A COMPARI SON BETWEEN TWO KI NDSOFBMSBASED ON DI

advertisement
Appl
.Mat
h.J.Chi
ne
s
eUni
v.Se
r
.B
2005,20(4):407415
A COMPARI
SON BETWEEN TWO KI
NDSOFBMSBASED
ON DI
FFERENTCREDI
BI
LI
TY
Wa
ngYi
xua
n ZhouShuz
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om c
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l
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pur
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om t
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ii
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or
mat
i
on.
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n Y2,we pr
e
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e
nt t
he mai
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e
s
ul
t
s of s
quar
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r
or c
r
e
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l
i
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qui
t
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e
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r
e
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nYZ,wes
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tnot
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ompone
nt
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ons
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e
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BMS.I
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e
r
t
ai
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ondi
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ons
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f
e
r
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r
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or
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ough anume
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defg
hs
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umet
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ot
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l
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ri
ni
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h pol
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c
y pe
r
i
od ar
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andom
,i
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t
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but
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onde
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,anddi
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i
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nt
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e
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r
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ur
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).
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or
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eoq=(o1,...,oq)i
nt
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WangYi
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tal
A COMPARI
SON BETWEEN TWO KI
NDSOFBMSBASED
ON DI
FFERENT CREDI
BI
LI
TY
409
→
c
r
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bi
l
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or
y,^
Z t+ 1 s
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dbet
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orpe
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ue
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ort
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r
e
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r
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s
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ni
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ore
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ondi
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i
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an
→
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.
Z t+ 1 = E(Zt+ 1|τ
∫
[4,5]
J
e
we
l
l
(2.2)
ve
r
i
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i
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d:Us
i
ngs
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r
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l
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ng t
hatZi i
sc
ondi
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i
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pe
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t
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n r
e
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ur
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om t
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i
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or
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Z = (1- w )µ+ w z
t
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t
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whe
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ez
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s
i
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i
=1
w1 =
k=
t
,
t+ k
E[Var
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.
Var
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)]
(2.4)
(2.5)
(2.6)
Thef
ol
l
owi
ngt
he
or
ybe
l
ongst
o[9].
[9]us
e
dt
hef
ami
l
yofe
nt
r
opyl
os
sf
unc
t
i
onsi
nt
hepl
ac
eoft
r
adi
t
i
onals
quar
e
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r
or
.Theobj
.The
l
os
sf
unc
t
i
ons
e
c
t
i
vei
sme
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ur
i
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mi
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i
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ai
r
ne
s
s
ys
howe
dt
he
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,andt
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,l
f
unc
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i
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houl
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xands
at
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yg(1)=0.Thati
s
os
si
se
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s
e
dasaf
unc
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i
onof
))=µ(τ
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),whe
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os
sf
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or
m U2(Pt+ 1,µ(τ
r
er=
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e
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at
i
ve di
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f
e
r
e
nc
e we
i
ght
e
d by t
he t
r
ue pr
e
mi
um.The pr
e
mi
um de
r
i
ve
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r
om
mi
ni
mi
z
i
ngE[U2]i
sc
al
l
e
de
qui
t
abl
ec
r
e
di
bi
l
i
t
ypr
e
mi
um.
2
)=r-1,t
I
fg(r
he
nt
heopt
i
male
s
t
i
mat
ormi
ni
mi
z
i
ngE[U2]i
s
^
Z t+ 1 =
µ
→ [
(Eτ|z
µ(τ
)- 1]- 1).
t
→ [
E(Eτ|z
µ(τ
)- 1]- 1)
t
(2.7)
.Mat
.B
Appl
h.J.Chi
ne
s
eUni
v.Se
r
410
.20,No.4
Vol
Suppos
eZ|τi
sdi
s
t
r
i
but
e
dac
c
or
di
ngt
oadi
s
t
r
i
but
i
onf
r
om al
i
ne
are
xpone
nt
i
alf
ami
l
y.
