假如假设lognormal distribution,不用拆成几份,我叫分成几段
简单的例子,假如收益率是指y=S(T)/S(0)-1
y<0,K=S(T),call不值钱
0<=y<=5%,S(0)<=S(T)<=1.05*S(0),K=(1+2*y)*S(0)=2*S(T)-S(0),max[S(T)-K,0] =max[S(0)-S(T),0]=0,call不值钱
5%<=y<=10%,1.05*S(0)<=S(T)<=1.1*S(0),K=1.05*S(0),call的价值S(T)-1.05*S(0)
y>10%, S(T)>1.1*S(0),K=(1.05+0.1*y)*S(0)=0.95*S(0)+0.1*S(T),max[S(T)-K,0] =0.9*S(T)-0.95*S(0)
然后只要选risk neutral measure,在[1.05*S(0),1.1*S(0)]积分S(T)-1.05*S(0),在(1.1*S(0),+infinity)积分0.9*S(T)-0.95*S(0)
拆成几份有vol smile的时候特别有用,否则最后的结果应该是一样的,等我有时间试一下,或者你试过了告诉我