Uranium trioxide: Difference between revisions

From formulasearchengine
Jump to navigation Jump to search
en>Whoop whoop pull up
 
en>Leyo
Reverted 1 edit by Rin yagami (talk): ??? (TW)
Line 1: Line 1:
Hi there. Allow me start by introducing the author, her name is Myrtle Cleary. Playing baseball is the pastime he will by no means quit performing. For a while I've been in South Dakota and my parents live close by. I am a meter reader.<br><br>Feel free to visit my web page: at home std testing ([http://welkinn.com/profile-17521/info/ additional resources])
In [[probability theory]], the '''martingale representation theorem''' states that a random variable that is measurable with respect to the [[Filtration (mathematics)#Measure theory|filtration]] generated by a [[Brownian motion]] can be written in terms of an [[Itô integral]] with respect to this Brownian motion.
 
The theorem only asserts the existence of the representation and does not help to find it explicitly; it is possible in many cases to determine the form of the representation using [[Malliavin calculus]].
 
Similar theorems also exist for [[Martingale (probability theory)|martingales]] on filtrations induced by jump processes, for example, by [[Markov chain]]s.
 
==Statement of the theorem==
Let <math>B_t</math> be a [[Brownian motion]] on a standard [[filtered probability space]] <math>(\Omega, \mathcal{F},\mathcal{F}_t, P )</math> and let <math>\mathcal{G}_t</math> be the [[augmentation of the filtration]] generated by <math>B</math>. If ''X'' is a square integrable random variable measurable with respect to <math>\mathcal{G}_\infty</math>, then there exists a [[predictable process]] ''C'' which is [[adapted process|adapted]] with respect to <math>\mathcal{G}_t</math>, such that
 
:<math>X = E(X) + \int_0^\infty C_s\,dB_s.</math>
 
Consequently
 
:<math> E(X| \mathcal{G}_t) = E(X) + \int_0^t C_s \, d B_s.</math>
 
==Application in finance==
The martingale representation theorem can be used to establish the existence
of a hedging strategy.
Suppose that <math>\left ( M_t \right )_{0 \le t < \infty}</math> is a Q-martingale process, whose volatility <math>\sigma_t</math> is always non-zero.
Then, if <math>\left ( N_t \right )_{0 \le t < \infty}</math> is any other Q-martingale, there exists an <math>\mathcal{F}</math>-previsible process <math>\phi</math>, unique up to sets of measure 0, such that <math>\int_0^T \phi_t^2 \sigma_t^2 \, dt < \infty</math> with probability one, and ''N'' can be written as:
 
:<math>N_t = N_0 + \int_0^t \phi_s\, d M_s.</math>
 
The replicating strategy is defined to be:
* hold <math>\phi_t</math> units of the stock at the time ''t'', and
* hold <math>\psi_t B_t =  C_t - \phi_t Z_t</math> units of the bond.
where <math>Z_t</math> is the stock price discounted by the bond price to time <math>t</math> and <math>C_t</math> is the expected payoff of the option at time <math>t</math>.
 
At the expiration day ''T'', the value of the portfolio is:
:<math>V_T = \phi_T S_T + \psi_T B_T = C_T = X</math>
 
and it's easy to check that the strategy is self-financing: the change in the value of the portfolio only depends on the change of the asset prices <math>\left ( dV_t = \phi_t d S_t + \psi_t\, d B_t \right ) </math>.
 
{{inline|date=October 2011}}
 
==References==
*Montin, Benoît. (2002) "Stochastic Processes Applied in Finance" {{full|date=November 2012}}
*[[Robert J. Elliott|Elliott, Robert]] (1976) "Stochastic Integrals for Martingales of a Jump Process with Partially Accessible Jump Times", ''Zeitschrift fuer Wahrscheinlichkeitstheorie und verwandte Gebiete'', 36, 213-226
 
[[Category:Martingale theory]]
[[Category:Probability theorems]]

Revision as of 15:14, 14 August 2013

In probability theory, the martingale representation theorem states that a random variable that is measurable with respect to the filtration generated by a Brownian motion can be written in terms of an Itô integral with respect to this Brownian motion.

The theorem only asserts the existence of the representation and does not help to find it explicitly; it is possible in many cases to determine the form of the representation using Malliavin calculus.

Similar theorems also exist for martingales on filtrations induced by jump processes, for example, by Markov chains.

Statement of the theorem

Let Bt be a Brownian motion on a standard filtered probability space (Ω,,t,P) and let 𝒢t be the augmentation of the filtration generated by B. If X is a square integrable random variable measurable with respect to 𝒢, then there exists a predictable process C which is adapted with respect to 𝒢t, such that

X=E(X)+0CsdBs.

Consequently

E(X|𝒢t)=E(X)+0tCsdBs.

Application in finance

The martingale representation theorem can be used to establish the existence of a hedging strategy. Suppose that (Mt)0t< is a Q-martingale process, whose volatility σt is always non-zero. Then, if (Nt)0t< is any other Q-martingale, there exists an -previsible process ϕ, unique up to sets of measure 0, such that 0Tϕt2σt2dt< with probability one, and N can be written as:

Nt=N0+0tϕsdMs.

The replicating strategy is defined to be:

where Zt is the stock price discounted by the bond price to time t and Ct is the expected payoff of the option at time t.

At the expiration day T, the value of the portfolio is:

VT=ϕTST+ψTBT=CT=X

and it's easy to check that the strategy is self-financing: the change in the value of the portfolio only depends on the change of the asset prices (dVt=ϕtdSt+ψtdBt).

Template:Inline

References

  • Montin, Benoît. (2002) "Stochastic Processes Applied in Finance" Template:Full
  • Elliott, Robert (1976) "Stochastic Integrals for Martingales of a Jump Process with Partially Accessible Jump Times", Zeitschrift fuer Wahrscheinlichkeitstheorie und verwandte Gebiete, 36, 213-226