Spe
c
i
f
i
c
al
l
y,t
hepdfofZ|τi
soft
hef
or
m
f(z|τ
)=
- zτ
p(z)e
,z≥ 0,τ∈ (τ
τ
,- ∞ ≤ τ
0,
1)
0< τ
1 ≤+ ∞.
q(τ
)
)= Thec
ondi
t
i
onalme
anofZ|τi
sgi
ve
nbyµ(τ
q'
(τ
)
,t
henat
ur
alpr
i
orc
onj
ugat
eofτ
q(τ
)
hast
hef
or
m
π(τ
)=
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{q(τ
)}- ke
,τ
0 < τ< τ
1.
c
(µ,k)
(2.8)
(µ,k)i
Fors
omeµandk>0,t
heval
uec
sanor
mal
i
z
i
ngc
ons
t
antf
orgi
ve
nval
ue
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k.
,as
=π(τ
Toobt
ai
ne
xac
tc
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e
di
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l
i
t
yf
ort
hee
qui
t
abl
ee
s
t
i
mat
or
s
umet
hatπ(τ
and
0)
1),
=π(τ
,whe
)= (µ(τ
))- 1.
π(τ
v(τ
v(τ
r
ev(τ
0)
0)
1)
1)
[5]
)}i
The
or
e
m 2.1 .Suppos
et
hat{f(z|τ
sal
i
ne
are
xpone
nt
i
alf
ami
l
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henat
ur
alpr
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or
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onj
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es
at
i
s
f
i
e
st
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e
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ar
i
t
yc
ondi
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i
onsoni
t
sboundar
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ve
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fvs
at
i
s
f
i
e
st
he
= av'f
di
f
f
e
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e
nt
i
ale
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i
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ors
omec
ons
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anta,t
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nt
hee
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t
abl
ec
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e
di
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l
i
t
ye
s
t
i
mat
or
.Spe
mi
ni
mi
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i
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se
xac
t
c
i
f
i
c
al
l
y,^
Z t+ 1=(1-w2)µ+w2z,whe
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e
w2 =
t
.
t+ k- a/µ
st uov
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|m}v
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umpt
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m = 0,1,...,
βα α- 1 - βθ
θ e ,θ> 0,α> 0,β> 0.
Г(α)
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(3.2)
)=α/β.
andwi
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Toobt
ai
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e
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s
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^ t+ 1 t
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heopt
i
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l
ai
mf
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e
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t
i
mat
or
tµ(θ
c
hi
st
het
r
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ai
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[6]
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tc
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t
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i
but
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l
lbeNe
gat
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nomi
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tM =
Σ x bethetotal
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.Thepos
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l
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s
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i
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uc
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ur
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ur
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ame
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om αandβt
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e
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pe
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t
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or
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umpt
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Expone
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umpt
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λ e ,λ> 0,ξ> 0,η> 0,
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)=ξ/η.
andt
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.De
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ttye
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As
s
umewehaveal
lhi
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ve
r
i
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ydat
ayM =(y1,...,yM )dur
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)whi
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heopt
i
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e
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i
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mat
or
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ve
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[11]
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os
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e
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t
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i
ors
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ur
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t
hc
l
ai
m hi
s
t
or
yyM i
s
M
r
eW =
Gamma(α+ M,β+ W ),whe
Σ y . So Gamma isa conjugate family for
j
j
=1
e
xpone
nt
i
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ke
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t
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e
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i
t
y
2
)=1-1,ands
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ht
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as
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nwhi
c
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ot
hel
os
sf
unc
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i
oni
s
2(3,µ(4
))=
32
- µ(4
).
µ(4
)
(4.1)
5r
om The
or
e
m 2.1 wec
an s
e
et
hatunde
rc
e
r
t
ai
nc
ondi
t
i
onst
hes
quar
e
d6
e
r
r
or
c
r
e
di
bi
l
i
t
ye
s
t
i
mat
orande
qui
t
abl
ec
r
e
di
bi
l
i
t
ye
s
t
i
mat
orhavet
hes
amef
or
m,t
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yar
eal
lan
af
f
i
nef
unc
t
i
on oft
hes
ampl
eme
an.Thedi
f
f
e
r
e
nc
ebe
t
we
e
nt
woe
s
t
i
mat
or
si
st
hatt
he
.
