Financial Markets

1 / 18
About This Presentation
Title:

Financial Markets

Description:

exercise an American derivative security) ... the length of an interval (or more generally, a Lebesgue set) Density a random variable: ... – PowerPoint PPT presentation

Number of Views:17
Avg rating:3.0/5.0
Slides: 19
Provided by: CDS

less

Transcript and Presenter's Notes

Title: Financial Markets


1
Summery
  • Stopping time t is a time when you can decide
    to stop (or
  • exercise an American derivative security)
  • The value process of an American derivative
    security is a
  • super-matingale
  • It is optimal to exercise an American derivative
    security
  • first time when the value and the payoff are
    the same
  • The initial value of an American derivative
    security can be
  • obtained on the binomial lattice by a backward
    recursion

2
- The Radon-Nikodym theorem
- The state price density process
  • General random variables

3
Radon-Nikodym theorem
There exists a nonnegative random variable Z s.t.
4
Intuitive meaning
  • Discrete case
  • Continuous case

5
Equivalent probability measure
  • Binomial stock process on

- Real probability measure P
(corresponding to p and q)
(corresponding to )
6
Connection between two measures
  • Radon-Nikodym theorem

In particular,
the discounted stock price process is a
martingale
there exists a stochastic process s.t.

is a martingale
7
Radon-Nikodym martingales
state price density process
8
Proof
(Taking in what is known)
(Martingale property)
9
  • The value process of a self-financing portfolio

satisfies
10
(No Transcript)
11
Binomial lattice stock process
12
(No Transcript)
13
(No Transcript)
14
(No Transcript)
15
- Law of a random variable
- Density of a random variable
  • Marginal density, conditional density
  • Normal distribution

16
Law of a random variable
W sample space,
containing all possible outcomes
s-algebra of subsets of W.
P a probability measure on (W, ), a set
function s.t.
  • Random variable

a -measurable function s.t.
where
17
  • Induced measure

X induces a measure on
s.t.
Induced measure,
or the Law of X
  • Lebesgue measure m0 a measure on

providing
the length of an interval (or more generally, a
Lebesgue set)
18
Density a random variable
  • Two measures

m0 and mX on
If m0 gtgt mX,
there exists a random variable fX s.t.
We write
  • X has a density iff m0 gtgt mX,

i.e.,
Write a Comment
User Comments (0)