Estimating the Codifference Function of Linear Time Series Models ...
Estimating the Codifference Function of Linear Time Series Models ...
Estimating the Codifference Function of Linear Time Series Models ...
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and for p ≠ q<br />
cov(Re(φ 3 (s i , p)), Re(φ 3 (s j , q))) = 2e −σα (|s i| α +|s j| α +|s i−s j| α )<br />
+ 2e −σα (|s i| α +|s j| α +|s i+s j | α) − 4e −σα (2|s i| α +|2s j| α )<br />
cov(Im(φ 1 (s i , p)), Im(φ 1 (s j , q))) = cov(sin(−s i X t ), sin(−s j X t )) = 1 |s i−s j| α<br />
2 {e−σα − e −σα |s i+s j | α }<br />
cov(Im(φ 1 (s i , p)), Im(φ 2 (s j , q))) = cov(Im(φ 2 (s i , p)), Im(φ 1 (s j , q)))<br />
= −cov(Im(φ 1 (s i , p)), Im(φ 1 (s j , q)))<br />
cov(Im(φ 2 (s i , p)), Im(φ 2 (s j , q))) = cov(Im(φ 1 (s i , p)), Im(φ 1 (s j , q)))<br />
cov(Im(φ 3 (s i , p)), Im(φ 3 (s j , q)))<br />
= cov(sin(s i (X t+p − X t )), sin(s j (X t+q − X t ))) + cov(sin(s i (X t+p+q − X t+q )), sin(s j (X t+q − X t )))<br />
+ cov(sin(s i (X t+p+q − X t+p )), sin(s j (X t+p − X t ))) + c pq<br />
Im<br />
where<br />
yielding for p = q<br />
c pq<br />
Im = ⎧<br />
⎨<br />
⎩<br />
cov(Im(φ 3 (s i , k)), Im(φ 3 (s j , k)))<br />
0 if p = q<br />
cov(sin(s i (X t+q − X t+q−p )), sin(s j (X t+q − X t ))) if q > p<br />
cov(sin(s i (X t+p − X t )), sin(s j (X t+p − X t+p−q ))) if p > q<br />
= 1 2 e−2σα |s i−s j| α − 1 2 e−2σα |s i+s j| α + e −σα (|s i| α +|s j| α +|s i+s j | α) − e −σα (|s i| α +|s j| α +|s i−s j | α )<br />
and cov(Im(φ 3 (s i , k)), Im(φ 3 (s j , k))) = 0 for p ≠ q. The o<strong>the</strong>r elements are all zeros. The elements<br />
<strong>of</strong> L k 2 are as given in (34), where <strong>the</strong> elements <strong>of</strong> d k i , i = 1, . . .r are<br />
As from (45) we obtain<br />
and<br />
<strong>the</strong>n <strong>the</strong> (i,j)-th element <strong>of</strong> m RR<br />
kk<br />
d k i (1, 1) = (Re Φ(0, −s i; k)) −1 = e σα |s i| α<br />
d k i (2, 2) = (Re Φ(s i , 0; k)) −1 = e σα |s i| α<br />
d k i (3, 3) = (Re Φ(s i , −s i ; k)) −1 = e 2σα |s i| α )<br />
m RR<br />
kk = cov(Re ˆτ(s, k), Re ˆτ(s, k)) = (I r ⊗ λ 1 )d k V RR<br />
kk dk (I r ⊗ λ T 1 )<br />
m II<br />
kk = cov(Im ˆτ(s, k), Im ˆτ(s, k)) = (I r ⊗ λ 1 )d k V RR<br />
kk d k (I r ⊗ λ T 1 )<br />
and mII<br />
kk<br />
is obtained from<br />
m RR<br />
kk (i, j) = λ 1 d k i V RR<br />
kk (i, j)d k jλ T 1<br />
and<br />
m II<br />
kk (i, j) = λ 1d k i V kk II (i, j)dk j λT 1<br />
which <strong>the</strong>refore after a simple algebra, we obtain<br />
m RR<br />
kk (i, j) = eσα (|s i| α +|s j| α −|s i−s j| α ) { 1<br />
2 eσα (|s i| α +|s j | α −|s i−s j| α) − 1<br />
+ e σα (|s i| α +|s j| α −|s i+s j| α ) { 1<br />
2 eσα (|s i| α +|s j| α −|s i+s j | α) − 1<br />
}<br />
}<br />
+ 1<br />
{<br />
m II<br />
kk (i, j) = (|s i| α +|s j| α −|s i−s j| α ) 1 (|s i| α +|s j| α −|s i−s j | α) }<br />
eσα 2 eσα − 1<br />
{ }<br />
+ e σα (|s i| α +|s j| α −|s i+s j| α )<br />
1 − 1 (|s i| α +|s j| α −|s i+s j | α )<br />
2 eσα<br />
The required result follows directly from (44).<br />
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