This paper investigates the characteristics of the operational loss data formation mechanism that takes place between the date of discovery of a new operational risk event and the final settlement date on which all losses are materialized. The first loss that characterizes the initial impact of...

Operational risk incidences are likely to increase the degree of information asymmetry between firms and investors. We analyze operational risk disclosures by US financial firms during 1995–2009 and their impact on different measures of information asymmetry in the firms’ equity markets....

We investigate the disclosures of material weaknesses in internal control mandated for Japanese firms under the 2006 Financial Instruments and Exchange Law. We find that the presence of a material weakness is more likely for firms that are younger, have better growth prospects, have a volatile...

For purposes of Value-at-Risk estimation, we consider several multivariate families of heavy-tailed distributions, which can be seen as multidimensional versions of Paretian stable and Student's t distributions allowing different marginals to have different indices of tail thickness. After a...

Asset management and pricing models require the proper modeling of the return distribution of financial assets. While the return distribution used in the traditional theories of asset pricing and portfolio selection is the normal distribution, numerous studies that have investigated the...

In the paper, we generalize the classical benchmark tracking problem by introducing the class of relative deviation metrics. We introduce an axiomatic description of the benchmark tracking problem and a classification inspired by the theory of probability metrics. Two examples of such metrics...

We consider a new approach towards stochastic dominance rules which allows measuring the degree of domination or violation of a given stochastic order and represents a way of describing stochastic orders in general. Examples are provided for the n-th order stochastic dominance and stochastic...