The H-derivative of the expected supremum of fractional Brownian motion $$\{B_H(t),t\in {\mathbb {R}}_+\}$$
{
B
H
(
t
)
,
t
∈
R
+
}
with drift $$a\in {\mathbb {R}}$$
a
∈
R
over time interval [0, T] $$\begin{aligned} \frac{\partial }{\partial H} {\mathbb {E}}\Big (\sup _{t\in [0,T]} B_H(t) - at\Big ) \end{aligned}$$
∂
∂
H
E
(
sup
t
∈
[
0
,
T
]
B
H
(
t
)
-
a
t
)
at $$H=1$$
H
=
1
is found. This formula depends on the quantity $${\mathscr {I}}$$
I
, which has a probabilistic form. The numerical value of $${\mathscr {I}}$$
I
is unknown; however, Monte Carlo experiments suggest $${\mathscr {I}}\approx 0.95$$
I
≈
0.95
. As a by-product we establish a weak limit theorem in C[0, 1] for the fractional Brownian bridge, as $$H\uparrow 1$$
H
↑
1
.