Partial Differential Equations for Finance
by Robert V. Kohn
Publisher: New York University 2003
Number of pages: 121
Description:
An introduction to those aspects of partial differential equations and optimal control most relevant to finance. PDE’s naturally associated to diffusion processes: the forward and backward Kolmogorov equations and their applications. Linear parabolic equations: fundamental solution, boundary value problems, maximum principle, transform methods. Dynamic programming and optimal control: Hamilton-Jacobi-Bellman equation, verification arguments, optimal stopping. Applications to finance will be distributed throughout the course.
Download or read it online for free here:
Download link
(multiple PDF/PS files)
Similar books
Financial Numerical Recipes in C++by Bernt Arne Ødegaard
Useful examples and algorithms for people working within the field of finance. Typical examples are option/derivatives pricing, term structure calculations, mean variance analysis. The author made C++ subroutines that implements common algorithms.
(29012 views)
Company Valuation and Share Priceby Robert Alan Hill - BookBoon
This is an investor's guide to company share valuation in today's volatile markets using performance measures published by stock exchanges worldwide, plus other source material drawn from company data, analyst reports and the internet.
(12237 views)
Derivative Markets: An Introductionby AP Faure - Bookboon
Forwards, futures, swaps, options, hybrids and a category 'other' (credit derivatives, weather derivatives, etc.) make up the derivative markets. The word is drawn from 'derive' and means that the derivative instrument cannot exist on its own.
(10950 views)
Topics in Stochastic Portfolio Theoryby Alexander Vervuurt - arXiv
Stochastic Portfolio Theory is a framework in which the normative assumptions from classical financial mathematics are not made, but in which one takes a descriptive approach to studying properties of markets that follow from empirical observations.
(10508 views)