Environmental Engineering Reference
In-Depth Information
EðS t Þ ¼ S 0 e k S ðtt 0 Þ þ S m ð
e k S ðtt 0 Þ Þ ;
1
ð 52 Þ
which amounts to
EðS D t Þ ¼ S t e k S D t
e k S D t
þ S m ð
1
Þ :
ð 53 Þ
Also, the conditional variance is
r S
2 k S ½
e 2 k S ðtt 0 Þ :
Var
ðS t Þ ¼
1
ð 54 Þ
Since both mean and variance remain
nite as t !1
, this process is stationary.
Equation ( 11 ) is the continuous-time version of a
rst-order autoregressive
process AR ( 1 ) in discrete time:
e k D t
ÞþS t e k D t
S D t ¼ S m ð
1
þ e D t ¼ a þ bS t þ e D t ;
ð 55 Þ
where e t :
0
; r e Þ
, and the following notation holds:
a
a S m ð
1
bÞ)S m ¼
ð 56 Þ
b ;
1
) k ¼ ln b
b e kDt
ð 57 Þ
D t :
Also
r 2
2 k ½
2
e 2 k D t
ðr e Þ
¼
1
)
ð 58 Þ
2
2
2 kðr e Þ
ðr e Þ
ln b
2
) r 2
¼
e 2 kDt ¼
:
1
D t ½ b 2
1
58 ) enable the continuous-time process parameters ( k , S m , r )to
be recovered on estimating the regression coef
Equations ( 56
-
cients ( a , b ) and the standard
deviation of the regression residuals ( r e ).
References
1. Abadie LM, Chamorro JM (2013) Investment in energy assets under uncertainty. Springer,
London
2. Abadie LM, Ortiz RA, Galarraga I (2012) Determinants of energy ef ciency investments in
the U.S. Energy Policy 45:551
566
3. Abadie LM (2009) Valuation of long-term investments in energy assets under uncertainty.
Energies 2(3):738 - 768
-
Search WWH ::




Custom Search