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Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics. Patrick Muldowney
Читать онлайн.Название Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics
Год выпуска 0
isbn 9781119595526
Автор произведения Patrick Muldowney
Жанр Математика
Издательство John Wiley & Sons Limited
The latter corresponds to the calculation
of Example 5, where is used, but not
or any value intermediate between
and
.
The reasoning is as follows. At time the investor makes a policy decision to purchase a quantity
of shares whose value from time
up to (but not including) time
is
. This number of shares (the portfolio) is retained up to time
. At that instant of time
the decision cycle is repeated, and the investor adjusts the portfolio by taking a position of holding
number of shares, each of which has the new value
.
In the time period to
, the gain in value of the portfolio level chosen at time
is
not , since the portfolio quantity
operates in the time period
to
(not
to
). Reverting to continuous form, this translates to Riemann sum terms of the form
2.4 Choosing a Sample Space
It was mentioned earlier that there are many alternative ways of producing a sample space (along with the linked probability measure
and family
of measurable subsets of
). The set of numbers
was used as sample space for the random variability in the preceding example of stochastic integration. The measurable space was the family of all subsets of
, and the example was illustrated by means of two distinct probability measures
, one of which was based on Up and Down transitions being equally likely, where for the other measure an Up transition was twice as likely as a Down.
An alternative sample space for this example of random variability is
(2.13)
where for
; so the elements
of
consist of sixteen 4‐tuples of the form
Let the measurable space be the family of all subsets
of
; so
contains
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