Expectation in a stochastic differential equation Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) Announcing the arrival of Valued Associate #679: Cesar Manara Unicorn Meta Zoo #1: Why another podcast?What is Ito's lemma used for in quantitative finance?Question about the stochastic differential equation in the Merton modelComputation of ExpectationSquare of arithmetic brownian motion processBaxter & Rennie HJM: differentiating Ito integralSimple HJM model, differentiating the bond priceStochastic Leibniz ruleStochastic differential equation of a Brownian MotionHow to calculate the product of forward rates with different reset times using Ito's lemma?For an Ito Process, $dlnX neq fracdXX$ and $(dlnX)^2 = (fracdXX)^2$, but $dlnX neq pm fracdXX$

Estimate capacitor parameters

Simulating Exploding Dice

Cauchy Sequence Characterized only By Directly Neighbouring Sequence Members

How can I make names more distinctive without making them longer?

When communicating altitude with a '9' in it, should it be pronounced "nine hundred" or "niner hundred"?

Why is there no army of Iron-Mans in the MCU?

Cold is to Refrigerator as warm is to?

Problem when applying foreach loop

Determine whether f is a function, an injection, a surjection

Stars Make Stars

Stop battery usage [Ubuntu 18]

Writing Thesis: Copying from published papers

Area of a 2D convex hull

What was the last x86 CPU that did not have the x87 floating-point unit built in?

Why does tar appear to skip file contents when output file is /dev/null?

Passing functions in C++

Working around an AWS network ACL rule limit

How to market an anarchic city as a tourism spot to people living in civilized areas?

Active filter with series inductor and resistor - do these exist?

Can I throw a longsword at someone?

What did Darwin mean by 'squib' here?

Do working physicists consider Newtonian mechanics to be "falsified"?

Is drag coefficient lowest at zero angle of attack?

I'm thinking of a number



Expectation in a stochastic differential equation



Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
Announcing the arrival of Valued Associate #679: Cesar Manara
Unicorn Meta Zoo #1: Why another podcast?What is Ito's lemma used for in quantitative finance?Question about the stochastic differential equation in the Merton modelComputation of ExpectationSquare of arithmetic brownian motion processBaxter & Rennie HJM: differentiating Ito integralSimple HJM model, differentiating the bond priceStochastic Leibniz ruleStochastic differential equation of a Brownian MotionHow to calculate the product of forward rates with different reset times using Ito's lemma?For an Ito Process, $dlnX neq fracdXX$ and $(dlnX)^2 = (fracdXX)^2$, but $dlnX neq pm fracdXX$










3












$begingroup$


I'm new to stochastic calculus, I want to find the mean of $X_2$ with $X_t = exp(W_t)$, with $W_t$ a Wiener process.



I used Ito's Lemma is arrive at the SDE:
beginalign
d(X_t) = frac12X_t dt + X_t dW_t
endalign

But how can I get the mean of $X_2$?










share|improve this question











$endgroup$
















    3












    $begingroup$


    I'm new to stochastic calculus, I want to find the mean of $X_2$ with $X_t = exp(W_t)$, with $W_t$ a Wiener process.



    I used Ito's Lemma is arrive at the SDE:
    beginalign
    d(X_t) = frac12X_t dt + X_t dW_t
    endalign

    But how can I get the mean of $X_2$?










    share|improve this question











    $endgroup$














      3












      3








      3


      1



      $begingroup$


      I'm new to stochastic calculus, I want to find the mean of $X_2$ with $X_t = exp(W_t)$, with $W_t$ a Wiener process.



      I used Ito's Lemma is arrive at the SDE:
      beginalign
      d(X_t) = frac12X_t dt + X_t dW_t
      endalign

      But how can I get the mean of $X_2$?










      share|improve this question











      $endgroup$




      I'm new to stochastic calculus, I want to find the mean of $X_2$ with $X_t = exp(W_t)$, with $W_t$ a Wiener process.