we
i
ght
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qual
&.7 f
r
e
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s
t
i
mat
or.,+e
re
-.i
t
a*l
ec
r
e
+i
*i
l
i
t
y
.Mat
.B
Appl
h.J.Chi
ne
s
eUni
v.Se
r
412
.20,No.4
Vol
),f
The
or
e
m 4.1.Unde
rAs
s
umpt
i
onsb)andc
orapol
i
c
yhol
de
rwhohasac
l
ai
mf
r
e
que
nc
y
→
,i
))=
dat
axt=(x1,...,xt)i
npas
ttye
ar
s
ft
hel
os
sf
unc
t
i
oni
st
ake
nasU(X,µ(θ
X2
-µ
µ(θ
)
(θ
),t
+1)t
he
nhi
sc
l
ai
m numbe
re
qui
t
abl
ec
r
e
di
bi
l
i
t
ye
s
t
i
mat
orf
or(t
hye
ari
s
^ t+ 1 =
X
α+ M
.
β+ t- β/α
(4.2)
.Not
~Poi
),i
=1,2,...,θ
~Gamma(α,β),i
Pr
oof
et
hatXi|θ
s
s
on(θ
ti
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ur
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onj
ugat
e
δ
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)=θ
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),t
=v'
,a=1.Thec
f
ami
l
yf
orXi|θ
tδ=-l
n(θ
he
nv(δ)=e andv"
ondi
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i
onsi
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^
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or
e
m 2.1ar
es
at
i
s
f
i
e
d.Sot
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r
e
di
bi
l
i
t
ye
s
t
i
mat
ori
sXt+ 1 = (1- w2)µ+ w2x,whe
r
e
µ=
α- M
t
,x= ,k= β,w2 =
,
β
t
t+ k- a/µ
.
andt
her
e
s
ul
tf
ol
l
ows
.
Re
mar
ks
(1)I
,t
ft
hewe
i
ghti
ne
qui
t
abl
ec
r
e
di
bi
l
i
t
yt
os
ampl
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xi
s
t
s
he
ni
ti
sgr
e
at
e
r
t
hant
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or
r
e
s
pondi
ngwe
i
ghtw1 i
nt
r
adi
t
i
onalc
r
e
di
bi
l
i
t
yof(2.5).
:I
(2)I
l
ongt
o(0,1),andhavet
hef
ol
l
owi
ngc
onc
l
us
i
ons
f
fα>1,t
he
nw2 and1-w2 be
M/f> α/β,t
hemal
ust
of
r
e
que
nc
y unde
re
qui
t
abl
ec
r
e
di
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l
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yi
smor
et
han i
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r
s
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de
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orc
r
e
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l
i
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=α/β,t
;
I
fM/t
hemal
ust
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e
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r
e
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l
i
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yt
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or
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e
sar
ee
qual
< α/β,t
I
fM/t
hebonust
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e
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nc
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re
qui
t
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tunde
r
s
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e
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r
r
orc
r
e
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bi
l
i
t
y.
(3)I
fα=1,t
he
nw2=1.Thec
r
e
di
bi
l
i
t
ye
s
t
i
mat
ori
st
hes
ampl
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o
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umpt
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(4)I
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he
nt
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emus
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an
ne
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e
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4.2 s
e
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t
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orunde
re
qui
t
abl
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r
e
di
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l
i
t
y
The
or
e
m 4.2.Unde
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umpt
i
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orapol
i
c
yhol
de
rwhohasac
l
ai
ms
e
ve
r
i
t
y
Y2
-φ
(λ
),t
he
n
φ
(λ
)
+1ye
hi
se
ac
hc
l
ai
ml
e
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le
s
t
i
mat
orunde
rbot
hc
r
e
di
bi
l
i
t
yt
he
or
i
e
sf
ort
arar
e
→
,i
(λ
))=
dat
ayM =(y1,...,yM )i
npas
ttye
ar
s
ft
hel
os
sf
unc
t
i
oni
sU(Y,φ
^
Y t+ 1 =
η+ W
.
