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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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Copulas

apply them to your own. Copulas involves a detailed analysis of the field of financial risk management and derivative pricing, and: introduces;

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Principles of Copula Theory

among components of a random vector using copulas. It then presents copulas from the point of view of measure theory, compares methods for the;

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Elements of Copula Modeling with R

This book introduces the main theoretical findings related to copulas and shows how statistical modeling of multivariate continuous;

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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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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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Copula Methods in Finance

explains copulas by means of applications to major topics in derivative pricing and credit risk analysis. Examples include pricing of the main;

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Missing Data Methods

Analysis of Multivariate Sample Selection Models Using Gaussian Copulas; Consistent Estimation and Orthogonality; and Likelihood-Based Estimators;

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Missing Data Methods

Analysis of Multivariate Sample Selection Models Using Gaussian Copulas; Consistent Estimation and Orthogonality; and Likelihood-Based Estimators;

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Copulas for Risk Management

applications of copulas in risk management, offers a many-faceted comparison and discussions on dependence modeling, and suggests some directions for;

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R In Finance And Economics

reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model building using;

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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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Statistical Analysis of Financial Data in S-plus

introduction of tools for the estimation and simulation of heavy tail distributions and copulas, the computation of measures of risk, and the principal;

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Copula Modeling

Explores the copula approach for econometrics modeling of joint parametric distributions and demonstrates that practical implementation and;

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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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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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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 New Dynamic Public Finance

functional form restrictions on taxes. In response to these problems, the new dynamic public finance was developed to study the design of optimal;

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Mathematical and Statistical Methods for Actuarial Sciences and Finance

Mathematical and Statistical Methods for Actuarial Sciences and Finance (MAF), held at Universidad Carlos III de Madrid (Spain), 4th-6th April 2018;

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Counting Statistics for Dependent Random Events

dependence structure within groups is taken into account. The original problems can then be modeled using new classes of copulas, referred to here as;

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Counting Statistics for Dependent Random Events

dependence structure within groups is taken into account. The original problems can then be modeled using new classes of copulas, referred to here as;

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Copulas and their Applications in Water Resources Engineering

in many cases. Recent years have therefore witnessed numerous applications of copulas to multivariate hydrologic frequency analyses. This book;

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Dynamic And Stochastic Efficiency Analysis

This book extends the dynamic and stochastic analysis of economic efficiency by using the recent techniques of data envelopment;

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Continuous-Time Models in Corporate Finance, Banking, and Insurance

intermediaries, including banks and insurance companies. The authors begin by recalling the ways that option-pricing techniques can be employed for the;

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The Foundations of Continuous Time Finance

continuous time model, dynamic portfolio selection, equilibrium models, derivative pricing and, finally, term structure and other applications. It;

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