QUANTITATIVE RISK MANAGEMENT CONCEPTS TECHNIQUES AND TOOLS PRINCETON SERIES IN FINANCE

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Quantitative Risk Management

Author : Alexander J. McNeil
ISBN : 9781400866281
Genre : Business & Economics
File Size : 84.45 MB
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This book provides the most comprehensive treatment of the theoretical concepts and modelling techniques of quantitative risk management. Whether you are a financial risk analyst, actuary, regulator or student of quantitative finance, Quantitative Risk Management gives you the practical tools you need to solve real-world problems. Describing the latest advances in the field, Quantitative Risk Management covers the methods for market, credit and operational risk modelling. It places standard industry approaches on a more formal footing and explores key concepts such as loss distributions, risk measures and risk aggregation and allocation principles. The book's methodology draws on diverse quantitative disciplines, from mathematical finance and statistics to econometrics and actuarial mathematics. A primary theme throughout is the need to satisfactorily address extreme outcomes and the dependence of key risk drivers. Proven in the classroom, the book also covers advanced topics like credit derivatives. Fully revised and expanded to reflect developments in the field since the financial crisis Features shorter chapters to facilitate teaching and learning Provides enhanced coverage of Solvency II and insurance risk management and extended treatment of credit risk, including counterparty credit risk and CDO pricing Includes a new chapter on market risk and new material on risk measures and risk aggregation
Category: Business & Economics

Quantitative Risk Management Concepts Techniques And Tools

Author : Alexander J. McNeil
ISBN : 140083757X
Genre : Business & Economics
File Size : 89.83 MB
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The implementation of sound quantitative risk models is a vital concern for all financial institutions, and this trend has accelerated in recent years with regulatory processes such as Basel II. This book provides a comprehensive treatment of the theoretical concepts and modelling techniques of quantitative risk management and equips readers--whether financial risk analysts, actuaries, regulators, or students of quantitative finance--with practical tools to solve real-world problems. The authors cover methods for market, credit, and operational risk modelling; place standard industry approaches on a more formal footing; and describe recent developments that go beyond, and address main deficiencies of, current practice. The book's methodology draws on diverse quantitative disciplines, from mathematical finance through statistics and econometrics to actuarial mathematics. Main concepts discussed include loss distributions, risk measures, and risk aggregation and allocation principles. A main theme is the need to satisfactorily address extreme outcomes and the dependence of key risk drivers. The techniques required derive from multivariate statistical analysis, financial time series modelling, copulas, and extreme value theory. A more technical chapter addresses credit derivatives. Based on courses taught to masters students and professionals, this book is a unique and fundamental reference that is set to become a standard in the field.
Category: Business & Economics

Recovery Risiko In Der Kreditportfoliomodellierung

Author : Maria Stefanova
ISBN : 9783834942265
Genre : Business & Economics
File Size : 57.61 MB
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Seit der Einführung der unter Basel II bekannten bankaufsichtlichen Anforderungen ist der Druck auf Kreditinstitute, verfeinerte Risikomessmethoden zu entwickeln, deutlich angestiegen. Besonders bemerkbar macht sich das bei der Messung und Steuerung von Kreditrisiken. Während sich viele der existierenden Ansätze mit der Modellierung von Ausfallwahrscheinlichkeiten und dem gemeinsamen Ausfallverhalten von Kreditnehmern beschäftigen, wird das Risiko, das im unsicheren Verlust begründet ist, nur unzureichend berücksichtigt. Maria Stefanova untersucht den Einfluss stochastischer Verlustquoten im mehrperiodigen Modellkontext und identifiziert mögliche Fehleinschätzungen des Kreditrisikos, die durch die Verwendung einperiodiger Modelle entstehen. ​
Category: Business & Economics

