Cost efficiency of insurance firms in Ghana

The huge infrastructural deficit in Africa requires the establishment of an efficient insurance industry in the pursuance of economic development. Unfortunately, global statistics reveal low patronage of insurance in developing countries, thus making its impact limited in the region. To position the industry for economic development, this study utilizes the stochastic frontier technique to undertake a thorough analysis on the cost efficiency of insurers from the perspective of developing economies using Ghana as a case study. The results on the 30 insurers studied from 2005 to 2014 indicate that insurers in Ghana operate with about 53.8% average cost inefficiency. This stands to confirm the long existed low performance perception of Ghanaians about the industry. Factors identified to explain the cost inefficiencies were firm size, market share, capitalization, reinsurance, regulation, and business type. Several policy recommendations that can help boost the cost efficiency of insurers were derived from the results.     

The value of implementing enterprise risk management: Evidence from Taiwan’s financial industry

The primary purpose of this study is to examine whether companies in Taiwan’s financial industry benefit from enterprise risk management (ERM) adoption and how much value ERM activity creates. Our result indicates that a financial company implementing ERM benefits by adding 5.37% value compared to non-users. ERM adoption also significantly helps a company improve its revenue and cost efficiencies by 9.22% and 16.34%, respectively. Subsector analysis of the financial industry shows that banks and property/liability (P/L) insurers adopting ERM generate more benefits in cost savings and revenue efficiency.     

Interest rate derivatives and risk exposure: Evidence from the life insurance industry

Our primary aim in this study is to determine the relation that exists between the use of interest rate derivatives by public-traded life insurance firms and their exposure to interest rate risk. Based upon the annual reports and 10-K filings of US life insurers, covering the years 2000–2016, we find that those insurers with greater inherent exposure to interest rate risk also have a propensity for extensive engagement in the use of interest rate derivatives. We further reveal that life insurers with a propensity for the extensive use of such instruments during the 2000–2009 sub-period tend to have greater observable exposure to interest rate risk. However, during the 2010–2016 sub-period life insurers that use more interest rate derivatives tend to have smaller interest rate exposure. Since restructuring the balance sheet of a life insurer is costly, our results suggest that managers probably use derivatives as a means of modifying their risk tolerance to achieve the same results of direct duration matching.     

Efficiency of insurance firms with endogenous risk management and financial intermediation activities

Risk management is now present in many economic sectors. However, none of existing studies consider risk management as a potential determinant of firm performance. In this paper, we investigate the role of risk management and financial intermediation in creating value for financial institutions by analyzing U.S. property-liability insurers. Our main goal is to test how risk management and financial intermediation activities create value for insurers by enhancing economic efficiency through cost reductions. We consider these two activities as intermediate outputs and estimate their shadow prices. Insurer cost efficiency is measured using an econometric cost function. The econometric results show that both activities significantly increase the efficiency of the property-liability insurance industry.     

Estimation of market power in the presence of firm level inefficiencies

“The quiet life hypothesis” (QLH) by Hicks (1935) argues that, due to management’s subjective cost of reaching optimal profits, firms use their market power to allow inefficient allocation of resources. Increasing competitive pressure is therefore likely to force management to work harder to reach optimal profits. Another hypothesis, which also relates market power to efficiency is “the efficient structure hypothesis” (ESH) by Demsetz (1973). ESH argues that firms with superior efficiencies or technologies have lower costs and therefore higher profits. These firms are assumed to gain larger market shares which lead to higher concentration. Ignoring the efficiency levels of the firms in a market power model might cause both estimation and interpretation problems. Unfortunately, the literature on market power measurement largely ignores this relationship. In the context of a dynamic setting, we estimate the market power of US airlines in two city-pairs by both allowing inefficiencies of the firms and not allowing inefficiencies of the firms. Using industry level cost data, we estimate the cost function parameters and time-varying efficiencies. An instrumental variables version of the square root Kalman filter is used to estimate time-varying conduct parameters.     

