"What initially looked like an impossible undertaking has become a formidable achievement, stretching from the theoretical foundations to the most recent cutting edge methods. Mille bravos!" - Dr Bruno Dupire (Bloomberg L.P.)
The Encyclopedia of Quantitative Finance is a major reference
work designed to provide a comprehensive coverage of essential topics
related to the quantitative modelling of financial markets, with authoritative
contributions from leading academics and professionals.
Drawing on contributions from a wide spectrum of experts in fields including
financial economics, econometrics, mathematical finance, operations
research, numerical analysis, risk management and statistics, the Encyclopedia
of Quantitative Finance faithful reflects the multidisciplinary
nature of its subject.
With a pool of author comprising over 400 leading academics and professionals
worldwide, the Encyclopedia provides a balanced view of theoretical
and practical aspects of quantitative modelling in finance.
Topics covered in the Encyclopedia include
- the historical development of quantitative modelling in finance, including biographies of influential figures
- self-contained expositions of mathematical and statistical tools used in financial modelling
- authoritative expositions on the foundations of financial theory and mathematical finance, including arbitrage pricing, asset pricing theory, option pricing and asset allocation
- comprehensive reviews of various aspects of risk management: credit risk, market risk, operational risk, economic capital and Basel II with a detailed coverage of topics related to credit risk
- up-to-date surveys of the state of the art in computational finance: Monte Carlo simulation, partial differential equations (PDEs), Fourier transform methods, model calibration
- detailed entries on various types of financial derivatives and methods used for pricing and hedging them, including equity derivatives, credit derivatives, interest rate derivatives and foreign exchange derivatives
- pedagogical surveys of econometric methods and models used in finance, including GARCH models, GMM, realized volatility, factor models, Mixed Data Sampling and high-frequency data
- empirical and theoretical aspects of market microstructure and trade-level modelling
- timely entries on new topics such as commodity risk, electricity derivatives, algorithmic trading and multi-fractals
- quantitative methods in actuarial science, including insurance derivatives, catastrophe bonds , equity-linked life insurance and other topics at the interface of finance and insurance
All articles contain are cross-referenced to other relevant articles in the Encyclopedia and include detailed bibliographies for further reading.
The scope and breadth of the Encyclopedia will make it an invaluable resource for students and researchers in finance, quantitative analysts and developers, risk managers, portfolio managers, regulators, financial market analysts and anyone interested in the complexity of today’s financial markets and products.
Aims and Scope
The Encyclopedia of Quantitative Finance is an essential reference
work which provides comprehensive and up-to-date coverage of all aspects
of quantitative modeling in finance.
Structure and Format
The Encyclopedia of Quantitative Finance is a multi-volume
reference work aimed at quants, risk managers, graduate students, academic
researchers and all those interested in quantitative modelling in finance.
Published in 4 volumes of approximately 500 pages each, the Encyclopedia
includes alphabetically arranged entries compiled from the contributions
of more than 400 authors.