Condamin L., Louisot J.-P., Na?m P. Risk Quantification

Год издания: 2007 Количество страниц - 1027 The remarkable growth of financial markets over the past decades has been accompanied by an equally remarkable explosion in financial engineering, the interdisciplinary field focusing on applications of mathematical and statistical modeling and computational technology to problems in the financial services industry. The goals of financial engineering research are to develop empirically realistic stocha...

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...

Hoboken, John Wiley & Sons, 2009. - 320p. Сборник статей, содержащий новые (на 2009 год) результаты. В первой части рассматриваются вопросы опционного ценообразования (волатильность, "улыбка волатильности", цена опционов при возможности "прыжков цены"), во второй - кредитного риска. Для научных работников и математиков финансовых компаний.rn

Cambridge, Cambridge University Press, 2002. - 290p. Сборник статей, посвящённых методам анализа риска и управления им, использующим показатель VaR и другие меры риска, а также теории экстремальных значений, стохастического программирования и методов анализа статистических зависимостей. Для научных работников и аспирантов в области риск-менеджмента и финансовой математики.

Wiley, 2004, 800 pp. The Mathematics of Financial Modeling & Investment Management covers a wide range of technical topics in mathematics and finance-enabling the investment management practitioner, researcher, or student to fully understand the process of financial decision-making and its economic. Using a wealth of real-world examples, Focardi and Fabozzi simultaneously show both the mathematical techniques and the areas in finance where...

University of Minnesota, 2000. Contents I Equilibrium and Arbitrage 1 Equilibrium in Security Markets 2 Linear Pricing 3 Arbitrage and Positive Pricing 4 Portfolio Restrictions II Valuation 5 Valuation 6 State Prices and Risk-Neutral Probabilities 7 Valuation under Portfolio Restrictions III Risk 8 Expected Utility 9 Risk Aversion 10 Risk IV Optimal Portfolios V Equilibrium Prices and Allocations VI Mean-Variance Analysis VII Multidate Se...

This book presents the mathematics that underpins pricing models for derivative securities in modern financial markets, such as options, futures and swaps. This new edition adds substantial material from current areas of active research, such as coherent risk measures with applications to hedging, the arbitrage interval for incomplete discrete-time markets, and risk and return and sensitivity analysis for the Black-Scholes model.

The notes are based on courses offered regularly to graduate students in economics and mathematics at the University of Bonn choosing financial economics as special topic. To students interested in finance the course opens a quick (but by no means dirty) road to the tools required for advanced finance. One can start the course with what they know about real analysis (e.g. Taylor’s Theorem) and basic probability theory as usually taught in undergr...

N.-Y., John Wiley & Sons, 1996. - 515p. This book is about hedging the risks of standard and exotic options, as part of the larger framework of risk management. No road map was available since little has been written on this subject (in contrast to the extensive literature for valuation). ‘‘Dynamic hedging’’ is more like medicine than biology. It is learned by gaining practical experience as well as by studying published research. The wrink...

One mathematical and financial foundations. Basic theory of derivatives. Risk and return. 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. Ho...