We discuss a new notion of risk measures that preserve the property of coherence called Copula Conditional Tail Expectation (CCTE) . This measure describes the expected amount of risk that can be experienced given that a potential bivariate risk exceeds a bivariate threshold value, and provides an important measure for right-tail risk. Our goal is to propose an alternative risk measure which takes into account the fluctuations of losses and possible correlations between random variables  .
A new notion to risk measures preserving the coherence axioms, that we call Copula Conditional Tail Expectation (CCTE) , is given. This risk measure describes the expected amount of risk that can be experienced given that a potential bivariate risk exceeds a bivariate threshold value, and provides an important measure for right-tail risk. Our goal is to propose an alternative risk measure which takes into account the fluctuations of losses and possible correlations between random variables . Finally, our risk measure is applied to the real financial data .
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