(the RP part; click here
get ot the more official DTU home-page)
Aftermath of the Wednesday November 21-lectures
A note (or
a pdf-note) with some of the
stuff I said at the lectures on November 21. Latest
update: Thursday November 22.
You can also
get the paper the "Planning Your Own Debt"
(in pdf-format too) by Søren and myself.
Aftermath of the Wednesday November 14-lectures
A note (or
a pdf-note) with some of the
stuff I said at the lectures on November 14.
An Excel-file illustrating how (easily)
the forward fitting algorithm works. And how to price callable bonds, too.
Suggestions for final projects (RP)
-
One suggestion
(or in pdf).(Lastest update: Tuesday November 13.)
A paper by Rubinstein is mentioned;
you can get that here (in Word-format only;
ask me for a hard copy if "push comes to shove").
- Another suggestion
(or in pdf).
(Lastest update: Wednesday November 14.)
- Lo & behold -- there's a third suggestion
too
(or in pdf).
(Lastest update: Tuesday November 13.)
You can get the Excel-file with Danish term-structures
here), and the mentioned paper by Lando
here (or
here).
The suggestions are fairly ambitious; I don't seriously expect you to
do all the investigations I outline.
But there are some fairly concrete things you can start working
on. And then we can discuss theory & code as you work along. I
don't know all the answers myself.
Aftermath of the Wednesday November 7-lectures
A note (or
a pdf-note) with some of the
stuff I said at the lectures on November 7. Latest
update: Thursday November 8.
Aftermath of the Wednesday October 31-lectures
A note (or
a pdf-note) with stuff I said
(and stuff should have said) at the lectures on October 31. Latest
update: Friday November 2.
An Excel-file with parameter
estimation.
An Excel-file with the base-case
portfolio optimization problem.
(The Excel-files are not intended to polished works of computer art,
but rather drafts.)
I have some
notes (or: pdf-notes) on binomial specifications of stochastic interest rates models.
I use the notes in a course at KU, where especially Section 8.2.1
is perceived as incomprehensible by many students. Hmmm, this is what
is really interesting for us. I hope to prove the
aforementioned students wrong.
Aftermath of the Wednesday October 24-lectures
I have now formulated Project 2 (in
pdf-format, too). It must be handed
in no later than November 15.
A note (or
a pdf-note) with stuff I said
(and stuff should have said) at the lectures on October 24. Latest
update: Friday October 26.
A more readable (& slightly updated)
pdf version of the note on "Option
Pricing with Excel".
A note (or
a pdf-note) by David Lando containing
pretty much a summary of the lecture notes below -- but in Danish.
Hi', I'm Rolf. I'll be guest lecturing for Søren the next month or so
in "Practical Optimization in Finance".
I will focus considerably more on the terms
'finance' and 'practical' than on 'optimization'.
Two key-phrases are:
- Computational techniques for option pricing.
- Calibration of financial models.
On Wednesday October 24 I will NOT give the otherwise scheduled
lecture on optimal mortgage management. Rather, I'll give an
introduction to option pricing in binomial models and some
generalizations.
A description of this, with focus on computations, can be found
here here (or
here if you prefer .pdf to
Postscript). The proofs of some of the statements we make can
be found in lecture notes (or
this for .pdf ) for a
course I give at KU. The proofs are rigorous, but not
particularly interesting. Or even necessary for our purposes.
This theory already gives rise to many interesting computational
questions.
On Wednesday October 31 I may elaborate on "frequently used
computational techniques", Monte Carlo simulation for
instance. But I also plan to explain how the binomial
pricing techniques can be applied to bond markets which is
really taking the complexity one step higher.
To do this. I'll need some basics about bonds (such as Chapter 3
in the lecture notes for the course mentioned above) and something
about dynamic bond price models (such as Sections 8.1 and 8.2 in the
lecture notes).