Chief Financial Officers as Inside Directors

Considerable prior research investigates whether the extent of insider presence on corporate boards is detrimental. However, the majority of past research treats all inside directors as a homogenous group. This study considers that issue in the context of chief financial officers (CFO) serving on their own company's board. Our research is important because individuals in different executive roles bring different skills and knowledge to board interactions, highlighting the potential for differential contributions. As prior research does not specifically distinguish CFOs from other board insiders, the potential benefits of knowledge sharing due to increased communication with other board members may have been masked. Specifically, the CFO is directly responsible for the quality of the financial reporting process and can therefore be associated with specific outcome measures. Our results show that the percentage of CFOs serving on their own boards is not large, likely due to the perspective (consistent with agency theory and reflected in independence guidelines) that company insiders on boards could promote their own best interest at the expense of shareholders. Contrary to this perception, we find that companies whose CFO has a seat on the board are associated with higher financial reporting quality (i.e., a lower likelihood of reporting a material weaknesses in internal controls or having a financial restatement, and better accruals quality). Yet, we also find potential drawbacks in that CFOs with a board seat tend to have higher excess compensation and lower likelihood of termination following poor performance, signaling greater entrenchment. While our results provide information to companies considering appointing the CFO to the board, both costs and benefits are demonstrated, and thus we conclude that each board should consider this decision based on its own circumstances and composition.     

Can sell-side analysts’ experience,expertise and qualifications help mitigate the adverse effects of accounting reporting complexity?

Review of Quantitative Finance and Accounting - We examine the relation between accounting reporting complexity and analysts’ performance and whether analysts’ qualifications,...     

Enterprise Risk Management Program Quality: Determinants,Value Relevance,and the Financial Crisis

This paper investigates factors associated with high‐quality Enterprise Risk Management (ERM) programs in financial services firms, and whether ERM quality enhances performance and signals credibility to the financial markets. ERM, developed with the assistance of the accounting profession, provides a framework and plan to integrate management of all sources of risk. Challenged by measurement difficulties common to research on management control systems, prior ERM studies present mixed findings. Using ERM quality ratings of financial companies by Standard & Poor's, we find that higher ERM quality is associated with greater complexity, less resource constraint, and better corporate governance. Controlling for such characteristics, we find that higher ERM quality is associated with improved accounting performance. Results show a market reaction to signals of enhanced management control from initial ERM quality ratings and rating revisions, and a stronger response to earnings surprises for firms with higher ERM quality. Focusing on the recent global financial crisis, our analysis suggests that there is no relation between ERM quality and market performance prior to and during the market collapse. However, returns of higher ERM quality companies are higher during the market rebound. Overall, results reveal that firm performance and value are enhanced by high‐quality controls that integrate risk management efforts across the firm, enabling better oversight of managers' risk‐taking behavior and aligning that behavior with the strategic direction of the company.     

Industry expertise on corporate boards

Recent surveys indicate that industry expertise is the most sought-after director qualification. Yet evidence on the value of such expertise is limited. This paper shows that firms that are difficult for non-experts to monitor and advise are more likely to appoint industry expert directors. Such appointments also depend on the supply of industry-experienced candidates in the local director labor market. Board industry expertise reduces R&D-based real earnings management and increases R&D investments. The increase in R&D spending is value-enhancing: firms with industry expert directors receive more patents for the same level of R&D, their R&D spending is associated with lower volatility of future earnings, and their value is higher. Finally, industry expertise is associated with CEO termination and pay incentives that encourage R&D investments.     

The effect of benefits level on take-up rates: evidence from a natural experiment

This paper exploits a quasi-natural experiment to study the effect of social benefits level on take-up rates. We find that households who are eligible for double benefits (twins) have much higher take-up rate—up to double—as compared to a control group of households. Our estimated effect of benefits level is much higher relative to the standard cross section estimates. This finding is less exposed to a selection bias that might plague much of the previous research on the link between benefits level and take-up. It provides strong empirical support for the level of benefits as a key factor in determining take-up rates.     

Intrinsic objective Bayesian estimation of the mean of the Tweedie family

ABSTRACT

The Tweedie family, which is classified by the choice of power unit variance function, includes heavy tailed distributions, and as such could be of significant relevance to actuarial science. The class includes the Normal, Poisson, Gamma, Inverse Gaussian, Stable and Compound Poisson distributions. In this study, we explore the intrinsic objective Bayesian point estimator for the mean value of the Tweedie family based on the intrinsic discrepancy loss function – which is an inherent loss function arising only from the underlying distribution or model, without any subjective considerations – and the Jeffreys prior distribution, which is designed to express absence of information about the quantity of interest. We compare the proposed point estimator with the Bayes estimator, which is the posterior mean based on quadratic loss function and the Jeffreys prior distribution. We carry a numerical study to illustrate the methodology in the context of the Inverse Gaussian model, which is fully unexplored in this novel context, and which is useful to insurance contracts.     

Principal Applications of Bayesian Methods in Actuarial Science

Abstract

Bayesian ideas were introduced into actuarial science in the late 1960s in the form of empirical credibility methods for premium setting. The advance of the Bayesian methodology was slow due to its subjective nature and to the computational difficulties associated with the full Bayesian analysis. This paper offers a brief survey of Bayesian solutions to some actuarial problems and discusses the current state of research.