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Epps T. — Quantitative Finance: Its Development, Mathematical Foundations, and Current Scope
Epps T. — Quantitative Finance: Its Development, Mathematical Foundations, and Current Scope



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Название: Quantitative Finance: Its Development, Mathematical Foundations, and Current Scope

Автор: Epps T.

Аннотация:

A rigorous, yet accessible, introduction to essential topics in mathematical financePresented as a course on the topic, Quantitative Finance traces the evolution of financial theory and provides an overview of core topics associated with financial investments. With its thorough explanations and use of real-world examples, this book carefully outlines instructions and techniques for working with essential topics found within quantitative finance including portfolio theory, pricing of derivatives, decision theory, and the empirical behavior of prices.The author begins with introductory chapters on mathematical analysis and probability theory, which provide the needed tools for modeling portfolio choice and pricing in discrete time. Next, a review of the basic arithmetic of compounding as well as the relationships that exist among bond prices and spot and forward interest rates is presented.? Additional topics covered include:Dividend discount modelsMarkowitz mean-variance theoryThe Capital Asset Pricing ModelStatic?portfolio theory based on the expected-utility paradigmFamiliar probability models for marginal distributions of returns and the dynamic behavior of security pricesThe final chapters of the book delve into the paradigms of pricing and present the application of martingale pricing in advanced models of price dynamics. Also included is a step-by-step discussion on the use of Fourier methods to solve for arbitrage-free prices when underlying price dynamics are modeled in realistic, but complex ways.Throughout the book, the author presents insight on current approaches along with comments on the unique difficulties that exist in the study of financial markets. These reflections illustrate the evolving nature of the financial field and help readers develop analytical techniques and tools to apply in their everyday work. Exercises at the end of most chapters progress in difficulty, and selected worked-out solutions are available in the appendix. In addition, numerous empirical projects utilize MATLAB® and Minitab® to demonstrate the mathematical tools of finance for modeling the behavior of prices and markets. Data sets that accompany these projects can be found via the book's FTP site.Quantitative Finance is an excellent book for courses in quantitative finance or financial engineering at the upper-undergraduate and graduate levels. It is also a valuable resource for practitioners in related fields including engineering, finance, and economics.


Язык: en

Рубрика: Математика/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 2009

Количество страниц: 401

Добавлена в каталог: 16.08.2014

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Предметный указатель
Risk neutrality      74 106
Risk-neutral measure      300
Schwarz inequality      37 224
Security market line      90 220
Self-financing portfolio      208 255 262
Set function      16
Sharpe ratio      209 224
Short rate, defined      62
Short rate, models for      301
Sigma-field/algebra      16
Sigma-field/algebra, generated      16 27 28
Single-index model      79
singleton set      11
Skewness in stock returns      147
Skewness, coefficient of      36
Spot EMM      302
Stable distributions      147 345 357
Stationary time series      142 238
Stirling's formula      52
Stochastic differential      181 183
Stochastic discount factor      221 237 246
Stochastic discount factor and change of measure      298
Stochastic dominance vs. mean-variance dominance      117
Stochastic dominance, theory      114
Stochastic integral      178 183
Stochastic process      164
Stochastic volatility models, description      312
Stochastic volatility models, independent price/volatility shocks      350
Stochastic volatility models, option pricing under      348 350
Straddle      264
Stratonovich integral      190
Strike price      262
Student's t distribution      151 322
Subordinated process      322
Support of random variable      29
SV model      see "Stochastic volatility models"
SV-jump model, description      354
SV-jump model, option pricing under      354
Swaps      7
Synthetic options      281
Taylor series      13
Timeless prospects      193
Total return      73
Tower property      see "Conditional expectation"
Treasury bills      58
Treasury strips      58
Uniform distribution      50
Utility function of consumption      192
Utility function, additively separable      198 218
Utility function, axiomatic derivation      100
Utility function, CRRA form      109 198 238
Utility function, estimation of      105
Utility function, exponential form      109
Utility function, logarithmic      205
Utility function, properties of      106
Utility function, uniqueness      101
Value function      193 218
Variance gamma model, description      322
Variance gamma model, option pricing under      342
Variation of a process      170
Variation, coefficient of      36
Variation, quadratic      170 179 182
Vasicek model      301
Volatility clustering      160
Volatility parameter      181 278
Volatility smile      282 318
Volatility, implicit      279 282
Volatility, jumps in      356
Volatility, price-dependent      308
Volatility, stochastic      312
Volatility, term structure of      283
Wiener process      see "Brownian motion"
Yield to maturity      60
Zero-coupon bonds      57
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