Accessibility of flood risk insurance in the UK: confusion,competition and complacency

Flood risk insurance can be an effective tool in assisting the restoration of damaged property after a flood event and sustaining communities through difficult times. It can also form part of a wider flood risk management strategy. In the light of recent flood events in the UK and in the context of changing property insurance markets, the universal cover previously enjoyed by floodplain residents has been called into question. Conflicting media and industry views leave the floodplain resident and the wider community in confusion. A survey of floodplain residents in England regarding their experience with flooding and flood insurance in England has been undertaken. The results reveal that some floodplain residents do indeed encounter difficulties when seeking insurance for their homes. However, despite the risk‐averse policies of some insurers, availability of insurance is still strong in both at‐risk and previously flooded locations. Success in gaining insurance may lead to complacency among residents who see no advantage in pursuing other, more costly, damage mitigation actions. As a tool in risk management, therefore, the market is prevented from realising its potential by competition, which results in a lack of a consistent approach, rewards homeowners' search strategies and reduces information flow.     

Applying hedging strategies to estimate model risk and provision calculation

We present an empirical study of the intertwined behaviour of members in a financial market. Exploiting a database where the broker that initiates an order book event can be identified, we decompose the correlation and response functions into contributions coming from different market participants and study how their behaviour is interconnected. We find evidence for the following. (1) Brokers are very heterogeneous in liquidity provision—some appear to be primarily liquidity providers while others are primarily liquidity takers. (2) The behaviour of brokers is strongly conditioned on the actions of other brokers. In contrast, brokers are only weakly influenced by the impact of their own previous orders. (3) The total impact of market orders is the result of a subtle compensation between the same broker pushing the price in one direction and the liquidity provision of other brokers pushing it in the opposite direction. These results enforce the picture of market dynamics being the result of the competition between heterogeneous participants, interacting to form a complex market ecology.     

Backtesting Stochastic Mortality Models

Abstract

This study sets out a backtesting framework applicable to the multiperiod-ahead forecasts from stochastic mortality models and uses it to evaluate the forecasting performance of six different stochastic mortality models applied to English & Welsh male mortality data. The models considered are the following: Lee-Carter’s 1992 one-factor model; a version of Renshaw-Haberman’s 2006 extension of the Lee-Carter model to allow for a cohort effect; the age-period-cohort model, which is a simplified version of Renshaw-Haberman; Cairns, Blake, and Dowd’s 2006 two-factor model; and two generalized versions of the last named with an added cohort effect. For the data set used herein, the results from applying this methodology suggest that the models perform adequately by most backtests and that prediction intervals that incorporate parameter uncertainty are wider than those that do not. We also find little difference between the performances of five of the models, but the remaining model shows considerable forecast instability.     

Market-Consistent Valuation and Funding of Cash Balance Pensions

Cash balance pension benefits are accumulated at guaranteed crediting rates, usually based on yields on government securities. Viewed as a financial liability, the benefit is a form of interest rate derivative, which can be valued using financial models and theory. In this article, we derive the market value for a range of commonly used crediting rates, assuming the accrued benefit liability comprises the past contributions, allowing for full interest credits up to a known future retirement date. We use the Hull-White interest rate model to determine crediting rates and to determine the market value. We explore the risks associated with different crediting rate choices by evaluating the liability using market data from 1998 to 2013. We propose two other approaches to the accrued benefit. The first approach assumes the accrued benefit comprises past contributions with interest up to the valuation date, but no future interest credits. Future credits on past contributions are assumed funded through future contributions. The second method projects all contributions and interest to retirement and assumes equal units of accrual of this projected benefit in each year of service. We compare the three approaches through numerical examples.     

Time varying country risk: an assessment of alternative modelling techniques

Three different techniques for the estimation of a time-varying beta are investigated: a bivariate GARCH model, the Schwert and Seguin approach, and the Kalman filter method. These approaches are applied to a set of monthly Morgan Stanley country index data over the period 1970 to 1995 and their relative performances compared. In-sample forecast tests of the performance of each of these methods for generating conditional beta suggest that the GARCH-based estimates of risk generate the lowest forecast error although these are not necessarily significantly less than those generated by the other techniques considered.     

Pecking order as a dynamic leverage theory

Static tradeoff theories, which do not explicitly treat the impact of transaction costs, do not explain the policy of asymmetry between frequent small debt transactions and infrequent large equity transactions. Nor do these theories explain why the debt ratio is allowed to wander a considerable distance from its alleged static optimum, or how much of a distance should be tolerated. We offer a class of diffusion models that mimic this behaviour in a stochastic-dynamic framework and are designed to optimize a financing strategy using any static tradeoff theory as input. The models developed reveal the determinants of the size and frequency of equity transactions and the range of values over which leverage variations are tolerated in four generic scenarios. They also yield a new formulation of the cost of capital that recognizes stochastic transaction costs and a penalty for deviation from any static-optimal leverage. Our class of models augments the pecking order theory, provides a flexible quantitative framework for its implementation as a decision tool, and facilitates the formulation of additional hypotheses for its empirical validation. Symmetrically, our results show the importance of dynamic factors in designing and interpreting empirical tests of static tradeoff theories. The results presented have important implications for the role played by static tradeoff theories in a stochastic-dynamic framework. One such implication is that the static-optimal leverage has no direct effect on the firm's leverage policy in this setting. The target leverage for refinancing transactions is different from the static-optimal leverage, and the mean leverage is generally different from both. As a consequence, the latter cannot be used to estimate the former. Another implication is that even when the mean leverage equals the static optimum, mean reversion is not an optimal behaviour and therefore not a legitimate test for the existence of a static tradeoff in a dynamic context. Still another implication is that wide variations in leverage ratios cannot be interpreted as evidence of leverage indifference. It follows that the pecking order theory is consistent with static tradeoff theories and does not require the assumption of leverage indifference.     

