Gregory P. Nini

Bio: Gregory P. Nini is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Liability insurance & Capital intensity. The author has an hindex of 1, co-authored 1 publications receiving 209 citations.

Optimal Capital Utilization by Financial Firms: Evidence from the Property-Liability Insurance Industry

Abstract: Capitalization levels in the property-liability insurance industry have increased dramatically in recent years—the capital-to-assets ratio rose from 25% in 1989 to 35% by 1999. This paper investigates the use of capital by insurers to provide evidence on whether the capital increase represents a legitimate response to changing market conditions or a true inefficiency that leads to performance penalties for insurers. We estimate “best practice” technical, cost, and revenue frontiers for a sample of insurers over the period 1993–1998, using data envelopment analysis, a non-parametric technique. The results indicate that most insurers significantly over-utilized equity capital during the sample period. Regression analysis provides evidence that capital over-utilization primarily represents an inefficiency for which insurers incur significant revenue penalties.

Evaluation of research in efficiency and productivity:a survey and analysis of the first 30 years of scholarly literature in DEA

Abstract: Since the original Data Envelopment Analysis (DEA) study by Charnes et al. [Measuring the efficiency of decision-making units. European Journal of Operational Research 1978;2(6):429–44], there has been rapid and continuous growth in the field. As a result, a considerable amount of published research has appeared, with a significant portion focused on DEA applications of efficiency and productivity in both public and private sector activities. While several bibliographic collections have been reported, a comprehensive listing and analysis of DEA research covering its first 30 years of history is not available. This paper thus presents an extensive, if not nearly complete, listing of DEA research covering theoretical developments as well as “real-world” applications from inception to the year 2007. A listing of the most utilized/relevant journals, a keyword analysis, and selected statistics are presented.

Does Enterprise Risk Management Increase Firm Value

Abstract: Enterprise Risk Management (ERM) has emerged as a construct that ostensibly overcomes limitations of silo-based traditional risk management (TRM), yet little is known about its effectiveness. The scant research on the relationship between ERM and firm performance has offered mixed findings, and has been limited by the lack of a suitable proxy for the degree of ERM implementation. Using Standard and Poor’s (S&P) newly available risk management rating, we find evidence of a positive relation between increasing levels of TRM capability and firm value but no additional increase in value for firms achieving a higher ERM rating. Considering these results, we suggest directions for future research.

Does Enterprise Risk Management Increase Firm Value

Abstract: Enterprise risk management (ERM) has emerged as a construct that ostensibly overcomes limitations of silo-based traditional risk management (TRM), yet little is known about its effectiveness. The s...

Efficiency in the international insurance industry: A cross-country comparison

Abstract: The purpose of this paper is to provide new empirical evidence on frontier efficiency measurement in the international insurance industry, a topic of great interest in the academic literature during the last several years. A broad efficiency comparison of 6462 insurers from 36 countries is conducted. Different methodologies, countries, organizational forms, and company sizes are compared, considering life and non-life insurers. We find a steady technical and cost efficiency growth in international insurance markets from 2002 to 2006, with large differences across countries. Denmark and Japan have the highest average efficiency, whereas the Philippines is the least efficient. Regarding organizational form, the results are not consistent with the expense preference hypothesis, which claims that mutuals should be less efficient than stocks due to higher agency costs. Only minor variations are found when comparing different frontier efficiency methodologies (data envelopment analysis, stochastic frontier analysis).

Analyzing Firm Performance in the Insurance Industry Using Frontier Efficiency and Productivity Methods

Abstract: This chapter reviews the modern frontier efficiency and productivity methodologies that have been developed to analyze firm performance, emphasizing applications to the insurance industry. The focus is on the two most prominent methodologies—stochastic frontier analysis using econometrics and non-parametric frontier analysis using mathematical programming. The chapter considers the underlying theory of the methodologies as well as estimation techniques and the definition of inputs, outputs, and prices. Seventy-four insurance efficiency studies are identified from 1983 to 2011, and 37 chapters published in upper tier journals from 2000 to 2011 are reviewed in detail. Of the 74 total studies, 59.5% utilize data envelopment analysis as the primary methodology. There is growing consensus among researches on the definitions of inputs, outputs, and prices.