Comparison of Frontier Efficiency Methods: An Application to the U.S. Life Insurance Industry

The objective of this paper is to provide new information on the performance of efficiency estimation methods by applying a wide range of econometric and mathematical programming techniques to a sample of U.S. life insurers. Average efficiencies differ significantly across methods. The efficiency rankings are well-preserved among the econometric methods; but the rankings are less consistent between the econometric and mathematical programming methods and between the data envelopment analysis and free disposal hull techniques. Thus, the choice of estimation method can have a significant effect on the conclusions of an efficiency study. Most of the insurers in the sample display either increasing or decreasing returns to scale, and stock and mutual insurers are found to be equally efficient after controlling for firm size.     

Participation of suppliers in greening supply chains: An empirical analysis of German automotive suppliers

The public increasingly holds companies accountable for environmental misbehavior in their supply chains. To offset that risk corporations start initiatives to green their supply chains. Yet suppliers often fail to properly participate in these initiatives. This paper presents a conceptual framework to explain supplier participation in green initiatives, by investigating customer requirements, supplier readiness, relational norms and customer investment as possible drivers. The framework and hypotheses were tested using survey data of 54 German automotive suppliers. Partial least squares methodology was deployed for hypothesis testing. The study found supplier readiness and customer requirements to be significant drivers in supplier participation. Relational norms and customer investment did not per se yield significant importance for explaining supplier participation, but when taking into account firm size, the data suggests that cooperative relation norms and customer investment work as an additional driver in green supply chain management for larger suppliers. This research is one of the few studies that explore drivers for supply chain participation at the supplier's level.     

Default estimation,correlated defaults,and expert information

Capital allocation decisions are made on the basis of an assessment of creditworthiness. Default is a rare event for most segments of a bank's portfolio and data information can be minimal. Inference about default rates is essential for efficient capital allocation, for risk management and for compliance with the requirements of the Basel II rules on capital standards for banks. Expert information is crucial in inference about defaults. A Bayesian approach is proposed and illustrated using prior distributions assessed from industry experts. A maximum entropy approach is used to represent expert information. The binomial model, most common in applications, is extended to allow correlated defaults yet remain consistent with Basel II. The application shows that probabilistic information can be elicited from experts and econometric methods can be useful even when data information is sparse. Copyright © 2009 John Wiley & Sons, Ltd.     

BANK CAPITAL REQUIREMENTS, BUSINESS CYCLE FLUCTUATIONS AND THE BASEL ACCORDS: A SYNTHESIS

Abstract.  In order to survey the mechanisms through which the introduction of Basel II bank capital requirements is likely to accentuate the procyclical tendencies of banking, this paper brings together the theoretical literature on the bank capital channel of propagation of exogenous shocks and the literature on the regulatory framework of capital requirements under the Basel Accords. We conclude that the theoretical models that revisit the bank capital channel under the new accord generally support the Basel II procyclicality hypothesis and that the magnitude of the procyclical effects essentially depends on (i) the composition of banks' asset portfolios, (ii) the approach adopted by banks to compute their minimum capital requirements, (iii) the nature of the rating system used by banks, (iv) the view adopted concerning how credit risk evolves through time, (v) the capital buffers over the regulatory minimum held by the banking institutions, (vi) the improvements in credit risk management and (vii) the supervisor and market intervention under Basel II. The recent events and instability in financial markets all over the world have led the procyclicality issue to enter the agendas of several political international  fora  and some measures to mitigate procyclicality are being put forward. The bank capital channel literature should now play an important role in evaluating their effectiveness.     

