Questions tagged [stochastic-integrals]

This tag is used for questions about stochastic integrals – especially for calculations. For questions related to more theoretical aspects of stochastic integrals such as their constructions, (stochastic-analysis) may be more appropriate.

A stochastic integral is an integral of stochastic processes with respect to stochastic processes. This may include Ito's integrals, but also variants such as Stratonovich integrals.

2333 questions
22
votes
4 answers

Expectation of geometric brownian motion

I was deriving the solution to the stochastic differential equation $$dX_t = \mu X_tdt + \sigma X_tdB_t$$ where $B_t$ is a brownian motion. After finding $$X_t = x_0\exp((\mu - \frac{\sigma^2}{2})t + \mu B_t)$$ I wanted to calculate the expectation…
Stijn
  • 1,140
14
votes
2 answers

ito vs Stratonovich

I need to sum up the advantages of ito and stratonovich. I often heard, that the Stratonovich integral lacks the important property of the Itō integral, which does not "look into the future". Can you explain me why Stratonovich looks into the…
7
votes
1 answer

Applying Ito To Geometric Brownian Motion

I'm trying to understand the example problem on the Wikipedia page for Ito's Lemma and need it dumbed down a little bit. $$dS = S(\sigma dB + \mu dt)$$ $$ f(S) = log(S) $$ Given Ito's lemma, below: $$ df(t, X_t) = (\frac{\partial f}{\partial t} +…
Soo
  • 901
7
votes
1 answer

Trying to integrate a stochastic RV, $\int_0^t sZ_s \, ds$

I'm not taking an official class (actuarial exams), some fellow "students" created a question (forum discussion), considering the integral in title. This is my attempt at a solution with no real justifications \begin{align} \int_0^tsZ_s \, ds & =…
5
votes
0 answers

stochastic differential equation

$X_t$ is a weak solution to the SDE with $dX_t = ( −\alpha X_t + \gamma)dt + \beta dB_t$ , $\forall t \geq 0$ $X_0 = x_0$. $\;\;\;\alpha$, $\beta$, and $\gamma$ constants, and $Bt$ is a Brownian motion. I need to find the PDE for the transition…
lisa
  • 79
5
votes
0 answers

In Itô's lemma, if you wish to take expectations, when can you ignore the stochastic integral term?

Fix $d,k \in \mathbb{N}$. Let $\,b\colon \mathbb{R}^d \to \mathbb{R}^d\,$ and $\,\sigma\colon \mathbb{R}^d \to \mathbb{R}^{d \times k}\,$ be locally Lipschitz functions such that the Itô SDE $$dX_t=b(X_t)dt+\sigma(X_t)dW_t $$ has global existence…
5
votes
1 answer

Stochastic Integral

I've just learned about stochastic integral and only know how to evaluate $\int\limits^{t}_{0} W(s)\mathrm{d}W(s)$. Could anyone give me some instruction on how to evaluate the following integrals? $$\mathbb{Var}\left(\int_{1}^2 (W_t)^2\mathrm{d}W_t…
BVFanZ
  • 839
4
votes
1 answer

How to calculate this easy stochastic integral?

I have a relatively simple homework for stochastic calculus that I recently started to learn. I cannot seem to calculate the following integral: $$ \int_0^t s dW_s $$ In principle, it should be solved by guessing some primitive function $f(W_t,t)$,…
in_finiti
  • 75
  • 1
  • 6
4
votes
0 answers

Doleans-Dade exponential formula

How do I apply the Doleans-Dade exponential formula for the following Lévy stochastic differential equation: $$dZ_t=Z_t\left(\theta_1(t)dW_t^{(1)} +\theta_2(t)dW_t^{(2)}+\int_\mathbb R \theta(s,x)\mu(ds,st)-v(ds,dt)\right),$$ where $W_t^{(1)}$ and…
Vaolter
  • 1,711
3
votes
1 answer

Expectation of Ito integral, part 2, and Fubini theorem

I previously asked a question (Expectation of Ito integral). I have additional questions on the same subject. Let's say that we have an Ito process such as $$ X(t)=X(0) + \int_0^t a ds + \int_0^t b X(s) dW(s) $$ where a and b are constants and W(t)…
user154506
3
votes
1 answer

Expectation of Ito integral

The expectation of an Itô stochastic integral is zero $$ E[\int_0^t X(s)dB(s)\,]=0 $$ if $$ \int_0^t E[X^2(s)]ds\,<\infty $$ It is sometimes possible to check this condition directly if the Itô integrand is simple enough but how would you do it if…
user154506
3
votes
1 answer

stochastic integrals and inequalities (boundedness)

We have $X(t)=[X_1(t)\ X_2(t)\ X_3(t)\ \dots\ X_n(t)]$ and $Y(t)=[Y_1(t)\ Y_2(t)\ Y_3(t)\ \dots\ Y_n(t)]$ are two stochastic process such that: $$\sup E[Y_1^2] \leq K,$$ on $[t_0, T]$ with $K$ a positive integer. Is that true $$E\int^T_{t_0}…
fidel
  • 31
3
votes
2 answers

is integral with respect to finite variation process of finite variation?

is integral with respect to finite variation process of finite variation? $\int_{[0,t]}X_sdA_s$, where X is $\mathcal{B}\times F$-measurable. If no in general, under what conditions? Question 2: if I have integral w.r. to local martingale. What is…
c-walk
  • 447
3
votes
0 answers

What is the solution of this stochastic integration?

This is the integration $$\int_0^t {\tau\ dW(\tau)}$$ where $W(t)$ is Wiener Process. I've check using wolfram mathematica that the solution is $$\frac{t}{\sqrt{3}} W(t)$$ But, I completely don't know why. I'm new in SDE. The clue from the problem…
3
votes
1 answer

Stochastic Integration of $B^2dB$?

From Oksendal's Stochastic Differential Equations I'm to prove that, for B Brownian motion and using the definition of an Ito integral, $$ \displaystyle{\int_0^t}B_s^2\, dB_s = \frac{1}{3}B_t^3 - \displaystyle{\int_0^t}B_s\,ds $$ However I keep…
1
2 3 4