• We are pleased to announce that the winner of our Feedback Prize Draw for the Winter 2024-25 session and winning £150 of gift vouchers is Zhao Liang Tay. Congratulations to Zhao Liang. If you fancy winning £150 worth of gift vouchers (from a major UK store) for the Summer 2025 exam sitting for just a few minutes of your time throughout the session, please see our website at https://www.acted.co.uk/further-info.html?pat=feedback#feedback-prize for more information on how you can make sure your name is included in the draw at the end of the session.
  • Please be advised that the SP1, SP5 and SP7 X1 deadline is the 14th July and not the 17th June as first stated. Please accept out apologies for any confusion caused.

Brownian - Weiner - understand logic

R

rcaus

Member
Dear Hubbers,

From student reviews, Brownian / Weiner is quite confusing but important for pricing of option ( Black SM) . I decided to get a kick start last month and spent lots of time on internet research , BPP manual and stochastic calculus book . Despite that I have previously the subject of " options , money market" yet only in actuarial exam you need to understand formulas and their proof etc.

I can understand the concept and work some of the question but it appears that I am parrot learning. Pls clarify some of the logics for me.

Random walk > fine to me with the e.g of coin, pollen, drunk man.
Qu 1) Xn(t) >> does the X for one pollen and then n stands for a huge amount of pollen( or infinity)
Qu2 ) If time t tend to s . Does it also tned to infinity.
Qu3 > Does both t ( time) and n ( pollen) tend to infinity.
Qu4 > Per the book I cannot understand which one comes first one pollen in relation to time and then add n pollen or vice-versa

Brownian / Weiner

We often see these terms

dX(t) = αdt + σdZ(t)

Qu 1) Is it the same pollen e.g but why we also have a dZ(t)

Qu 2) Is this also same as dS(t) = αdt + σdZ(t) except that its adapted to share price S(t)

Qu2) If Z(t) is a brownian it is also a martingale.

Qu3) To confuse me more I often see B(t) and also W(t)


Pls help me to understand

Regards
RCaus
 
Qu 1) Is it the same pollen e.g but why we also have a dZ(t)

Qu 2) Is this also same as dS(t) = αdt + σdZ(t) except that its adapted to share price S(t)

Qu2) If Z(t) is a brownian it is also a martingale.

Qu3) To confuse me more I often see B(t) and also W(t)

A1) not sure but i think dZt is the random/diffusion term.

A2) Think it's suppose to be dS(t) = S[dt + σdZ(t)]. Maybe someone can verify.

A3) I guess, Yes.
A4) B(t) = standard brownian motion, with drift = 0, diffusion = 1

W(t) on the other hand is general brownian motion. You may think of these as, standard normal distribution and the general normal distribution where the standard one has mean = 0, std dev = 1, whereas the general one is mean = mu and std dev = sigma.
 
Back
Top