THE TEN COMMANDMENTS FOR OPTIMIZING VALUE-AT-RISK AND DAILY CAPITAL CHARGES

Abstract.  Credit risk is the most important type of risk in terms of monetary value. Another key risk measure is market risk, which is concerned with stocks and bonds, and related financial derivatives, as well as exchange rates and interest rates. This paper is concerned with market risk management and monitoring under the Basel II Accord, and presents Ten Commandments for optimizing value-at-risk (VaR) and daily capital charges, based on choosing wisely from (1) conditional, stochastic and realized volatility; (2) symmetry, asymmetry and leverage; (3) dynamic correlations and dynamic covariances; (4) single index and portfolio models; (5) parametric, semi-parametric and non-parametric models; (6) estimation, simulation and calibration of parameters; (7) assumptions, regularity conditions and statistical properties; (8) accuracy in calculating moments and forecasts; (9) optimizing threshold violations and economic benefits; and (10) optimizing private and public benefits of risk management. For practical purposes, it is found that the Basel II Accord would seem to encourage excessive risk taking at the expense of providing accurate measures and forecasts of risk and VaR.     

Are systems of innovation in Eastern Europe efficient?

This paper explores the determinants of productivity in the countries of Eastern Europe (EE) through the perspective of ‘narrow’ and ‘broad’ national systems of innovation (NSI). Based on panel econometrics, it examines the extent to which systems in EE could be considered ‘(in)efficient’. Our results suggest that the EE countries have lower levels of productivity than might be expected given their research and development (R&D), innovation and production capabilities. The inefficiencies of ‘broad’ NSI are compounded by the inefficiencies of ‘narrow’ NSI in terms of generating numbers of science and technology publications and resident patents relative to R&D employment compared to the rest of the world. Our results point to an important distinction between technology and production capability as the drivers of productivity improvements and provide some policy implications.     

ESG controversies and bank risk taking

This study investigates how environmental, social, and governance controversies affect bank risk taking. By estimating a dynamic panel data model from 2011 to 2020, we find evidence that banks with fewer ESG controversies take less risk. Banks with a lower number of ESG controversies show their compliance with the implementation of ESG strategies to reduce risk, as evidenced by lower risk-weighted assets and higher Z-scores. The present study supports the recent guidelines on climate-related and environmental risks published by the Basel Committee on Banking Supervision and the European Central Bank. Therefore, the main results strengthen the need for the integration not only of social and governance risks but also of climate-related and environmental risks in banks' risk management framework.     

Efficiency evaluation of China's high-tech industry with a multi-activity network data envelopment analysis approach

This paper employs a Russell multi-activity network DEA model and divides the overall innovation process into the upstream Research and Development (R&D) process and the downstream commercialization process to appraise the innovation performance of China's high-tech industries from 2009 to 2013. This model can deal with the problems of intermediates, shared inputs and slack-based measure in a unified framework, and the result can provide policy makers with process-specific information on how to improve the innovation performance of China's high-tech industries. The main findings are presented as follows. First, the overall efficiency of China's high-tech industries still remains at a low level, which has its roots mainly in commercialization inefficiencies other than R&D inefficiencies. Second, for most provinces, their R&D efficiencies do not match up with their commercialization efficiencies. Finally, the innovative activities of China's high-tech industries should be driven by the market demand -oriented for the improvement of innovation efficiency.     

Persistent and transient cost efficiency—an application to the Swiss hydropower sector

Electricity prices on the European market have decreased significantly over the past few years, resulting in a deterioration of Swiss hydropower firms’ competitiveness and profitability. One option to improve the sector’s competitiveness is to increase cost efficiency. The goal of this study is to quantify the level of persistent and transient cost efficiency of individual firms by applying the generalized true random effects (GTRE) model introduced by Colombi et al. (Journal of Productivity Analysis 42(2): 123–136, 2014) and Filippini and Greene (Journal of Productivity Analysis 45(2): 187–196, 2016). Applying this newly developed GTRE model to a total cost function, the level of cost efficiency of 65 Swiss hydropower firms is analyzed for the period between 2000 and 2013. A true random effects specification is estimated as a benchmark for the transient level of cost efficiency. The results show the presence of both transient as well as persistent cost inefficiencies. The GTREM predicts the aggregate level of cost inefficiency to amount to 21.8% (8.0% transient, 13.8% persistent) on average between 2000 and 2013. These two components differ in interpretation and implication. From an individual firm’s perspective, the two types of cost inefficiencies might require a firm’s management to respond with different improvement strategies. The existing level of persistent inefficiency could prevent the hydropower firms from adjusting their production processes to new market environments. From a regulatory point of view, the results of this study could be used in the scope and determination of the amount of financial support given to struggling firms.     

