Hitting time distribution with exponential growth
$begingroup$
Let $A_0=A>0$ and let $$dA_t = (rA_t - x)dt + sigma dB_t,$$ where $B_t$ is standard Brownian motion and $r,x$ and $sigma$ are positive constants. Let $T= inf { t: A_t = 0 }$ and $$G(A)=Bbb{E}[exp(-rT)].$$ How do I find the function $G$? I think
begin{equation}
rG(A)=(rA-x)G'(A)+frac{1}{2}sigma^2G''(A). tag{*}label{eq:1}
end{equation}
Is this correct? Is there a closed-form solution? Clearly, $G(0)=1$. It should also be true that $lim_{A to infty}G(A)=0$.
Also, it should be true that $G'(A)<0$ at all $A>0$. This would mean that $G''$ does not change sign, and so $G$ must be strictly convex. Thus, $G'$ is strictly monotone in $A$ going from some unknown negative number $G'(0)$ to $0$ as $A$ goes to infinity.
One way to try and solve eqref{eq:1} could be to change the independent variable to $G'$. If we denote $G'=frac{dG}{dA}$ by $M$, we have
$$frac{dA}{dM} = frac{1}{G''}=frac{frac{1}{2}sigma^2}{rG-(rA-x)M}$$
and
$$frac{dG}{dM} = frac{M}{G''}=frac{frac{1}{2}sigma^2M}{rG-(rA-x)M},$$
which could be a solvable system of first-order equations.
Further, if we denote $rG-(rA-x)M$ by $S$, we can transform the above system in $(A(M),G(M))$ into a system in $(A(M),S(M))$ with
$$frac{dA}{dM} =frac{frac{1}{2}sigma^2}{S}$$
and
$$frac{dS}{dM} =rfrac{dG}{dM}-rfrac{dA}{dM}M - (rA-x)=- (rA-x),$$
where we have used $frac{dG}{dM}=frac{frac{1}{2}sigma^2M}{S}=frac{dA}{dM}M$. This system should be solvable by separation of variables.
In particular, we have
$$
S=Cexpleft(-{frac{frac{1}{2}rA^2-xA}{frac{1}{2}sigma^2}}right),
$$
which can be verified by differentiation. The constant of integration $C$ satisfies $C=r+xM(0)$, where $M(0)=G'(0)$ is the slope of $G$ at $A=0$.
I think I should be able to integrate $S$ to recover $M$ and then integrate $M$ to recover $G$, but I'm stuck.
Any help with this problem will be very much appreciated. Thanks!
ordinary-differential-equations brownian-motion stopping-times
$endgroup$
add a comment |
$begingroup$
Let $A_0=A>0$ and let $$dA_t = (rA_t - x)dt + sigma dB_t,$$ where $B_t$ is standard Brownian motion and $r,x$ and $sigma$ are positive constants. Let $T= inf { t: A_t = 0 }$ and $$G(A)=Bbb{E}[exp(-rT)].$$ How do I find the function $G$? I think
begin{equation}
rG(A)=(rA-x)G'(A)+frac{1}{2}sigma^2G''(A). tag{*}label{eq:1}
end{equation}
Is this correct? Is there a closed-form solution? Clearly, $G(0)=1$. It should also be true that $lim_{A to infty}G(A)=0$.
Also, it should be true that $G'(A)<0$ at all $A>0$. This would mean that $G''$ does not change sign, and so $G$ must be strictly convex. Thus, $G'$ is strictly monotone in $A$ going from some unknown negative number $G'(0)$ to $0$ as $A$ goes to infinity.
One way to try and solve eqref{eq:1} could be to change the independent variable to $G'$. If we denote $G'=frac{dG}{dA}$ by $M$, we have
$$frac{dA}{dM} = frac{1}{G''}=frac{frac{1}{2}sigma^2}{rG-(rA-x)M}$$
and
$$frac{dG}{dM} = frac{M}{G''}=frac{frac{1}{2}sigma^2M}{rG-(rA-x)M},$$
which could be a solvable system of first-order equations.
Further, if we denote $rG-(rA-x)M$ by $S$, we can transform the above system in $(A(M),G(M))$ into a system in $(A(M),S(M))$ with
$$frac{dA}{dM} =frac{frac{1}{2}sigma^2}{S}$$
and
$$frac{dS}{dM} =rfrac{dG}{dM}-rfrac{dA}{dM}M - (rA-x)=- (rA-x),$$
where we have used $frac{dG}{dM}=frac{frac{1}{2}sigma^2M}{S}=frac{dA}{dM}M$. This system should be solvable by separation of variables.
In particular, we have
$$
S=Cexpleft(-{frac{frac{1}{2}rA^2-xA}{frac{1}{2}sigma^2}}right),
$$
which can be verified by differentiation. The constant of integration $C$ satisfies $C=r+xM(0)$, where $M(0)=G'(0)$ is the slope of $G$ at $A=0$.
I think I should be able to integrate $S$ to recover $M$ and then integrate $M$ to recover $G$, but I'm stuck.