Qualitative audit materiality and earnings management

This study investigates auditors’ propensity to rely on quantitative materiality thresholds to the exclusion of qualitative materiality thresholds. Specifically, we examine whether auditors are more likely to allow earnings management that is less than typical quantitative materiality thresholds but that nonetheless is qualitatively material. We use changes in tax expense as a proxy for earnings management. Our results indicate that companies with pre-managed earnings that would have missed the consensus analyst forecast are more likely to decrease their tax expense when the magnitude of the decrease is less than quantitative audit materiality thresholds. The results also indicate that firms are more likely to meet or beat the forecast when the amount of earnings management necessary to meet the analyst forecast is less than quantitative materiality. These results are consistent with auditors relying on quantitative materiality thresholds to the exclusion of qualitative materiality thresholds, i.e., the importance of meeting or beating the analyst forecast. Finally, we find that the ability to use tax expense reduction within quantitative materiality to meet or beat analysts’ consensus forecasts was significantly reduced by the SEC’s guidance on materiality in SAB-99 and by the passage of the Sarbanes–Oxley Act.     

Some predictors of SMJ article impact

Article impact is becoming an increasingly popular metric for assessing a scholar's influence, yet little is known about its properties or the factors that affect it. This study tests whether author, article, and methodological attributes influence the impact of SMJ articles, defined as summed counts of article citations. Findings reveal that authors having fewer, more‐often cited articles tended to have SMJ articles that received the most citations. In addition, whether an article appears in a regular or a special issue is not a stable predictor of its impact. Moreover, empirical articles that test primary data, control for more threats to internal validity, and have higher statistical power tend to receive more citations. Further, an article's long‐term impact oftentimes becomes apparent shortly after its publication. Overall, the findings provide new insights into the determinants of impact and its temporal qualities and help explain some of the differences between high and average impact articles. The findings also underscore the need for transparency between author publication strategies (article volume, impact) and the requirements of his/her institution. Implications for authors, reviewers, editors, and administrative evaluation are offered. Copyright © 2005 John Wiley & Sons, Ltd.     

The strategic impetus for social network ties: reconstituting broken ceo friendship ties

Research on organization–environment relations has focused primarily on formal linkages between organizations such as board interlock ties as a strategy for managing resource dependence. This study examines whether top corporate executives may maintain more informal ties to executives of other firms in order to manage uncertainty arising from resource dependence. Our point of departure is prior research on boards of directors that has examined whether so‐called ‘broken board ties’ (i.e., ties that are disrupted due to executive turnover) tend to be reconstituted, and whether resource dependence explains the likelihood of reconstitution. These studies have generally provided little evidence that corporate board ties are used to manage resource dependence. We draw from theory and research on social embeddedness and friendship to suggest that, as a strategy for managing dependence, the maintenance of friendship ties between top executives provides benefits that are comparable to the supposed benefits of board cooptation, while imposing fewer constraints on the organization. Our theory leads to the contention that, despite limited prior evidence that resource dependence determines the formation of formal board ties, corporate leaders may nevertheless reconstitute informal (i.e., friendship) ties to leaders of other firms that have the power to constrain their firms' access to needed resources when those ties have been disrupted (e.g., due to turnover of the CEO's friend). We test our hypotheses with a unique dataset that includes survey data from U.S. corporate leaders collected at two points in time, thus permitting an assessment of whether top executives reconstitute broken social ties to leaders of other firms, and whether various sources of resource dependence predict the likelihood of reconstitution. We discuss implications for strategic perspectives on inter‐organizational relations and the sociological literature on embeddedness. Copyright © 2006 John Wiley & Sons, Ltd.     

Using meta‐analytic structural equation modeling to advance strategic management research: Guidelines and an empirical illustration via the strategic leadership‐performance relationship

This paper demonstrates how meta‐analysis can be combined with structural equation modeling (MASEM) to address new questions in strategic management research. We review this integration, describe its implementation, and compare findings from bivariate meta‐analyses, a direct‐effect structural equations model, and two mediating frameworks using data on the strategic leadership and performance relationship. Results drawn from 208 articles that collectively included data on 495,638 observations demonstrate the new insights available from MASEM while also suggesting a revision to conventional thinking on strategic leadership. Whereas some theories posit that boards of directors influence firm performance through monitoring and disciplining the top management team, MASEM provides more support for the view that boards mediate the top management teams' decisions. Implications for applying MASEM in strategic management are offered. Copyright © 2014 John Wiley & Sons, Ltd.