Financial Markets

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Financial Markets

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is a martingale based on the APT. The binomial lattice model is complete, i.e., it is hedgeable. ... The APT value of a European derivative security is computed ... – PowerPoint PPT presentation

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Title: Financial Markets


1
Summery of arbitrage pricing
  • Under risk neutral probability measure, the
    discounted stock
  • price and portfolio processes are martingales
  • The binomial lattice model is complete, i.e., it
    is hedgeable.
  • The discounted value process of a European
    derivative security
  • is a martingale based on the APT.

2
Summery of Markov property
  • A stochastic process Xk is said to be Markov
    if the distribution
  • of Xk1 conditioned on X0 ,., Xk is the same
    as the distribution
  • of Xk1 conditioned on Xk only.
  • A process with independent increments is a
    Markov process
  • Conditional expectation of h(Xk1) can be
    computed as a function
  • of Xk if the underlying stochastic process is
    Markov
  • The APT value of a European derivative security
    is computed
  • on lattice backward based on the Markov property

3
- Stopping times and American options
- Properties of value processes of American
options
  • The Radon-Nikodym Theorem and the state price
    density
  • process

4
American options
  • European option (with an expiration N and a
    strike price K)

You can exercise the option at the expiration only
  • American option

You can exercise the option at any time until the
expiration
- You have an additional choice
When is the optimal to exercise?
5
Pricing and hedging American options
- g(Sk) the payoff of an American option
- Vk the value of an American option
  • We solve an backward recursion algorithm on the
    binomial
  • lattice with the above constraint

6
Binomial lattice pricing model
2. Keep it until time N (next step)
7
Binomial lattice pricing model
K - uSN-1
VN-1?
K - dSN-1
Step 1 Find the value of European put at time N
- 1
8
(No Transcript)
9
Stopping time
  • t is a time when you can decide to stop playing
    our game.
  • Whether or not you stop immediately after the
    kth game
  • depends only on the history up to (and
    including) k

10
Examples
- Convince yourself t2 can not be a stopping
time.
11
Examples
  • It is reasonable to think that t1 is a stopping
    time

- I will quite this game first time when I lose
10 box
- I will retire as soon as I finish paying the
mortgage
  • I will quit finding a job as soon as I find a
    company
  • which pays more than 5 digit
  • Be careful!
  • I wont stop gambling at Las Vegas until I
    become a
  • millionaire

It might work, but t can be infinite.
12
Information up to a Stopping time
13
Stop at time k j what ever happens
14
Value of stochastic process at a stopping time
The result follows that,
15
H go up
T go up
- The value of Xk on each circle is Xt
16
Stopped martingales
Proof
17
Martingales on the information up to a stopping
time
Proof
We first note that
18
  • An estimate of XN given this information is Xt ,
    a value
  • to stop, if Xk is a martingale

19
  • Assume that we have
  • another stopping time,

stop at time N
  • We want to estimate XN
  • based on the information up
  • to the other stopping time t
  • This estimate is given by Xt
  • if Xk is a martingale

- In particular,
20
Optimal Sampling Theorem (OST)
  • More generally,

21
  • We want to estimate Xr
  • based on the information up
  • to the other stopping time t
  • This estimate is given by Xt
  • if Xk is a martingale

- In particular,
22
OST for super-, sub-, martingale cases
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