Select the weaknesses of VaR.   Doesn't satisfy the monotonicity condition   Doesn't satisfy the translation invariance condition   Doesn't satisfy the subadditivity condition   Doesn't satisfy the homogeneity condition   Tends to under-estimate extreme losses   Recognizes concentration of risks

If multicollinearity is perfect in a regression model the standard errors of the regression coefficients are Select one: Indeterminate small negative values Infinite values Determinate   What is the meaning of the term "heteroscedasticity"? Select one: The variance of the errors is not constant The errors are not linearly independent of one another The errors have non-zero mean the variance of the dependent variable is not constant   The coefficient estimated in the presence of heteroscedaticity are NOT Select one: Linear estimators Efficient estimators Unbiased estimators Consistent estimators   Heteroscedaticity is more likely a problem of  Select one: Pooled data cross-section data and time series data Cross-section data Time series data   Near multicollinearity occurs when Select one: Two or more explanatory variables are perfectly correlated with one another The explanatory variables are highly correlated with the dependent variable The explanatory variables are highly…

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Define Least Squares Regression Unbiased Estimators α^, β^, σ^²?