M + ξ- 1
(4.3)
4.3 BMSunde
re
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t
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ec
r
e
di
bi
l
i
t
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hoe
r
y
:1.f
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A BMSi
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i
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r
hati
s
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;and2.f
,
amountofbonus
e
si
se
qualt
ot
het
ot
alamountofmal
us
e
s
ai
rf
ort
hepol
i
c
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de
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t
hati
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c
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i
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kt
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e
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.
pool
The
or
e
m 4.3.As
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umeAs
s
umpt
i
onsa)b)c)d)ande)hol
dandi
ft
oe
ve
r
yne
we
nt
e
r
pol
i
c
yhol
de
rt
hec
har
ge
d pr
e
mi
um i
s
αξ
.I
fα> 1,whe
n wet
akeU2(Pt+ 1,µ(τ))=
βη
A COMPARz
SO~ BETWEE~ TWO Kz
~DSOFBMSBASED
O~ Dz
FFERE~T CREDz
Bz
Lz
TY
.
WangYi
xuan,e
tal
2
)g(r
)ast
µ(τ
hel
os
sf
unc
t
i
on,whe
r
eg(r)= r- 1andr=
413
Pt+ 1
^ t+ 1^
,t
he
nX
Y t+ 1 r
e
s
ul
t
i
ng
µ(τ
)
f
r
om (4.2)and(4.3)i
sanopt
i
malpr
e
mi
um.
.Be
Pr
oof
c
aus
e ofAs
s
umpt
i
on a) we c
an de
alwi
t
ht
he f
r
e
que
nc
y and t
he s
e
ve
r
i
t
y
c
ompone
nts
e
par
at
e
l
y.
not
et
he s
ummi
ng f
or al
lpos
s
i
bl
ec
l
ai
m numbe
r
To c
l
ai
m f
r
e
que
nc
y,l
e
tΣ de
→
,t
i
nf
or
mat
i
onxt= (x1,...,xt)i
npas
ttye
ar
s
he
nf
orar
andom gi
ve
npol
i
c
yhol
de
rhi
s
e
xpe
c
t
e
dc
l
ai
mf
r
e
que
nc
yi
s
t
∫Σ E[X
→
α- 1
∫Σ
(xt)]p(xt|θ
)dθ=
t
+1
- θ xi
α- 1+ M
e
θ
f(θ
)dθ=
∏
β i= 1 xi!
β+ tα
t
θ
α- 1
t
α
α
∫f(θ)dθ+∫β+ t- βf(θ)dθ= β+ t- β + β+ t- β ·β = β.
β
β+ tα
α
α
α
Thee
xpe
c
t
e
ds
e
ve
r
i
t
yofe
ac
hc
l
ai
mi
nt
woc
r
e
di
bi
l
i
t
yt
he
or
i
e
si
se
qualt
o
ξ
ac
c
or
di
ngt
o
η
[6]andThe
or
y4.1.
αξ
,t
hei
ns
ur
e
rc
an
βη
,s
ke
e
pf
i
nanc
i
albal
anc
e.Unde
rt
hec
ondi
t
i
onα>1BMSi
sf
ai
r
oBMSde
ve
l
opsopt
i
mal
l
y.
Soi
ft
oe
ve
r
yne
we
nt
e
r
i
ngpol
i
c
yhol
de
rt
hec
har
ge
dpr
e
mi
um i
s
Fr
om The
or
e
m 4.3wec
ans
e
et
hatunde
rc
e
r
t
ai
nc
ondi
t
i
onst
het
ot
albonusamounti
s
e
qualt
ot
het
ot
almal
usamountf
oral
lpol
i
c
yhol
de
r
sunde
rbot
he
qui
t
abl
ec
r
e
di
bi
l
i
t
yt
he
or
y
andt
r
adi
t
i
onalc
r
e
di
bi
l
i
t
yt
he
or
y,butt
oe
ac
hpol
i
c
yhol
de
rwhohast
hes
amee
xpe
r
i
e
nc
et
he
.
e
xt
e
ntofbonusormal
usmaybedi
f
f
e
r
e
nt
no pqrs
r
t
u
vws
xvryw
s
z
nt
hi
ss
e
c
t
i
onweonl
yc
ompar
et
hedi
f
f
e
r
e
nc
ee
s
t
i
mat
or
sofc
l
ai
mf
r
e
que
nc
ybas
e
don
.
t
woc
r
e
di
bi
l
i
t
yt
he
or
i
e
s
Suppos
ewehavet
hef
ol
l
owi
ng r
e
c
or
d aboutt
henumbe
rofc
l
ai
msobt
ai
ne
df
r
om
[6]
1{6|}4pol
i
c
yhol
de
r
s (s
e
eTabl
e1).
