This study investigates the firm-specific factors affecting the profitability of non-life insurance companies operating in Turkey. For this purpose, data of 24 non-life insurance companies operating in Turkey from the period 2006–2013 were brought together to obtain 192 observed panel data sets. In this study, profitability is measured by two different variables: technical profitability ratio a...

Monte Carlo simulation is used to develop a flexible framework to measure the profitability, risk, and competitiveness of any insurance product. A genetic algorithm is then used to seek the optimum asset allocations that form the profitability-risk-competitiveness frontier and to examine the profitability, risk, and competitiveness trade-off's. We also show how to select the appropriate asset a...

This essay elaborates on the usefulness of embracing complexity theory, modeling outcomes rather than directionality, and modeling complex rather than simple outcomes in strategic management. Complexity theory includes the tenet that most antecedent conditions are neither sufficient nor necessary for the occurrence of a specific outcome. Identifying a firm by individual antecedents (i.e., non-i...

In summary, I think the industry is doing the right things to return to profitability. Rates are increasing, underwriting and products are tightening, claim administration is becoming more proactive, and reserves are being strengthened. I think this will lead to future profitability, and future profitability will attract some new companies into the marketplace. The real long-term question is, o...

Using aggregate data from the Annual Survey of Industries, we analyze profitability in India’s organized manufacturing sector from 1982-83 to 2012-13. Over the whole period of analysis, the rate of profit grew at about 1 percent per annum, primarily driven by a rising share of profits. We use structural break tests to identify medium and short run regimes. We find two medium run regimes, one of...

The purpose of this paper is to investigate whether neural networks and, especially the Kohonen’s self-organizing map network, can be used in profitability analysis in distribution. We focus on the physical distribution part of the supply chain and build a neural network model a profitability map using shipment data from a large company. We show how the profitability map can be used in an effic...

W study the impact of operational performance on profitability in the context of the U.S. domestic airline industry. In addition, we investigate the impact of focus [Skinner, W. 1974. The focused factory. Harvard Bus. Rev. 52(3) 113–121] on profitability in services. We use quarterly data on all major carriers, available since the introduction of required reporting of service indicators to the ...

profitability as the most important factor in decision-making, has always been considered by stake­holders in the company's profitability. also can be a basis for evaluating the performance of the managers. the ability to predict the profitability can be very useful to help decision-makers. that's why one of the most important issues is the expected profitability. the importance of th...

Profitability as the most important factor in decision-making, has always been considered by stake­holders in the company's profitability. Also can be a basis for evaluating the performance of the managers. The ability to predict the profitability can be very useful to help decision-makers. That's why one of the most important issues is the expected profitability. The importance of these foreca...

This paper analyzes the impact of liquid asset holdings on bank profitability for a sample of Iranian banks. Using the Generalized Method of Moment (GMM), this study analyzes the profitability of listed banks using unbalanced panel data over the period of 2002-2009. We use the liquidity asset and liquidity asset-ratio square for estimating liquid asset and profitability relationship. The e...