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5 votes
Accepted

markov property for stochastic differential equation

Here, we assume that \begin{align*} g(t, x) = \mathbb{E}\left(h(X_T) \mid X_t = x \right). \end{align*} Note that, by Shiryaev, $g(t, x)$ is a Borel measurable function such that, for any Borel ...
Gordon's user avatar
  • 21.3k
3 votes
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Use of markov process in option pricing

The Markov property dictates that the future states of a stochastic process only depend on its current state, not any previous states. In a discrete setting, this can be written as: $$\mathbb{P}(X_{n+...
Jan Stuller's user avatar
  • 6,515
3 votes

Prove that $E[g(X_T)|\mathscr F_t] = E[g(X_T)|X_t]$

This is a corollary of Feynman-Kac theorem. For self-containedness, I re-produce the proof as follows. Assume that there exists a $C^{1,2}$-function $F=F(t,x)$ defined on $[0,T]\times\mathbb{R}$ that ...
Danny Pak-Keung Chan's user avatar
3 votes
Accepted

When predicting Forex price using HMM what, typically, are the states and what are the observations?

Your decision. You can define the states to be "positive return" or "negative return". So if the return is negative, then its state would be that "negative return". Or, you could even model them ...
xav's user avatar
  • 46
2 votes
Accepted

Non-recombining lattice in non-markovian models

I think I might have found the solution to my own question. The Markov property as stated above has no direct relation with the recombination of the approximating lattice. However, if we consider the &...
Matteo Campagnoli's user avatar
2 votes
Accepted

Markov switching regime for stock returns

Two things to note: First you are assuming that stock returns follow some type of AR(1) which I do not think is a reasonable model; Casting consideration (1) aside, you can estimate what you want by ...
phdstudent's user avatar
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2 votes
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Continuous-time two-state Markov process

This is a continuous-time Markov chain with rate matrix $$Q=\begin{pmatrix} -\mu_H & \mu_H\\ \mu_L & -\mu_L \end{pmatrix}.$$ The transition matrix associated with going from time $t$ to time $...
Wei's user avatar
  • 237
1 vote

How can I 'quantize' a time-series in 'groups' exhibiting similar patterns?

Regime detection with hidden Markov model: http://scikit-learn.sourceforge.net/stable/modules/hmm.html
Lipton's user avatar
  • 194
1 vote
Accepted

Why does the Weak Form of Market Efficiency and Markov Property hold?

The weak form of the efficient market hypothesis (EMH) just says that the market is efficient to all prior information contained within price. By definition, the weak form of EMH obeys the Markov ...
David Addison's user avatar
1 vote

Why Markov Functional Models (Hunt 2000) are not yet so popular?

The Markov-functional model is widely used by dealers around the Street in particular for Bermudan swaptions. So we cannot say it is not popular. Of course, there has been some criticisms since its ...
JUW's user avatar
  • 49
1 vote

Why Markov Functional Models (Hunt 2000) are not yet so popular?

In context of Bermudan Options, I believe that since the model determines everything exogenously, calibrating to swaptions may give you cases where the implied forward rate is negatively correlated to ...
Arshdeep's user avatar
  • 2,561

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