Краткие сведения по стохастической финансовой математике. Барабанов А.Е. - 14 стр.

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m =
DX
1
DX
1
= X
2
0
Dρ(b)
Dρ(A
k
) = E{(ρ(A
k
) Eρ(A
k
))
2
}, 1 k N,
Cov(ρ(A
i
), ρ(A
j
)) = E{(ρ(A
i
) Eρ(A
i
))(ρ(A
j
) Eρ(A
j
))}, 1 i, j N.
Dρ(b) =
N
X
k=1
d
2
k
Dρ(A
k
) +
N
X
i,,j=1;i6=j
d
i
d
j
Cov(ρ(A
i
), ρ(A
j
)).
Cov(ρ(A
i
), ρ(A
j
))
Dρ(b)
d
k
= 1/N 1 k N ρ(A
k
)
k = 1, 2, . . . , N
Dρ(b) =
1
N
2
N
X
k=1
Dρ(A
k
).
σ
2
N
=
1
N
N
X
k=1
Dρ(A
k
).
Dρ(A
k
)
Dρ(b) =
1
N
σ
2
N
0
N
N
d
k
= 1/N A
k
Dρ(b) =
1
N
2
N
X
k=1
Dρ(A
k
) +
1
N
2
N
X
i,,j=1;i6=j
Cov(ρ(A
i
), ρ(A
j
)) =
1
N
σ
2
N
+
µ
1
1
N
Cov
N
,