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1 vote
0 answers
37 views

ARCH-Vasicek model closed-form solution

I understand how we can obtain the solution of Vasicek model $dr_t=\alpha(\mu-r_t)dt+\sigma dW_t$: $$ r_t=r_0e^{-\alpha t}+\mu(1-e^{-\alpha t})+\sigma\int_0^te^{-\alpha(t-s)dW_{s}} $$ This easily ...
KiNest's user avatar
  • 11
0 votes
1 answer
372 views

Expected value of Ornstein-Uhlenbeck process

In the paper "The Impact of Jumps in Volatility and Returns" by Nicholas Polson, Bjorn Eraker, and Michael Johannes (2003), the authors state in footnote 6 on page 1273 that, given an ...
Roberto Palermo's user avatar
1 vote
1 answer
40 views

Extracting a conditional density from a formula involving 2 stochastic integrals

I have a problem coming from a financial maths application, that involves trying to extract the conditional density of a variable expressed as an integral over a Brownian motion, conditioned on ...
Tom Weston's user avatar
1 vote
1 answer
106 views

Expectation of stock price that follows a stochastic differential equation

Let the price $S_t$ of an asset satisfy $dS_t = \alpha (\mu - \ln{S_t})S_tdt + \sigma S_t dW_t$, where $W_t$ is a Brownian motion. I managed to show that $x_T = x_te^{-b(T-t)} + \frac{a}{b}(1 - e^{-b(...
Iamtrying's user avatar
  • 167
0 votes
0 answers
122 views

Pathwise differentiation under integrated measurement (stochastic volatility) models.

Setup Consider the (general) stochastic volatility model \begin{align} \mathrm{d}X_t &= \mu^X(X_t)\mathrm{d}t + \sigma^X(X_t)\mathrm{d}W^X_t \\ \mathrm{d}Y_t &= \mu^Y(X_t)\mathrm{d}t + ...
Adrien Corenflos's user avatar
0 votes
1 answer
88 views

How to derive the HJM drift condition?

I'm trying to derive the Heath Jarrow Morton drift condition (from Björk, page 298) and this equation is the part that I'm not able to derive: $$ A(t,T) + \frac{1}{2} ||S(t,T)||^2 = \sum_{i=0}^d S_i(t,...
coffee-raid's user avatar
0 votes
1 answer
170 views

Pricing a call option in the Black Scholes Market - calculation steps

I am working on computing the price of a standard European call option under a Black-Scholes market. Using knowledge of the payoff, I can split the calculation into: $ e^{-rT}(E[S_t] \mathbb{1}_{S_T &...
jinx's user avatar
  • 145
2 votes
1 answer
1k views

How to solve the simple Ito (stochastic) integral over Brownian motion via the Ito formula?

Question: Let $X(t)=\int_0^t W(s)dW(s)$ where $W(t)$ is the Brownian motion (Wiener process). What function $f(X(t))$ of $X(t)$ can be used with the Itô formula to get the explicit result $X(t)=\frac{...
PaulG's user avatar
  • 153
0 votes
0 answers
33 views

Stochastic differential notation in Standard Brownian Market Models

I am trying to become familiar with stochastic integration and stochastic differential notation. I tried to do the following little exercise. In my lecture notes the risky Asset is defined in the ...
ez43eg's user avatar
  • 63
3 votes
1 answer
282 views

Quadratic variation of a stochastic integral w.r.t. a local martingale

I am trying to prove the (seemingly simple) property: for a continuous local martingale $M$ and an $M$-integrable process $H$, the quadratic variation $\langle\int H\,dM\rangle$ of $\int H\,dM$ is ...
joinijo's user avatar
  • 249
4 votes
2 answers
348 views

Finding Option Probability Density Using Local Volatility from Dupire Model

This question is different than https://quant.stackexchange.com/questions/31050/pricing-using-dupire-local-volatility-model I am reading about the Dupire local volatility model. I have found ways to ...
curious123456789's user avatar
2 votes
1 answer
227 views

False proof: Every continuous-time financial market has arbitrage.

We know that many continuous-time financial markets do not have arbitrage. But I have created a proof which shows a very large class of them has arbitrage, so there must be a mistake in the proof. ...
user394334's user avatar
  • 1,262
0 votes
1 answer
160 views

Zero coupon bond price dynamics under HJM Model

I am reading this article: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3330240 and am trying to figure out what is written in the appendix, pages 22 and 23 They wrote: \begin{align*} R_j(t) &...
mStudent's user avatar
  • 133
6 votes
1 answer
343 views

Advantages of pathwise stochastic integrals over standard Itô integrals

I am currently reading about Föllmer's construction of a stochastic Integral that is defined in a pathwise sense. But I am not sure what exactly the purpose of such a construction is. The main ...
El Duderino's user avatar
3 votes
1 answer
78 views

Compute $\mathbb{E}(\int_{0}^{T} |B_{t}|^{2} dt)$

For $(B_t)_{t\geq0}$ a standard brownian motion and $T$ the first time the standard brownian motion hits $1$ or $-1$ I have to compute $\mathbb{E}(\int_{0}^{T} |B_{t}|^{2} dt)$. My lecturer has given ...
Albus's user avatar
  • 141

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