Nicht aus der Schweiz? Besuchen Sie lehmanns.de

Applied Quantitative Finance

Buch | Hardcover
XXVI, 447 Seiten
2008 | 2nd ed. 2008
Springer Berlin (Verlag)
978-3-540-69177-8 (ISBN)

Lese- und Medienproben

Applied Quantitative Finance -
CHF 134,80 inkl. MwSt
This text explores developments and solutions for many practical problems confronting quantitative methods in financial research and industry. It is a synthesis of scientific contributions on practical implementation and theoretical concepts.
Recent years have witnessed a growing importance of quantitative methods in both financial research and industry. This development requires the use of advanced techniques on a theoretical and applied level, especially when it comes to the quantification of risk and the valuation of modern financial products.
Applied Quantitative Finance (2nd edition) provides a comprehensive and state-of-the-art treatment of cutting-edge topics and methods. It provides solutions to and presents theoretical developments in many practical problems such as risk management, pricing of credit derivatives, quantification of volatility and copula modelling. The synthesis of theory and practice supported by computational tools is reflected in the selection of topics as well as in a finely tuned balance of scientific contributions on practical implementation and theoretical concepts. This linkage between theory and practice offers theoreticians insights into considerations of applicability and, vice versa, provides practitioners comfortable access to new techniques in quantitative finance.
Themes that are dominant in current research and which are presented in this book include among others the valuation of Collaterized Debt Obligations (CDOs), the high-frequency analysis of market liquidity, the pricing of Bermuda options and realized volatility.
All Quantlets for the calculation of the given examples are downloadable from the Springer web pages.

Wolfgang Härdle is a professor of statistics at the Humboldt-Universität zu Berlin and director of C.A.S.E. the Centre for Applied Statistics and Economics. He teaches quantitative finance and semiparametric statistical methods. His research focuses on dynamic factor models, multivariate statistics in finance and computational statistics. He is an elected ISI member and advisor to the Guanghua School of Management, Peking University and to National Central University, Taiwan.

Value at Risk.- Modeling Dependencies with Copulae.- Quantification of Spread Risk by Means of Historical Simulation.- A Copula-Based Model of the Term Structure of CDO Tranches.- VaR in High Dimensional Systems a Conditional Correlation Approach.- Credit Risk.- Rating Migrations.- Cross- and Autocorrelation in Multi-Period Credit Portfolio Models.- Risk Measurement with Spectral Capital Allocation.- Valuation and VaR Computation for CDOs Using Stein s Method.- Implied Volatility.- Least Squares Kernel Smoothing of the Implied Volatility Smile.- Numerics of Implied Binomial Trees.- Application of Extended Kalman Filter to SPD Estimation.- Stochastic Volatility Estimation Using Markov Chain Simulation.- Measuring and Modeling Risk Using High-Frequency Data.- Valuation of Multidimensional Bermudan Options.- Econometrics.- Multivariate Volatility Models.- The Accuracy of Long-term Real Estate Valuations.- Locally Time Homogeneous Time Series Modelling.- Simulation Based Option Pricing.- High-Frequency Volatility and Liquidity.- Statistical Process Control in Asset Management.- Canonical Dynamics Mechanism of Monetary Policy and Interest Rate.

From the reviews of the second edition:

"The second edition ... compared with the first, has widened the scope of the overall message and topics. ... have also included more up-to-date data. ... designed for students and researchers who want to develop a professional skill in modern quantitative applications in finance. ... The aim is to make the course readable for graduate students in financial engineering but also to those who are newcomers to quantitative finance and who want to get a grip on modern statistical tools in financial data analysis." (Richard Kirby, The Mathematical Association of America, September, 2009)

Erscheint lt. Verlag 25.8.2008
Zusatzinfo XXVI, 447 p.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 830 g
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Wirtschaft Allgemeines / Lexika
Wirtschaft Betriebswirtschaft / Management Finanzierung
Schlagworte credit risk • Finance • Kreditrisiko • Markov Chain • Modeling • Quantitative Finance • Quantitative Methods • Simulation • Statistica • Statistical Process Control • Value at risk • Volatility • XploRe
ISBN-10 3-540-69177-4 / 3540691774
ISBN-13 978-3-540-69177-8 / 9783540691778
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Anwendungen und Theorie von Funktionen, Distributionen und Tensoren

von Michael Karbach

Buch | Softcover (2023)
De Gruyter Oldenbourg (Verlag)
CHF 97,90