Any help with this problem will be very much appreciated. Thanks!
ordinary-differential-equations brownian-motion stopping-times
$endgroup$
add a comment |
$begingroup$
Let $A_0=A>0$ and let $$dA_t = (rA_t - x)dt + sigma dB_t,$$ where $B_t$ is standard Brownian motion and $r,x$ and $sigma$ are positive constants. Let $T= inf { t: A_t = 0 }$ and $$G(A)=Bbb{E}[exp(-rT)].$$ How do I find the function $G$? I think
begin{equation}
rG(A)=(rA-x)G'(A)+frac{1}{2}sigma^2G''(A). tag{*}label{eq:1}
end{equation}
Is this correct? Is there a closed-form solution? Clearly, $G(0)=1$. It should also be true that $lim_{A to infty}G(A)=0$.
Also, it should be true that $G'(A)<0$ at all $A>0$. This would mean that $G''$ does not change sign, and so $G$ must be strictly convex. Thus, $G'$ is strictly monotone in $A$ going from some unknown negative number $G'(0)$ to $0$ as $A$ goes to infinity.
One way to try and solve eqref{eq:1} could be to change the independent variable to $G'$. If we denote $G'=frac{dG}{dA}$ by $M$, we have
$$frac{dA}{dM} = frac{1}{G''}=frac{frac{1}{2}sigma^2}{rG-(rA-x)M}$$
and
$$frac{dG}{dM} = frac{M}{G''}=frac{frac{1}{2}sigma^2M}{rG-(rA-x)M},$$
which could be a solvable system of first-order equations.
Further, if we denote $rG-(rA-x)M$ by $S$, we can transform the above system in $(A(M),G(M))$ into a system in $(A(M),S(M))$ with
$$frac{dA}{dM} =frac{frac{1}{2}sigma^2}{S}$$
and
$$frac{dS}{dM} =rfrac{dG}{dM}-rfrac{dA}{dM}M - (rA-x)=- (rA-x),$$
where we have used $frac{dG}{dM}=frac{frac{1}{2}sigma^2M}{S}=frac{dA}{dM}M$. This system should be solvable by separation of variables.
In particular, we have
$$
S=Cexpleft(-{frac{frac{1}{2}rA^2-xA}{frac{1}{2}sigma^2}}right),
$$
which can be verified by differentiation. The constant of integration $C$ satisfies $C=r+xM(0)$, where $M(0)=G'(0)$ is the slope of $G$ at $A=0$.
I think I should be able to integrate $S$ to recover $M$ and then integrate $M$ to recover $G$, but I'm stuck.
Any help with this problem will be very much appreciated. Thanks!
ordinary-differential-equations brownian-motion stopping-times
$endgroup$
Let $A_0=A>0$ and let $$dA_t = (rA_t - x)dt + sigma dB_t,$$ where $B_t$ is standard Brownian motion and $r,x$ and $sigma$ are positive constants. Let $T= inf { t: A_t = 0 }$ and $$G(A)=Bbb{E}[exp(-rT)].$$ How do I find the function $G$? I think
begin{equation}
rG(A)=(rA-x)G'(A)+frac{1}{2}sigma^2G''(A). tag{*}label{eq:1}
end{equation}
Is this correct? Is there a closed-form solution? Clearly, $G(0)=1$. It should also be true that $lim_{A to infty}G(A)=0$.
Also, it should be true that $G'(A)<0$ at all $A>0$. This would mean that $G''$ does not change sign, and so $G$ must be strictly convex. Thus, $G'$ is strictly monotone in $A$ going from some unknown negative number $G'(0)$ to $0$ as $A$ goes to infinity.
One way to try and solve eqref{eq:1} could be to change the independent variable to $G'$. If we denote $G'=frac{dG}{dA}$ by $M$, we have
$$frac{dA}{dM} = frac{1}{G''}=frac{frac{1}{2}sigma^2}{rG-(rA-x)M}$$
and
$$frac{dG}{dM} = frac{M}{G''}=frac{frac{1}{2}sigma^2M}{rG-(rA-x)M},$$
which could be a solvable system of first-order equations.
Further, if we denote $rG-(rA-x)M$ by $S$, we can transform the above system in $(A(M),G(M))$ into a system in $(A(M),S(M))$ with
$$frac{dA}{dM} =frac{frac{1}{2}sigma^2}{S}$$
and
$$frac{dS}{dM} =rfrac{dG}{dM}-rfrac{dA}{dM}M - (rA-x)=- (rA-x),$$
where we have used $frac{dG}{dM}=frac{frac{1}{2}sigma^2M}{S}=frac{dA}{dM}M$. This system should be solvable by separation of variables.
In particular, we have
$$
S=Cexpleft(-{frac{frac{1}{2}rA^2-xA}{frac{1}{2}sigma^2}}right),
$$
which can be verified by differentiation. The constant of integration $C$ satisfies $C=r+xM(0)$, where $M(0)=G'(0)$ is the slope of $G$ at $A=0$.
I think I should be able to integrate $S$ to recover $M$ and then integrate $M$ to recover $G$, but I'm stuck.
Any help with this problem will be very much appreciated. Thanks!
ordinary-differential-equations brownian-motion stopping-times
ordinary-differential-equations brownian-motion stopping-times
edited Dec 31 '18 at 0:50
J.Doe
asked Dec 14 '18 at 2:32
J.DoeJ.Doe
63
63
add a comment |
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "69"
};
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: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
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
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3038856%2fhitting-time-distribution-with-exponential-growth%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
Thanks for contributing an answer to Mathematics 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.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3038856%2fhitting-time-distribution-with-exponential-growth%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
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