Question on Gÿongy' lemma proof Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern) Announcing the arrival of Valued Associate #679: Cesar Manara Unicorn Meta Zoo #1: Why another podcast?Deterministic interpretation of stochastic differential equationquestion on Leif Andersen's “Interest Rate Modeling, vol 2 Term Structure Models”Ito, Stochastic Exponential and GirsanovDupire's formula proofIs the 'constant weight in the risky asset' portfolio-strategy self-financing?Ito representation unique up to indistinguishability? Proof?Calculating the stochastic integral of $exp(-rt)S_t$Conditional Expectation with Indicator Functions for Poisson Process First Jump Time (Option Pricing PDE)On quadratic covariationDerivation and expectation interchange
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Question on Gÿongy' lemma proof
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)
Announcing the arrival of Valued Associate #679: Cesar Manara
Unicorn Meta Zoo #1: Why another podcast?Deterministic interpretation of stochastic differential equationquestion on Leif Andersen's “Interest Rate Modeling, vol 2 Term Structure Models”Ito, Stochastic Exponential and GirsanovDupire's formula proofIs the 'constant weight in the risky asset' portfolio-strategy self-financing?Ito representation unique up to indistinguishability? Proof?Calculating the stochastic integral of $exp(-rt)S_t$Conditional Expectation with Indicator Functions for Poisson Process First Jump Time (Option Pricing PDE)On quadratic covariationDerivation and expectation interchange
$begingroup$
I have some questions regarding a proof of Gÿongy's lemma given in 1
I would like to understand the following passage:
$$
int_s=t_0^s=tmathbbEleft[delta(X_s-K)langle dX_srangle^2 right]=
int_s=t_0^s=tmathbbEleft[delta(X_s-K) right] mathbbEleft[langle dX_srangle^2|X_s=K right]
$$
Thanks
stochastic-calculus
$endgroup$
add a comment |
$begingroup$
I have some questions regarding a proof of Gÿongy's lemma given in 1
I would like to understand the following passage:
$$
int_s=t_0^s=tmathbbEleft[delta(X_s-K)langle dX_srangle^2 right]=
int_s=t_0^s=tmathbbEleft[delta(X_s-K) right] mathbbEleft[langle dX_srangle^2|X_s=K right]
$$
Thanks
stochastic-calculus
$endgroup$
add a comment |
$begingroup$
I have some questions regarding a proof of Gÿongy's lemma given in 1
I would like to understand the following passage:
$$
int_s=t_0^s=tmathbbEleft[delta(X_s-K)langle dX_srangle^2 right]=
int_s=t_0^s=tmathbbEleft[delta(X_s-K) right] mathbbEleft[langle dX_srangle^2|X_s=K right]
$$
Thanks
stochastic-calculus
$endgroup$
I have some questions regarding a proof of Gÿongy's lemma given in 1
I would like to understand the following passage:
$$
int_s=t_0^s=tmathbbEleft[delta(X_s-K)langle dX_srangle^2 right]=
int_s=t_0^s=tmathbbEleft[delta(X_s-K) right] mathbbEleft[langle dX_srangle^2|X_s=K right]
$$
Thanks
stochastic-calculus
stochastic-calculus
asked 2 hours ago
AguelmameAguelmame
411
411
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1 Answer
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$begingroup$
If $X_s neq K $ then the delta function gives zero, and the product is zero. So the term only contributes when $X_s=K$.
$endgroup$
add a comment |
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$begingroup$
If $X_s neq K $ then the delta function gives zero, and the product is zero. So the term only contributes when $X_s=K$.
$endgroup$
add a comment |
$begingroup$
If $X_s neq K $ then the delta function gives zero, and the product is zero. So the term only contributes when $X_s=K$.
$endgroup$
add a comment |
$begingroup$
If $X_s neq K $ then the delta function gives zero, and the product is zero. So the term only contributes when $X_s=K$.
$endgroup$
If $X_s neq K $ then the delta function gives zero, and the product is zero. So the term only contributes when $X_s=K$.
answered 43 mins ago
Magic is in the chainMagic is in the chain
1,07915
1,07915
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