Table 2

Explanatory variables and their expected signs in the Z-score regressions

Explanatory variableDefinitionExpected signData sourceReferences
SizeNatural log of total assets+Authors' calculation using DGSFP dataChen and Wong (2004), Pasiouras and Gaganis (2013), Shim (2017) 
ProfitabilityProfits after tax divided by total assets+Authors' calculation using DGSFP dataSharpe and Stadnik (2007), Caporale et al. (2017) 
CapitalizationEquity-to-total assets ratio+Authors' calculation using DGSFP dataShim (2011), Altuntas and Rauch (2017) 
ReinsuranceReinsurance premiums paid divided by total premiums earned+Authors' calculation using DGSFP dataHo et al. (2013), Mankaï and Belgacem (2016), Caporale et al. (2017) 
Portfolio riskEquity securities in the asset portfolio divided by total assets−Authors' calculation using DGSFP dataCummins et al. (2017) 
Underwriting riskSD of the loss ratio over the sample period, defined as incurred losses divided by premiums earned, net of reinsurance−Authors' calculation using DGSFP dataAltuntas and Rauch (2017) 
Long-tailed businessTechnical provisions (loss reserves) divided by incurred losses−Authors' calculation using DGSFP dataSharpe and Stadnik (2007), de Haan and Kakes (2010), Ho et al. (2013) 
MutualDummy variable that takes on a value of 1 for mutual companies and 0 otherwise+Authors' calculation using DGSFP dataPasiouras and Gaganis (2013), Shim (2017), Altuntas and Rauch (2017) 
Life insuranceDummy variable that takes on a value of 1 if life technical provisions are at least 80% of overall technical provisions and 0 otherwise+Authors' calculation using DGSFP dataChen and Wong (2004), Pasiouras and Gaganis (2013), Eling and Marek (2013) 
Industry concentrationHerfindahl-Hirschman index, calculated as the sum of the squares of all insurance companies' market shares in terms of premiums written (as a percentage)±MAPFRE (2018) Ho et al. (2013), Caporale et al. (2017) 
Year dummiesDummy variables used to control for macroeconomic conditions and time-specific effects   

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