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Copulas for Risk Management

be modeled and the scale-invariant measures of dependence might be considered. With this problem in popularity has come a rise in the need;

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Dependence Modeling with Copulas

Dependence Modeling with Copulas covers the substantial advances that have taken place in the field during the last 15 years, including;

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Dependence Modeling with Copulas

Dependence Modeling with Copulas covers the substantial advances that have taken place in the field during the last 15 years, including;

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Principles of Copula Theory

Principles of Copula Theory explores the state of the art on copulas and provides you with the foundation to use copulas in a variety;

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Elements of Copula Modeling with R

distributions using copulas can be carried out in the R statistical environment with the package copula (among others). Copulas are multivariate;

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Copula Modeling

copulas is that estimation and inference are based on standard maximum likelihood procedures. Thus, copulas can be estimated using desktop;

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Financial Engineering with Copulas Explained

This is a succinct guide to the application and modelling of dependence models or copulas in the financial markets. First applied to credit;

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Dynamic Copulas for Finance

in the dependence structure. Alternatively, Copulas are a more flexible dependence measurement. This book focuses on the development of Dynamic;

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Introduction to Bayesian Estimation and Copula Models of Dependence

following four chapters stress statistical models of dependence with a focus of copulas. A review of the main concepts is discussed along with the;

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Copulas and Its Application in Hydrology and Water Resources

practical applications for multivariate hydrological analysis using copulas. In addition, it extends the traditional bivariate model to trivariate;

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The Valuation of Multivariate Options

. Thereby, the special features of financial return data are tried to be taken into account. Advancing option valuation theory to options with;

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Extreme Value Modeling and Risk Analysis

modeling of non-stationary extremes. It presents new results for block-maxima of vine copulas, develops time series of extremes with applications;

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Copula Theory and Its Applications

Copulas are mathematical objects that fully capture the dependence structure among random variables and hence offer great flexibility;

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Statistical Modeling Using Local Gaussian Approximation

discriminant. Reviews local dependence modeling with applications to time series and finance markets Introduces new techniques;

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Simulating Copulas

'The book remains a valuable tool both for statisticians who are already familiar with the theory of copulas and just need to develop;

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Direction Dependence in Statistical Modeling

incorporates the latest research for the statistical analysis of hypotheses that are compatible with the causal direction of dependence of variable;

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Copulas

analysis of possible solutions. An in-depth understanding of the methods to perform risk calculations are presented with information on how to;

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A First Course in Fuzzy Logic

Fourth Edition: Features new results on fuzzy sets of type-2 Provides more information on copulas for modeling dependence structures Includes;

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A First Course in Fuzzy Logic

Fourth Edition: Features new results on fuzzy sets of type-2 Provides more information on copulas for modeling dependence structures Includes;

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R In Finance And Economics

statistical methods like linear regression, econometrics (GARCH etc), Copulas, etc. Moreover, the book demonstrates latest research methods with;

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Counting Statistics for Dependent Random Events

, insurance and banking, where experts are confronted with counting variables in monitoring random events. In this new approach, combinatorial;

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Counting Statistics for Dependent Random Events

, insurance and banking, where experts are confronted with counting variables in monitoring random events. In this new approach, combinatorial;

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Simulating Copulas

This book provides the reader with a background on simulating copulas and multivariate distributions in general. It unifies the scattered;

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Asymmetric Dependence in Finance

correlation, and provides effective strategies for more profitable portfolio management. Beginning with a thorough explanation of the extent and;

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Practical Spreadsheet Risk Modeling for Management

straightforward. A one-stop resource for quantitative risk analysis, Practical Spreadsheet Risk Modeling for Management dispenses with the use of complex;

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Practical Spreadsheet Risk Modeling for Management

straightforward. A one-stop resource for quantitative risk analysis, Practical Spreadsheet Risk Modeling for Management dispenses with the use of complex;

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Renewable Energy Integration to the Grid

are validated with case studies with various standard test systems.;

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