15,16,17,18,19,20,21;]];
tenorDate = 11;
horizon= tenorDate+tenorDate;
startRate= 10;
endRate= tenorDate+tenorDate-2;
index=maturity:tenorDate-1;
psi=ones(1,tenorDate-1);
a=0;
b=.2;
c=.3;
d=.1;
beta=[.2 .1 .05]';
time=0;
time_k=10;
alph=[a b c d];
point=[beta(1) beta(2) beta(3) a b c d];

Catégories

En savoir plus sur Feature Calibration dans Help Center et File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by