Some statistical and DEA evaluations of relative efficiencies of public and private institutions of higher learning

This paper uses the Charnes, Cooper and Rhodes (CCR) ratio form of Data Envelopment Analysis (DEA) (1) to examine how DEA can be utilized in analyzing different aspects of production behavior of institutions of higher learning (IHLs) as an alternative to more traditional approaches such as econometric-regression models, and (2) to compare “specifically” relative efficiencies of public and private doctoral-granting universities in the U.S. and to analyze technical and scale efficiencies of those universities. The separation of doctoral-granting universities into universities with and without medical colleges represents a departure from preceding studies. This division proved very important in uncovering substantial differences in behavior between the two groups even when using the “statistical averaging” approaches that were customary in previous studies. For both groups, public universities proved more efficient than private universities when managerial and program inefficiencies are present in the data. When managerial inefficiencies are disentangled from the data and medical schools are not present, private universities have more efficient programs. However, their managers are less efficient users of program opportunities than are managers in public universities. Another portion of the current study dealt with returns-to-scale possibilities. These differed markedly (even on average) between IHLs with and without medical schools. Moreover, analyses by DEA showed marked ranges of variation for returns-to-scale possibilities for individual IHLs within each group. These possibilities have generally been concealed by the statistical averaging utilized in previous econometric studies. Further, their identification is beyond the ability of the usual types of one-at-a-time ratio and trend analyses.     

Contingent capital,capital structure and investment

We examine the interaction between investment and financing policies in a dynamic model for a firm with existing assets-in-place and a growth option, of which investment cost is financed with equity and contingent convertible bonds (CoCos). We attempt to clarify how CoCos impact on investment timing, capital structure and inefficiencies arising from debt overhang and asset substitution. We show that there is a conversion ratio (the fraction of equity allocated to CoCo holders upon conversion) to eliminate the inefficiencies. Our conclusions predict that debt leverage decreases with investment option payoff factor and the average appreciation rate of the cash flow. In contrast to traditional corporate finance theory saying that a firm's value decreases globally with business risk, our model indicates that it might first decrease and then increase with asset volatility.     

Estimation of technical and allocative inefficiency: A primal system approach

The estimation of technical and allocative inefficiencies using a flexible (translog) cost system is found to be quite difficult, especially when both the inefficiencies are random. In this paper we use the alternative primal system consisting of the production function (translog) and the first-order conditions of cost minimization. The estimation of the primal system is more straightforward and it enables us to estimate observation-specific technical and allocative inefficiencies, and their impact on input demand and cost. We use data on steam-electric generating plants from the U.S. to estimate the model using both Cobb–Douglas and translog production functions.     

Has the Basel Accord improved risk management during the global financial crisis?

The Basel II Accord requires that banks and other Authorized Deposit-taking Institutions (ADIs) communicate their daily risk forecasts to the appropriate monetary authorities at the beginning of each trading day, using one or more risk models to measure Value-at-Risk (VaR). The risk estimates of these models are used to determine capital requirements and associated capital costs of ADIs, depending in part on the number of previous violations, whereby realised losses exceed the estimated VaR. In this paper we define risk management in terms of choosing from a variety of risk models, and discuss the selection of optimal risk models. A new approach to model selection for predicting VaR is proposed, consisting of combining alternative risk models, and we compare conservative and aggressive strategies for choosing between VaR models. We then examine how different risk management strategies performed during the 2008–09 global financial crisis. These issues are illustrated using Standard and Poor's 500 Composite Index.