Финансовая математика
Финансово-экономические дисциплины
  • формат pdf
  • размер 14.89 МБ
  • добавлен 15 ноября 2011 г.
Wilmott Paul. Quantitative Finance
One mathematical and financial foundations.
Basic theory of derivatives.
Risk and retu.

Products and Markets.
Derivatives.
The Random Behavior of Assets.
Elementary Stochastic Calculus.
The Black–Scholes Model.
al Differential Equations.
The Black–Scholes Formulae and the ‘Greeks’.
Simple Generalizations of the Black–Scholes World.
Early Exercise and American Options.
Probability Density Functions and First-exit times.
Multi-asset Options.
How to Delta Hedge.
Fixed-income Products and Analysis: Yield, Duration and Convexity.
Swaps.
The Binomial Model.
How Accurate is the Normal Approximation?
nvestment Lessons from Blackjack and Gambling.
Portfolio Management.
alue at Risk.
Forecasting the Markets?
A trading Game.
contents ix.
contents of volume two.
TWO EXOTIC CONTRACTS AND PATH DEPENDENCY.
An Introduction to Exotic and Path-dependent Derivatives.
Barrier Options.
Strongly Path-dependent Derivatives.
Asian Options.
Lookback Options.
Derivatives and Stochastic Control.
Miscellaneous Exotics.
Equity and FX Term Sheets.
THREE FIXED-INCOME MODELING AND DERIVATIVES.
One-factor Interest Rate Modeling.
Yield Curve Fitting.
nterest Rate Derivatives.
Convertible Bonds.
Mortgage-backed Securities.
Multi-factor Interest Rate Modeling.
Empirical Behavior of the Spot Interest Rate.
The Heath, Jarrow & Morton and Brace, Gatarek & Musiela Models.
Fixed-income Term Sheets.
FOUR CREDIT RISK.
alue of the Firm and the Risk of Default.
Credit Risk.
contents.
Credit Derivatives.
RiskMetrics and CreditMetrics.
CrashMetrics.
Derivatives **** Ups.
contents xix.
contents of volume three.
FIVE ADVANCED TOPICS.
Financial Modeling.
Defects in the Black–Scholes Model.
Discrete Hedging.
Transaction Costs.
Overview of Volatility Modeling.
Deterministic Volatility Surfaces.
Stochastic Volatility.
Uncertain Parameters.
Empirical Analysis of Volatility.
Stochastic Volatility and Mean-variance Analysis.
Asymptotic Analysis of Volatility.
olatility Case Study: The Cliquet Option.
Jump Diffusion.
Crash Modeling.
Speculating with Options.
Static Hedging.
The Feedback Effect of Hedging in Illiquid Markets.
Utility Theory.
More About American Options and Related Matters.
Advanced Dividend Modeling.
Serial Autocorrelation in Retus.
Asset Allocation in Continuous Time.
contents.
Asset Allocation Under Threat of a Crash.
nterest-rate Modeling Without Probabilities.
Pricing and Optimal Hedging of Derivatives, the Non-probabilistic.
Model Cont’d.
Extensions to the Non-probabilistic Interest-rate Model.
Modeling Inflation.
Energy Derivatives.
Real Options.
Life Settlements and Viaticals.
Bonus Time.
SIX NUMERICAL METHODS AND PROGRAMS.
Overview of Numerical Methods.
Finite-difference Methods for One-factor Models.
Further Finite-difference Methods for One-factor Models.
Finite-difference Methods for Two-factor Models.
Monte Carlo Simulation.
Numerical Integration.
Finite-difference Programs.
Monte Carlo Programs.
Appendix A All the Math You Need. . . and No More (An Executive Summary).
Bibliography.
ndex.
Похожие разделы
Смотрите также

Сapinski M., Zastawniak T. Mathematics for Finance: An Introduction to Financial Engineering

  • формат pdf
  • размер 6.5 МБ
  • добавлен 16 февраля 2011 г.
Designed to form the basis of an undergraduate course in mathematical finance, this book builds on mathematical models of bond and stock prices and covers three major areas of mathematical finance that all have an enormous impact on the way modern financial markets operate, namely: Black-Scholes’ arbitrage pricing of options and other derivative securities; Markowitz portfolio optimization theory and the Capital Asset Pricing Model; and interest...

