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Error about Worst performer calculate

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형현
형현 2023 年 9 月 25 日
回答済み: Shivam Lahoti 2023 年 10 月 18 日
ns=10000;
face=10000;
val_date='2023-09-26';
mid_date= ['2024-03-21';'2024-09-23';'2025-03-21';'2025-09-23';'2026-03-23';'2026-09-18'];
strike=[1.0 0.95 0.9 0.85 0.8 0.75];
c_rate=[0.05 0.1 0.15 0.2 0.25 0.3];
dummy=0.3;
ki=0.5;
ki_YesNO='NO';
ref_S= [9179.5];
S=[6165.71];
r=0.05;
vol=[0.09];
rho=0.37;
temp_ch=datenum(mid_date)'-datenum(val_date);
mid_ch=temp_ch(find(temp_ch>=0));
c_rate=c_rate(find(temp_ch>=0));
strike=strike(find(temp_ch>=0));
N=mid_ch(end);
dt=1/365;
mid_size=length(mid_ch);
payment=zeros(ns,mid_size);
for i =1:ns
for j=1:mid_size
payment(i,j)=face*(1+c_rate(j));
end
end
corr=[1 rho;rho 1];
M=chol(corr);
SP1=zeros(ns,N+1);
SP1(:,1)=S(1);
for i=1:ns
w0=randn(N,2);
w=w0*M;
for j=2:N+1
SP1(i,j)=SP1(i,j-1)*exp((r-vol(1)^2/2)*dt+...
vol(1)*sqrt(dt)*w(j-1,1));
end
end
R1=SP1/ref_S(1);
size(R1)
ans = 1×2
10000 1089
WP=min(R1)
WP = 1×1089
0.6717 0.6600 0.6526 0.6545 0.6506 0.6460 0.6474 0.6454 0.6410 0.6410 0.6384 0.6359 0.6318 0.6294 0.6275 0.6245 0.6229 0.6251 0.6240 0.6211 0.6178 0.6196 0.6184 0.6204 0.6188 0.6188 0.6185 0.6161 0.6152 0.6129
------------------------------------------
The WP's derivation value should be as many as 10000 simulations, but only one line is derived, so the subsequent analysis process cannot be performed. Please help me
  5 件のコメント
Image Analyst
Image Analyst 2023 年 9 月 26 日
A 10000*1089 array is a 2-D matrix, not a 1-D vector. I don't know what "draw out" means to you. Do you mean "plot"? Or "extract"? Or something else?
Hyunuk Ha
Hyunuk Ha 2023 年 9 月 26 日
Do you mean draw 1089 lines with 1000 x 1089 matrix?
Basically, you can draw column numbers of lines with matrix data using 'plot(matrixdata)'

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回答 (1 件)

Shivam Lahoti
Shivam Lahoti 2023 年 10 月 18 日
Hi 형현,
From what I can understand, you expect the Worst performer matrix or WP to be a 10000*1 vector, but you are getting a 1*1089 vector.
In the code that is attached, WP is calculated as min(R1), and R1 is a 10000*1089 matrix. min(R1) calculates the column-wise minimum and hence produces a 1*1089 vector, you might want a row-wise minimum which could be calculated as:
WP = min(R1,[],2);
And the plot function could be leveraged to visualize the same.
I hope this helps.
Regards,
Shivam Lahoti.

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