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The purpose of this study is to assess the level and variability of Ghanaian property and liability insurer’s reserve estimates to examine its sources and ascertain if reserve errors are random or not (i.e. manipulated or not).

It uses information on insurer claim reserve provisions, claims outstanding, claims incurred and claims paid for the period of 2000-2010. Categorizing the sources of variation as endogenous and exogenous, the authors use the panel correlated standard error regression model to determine sources and magnitude of industry reserve error.

The study finds that size, age, lag of loss reserve error, inflation rate and real gross domestic product are significant in determining the degree of reserve error variation. Type of ownership (domestic or foreign) is, however, not a significant source of variation. Further, the authors found that industry reserve errors are random (not manipulated) across firms, suggesting that sampled insurers act independently on reserve error decision making and are not influenced by industry trends and competition.

The main research study limitation is the difficulty involved in obtaining annual statements from insurance companies in Ghana. Reluctance of companies to make statements available impeded on the smooth flow of the study during data collection.

Policy-wise, this suggest that regulatory bodies can uniquely set reserve error levels for existing firms with little influence on competition. Further, the Ghanaian insurance regulator does not to focus on the type of ownership (foreign or local) when setting regulatory standards. However, size of the company and age (length of operation) should be considered.

This paper is the first empirical study to examine the loss reserve error and loss reserve variability of Ghanaian property and liability insurance companies.

The purpose of this paper is to investigate two audit committee characteristics – independence and expertise of the audit committee – and the property‐liability insurers' financial reporting quality, which is proxied by loss reserve error.

The authors' hypotheses are tested using multivariate analysis where the loss reserve error is the dependent variable, and audit committee independence, and four types of audit committee financial expertise (accounting, finance, supervisory, and insurance expertise) are the testing variables.

It is found that accounting, finance, and insurance financial expertise are associated with more accurate loss reserve estimate. In contrast, a supervisory financial expertise and an independence audit committee are not found to be associated with better loss reserve quality.

The sample includes publicly‐held property‐liability insurers. Although the results from publicly‐held insurers could provide a good laboratory for such investigation in all insurers, they might be limited due to different organization structures of public vs private insurers.

The implications of the study are important for the SEC and NAIC. The results suggest that the requirements on the audit committee financial expertise would be necessary, even in highly regulated industry, such as property‐casualty insurance.

The paper contributes to the extant literature by studying audit committee characteristics in the insurance industry. It also contributes to the extant literature on audit committee effectiveness by decomposing the financial expertise into four types of financial expertise (accounting, finance, supervisory, or insurance expertise) and investigates which (if any) of these four types of expertise really drives the improvement of loss reserve quality.

The usual, simple and computationally expensive recovery payment method for a given reinsurance treaty, besides the total run-off triangle, builds a new run-off triangle, say recovery run-off triangle, for the reinsurer’s contribution and predicts the reinsurer’s contribution to the total loss reserves. This paper, without building a recovery run-off triangle, uses the available prior knowledge about a reinsurance treaty to predict the cedent’s loss reserve under five reinsurance treaties.

The authors propose a new solution to the problem of how to consider reserving issues when there is a reinsurance treaty for a portfolio of general insurance policies. Considering this when determining pricing or making capital decisions is very important.

In particular, it considers the quota share (QS) treaty, surplus (SPL) treaty, excess-of-loss (XL) treaty, largest claims reinsurance (LCR) treaty and excédent du coût moyen relatif (ECOMOR) treaty. Then, it develops a theoretical foundation for predicting the cedent’s loss reserve and evaluating such prediction using the mean square error of prediction (MSEP). The impact of such reinsurance treaties on the variability of the cedent’s loss reserve has been investigated through a simulation study.

This paper, without building a recovery run-off triangle, uses the available prior knowledge about a reinsurance treaty to predict the cedent’s loss reserve under five reinsurance treaties. In particular, it considers the QS treaty, SPL treaty, XL treaty, LCR treaty and ECOMOR treaty. Then, it develops a theoretical foundation for predicting the cedent’s loss reserve and evaluating such prediction using the MSEP. The impact of such reinsurance treaties on the variability of the cedent’s loss reserve has been investigated through a simulation study.

The purpose of this paper is to transfer the concept of market‐consistent embedded value (MCEV) from life to non‐life insurance. This is an important undertaking since differences in management techniques between life and non‐life insurance make management at the group level very difficult. The purpose of this paper is to offer a solution to this problem.

After explaining MCEV, the authors derive differences between life and non‐life insurance and develop a MCEV model for non‐life business. The model framework is applied to a German non‐life insurance company to illustrate its usefulness in different applications.

The authors show an MCEV calculation based on empirical data and set up an economic balance sheet. The value implications of varying loss ratios, cancellation rates, and costs within a sensitivity analysis are analyzed. The usefulness of the model is illustrated within a value‐added analysis. The authors also embed the MCEV concept in a simplified model for an insurance group, to derive group MCEV and outline differences between local GAAP, IFRS and MCEV.

The analysis provides new and relevant information to the stakeholders of an insurance company. The model provides information comparable to that provided by embedded value models currently used in the life insurance industry and fills a gap in the literature. The authors reveal significant valuation difference between MCEV and IFRS and argue that there is a need for a consistent MCEV approach at the insurance‐group level.

The paper presents a new valuation technique for non‐life insurance that is easy to use, simple to interpret, and directly comparable to life insurance. Despite the growing policy interest in embedded value, not much academic attention has been given to this methodology. The authors hope that this work will encourage further discussion on this topic in academia and practice.

