Risky business: Data on trading results for UK general insurance firms during and after the global financial crisis

This article contains dataset on the trading results for UK general insurance industry performance during and after the global financial crisis. The data covers the net written premiums by line of business and trading results for UK general insurance firms over a decade period (2007–2016). Additiona...

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Main Author: Oluwasoye P. Mafimisebi
Format: Article
Language:English
Published: Elsevier 2018-12-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340918314987
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spelling doaj-d7dd4fd60518466ba0e9863d20f36dc22020-11-24T21:47:55ZengElsevierData in Brief2352-34092018-12-012123842389Risky business: Data on trading results for UK general insurance firms during and after the global financial crisisOluwasoye P. Mafimisebi0Leicester Castle Business School De Montfort University, LE1 9BH Leicester, United KingdomThis article contains dataset on the trading results for UK general insurance industry performance during and after the global financial crisis. The data covers the net written premiums by line of business and trading results for UK general insurance firms over a decade period (2007–2016). Additionally, the data comprises areas that are peculiar to evaluate general insurance business such as net written premiums, underwriting results, claims incurred, investment income and trading results which makes it important to investigate the probability of default of different business lines and insolvency risk. The data presented could serve as useful tool to supervise local insurance firms and take earlier action in the case of risky firms before they breach solvency capital requirements. The data are useful to evaluate growth performance of UK non-life insurance industry which can be compare with other countries. Likewise, the data analysis can allow for measurement of insurance firms competitiveness and detect systemic risk which may disrupt the financial industry. The uniqueness of this data is its focus on insurance business as risky which is an area where Solvency II concentrates on as a risk-based approach to prevent the failure of insurance firms. The failure of insurance companies may disrupt the financial industry, increase systemic risk and affect negatively the real economy. Therefore, the extent to which the determinants of insolvency risk for UK general insurance firms can be established the better the attractiveness of the sector and improve risk regulation.http://www.sciencedirect.com/science/article/pii/S2352340918314987
collection DOAJ
language English
format Article
sources DOAJ
author Oluwasoye P. Mafimisebi
spellingShingle Oluwasoye P. Mafimisebi
Risky business: Data on trading results for UK general insurance firms during and after the global financial crisis
Data in Brief
author_facet Oluwasoye P. Mafimisebi
author_sort Oluwasoye P. Mafimisebi
title Risky business: Data on trading results for UK general insurance firms during and after the global financial crisis
title_short Risky business: Data on trading results for UK general insurance firms during and after the global financial crisis
title_full Risky business: Data on trading results for UK general insurance firms during and after the global financial crisis
title_fullStr Risky business: Data on trading results for UK general insurance firms during and after the global financial crisis
title_full_unstemmed Risky business: Data on trading results for UK general insurance firms during and after the global financial crisis
title_sort risky business: data on trading results for uk general insurance firms during and after the global financial crisis
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2018-12-01
description This article contains dataset on the trading results for UK general insurance industry performance during and after the global financial crisis. The data covers the net written premiums by line of business and trading results for UK general insurance firms over a decade period (2007–2016). Additionally, the data comprises areas that are peculiar to evaluate general insurance business such as net written premiums, underwriting results, claims incurred, investment income and trading results which makes it important to investigate the probability of default of different business lines and insolvency risk. The data presented could serve as useful tool to supervise local insurance firms and take earlier action in the case of risky firms before they breach solvency capital requirements. The data are useful to evaluate growth performance of UK non-life insurance industry which can be compare with other countries. Likewise, the data analysis can allow for measurement of insurance firms competitiveness and detect systemic risk which may disrupt the financial industry. The uniqueness of this data is its focus on insurance business as risky which is an area where Solvency II concentrates on as a risk-based approach to prevent the failure of insurance firms. The failure of insurance companies may disrupt the financial industry, increase systemic risk and affect negatively the real economy. Therefore, the extent to which the determinants of insolvency risk for UK general insurance firms can be established the better the attractiveness of the sector and improve risk regulation.
url http://www.sciencedirect.com/science/article/pii/S2352340918314987
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