Bank P., Baudoin F., Paris-Princeton Lectures on Mathematical Finance

  • формат pdf
  • размер 860.48 КБ
  • добавлен 26 февраля 2011 г.
Paris-Princeton Lectures on Mathematical Finance (Springer, 2004)(ISBN 3540229531) The Paris-Princeton Lectures in Financial Mathematics, of which this is the first volume, will, on an annual basis, publish cutting-edge research in self-contained, expository articles from outstanding - established or upcoming! - specialists. The aim is to produce a series of articles that can serve as an introductory reference for research in the field. It arise...

Bass R. The Basics of Financial Mathematics

  • формат pdf
  • размер 486.26 КБ
  • добавлен 24 августа 2010 г.
Department of Mathematics University of Connecticut, 2003. These are lecture notes on mathematical finance. Mathematical finance is not about predicting the price of a stock. What it is about is figuring out the price of options and derivatives. The sections of these notes can be grouped into five categories: elementary probability, the binomial asset pricing model, advanced probability, the continuous model, and term structure models.

Biehler T.J. The Mathematics of Money: Math for Business and Personal Finance Decisions

  • формат pdf
  • размер 8.1 МБ
  • добавлен 24 июля 2011 г.
McGraw-Hill/Irwin, 2007. - 690 pages. The Mathematics of Money: Math for Business and Personal Finance covers all the traditional topics of the business math course, but with a more algebraic focus than many of the texts currently on the market. The text develops a solid understanding of percent and interest early, then applies that foundation to other applications in business and personal finance. While it is appropriate for students of all lev...

Cerny A. Mathematical Techniques in Finance: Tools for Incomplete Markets

  • формат pdf
  • размер 2.44 МБ
  • добавлен 12 ноября 2011 г.
Princeton University Press, 2009. - 416 pages. Second Edition Originally published in 2003, Mathematical Techniques in Finance has become a standard textbook for master's-level finance courses containing a significant quantitative element while also being suitable for finance PhD students. This fully revised second edition continues to offer a carefully crafted blend of numerical applications and theoretical grounding in economics, finance, and...

Hansen M. Master Math: Business and Personal Finance Math

  • формат pdf
  • размер 1.67 МБ
  • добавлен 26 сентября 2011 г.
Course Technology PTR, 2011. - 304 page. "Master Math: Business and Personal Finance Math" is a comprehensive reference guide that explains and clarifies the principles of business and personal finance math in a simple, easy-to-follow style and format. Beginning with the most fundamental topics and progressing through to the more advanced, this book helps clarify the mathematics of personal finance and business using step-by step procedures and...

Joshi M.S. The Concepts of Mathematical Finance

  • формат pdf
  • размер 2.3 МБ
  • добавлен 12 апреля 2011 г.
M.S. Joshi, 2008. - 538 pages. An ideal introduction for those starting out as practitioners of mathematical finance, this book provides a clear understanding of the intuition behind derivatives pricing, how models are implemented, and how they are used and adapted in practice. Strengths and weaknesses of different models, e.g. Black-Scholes, stochastic volatility, jump-diffusion and variance gamma, are examined. Both the theory and the implemen...

Roger P. Probability for Finance

  • формат pdf
  • размер 4.25 МБ
  • добавлен 06 февраля 2011 г.
BookBoon, 2010. - 115 pages. Lecture Notes from the Srasbourg Business School. This book is intented to be a technical support for students in finance. It is the reason why it is entitled "Probability for finance". Our purpose is to provide the essentials tools of probability theory useful to understand financial models. Consequently, almost all the examples illustrating probability results are taken from the fields of economics and finance. I...

Simon Benninga. Financial Modelling 3-rd edition

  • формат pdf
  • размер 17.9 МБ
  • добавлен 22 августа 2011 г.
The MIT Press, 2008, 1168 pp. Too often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. Financial Modeling bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial models with spreadsheets. Simon Benninga takes the reader step by step through each model, showing how it can be solved using Microsoft Excel. The long-awaited thir...

Tavella D. Quantitative Methods in Derivatives Pricing: An Introduction to Computational Finance

  • формат pdf
  • размер 4.26 МБ
  • добавлен 29 января 2012 г.
John Wiley & Sons, Inc., 2002. – 304 pages. This book is designed as a graduate textbook in financial engineering. It was motivated by the need to present the main techniques used in quantitative pricing in a single source adequate for Master level students. Students are expected to have some background in algebra, elementary statistics, calculus, and elementary techniques of financial pricing, such as binomial trees and simple Monte Carlo s...