      I used Ito's Lemma is arrive at the SDE:
      beginalign
      d(X_t) = frac12X_t dt + X_t dW_t
      endalign

      But how can I get the mean of $X_2$?







      itos-lemma sde






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Mar 31 at 20:09







      Victor

















      asked Mar 31 at 19:12









      VictorVictor

      1016




      1016




















          1 Answer
          1






          active

          oldest

          votes


















          3












          $begingroup$

          Assuming you are talking about unconditional expectation, in general you have



          $$
          mathbbE[X_t] = mathbbE[e^W_t] = e^mathbbE[W_t] + frac12textVar(W_t)
          $$



          which yields



          $$
          mathbbE[X_t]= e^frac12 t
          $$



          Hence,



          $$ mathbbE[X_2]= e $$






          share|improve this answer









          $endgroup$












          • $begingroup$
            I'm quite new to the theory. What is the name of the first equality and under which hypotheses is it true?
            $endgroup$
            – Victor
            Mar 31 at 20:00






          • 1




            $begingroup$
            @Victor the first equality comes from the moment-generating function of a normal. Take a look here for more details. In general, $mathbbE[e^X] = e^mu + frac12 sigma^2$ holds whenever $X sim mathcalN(mu, sigma^2)$
            $endgroup$
            – RafaelC
            Mar 31 at 20:06











          Your Answer








          StackExchange.ready(function()
          var channelOptions =
          tags: "".split(" "),
          id: "204"
          ;
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function()
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled)
          StackExchange.using("snippets", function()
          createEditor();
          );

          else
          createEditor();

          );

          function createEditor()
          StackExchange.prepareEditor(
          heartbeatType: 'answer',
          autoActivateHeartbeat: false,
          convertImagesToLinks: false,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: null,
          bindNavPrevention: true,
          postfix: "",
          imageUploader:
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          ,
          noCode: true, onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          );



          );













          draft saved

          draft discarded


















          StackExchange.ready(
          function ()
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fquant.stackexchange.com%2fquestions%2f44854%2fexpectation-in-a-stochastic-differential-equation%23new-answer', 'question_page');

          );

          Post as a guest















          Required, but never shown

























          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          3












          $begingroup$

          Assuming you are talking about unconditional expectation, in general you have



          $$
          mathbbE[X_t] = mathbbE[e^W_t] = e^mathbbE[W_t] + frac12textVar(W_t)
          $$



          which yields



          $$
          mathbbE[X_t]= e^frac12 t
          $$



          Hence,



          $$ mathbbE[X_2]= e $$






          share|improve this answer









          $endgroup$












          • $begingroup$
            I'm quite new to the theory. What is the name of the first equality and under which hypotheses is it true?
            $endgroup$
            – Victor
            Mar 31 at 20:00






          • 1




            $begingroup$
            @Victor the first equality comes from the moment-generating function of a normal. Take a look here for more details. In general, $mathbbE[e^X] = e^mu + frac12 sigma^2$ holds whenever $X sim mathcalN(mu, sigma^2)$
            $endgroup$
            – RafaelC
            Mar 31 at 20:06















          3












          $begingroup$

          Assuming you are talking about unconditional expectation, in general you have



          $$
          mathbbE[X_t] = mathbbE[e^W_t] = e^mathbbE[W_t] + frac12textVar(W_t)
          $$



          which yields



          $$
          mathbbE[X_t]= e^frac12 t
          $$



          Hence,



          $$ mathbbE[X_2]= e $$






          share|improve this answer









          $endgroup$












          • $begingroup$
            I'm quite new to the theory. What is the name of the first equality and under which hypotheses is it true?
            $endgroup$
            – Victor
            Mar 31 at 20:00






          • 1




            $begingroup$
            @Victor the first equality comes from the moment-generating function of a normal. Take a look here for more details. In general, $mathbbE[e^X] = e^mu + frac12 sigma^2$ holds whenever $X sim mathcalN(mu, sigma^2)$
            $endgroup$
            – RafaelC
            Mar 31 at 20:06