Ta
bl
e1
~umbe
rofc
l
a
i
msi
noneye
a
r
~umbe
rofpol
i
c
yhol
de
r
s
{
|6|}8
1
|24{
2
}{4
3
43
4
|
>4
{
a
mountt
o
1{6|}4
Unde
rAs
s
umpt
i
onsb)and c)t
hee
s
t
i
mat
or
sofpar
ame
t
e
r
sar
e:θ= {.1{11,α=
.Mat
.B
Appl
h.J.Chi
ne
s
eUni
v.Se
r
414
.20,No.4
Vol
1.6049,β=15.8778.
(1)Be
c
aus
eα= 1.6049> 1,t
hec
ondi
t
i
onsofThe
or
e
m 4.1ar
es
at
i
s
f
i
e
d,s
owec
an
obt
ai
nt
hef
ol
l
owi
ngopt
i
male
qui
t
abl
ec
r
e
di
bi
l
i
t
ye
s
t
i
mat
or
sunde
rl
os
sf
unc
t
i
on (4.1)
(Tabl
e2).
Ta
bl
e2
^
1000X
t
+1
Ye
a
r
t
0
0
101.1
1
1
2
3
4
5
6
86.61
229.78
372.95
516.13
659.30
802.48
945.65
2
75.76
201.00
326.24
451.49
576.73
701.97
827.22
3
67.33
178.63
289.93
401.24
512.54
623.84
735.14
4
60.58
160.74
260.89
361.05
461.20
561.36
661.52
5
55.17
146.11
237.14
328.18
419.22
510.26
601.29
6
50.47
133.91
217.36
300.80
384.24
467.68
551.12
7
46.59
123.60
200.62
277.63
354.65
431.66
508.68
(2)I
fus
i
ngt
r
adi
t
i
onals
quar
e
de
r
r
orl
os
sf
unc
t
i
on(2.1),wec
anobt
ai
nanot
he
rs
e
r
i
e
s
ofe
s
t
i
mat
or
s(Tabl
e3).
Ta
bl
e3
^
1000X
t
+1
Ye
a
r
t
0
0
101.1
1
1
2
3
4
5
6
95.09
154.34
213.59
272.84
332.09
391.34
450.59
2
89.77
145.71
201.64
257.58
313.51
369.45
425.38
3
85.02
137.99
190.96
243.93
296.90
349.88
402.85
4
80.74
131.05
181.35
231.66
281.97
332.28
382.58
5
75.87
124.77
172.67
220.56
268.46
316.36
364.26
6
73.36
119.07
164.77
210.48
256.19
301.90
347.61
7
70.15
113.86
157.57
201.28
244.99
288.70
332.41
.(1)Eas
Re
mar
ks
i
l
ys
e
e
nf
r
om Tabl
e2andTabl
e3,unde
rc
ondi
t
i
onsofThe
or
e
m 3t
he
e
qui
t
abl
ec
r
e
di
bi
l
i
t
yi
smor
ede
pe
nde
ntons
ampl
ei
nf
or
mat
i
on.
(2)I
nt
hi
se
xampl
e,t
hee
xt
e
ntofbonusandmal
usunde
re
qui
t
abl
ec
r
e
di
bi
l
i
t
yi
smor
e
t
han t
he
yar
eunde
rs
quar
e
de
r
r
orc
r
e
di
bi
l
i
t
y,s
obonus
hunge
ri
smor
epos
s
i
bl
ei
nt
he
.Thoughbot
f
or
me
r
hTabl
e2andTabl
e3ar
ede
r
i
ve
df
r
om Tabl
e1,i
fal
l
owanc
ei
sf
or
.
