scholarly journals The Itô formula for a new stochastic integral

2012 ◽  
Vol 6 (4) ◽  
Author(s):  
Hui-Hsiung Kuo ◽  
Anuwat Sae-Tang ◽  
Benedykt Szozda
Author(s):  
Tomas Björk

We introduce the Wiener process, the Itô stochastic integral, and derive the Itô formula. The connection with martingale theory is discussed, and there are several worked-out examples


Author(s):  
Dmytro Gusak ◽  
Alexander Kukush ◽  
Alexey Kulik ◽  
Yuliya Mishura ◽  
Andrey Pilipenko

2000 ◽  
Vol 7 (1) ◽  
pp. 155-168
Author(s):  
B. Mamporia

Abstract If (Wt ) t∈[ 0, 1] is a Wiener process in an arbitrary separable Banach space X, ψ : [0, 1] × X → Y is a continuous function with values in another separable Banach space, and ψ has continuous Frechet derivatives , and , then the Ito formula is obtained for ψ(t, Wt ). The method is based on the concept of covariance operator and a special construction of the Ito stochastic integral.


2002 ◽  
Vol 31 (8) ◽  
pp. 477-496
Author(s):  
Said Ngobi

The classical Itô formula is generalized to some anticipating processes. The processes we consider are in a Sobolev space which is a subset of the space of square integrable functions over a white noise space. The proof of the result uses white noise techniques.


2002 ◽  
Vol 124 (1) ◽  
pp. 73-99 ◽  
Author(s):  
Kimberly Kinateder ◽  
Patrick McDonald

Author(s):  
K. L. Chung ◽  
R. J. Williams
Keyword(s):  

2002 ◽  
Vol 188 (1) ◽  
pp. 292-315 ◽  
Author(s):  
Michael Anshelevich

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