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Author: Patrick Gagliardini Publisher: Cambridge University Press ISBN: 110707083X Category : Business & Economics Languages : en Pages : 203
Book Description
This book provides the first comprehensive overview of the granularity theory and its usefulness for risk analysis, statistical estimation, and derivative pricing.
Author: Patrick Gagliardini Publisher: Cambridge University Press ISBN: 110707083X Category : Business & Economics Languages : en Pages : 203
Book Description
This book provides the first comprehensive overview of the granularity theory and its usefulness for risk analysis, statistical estimation, and derivative pricing.
Author: Patrick Gagliardini Publisher: Cambridge University Press ISBN: 1316061868 Category : Business & Economics Languages : en Pages : 203
Book Description
The recent financial crisis has heightened the need for appropriate methodologies for managing and monitoring complex risks in financial markets. The measurement, management, and regulation of risks in portfolios composed of credits, credit derivatives, or life insurance contracts is difficult because of the nonlinearities of risk models, dependencies between individual risks, and the several thousands of contracts in large portfolios. The granularity principle was introduced in the Basel regulations for credit risk to solve these difficulties in computing capital reserves. In this book, authors Patrick Gagliardini and Christian Gouriéroux provide the first comprehensive overview of the granularity theory and illustrate its usefulness for a variety of problems related to risk analysis, statistical estimation, and derivative pricing in finance and insurance. They show how the granularity principle leads to analytical formulas for risk analysis that are simple to implement and accurate even when the portfolio size is large.
Author: Peter Christoffersen Publisher: Academic Press ISBN: 0080922430 Category : Business & Economics Languages : en Pages : 344
Book Description
The Second Edition of this best-selling book expands its advanced approach to financial risk models by covering market, credit, and integrated risk. With new data that cover the recent financial crisis, it combines Excel-based empirical exercises at the end of each chapter with online exercises so readers can use their own data. Its unified GARCH modeling approach, empirically sophisticated and relevant yet easy to implement, sets this book apart from others. Five new chapters and updated end-of-chapter questions and exercises, as well as Excel-solutions manual, support its step-by-step approach to choosing tools and solving problems. Examines market risk, credit risk, and operational risk Provides exceptional coverage of GARCH models Features online Excel-based empirical exercises
Author: Yoon-Jae Whang Publisher: Cambridge University Press ISBN: 1108472796 Category : Business & Economics Languages : en Pages : 279
Book Description
Provides a comprehensive analysis of stochastic dominance through coverage of concepts, methods of estimation, inferential tools, and applications.
Author: In Choi Publisher: Cambridge University Press ISBN: 1107097339 Category : Business & Economics Languages : en Pages : 301
Book Description
Many economic theories depend on the presence or absence of a unit root for their validity, making familiarity with unit roots extremely important to econometric and statistical theory. This book introduces the literature on unit roots in a comprehensive manner to empirical and theoretical researchers in economics and other areas.
Author: Lutz Kilian Publisher: Cambridge University Press ISBN: 1107196574 Category : Business & Economics Languages : en Pages : 757
Book Description
This book discusses the econometric foundations of structural vector autoregressive modeling, as used in empirical macroeconomics, finance, and related fields.
Author: Witold Pedrycz Publisher: John Wiley & Sons ISBN: 0470724153 Category : Technology & Engineering Languages : en Pages : 1148
Book Description
Although the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others. Recent years have witnessed a renewed and expanding interest in the topic as it begins to play a key role in bioinformatics, e-commerce, machine learning, security, data mining and wireless mobile computing when it comes to the issues of effectiveness, robustness and uncertainty. The Handbook of Granular Computing offers a comprehensive reference source for the granular computing community, edited by and with contributions from leading experts in the field. Includes chapters covering the foundations of granular computing, interval analysis and fuzzy set theory; hybrid methods and models of granular computing; and applications and case studies. Divided into 5 sections: Preliminaries, Fundamentals, Methodology and Algorithms, Development of Hybrid Models and Applications and Case Studies. Presents the flow of ideas in a systematic, well-organized manner, starting with the concepts and motivation and proceeding to detailed design that materializes in specific algorithms, applications and case studies. Provides the reader with a self-contained reference that includes all pre-requisite knowledge, augmented with step-by-step explanations of more advanced concepts. The Handbook of Granular Computing represents a significant and valuable contribution to the literature and will appeal to a broad audience including researchers, students and practitioners in the fields of Computational Intelligence, pattern recognition, fuzzy sets and neural networks, system modelling, operations research and bioinformatics.
Author: Kathrin Glau Publisher: World Scientific ISBN: 9813272570 Category : Business & Economics Languages : en Pages : 468
Book Description
This book covers recent developments in the interdisciplinary fields of actuarial science, quantitative finance, risk- and asset management. The authors are leading experts from academia and practice who participated in Innovations in Insurance, Risk- and Asset Management, an international conference held at the Technical University of Munich in 2017.The topics covered include the mathematics of extreme risks, systemic risk, model uncertainty, interest rate and hybrid models, alternative investments, dynamic investment strategies, quantitative risk management, asset liability management, liability driven investments, and behavioral finance.This timely selection of topics is highly relevant for the financial industry and addresses current issues both from an academic as well as from a practitioner's point of view.
Author: Masanobu Taniguchi Publisher: ISBN: 9781315117355 Category : MATHEMATICS Languages : en Pages :
Book Description
"This book presents an overview of the theory and applications of statistical portfolio estimation. The approach is necessarily mathematical, as the financial data involved is non-Gaussian and non-stationary. The book includes the required background in time series analysis and portfolio theory. It features applications to insurance and finance, and some interesting applications to biomedical and genetic data. MATLAB℗ʼ and R code for all the examples are available via the book website."--Provided by publisher.
Author: Patrick Gagliardini
Author: Patrick Gagliardini
Author: Christian Gouriéroux
Author: Patrick Gagliardini
Author: Peter Christoffersen
Author: Yoon-Jae Whang
Author: In Choi
Author: Lutz Kilian
Author: Witold Pedrycz
Author: Kathrin Glau
Author: Masanobu Taniguchi