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COPULATED MEASURES OF DEPENDENCE STRUCTURE IN ASSETS RETURNS Viviana Fernandez1 Abstract Copula modeling has become an increasingly popular tool in finance to model assets returns dependency. In essence,

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What is copula-based measures of dependence?

Copula-based measures of dependence are statistical tools used to quantify and analyze the relationship between two or more variables, by modeling their joint probability distribution function using copulas.

Who is required to file copula-based measures of dependence?

The requirement to file copula-based measures of dependence varies depending on the specific context or application. In some cases, it may be mandatory for certain financial institutions or regulatory bodies to report these measures as part of risk assessment or financial reporting processes.

How to fill out copula-based measures of dependence?

To fill out copula-based measures of dependence, one needs to select an appropriate copula function, estimate its parameters using historical data or other relevant information, and then compute the desired measure of dependence (such as a correlation or conditional probability). The specific methodology and steps required may vary depending on the copula model being used.

What is the purpose of copula-based measures of dependence?

The purpose of copula-based measures of dependence is to provide a more flexible and realistic way of modeling and analyzing the dependence structure between random variables. They are often used in risk management, finance, and insurance to understand and manage the joint behavior of multiple variables, such as asset returns or insurance claims.

What information must be reported on copula-based measures of dependence?

The information reported on copula-based measures of dependence depends on the specific context or application. However, it typically includes the selected copula function, estimated parameters, and the computed measure(s) of dependence, along with any relevant assumptions or limitations of the analysis.

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