          3












          3








          3





          $begingroup$

          Assuming you are talking about unconditional expectation, in general you have



          $$
          mathbbE[X_t] = mathbbE[e^W_t] = e^mathbbE[W_t] + frac12textVar(W_t)
          $$



          which yields



          $$
          mathbbE[X_t]= e^frac12 t
          $$



          Hence,



          $$ mathbbE[X_2]= e $$






          share|improve this answer









          $endgroup$



          Assuming you are talking about unconditional expectation, in general you have



          $$
          mathbbE[X_t] = mathbbE[e^W_t] = e^mathbbE[W_t] + frac12textVar(W_t)
          $$



          which yields



          $$
          mathbbE[X_t]= e^frac12 t
          $$



          Hence,



          $$ mathbbE[X_2]= e $$







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Mar 31 at 19:52









          RafaelCRafaelC

          1463




          1463











          • $begingroup$
            I'm quite new to the theory. What is the name of the first equality and under which hypotheses is it true?
            $endgroup$
            – Victor
            Mar 31 at 20:00






          • 1




            $begingroup$
            @Victor the first equality comes from the moment-generating function of a normal. Take a look here for more details. In general, $mathbbE[e^X] = e^mu + frac12 sigma^2$ holds whenever $X sim mathcalN(mu, sigma^2)$
            $endgroup$
            – RafaelC
            Mar 31 at 20:06
















          • $begingroup$
            I'm quite new to the theory. What is the name of the first equality and under which hypotheses is it true?
            $endgroup$
            – Victor
            Mar 31 at 20:00






          • 1




            $begingroup$
            @Victor the first equality comes from the moment-generating function of a normal. Take a look here for more details. In general, $mathbbE[e^X] = e^mu + frac12 sigma^2$ holds whenever $X sim mathcalN(mu, sigma^2)$
            $endgroup$
            – RafaelC
            Mar 31 at 20:06















          $begingroup$
          I'm quite new to the theory. What is the name of the first equality and under which hypotheses is it true?
          $endgroup$
          – Victor
          Mar 31 at 20:00




          $begingroup$
          I'm quite new to the theory. What is the name of the first equality and under which hypotheses is it true?
          $endgroup$
          – Victor
          Mar 31 at 20:00




          1




          1




          $begingroup$
          @Victor the first equality comes from the moment-generating function of a normal. Take a look here for more details. In general, $mathbbE[e^X] = e^mu + frac12 sigma^2$ holds whenever $X sim mathcalN(mu, sigma^2)$
          $endgroup$
          – RafaelC
          Mar 31 at 20:06




          $begingroup$
          @Victor the first equality comes from the moment-generating function of a normal. Take a look here for more details. In general, $mathbbE[e^X] = e^mu + frac12 sigma^2$ holds whenever $X sim mathcalN(mu, sigma^2)$
          $endgroup$
          – RafaelC
          Mar 31 at 20:06

















          draft saved

          draft discarded
















































          Thanks for contributing an answer to Quantitative Finance Stack Exchange!


          • Please be sure to answer the question. Provide details and share your research!

          But avoid


          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.

          Use MathJax to format equations. MathJax reference.


          To learn more, see our tips on writing great answers.




          draft saved


          draft discarded














          StackExchange.ready(
          function ()
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fquant.stackexchange.com%2fquestions%2f44854%2fexpectation-in-a-stochastic-differential-equation%23new-answer', 'question_page');

          );

          Post as a guest















          Required, but never shown





















































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown

































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown







          Popular posts from this blog

          Adding axes to figuresAdding axes labels to LaTeX figuresLaTeX equivalent of ConTeXt buffersRotate a node but not its content: the case of the ellipse decorationHow to define the default vertical distance between nodes?TikZ scaling graphic and adjust node position and keep font sizeNumerical conditional within tikz keys?adding axes to shapesAlign axes across subfiguresAdding figures with a certain orderLine up nested tikz enviroments or how to get rid of themAdding axes labels to LaTeX figures

          Luettelo Yhdysvaltain laivaston lentotukialuksista Lähteet | Navigointivalikko

          Gary (muusikko) Sisällysluettelo Historia | Rockin' High | Lähteet | Aiheesta muualla | NavigointivalikkoInfobox OKTuomas "Gary" Keskinen Ancaran kitaristiksiProjekti Rockin' High