We quantify and endogenize the model risk associated with quantile estimates using a maximum entropy distribution (MED) as benchmark. Moment-based MEDs cannot have heavy tails, however generalized beta generated distributions have attractive properties for popular applications of quantiles....

The development of the methods of correlation and regression analysis at the turn of the 20th century, led to their use in attempting to identify relationships between economic variables. However, caution was soon expressed that correlating series with ‘secular’ trends was likely to be...

This study evaluates a number of methods of reducing the bias and mean squared error of log-periodogram (LP) based methods to estimate the long-memory parameter and, in addition, assesses the actual coverage of the associated confidence intervals, considering both tails and the width of the...

Sweeping regulatory reforms in Britain resulted in the formation of the Financial Services Authority (FSA). Because greater transparency of information is a major objective for this Act, shifting from one information system to another has re-distributive effects. We identify these effects at a...

The rise of conglomerate banks and their interrelated balance sheets, pose new challenges to theories of financial regulation. We measure the impact of recent legislative changes in Australia upon systemic risk, for banking and near banking sectors, and demonstrate a significant reduction post...