Statistical regression analysis is a powerful and reliable method to determine the impact of
one or several independent variable (s) on a dependent variable. It is the most widely used …

Purpose This paper aims to examine the effect of concentration in the insurance sector on
insurer stability for a large set of developed and developing countries. In particular, the …

This paper analyses the factors that determine the solvency of insurance companies
operating in Spain. The selected time span, from 2008 to 2015, encompasses a period of …

The financial crisis of 2008 generated sizeable losses in the financial sector around the
world. Because regulators are used for predicting insurers' financial strength in order to …

This paper applies a multiobjective goal programming (GP) model to define the profile of the
most profitable insurers by focusing on 14 firm‐decision variables and considering different …

Financial innovation, green investments, or climate change are changing insurers' business
ecosystems, impacting their business behaviour and financial vulnerability. Supervisors and …

This paper provides evidence on factors affecting the level of the regulatory solvency ratio of
Spanish insurers from 2005–2012 by employing the two-step system generalised method of …

The first objective of this paper is to describe from a critical point of view the main types of
fuzzy regression methods: those based on minimum fuzziness principle, those that are built …

ABSTRACT Enterprise Risk Management (ERM) is based on the concept of managing all
risks in an integrated, holistic fashion. This research analyzes factors that influence a …

This paper develops several expressions to quantify claim provisions to account in financial
statements of a non-life insurance company under the hypothesis of a fuzzy environment …