WangYi
xuan,e
tal
A COMPARI
SON BETWEEN TWO KI
NDSOFBMSBASED
ON DI
FFERENT CREDI
BI
LI
TY
415
,wec
bonus
hunge
r
anhar
dl
yobt
ai
nt
hes
amei
nf
or
mat
i
ondat
a.
Re
f
e
r
e
nc
e
s
1 Buhl
ma
nnH.Ma
t
he
ma
t
i
c
a
lMode
l
si
nRi
s
kThe
or
y,Ne
w Yor
k:Spr
i
nge
r
Ve
r
l
a
g,1970.
2 Di
:t
onneG,Va
na
s
s
aC.A ge
ne
r
a
l
i
z
a
t
i
onofa
ut
omobi
l
ei
ns
ur
a
nc
er
a
t
i
ngmode
l
s
hene
ga
t
i
vebi
nomi
a
l
,ASTI
212.
di
s
t
r
i
but
i
onwi
t
har
e
gr
e
s
s
i
onc
ompone
nt
N Bul
l
e
t
i
n,1989,19:1993 Fr
a
ngosN E,Vr
ont
osSD.De
s
i
gnofopt
i
ma
lBonus
Ma
l
uss
ys
t
e
mswi
t
haf
r
e
que
nc
ya
ndas
e
ve
r
i
t
y
22.
c
ompone
ntona
ni
ndi
vi
dua
lba
s
i
si
na
ut
omobi
l
ei
ns
ur
a
nc
e,ASTI
N Bul
l
e
t
i
n,2001,31:14 J
341.
e
we
l
lW S.Re
gul
a
r
i
t
yc
ondi
t
i
onsf
ore
xa
c
tc
r
e
di
bi
l
i
t
y,ASTI
N Bul
l
e
t
i
n,1974,8:3365 J
,ASTI
90.
e
we
l
lW S.Cr
e
di
bi
l
i
t
yi
se
xa
c
tBa
ye
s
i
a
nf
ore
xpone
nt
i
a
lf
a
mi
l
i
e
s
N Bul
l
e
t
i
n,1974,8:776 Le
.Bonus
:Kl
ma
i
r
eJ
ma
l
us Sys
t
e
ms i
n Aut
omobi
l
eI
ns
ur
a
nc
e,Ma
s
s
a
c
hus
e
t
t
s
uwe
r Ac
a
de
mi
c
,1995.
Publ
i
s
he
r
s
7 Pi
,Gui
,ASTI
nque
tJ
l
l
e
nM,Bol
a
nc
eC.Al
l
owa
nc
ef
ort
hea
geofc
l
a
i
msi
nBonus
Ma
l
usSys
t
e
ms
N
348.
Bul
l
e
t
i
n,2001,31:337-
8 Pr
,J
omi
s
l
ow SD,YoungV R.Ana
xi
oma
t
i
cc
ha
r
a
c
t
e
r
i
z
a
t
i
onofs
omeme
a
s
ur
e
sofunf
a
i
r
ne
s
s
our
na
lof
368.
Ec
onomi
cThe
or
y,1991,53:3459 Pr
11.
omi
s
l
ow SD,YoungV R.Equi
t
ya
nde
xa
c
tc
r
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di
bi
l
i
t
y,ASTI
N Bul
l
e
t
i
n,2001,30:310 SundtB.Cr
,I
.1988,
e
di
bi
l
i
t
ye
s
t
i
ma
t
or
swi
t
hge
ome
t
r
i
cwe
i
ght
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ur
a
nc
e:Ma
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i
c
sa
ndEc
onomi
c
s
7:113122.
11 Wa
,J
ngY X,ZhouSZ.Opt
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ma
lBonus
Ma
l
uss
ys
t
e
m wi
t
hf
r
e
que
nc
ya
nds
e
ve
r
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t
yc
ompone
nt
our
na
lof
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Huna
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ve
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y,2002,6:7-
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na
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eCol
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sCol
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ve
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y,Cha
ngs
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na.
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