The Impact of Enterprise Risk Management on the Marginal Cost of Reducing Risk: Evidence from the Insurance Industry
By David L. Eckles, Robert E. Hoyt, Steve Miller. 2014
193 citations recorded by the source corpus.
Subfields: Accounting, Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/b1720fc144431cdd25924f18260a14c1be977e9b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- P. Lechner
- Y. Tse
- Muhammad Anwar
- Sorin Gabriel Anton
- Timothy A. Krause
- Amin Ur Rehman
- Anca Elena Afloarei Nucu
- Nadine Gatzert
In Economics and Econometrics
- P. Lechner
- Y. Tse
- Muhammad Anwar
- Sorin Gabriel Anton
- Timothy A. Krause
- Anca Elena Afloarei Nucu
- Nadine Gatzert
- Timo Teräsvirta
Citations in the corpus
- Enterprise Risk Management: A Literature Review and Agenda for Future Research (2020, methodology): “On the other hand, most of the past studies on financial institutions have only concentrated on insurance companies (Yow and Sherris 2008; Hoyt and Liebenberg 2011; Altuntas et al. 2011; Eckles et al. 2014; Bohnert et al. 2019).”
- Mediating role of enterprise risk management practices between business strategy and SME performance (2019, background): “Therefore, when firms implement ERM practices, their marginal costs decrease which in turn lead to high profitability and firm value (Eckles et al., 2014).”
- Determinants and value of enterprise risk management: empirical evidence from Germany (2017, methodology): “Farrell and Gallagher (2015) use the RIMS RMMmodel as a proxy for ERM implementation for the period from 2006 to 2011. The sample is composed of 225 international firms from various industries. 7. Gordon, Loeb, and Tseng (2009) use the excess market return as a proxy for firm performance, Grace et a”
- Risk management and firm value: recent theory and evidence (2016, background): “Unfortunately, only Eckles et al. (2014) and the previously mentioned studies of Bolton et al. (2011) and Gamba and Triantis (2014) apply an analytical approach to ERM, and this area may prove fruitful for future research.”