The purpose of this paper is to investigate coexistence of multiple distribution systems in property‐casualty (P/C) insurance industry in the USA.

Stochastic frontier analysis is used to measure cost and revenue efficiencies of P/C insurance companies utilizing different distribution systems.

Independent agent insurers are found to be cost inefficient compared to insurers with other distribution systems, but the independent agent insurers have better revenue efficiency compared to their long counterpart, the exclusive agent insurers. This study also documents that the direct writing system provides higher cost and revenue efficiencies than other distribution systems, although their efficiencies have been deteriorating during the same time period.

Future research could examine whether the findings change by measuring efficiencies with a non‐parametric method, i.e. data envelopment analysis.

A start‐up insurer should consider a direct writing system, which is most cost and revenue efficient.

This paper investigates efficiencies of insurers by four different distribution systems and tracks efficiency changes of insurers over 12‐year periods.

This study aims to investigate the impact of the board’s financial expertise (BFE) on corporate social responsibility (CSR) disclosure in China.

Using a sample of Chinese listed firms from 2009-2016 (making 3272 firm-year observations), this study uses the generalized method of moments (GMM) and panel data estimation techniques.

Using the resource dependence theory, the findings of this study are twofold. First, the is positively associated with the disclosure level of CSR. Second, this positive impact is more pronounced in firms with female CEO and state ownership. The findings are robust to the potential issues of endogeneity and sensitivity analyses.

Practically, the findings hold value for the senior management of Chinese firms to ensure the presence of financial experts in boards to yield both financial and non-financial outcomes.

This study points out how financial experts on boards influence the societal outcomes via disclosure of CSR. Financial experts encourage participation in social and sustainable practices which creates a positive image of the firm not only in the eyes of society but also for investors.

This study is unique and contributes to the extant literature by examining the impact of a new attribute, i.e. the BFE on the level of CSR disclosure in China.

This study aims to analyze the relationship between a company’s use of aggressive tax planning and several audit committee members’ characteristics, namely, independence, expertise, diligence and gender diversity.

This paper is an empirical research using archival data from 289 Canadian listed companies for the 2011-2015 period.

The authors find that measures of expertise and diligence are significantly related to tax aggressiveness. Financial expertise and tenure on the audit committee play an important role in constraining tax aggressiveness, as does having a larger audit committee.

One limitation – and an area for future research – is that the effects of the audit committee members’ relationships with managers of the firms were not investigated.

Knowledge of audit committee characteristics may send a signal to shareholders, investors and tax agencies regarding the company’s potential risk with respect to aggressive tax planning. The analysis provides useful insights for board governance committees when determining the profile of persons to nominate for board positions and committees. In discussing tax-risk management, the study may heighten audit committee members’ awareness of their role in this respect.

This study’s results indicate that even in a setting where incentives for firms to be tax-aggressive is low compared to high-tax rate countries, there is variability in firms’ tax aggressiveness. This situation allows us to find audit committee characteristics that are effective in decreasing tax aggressiveness.

The purpose of this study is to report on the level of audit committee (AC) effectiveness on the top capitalized firms in GCC countries and to empirically investigate the hypothesized influence of ownership types on the level of AC effectiveness.

The empirical data were drawn from annual reports of 119 top listed firms in Gulf Co-operation Council (GCC) nations at the end of 2011. Ordinary least squares regression analysis was constructed to examine the relationships between ownership types and the level of AC effectiveness.

The findings revealed that family, government and institutional ownership, in addition to board independence, all have significant positive association with AC effectiveness, and they serve as a complement to AC effectiveness.

The findings of the study are important for policy makers and regulators as they could use them to understand the relationship between different corporate governance mechanisms and formulating best strategies that would help them to improve and adopt an optimal governance system constituted from interacting governance mechanisms.

This study is one of few that have examined the interaction between different corporate governance mechanisms. It provides insights about the relationship between AC effectiveness and other governance mechanisms in the GCC context.

Sees the objective of teaching financial management to be to help managers and potential managers to make sensible investment and financing decisions. Acknowledges that financial theory teaches that investment and financing decisions should be based on cash flow and risk. Provides information on payback period; return on capital employed, earnings per share effect, working capital, profit planning, standard costing, financial statement planning and ratio analysis. Seeks to combine the practical rules of thumb of the traditionalists with the ideas of the financial theorists to form a balanced approach to practical financial management for MBA students, financial managers and undergraduates.

This study is concerned with evaluating the Federal Reserve forecasts of light motor vehicle sales. The goal is to assess accuracy gains from using consumer vehicle-buying attitudes and expectations about future business conditions derived from the long-running Michigan Surveys of Consumers.

Simplicity is a core principle in forecasting, and the literature provides plentiful evidence that combining forecasts from different methods and models reduces out-of-sample forecast errors if the methods and models are valid. As such, the authors construct a simple vector autoregressive (VAR) model that incorporates consumer vehicle-buying attitudes and expectations about future business conditions. Comparable forecasts of vehicle sales from this model are then combined with the Federal Reserve forecasts to assess accuracy gains.

The findings for 1994–2016 indicate that the Federal Reserve and VAR forecasts contain distinct and useful predictive information, and the combination of the two forecasts shows reductions in forecast errors that are more significant at longer horizons. The authors thus conclude that there are accuracy gains from using consumer survey responses.

This is the first study that is concerned with evaluating the Federal Reserve forecasts of vehicle sales and examines whether there are accuracy gains from using consumer vehicle-buying attitudes and expectations.