Subscripted assignment dimension mismatch.
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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?
to run the code:
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);
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];
Thanks a lot.
1 comentario
Walter Roberson
el 21 de Ag. de 2013
Respuestas (0)
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