Innovations In Quantitative Risk Management

Author : Kathrin Glau
ISBN : 9783319091143
Genre : Mathematics
File Size : 69.24 MB
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Quantitative models are omnipresent –but often controversially discussed– in todays risk management practice. New regulations, innovative financial products, and advances in valuation techniques provide a continuous flow of challenging problems for financial engineers and risk managers alike. Designing a sound stochastic model requires finding a careful balance between parsimonious model assumptions, mathematical viability, and interpretability of the output. Moreover, data requirements and the end-user training are to be considered as well. The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia –providing methodological advances– and practice –having a firm understanding of the economic conditions in which a given model is used. Discussed fields of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling, multiple-curve interest rate-models, and model risk are addressed. Finally, regulatory developments and possible limits of mathematical modeling are discussed.
Category: Mathematics

Mathematical Risk Analysis

Author : Ludger Rüschendorf
ISBN : 9783642335907
Genre : Mathematics
File Size : 57.10 MB
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The author's particular interest in the area of risk measures is to combine this theory with the analysis of dependence properties. The present volume gives an introduction of basic concepts and methods in mathematical risk analysis, in particular of those parts of risk theory that are of special relevance to finance and insurance. Describing the influence of dependence in multivariate stochastic models on risk vectors is the main focus of the text that presents main ideas and methods as well as their relevance to practical applications. The first part introduces basic probabilistic tools and methods of distributional analysis, and describes their use to the modeling of dependence and to the derivation of risk bounds in these models. In the second, part risk measures with a particular focus on those in the financial and insurance context are presented. The final parts are then devoted to applications relevant to optimal risk allocation, optimal portfolio problems as well as to the optimization of insurance contracts. Good knowledge of basic probability and statistics as well as of basic general mathematics is a prerequisite for comfortably reading and working with the present volume, which is intended for graduate students, practitioners and researchers and can serve as a reference resource for the main concepts and techniques.
Category: Mathematics

Wertorientiertes Risikomanagement Von Versicherungsunternehmen

Author : Marcus Kriele
ISBN : 9783642258060
Genre : Mathematics
File Size : 57.83 MB
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Die Autoren vermitteln Basiswissen für wertorientiertes Risikomanagement – ein ganzheitlicher Ansatz zur Unternehmenssteuerung. Ziel ist es, Leser dazu zu befähigen, ein auf quantitativen Methoden basierendes Risikomanagement im Unternehmen zu implementieren. In ihrer Darstellung verbinden sie mathematische Konzepte mit der Vermittlung praxisrelevanter Methoden. Grundkenntnisse der Wahrscheinlichkeitsrechnung und mathematisches Verständnis werden vorausgesetzt. Der Band enthält Simulationsbeispiele in der frei erhältlichen Statistiksoftware R.
Category: Mathematics

Risikomanagement

Author : John Hull
ISBN : 386894043X
Genre : Financial institutional
File Size : 72.49 MB
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Category: Financial institutional

Copulae And Multivariate Probability Distributions In Finance

Author : Alexandra Dias
ISBN : 9781317976905
Genre : Business & Economics
File Size : 86.37 MB
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Portfolio theory and much of asset pricing, as well as many empirical applications, depend on the use of multivariate probability distributions to describe asset returns. Traditionally, this has meant the multivariate normal (or Gaussian) distribution. More recently, theoretical and empirical work in financial economics has employed the multivariate Student (and other) distributions which are members of the elliptically symmetric class. There is also a growing body of work which is based on skew-elliptical distributions. These probability models all exhibit the property that the marginal distributions differ only by location and scale parameters or are restrictive in other respects. Very often, such models are not supported by the empirical evidence that the marginal distributions of asset returns can differ markedly. Copula theory is a branch of statistics which provides powerful methods to overcome these shortcomings. This book provides a synthesis of the latest research in the area of copulae as applied to finance and related subjects such as insurance. Multivariate non-Gaussian dependence is a fact of life for many problems in financial econometrics. This book describes the state of the art in tools required to deal with these observed features of financial data. This book was originally published as a special issue of the European Journal of Finance.
Category: Business & Economics