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Statistics and Computing

Applied Quantitative Finance

Herausgeber: Härdle, Wolfgang, Chen, Cathy Yi-Hsuan, Overbeck, Ludger (Eds.)

  • Presents the latest developments in risk management; market risk, credit risk and dynamics of risk management 
  • Provides a unique balance between theoretical concepts, computational tools and practical implementation 
  • Features fully reproducible results and provides the underlying quantlets on the accompanying website www.quantlet.de
  • Includes an innovative analysis of the dynamics of cryptocurrencies
  • Time varying LASSO yields a financial risk meter (FRM hu.berlin/frm)
Weitere Vorteile

Dieses Buch kaufen

eBook 55,92 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-662-54486-0
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: PDF, EPUB
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 71,68 €
Preis für Deutschland (Brutto)
  • Erscheinungstermin: 1. September 2017
  • ISBN 978-3-662-54485-3
  • Kostenfreier Versand für Individualkunden weltweit
Über dieses Lehrbuch

This volume provides practical solutions and introduces recent theoretical developments in risk management, pricing of credit derivatives, quantification of volatility and copula modeling. This third edition is devoted to modern risk analysis based on quantitative methods and textual analytics to meet the current challenges in banking and finance. It includes 14 new contributions and presents a comprehensive, state-of-the-art treatment of cutting-edge methods and topics, such as collateralized debt obligations, the high-frequency analysis of market liquidity, and realized volatility.

The book is divided into three parts: Part 1 revisits important market risk issues, while Part 2 introduces novel concepts in credit risk and its management along with updated quantitative methods. The third part discusses the dynamics of risk management and includes risk analysis of energy markets and for cryptocurrencies. Digital assets, such as blockchain-based currencies, have become popular b

ut are theoretically challenging when based on conventional methods. Among others, it introduces a modern text-mining method called dynamic topic modeling in detail and applies it to the message board of Bitcoins. 

The unique synthesis of theory and practice supported by computational tools is reflected not only in the selection of topics, but also in the fine balance of scientific contributions on practical implementation and theoretical concepts. This link between theory and practice offers theoreticians insights into considerations of applicability and, vice versa, provides practitioners convenient access to new techniques in quantitative finance. Hence the book will appeal both to researchers, including master and PhD students, and practitioners, such as financial engineers. The results presented in the book are fully reproducible and all quantlets needed for calculations are provided on an accompanying website.

The Quantlet platform quantlet.de, quantlet.c

om, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web.  QuantNet and the corresponding Data-Driven Documents-based visualization allows readers to reproduce the tables, pictures and calculations inside this Springer book.

Über den Autor

Wolfgang Karl Härdle is the Ladislaus von Bortkiewicz Professor of Statistics at the Humboldt-Universität zu Berlin and director of C.A.S.E. (Center for Applied Statistics and Economics), director of the CRC-649 (Collaborative Research Center) “Economic Risk” and director of the IRTG 1792 “High Dimensional Non-stationary Time Series.” He teaches quantitative finance and semi-parametric statistics. His research focuses on dynamic factor models, multivariate statistics in finance and computational statistics. He is an elected member of the ISI (International Statistical Institute) and advisor to the Guanghua School of Management, Peking University and a senior fellow of Sim Kee Boon Institute of Financial Economics at the Singapore Management University. 

Cathy Yi-Hsuan Chen is guest professor at the Humboldt-Universität zu Berlin School of Business & Economics, a principal investigator in the International Research Training Group 1792 – Hi

gh Dimensional Non-stationary Time Series and visiting fellow at Sim Kee Boon Institute for Financial Economics, Singapore Management University. Her research interests focus on text mining, finance analysis and risk analysis and management. She has dedicated herself to applying text-mining techniques to distill news flow from social media. She has published in key journals and has written important software for financial econometrics. She applies modern econometric techniques, such as copulae and ultra-high dimensional factor models to financial data on systemic risk indicators. She has professional experience in risk modeling and management in banking industry. 

Ludger Overbeck is Professor of Mathematics at the University of Gießen, specializing in stochastic processes, as well as mathematical financial and quantitative methods in risk management. His research covers a wide range of topics from infinite-dimensional stochastic analysis, like measure-valued processes

, path-dependent stochastic equations and partial differential equations; pricing issues such as term structure modelling for credit products; risk management like portfolio credit risk; and the axiomatic approach to systemic dynamic risk measures. He gained broad professional experience in risk-management quantification issues during his career with the Deutsche Bundesbank, Deutsche Bank, UniCredit and Commerzbank.  

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Inhaltsverzeichnis (18 Kapitel)

  • VaR in High Dimensional Systems-A Conditional Correlation Approach

    Herwartz, H. (et al.)

    Seiten 3-23

  • Multivariate Volatility Models

    Fengler, M. R. (et al.)

    Seiten 25-37

  • Portfolio Selection with Spectral Risk Measures

    Huang, S. F. (et al.)

    Seiten 39-56

  • Implementation of Local Stochastic Volatility Model in FX Derivatives

    Zheng, J. (et al.)

    Seiten 57-69

  • Estimating Distance-to-Default with a Sector-Specific Liability Adjustment via Sequential Monte Carlo

    Duan, J.-C. (et al.)

    Seiten 73-91

Dieses Buch kaufen

eBook 55,92 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-662-54486-0
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: PDF, EPUB
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 71,68 €
Preis für Deutschland (Brutto)
  • Erscheinungstermin: 1. September 2017
  • ISBN 978-3-662-54485-3
  • Kostenfreier Versand für Individualkunden weltweit
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Bibliografische Information

Bibliographic Information
Buchtitel
Applied Quantitative Finance
Herausgeber
  • Wolfgang Härdle
  • Cathy Yi-Hsuan Chen
  • Ludger Overbeck
Titel der Buchreihe
Statistics and Computing
Copyright
2017
Verlag
Springer-Verlag Berlin Heidelberg
Copyright Inhaber
Springer-Verlag GmbH Germany
eBook ISBN
978-3-662-54486-0
DOI
10.1007/978-3-662-54486-0
Hardcover ISBN
978-3-662-54485-3
Buchreihen ISSN
1431-8784
Auflage
3
Seitenzahl
X, 372
Anzahl der Bilder und Tabellen
36 schwarz-weiß Abbildungen, 75 Abbildungen in Farbe
Zusätzliche Informationen
Originally published under: Härdle, W., Hautsch, N., Overbeck, L. (Eds.)
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