The ability of the Generalised Extreme Value and Generalised Logistic distributions to describe adequately extreme financial returns is examined. The empirical results strongly reject the Generalised Extreme Value in favour of the fatter tailed Generalised Logistic. This implies that risk measurements which are based on the Generalised Extreme Value may underestimate risk since it assigns lower probabilities to the really ruinous events located deep into the tails of the returns distribution
This paper seeks to characterise the distribution of extreme returns for a UK share index over the y...
We define the extreme values of any random sample of size n from a distribution function F as the ob...
We define the extreme values of any random sample of size n from a distribution function F as the ob...
The ability of the Generalised Extreme Value and Generalised Logistic distributions to describe ade...
The ability of the Generalised Extreme Value and Generalised Logistic distributions to describe adeq...
The ability of the Generalised Extreme Value (GEV) and Generalised Logistic (GL) distributions to fi...
The ability of the Generalised Extreme Value (GEV) and Generalised Logistic (GL) distributions to fi...
Risk management critically depends on the assumptions made about the distribution of stock returns. ...
This paper develops an unconditional and conditional extreme value approach to calculating value at ...
The ability of the Generalised Extreme Value, Generalised Logistic and Generalised Pareto distributi...
This paper seeks to characterise the distribution of extreme returns for a UK share index over the y...
textabstractA scientific way of looking beyond the worst-case return is to employ statistical extrem...
We compare the traditional GARCH models with a semiparametric approach based on extreme value theory...
We compare the traditional GARCH models with a semiparametric approach based on extreme value theory...
We compare the traditional GARCH models with a semiparametric approach based on extreme value theory...
This paper seeks to characterise the distribution of extreme returns for a UK share index over the y...
We define the extreme values of any random sample of size n from a distribution function F as the ob...
We define the extreme values of any random sample of size n from a distribution function F as the ob...
The ability of the Generalised Extreme Value and Generalised Logistic distributions to describe ade...
The ability of the Generalised Extreme Value and Generalised Logistic distributions to describe adeq...
The ability of the Generalised Extreme Value (GEV) and Generalised Logistic (GL) distributions to fi...
The ability of the Generalised Extreme Value (GEV) and Generalised Logistic (GL) distributions to fi...
Risk management critically depends on the assumptions made about the distribution of stock returns. ...
This paper develops an unconditional and conditional extreme value approach to calculating value at ...
The ability of the Generalised Extreme Value, Generalised Logistic and Generalised Pareto distributi...
This paper seeks to characterise the distribution of extreme returns for a UK share index over the y...
textabstractA scientific way of looking beyond the worst-case return is to employ statistical extrem...
We compare the traditional GARCH models with a semiparametric approach based on extreme value theory...
We compare the traditional GARCH models with a semiparametric approach based on extreme value theory...
We compare the traditional GARCH models with a semiparametric approach based on extreme value theory...
This paper seeks to characterise the distribution of extreme returns for a UK share index over the y...
We define the extreme values of any random sample of size n from a distribution function F as the ob...
We define the extreme values of any random sample of size n from a distribution function F as the ob...