In this paper, we model dependence between operational risks by allowing risk profiles to evolve stochastically in time and to be dependent. This allows for a flexible correlation structure where the dependence between frequencies of different risk categories and between severities of different...

This white paper presents analysis of Advisen Cyber Loss dataset (www.advisenltd.com/data/cyber-loss-data/) containing a historical view of cyber events, collected from reliable and publicly verifiable sources. The dataset analyzed in this study comprehends 132,126 cyber events during 2008-2020,...

During the COVID-19 pandemic, governments globally had to impose severe contact restriction measures and social mobility limitations in order to limit the exposure of the population to COVID-19. These public health policy decisions were informed by statistical models for infection rates in...

In this paper we demonstrate how to develop analytic closed form solutions to optimal multiple stopping time problems of direct relevance to applications in insurance for Operational Risk. Within this context we study a class of insurance products where the policy holder has the option to insure...

In this paper we assume a multivariate risk model has been developed for a portfolio and its capital derived as a homogeneous risk measure. The Euler (or gradient) principle, then, states that the capital to be allocated to each component of the portfolio has to be calculated as an expectation...

We set the context for capital approximation within the framework of the Basel II/III regulatory capital accords. This is particularly topical as the Basel III accord is shortly due to take effect. In this regard, we provide a summary of the role of capital adequacy in the new accord,...

In this study an exploration of insurance risk transfer is undertaken for the cyber insurance industry in the United States of America, based on the leading industry dataset of cyber events provided by Advisen. We seek to address two core unresolved questions. First, what factors are the most...