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Questions tagged [brownian-motion]

In mathematics, Brownian motion is described by the Wiener process; a continuous-time stochastic process named in honor of Norbert Wiener.

1 vote
2 answers
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I'm trying to visualize the path transformations coming from the application of the Girsanov Theorem in a Monte Carlo Simulation. Below the (Python) code where I'm trying to "adjust" the ...
Enrico's user avatar
  • 455
1 vote
0 answers
78 views

I want to find the joint distribution of 2 correlated Brownian motions, $X$ and $Y$, at time $T$ after crossing boundaries $a<0$ and $b<0$ respectively with initial values $X_0=Y_0=0$, drifts $\...
user1428964's user avatar
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0 answers
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I am simulating barrier option pricing by implementing Fractional Brownian Motion (Cholesky decomposition approach). Is the adjustment of the Riemann correction of the barrier by the Hurst exponent ...
Jack Thorn's user avatar
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0 answers
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Playing around with the idea of controlling the dynamics between two processes. There are some papers around this building on the SDE $\frac{dS}{S} = \alpha (\mu - \ln S)dt + \sigma dW_{t}$ (Schwartz) ...
user13655's user avatar
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0 answers
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I've been learning about quantitative finance for the past few months, though I’m still far from an expert. I’ve read about applications of Black-Scholes concepts outside traditional financial options....
Guest30's user avatar
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0 answers
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I am trying to implement a standard stretched Brownian motion 1,2in Python. This requires finding a fixed point of the equation $\mathcal{A}:CDF \to CDF$, $\mathcal{A}F = F_\mu \circ(\phi*(Q_\nu \circ(...
Timo R.'s user avatar
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0 answers
132 views

Consider two correlated Brownian Motions $W_{1,t}$ and $W_{2,t}$ for which it holds: $$dW_{1,t}\sim N(0, \sqrt{dt})$$ $$dW_{2,t}\sim N(0, \sqrt{dt})$$ $$Cov(dW_{1,t},dW_{2,t}) = E[dW_{1,t}dW_{2,t}] = \...
Whitebeard13's user avatar
1 vote
0 answers
57 views

In this problem we assume the interest rate $r=0$. I have a European contingent claim with maturity $T$ and payout $$Y = S_T 1_{\{S_T \leq K\}} - K1_{\{S_T > K\}}$$ I need to show that the initial ...
idk31909310's user avatar
1 vote
0 answers
104 views

Brownian Bridge, denoted $B_t$ can be described as a Brownian motion pinned at zero and $T$, with the following mathematical definition: $$B_t=W_t-\frac{t}{T}W_T$$ From the above, we can deduce that $\...
Conductor's user avatar
  • 137
0 votes
1 answer
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I want to solve an SDE: $$ dX_t=X^3_t\,dt+X^2_t\,dB_t, $$ with $X_0$=1. In my understanding (I'm currently using J. Michael Steele's textbook "Stochastic calculus and financial applications")...
MitchCL's user avatar
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0 answers
64 views

I'm currently working on a stock market prediction project using Geometric Brownian Motion (GBM). My goal is to showcase that GBM, as a stochastic model, does not require a large dataset compared to ...
Jien Weng's user avatar
2 votes
1 answer
106 views

I am trying to derive some properties of geometric brownian motion: $dS_t = \mu S_t dt + \sigma S_t dW_t$ I am interested in analyzing paths that 'survive' a lower boundary $X$ i.e. always stay above $...
bitflip's user avatar
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1 vote
1 answer
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I typically see people define realized variance as the squared difference in log returns, i.e. $$RVar = \frac{1}{T} \sum_{n=1}^N \log \left( \frac{S_{n}}{S_{n-1}} \right)^2$$ where $t_n - t_{n-1} = \...
aarongroff's user avatar
4 votes
4 answers
586 views

Show that $$E \left[ \int_s^t W_u \, du \,|\, \mathcal{F}_s \right] = (t - s) W_s$$ where $W_u$ is a standard Brownian motion and $\mathcal{F}_s$ is the filtration up to time $s $.
solid's user avatar
  • 298
0 votes
1 answer
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Suppose I have a process that follows an arithmetic brownian motion $dX_t = \sigma dW_t$ How do I calculate, within a certain interval $\Delta t$ , the expected number of times that the process will &...
rudinable's user avatar
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