A tool for scrutinizing bank bailouts based on multi-period peer benchmarking

In the wake of the recent global financial crisis central banks and regulators are concerned about re-direction of bailout funds into dividends. Yet, we do not know much about the extent banks follow dividend policies and funding decisions optimal to generating shareholders' wealth because banks have been mostly absent from an otherwise expansive literature on dividend policy. A relative, multi-period analysis of the troubled Japanese regional banks for the period 1998–2007 identifies inefficiencies in the levels of dividends, retained earnings, external funding and shareholder returns. The study unfolds further by investigating associations between inefficiencies and non-performing loans, followed by a comparison of efficient versus inefficient banks across good and bad economic times. The methodology captures linkages among yearly financial decisions over multiple periods, thus summarizing long-term performance. The new approach can guide continuous benchmarking of bank financial performance, as well as help policy-makers monitoring potential misappropriation of bailout funds during financial crises. The findings indicate a potential to adjust levels of debt and equity funding, and substantial room for improvement in shareholder returns. Associations between non-performing loans and technical inefficiencies are generally statistically significant.     

Effect of participative intervention on organisational justice perceptions: a quasi-experimental study on Finnish public sector employees

Changes in the perception of organisational justice have received limited attention in earlier studies. The purpose of this study is to examine whether a 2-year large-scale participative intervention had an effect on justice perceptions among employees. We conducted surveys in three towns (two case towns, one control town) on a total of 1584 municipal employees in 114 work groups that were observed before and after the interventions. Multilevel regression analysis showed that the participative intervention approach was associated with improvement in employees' justice perceptions. Moreover, the employees' evaluation of the implementation of intervention played an important role. Only among those who evaluated that the intervention had been successful, there was an improvement in their perceptions of interactional and procedural justice. The changes in organisational justice were seen at both individual and work group levels.     

Can usefulness of performance appraisal interviews change organizational justice perceptions? A 4-year longitudinal study among public sector employees

This large-scale longitudinal study examined the hypothesis that the experienced usefulness of performance appraisal interviews affects justice perceptions and that changes in work life contribute to this effect. Our findings from 6592 employees who were nested in 1291 work groups over a 4-year period and who at baseline had not applied for a performance appraisal interview support this prediction. Specifically, the results of multilevel regression analyses showed that interviews that were experienced as useful improved justice perceptions significantly. In contrast, when the interviews were experienced as unhelpful, the impact on justice perceptions was negative. Furthermore, during negative changes in work life, useful interviews were especially important in helping prevent the deterioration of justice perceptions. The implications for organizational justice and the usefulness of the performance appraisal are discussed.     

Reference mortality K2004 of personal life insurance policies in Finland

This article presents the reference mortality model K2004 approved by the Actuarial Society of Finland and the technique that was implemented in developing it. Initially, I will present the historical development of individual mortality rates in Finland. Then, the requirements posed for a modern mortality modelling will be presented. Reference mortality model K2004 is based on total population mortality rates, which were adjusted to correspond with that portion of the population that has a life insurance policy. First, the model presents a margin of the observed life insurance mortality rate in the total population with a Lee-Carter method together with a forecast, where the downward trend in mortality rates is expected to continue at the rate illustrated since the 1960s. Then, the mortality rate has been adjusted into life insurance mortality per age so that it corresponds to the differences observed between total population and the portion of population that has a life insurance during 1991–2001. Finally, a cohort and gender-specific functional margin will be presented to obtained data.     

Performance of moving average trading strategies over varying stock market conditions: the Finnish evidence

This article examines the profitability of dual moving average crossover (DMAC) trading strategies in the Finnish stock market over the period 1996 to 2012. It contributes to the existing technical analysis literature by comparing for the first time the performance of DMAC trading portfolios of individual stocks to the performance of index trading strategies based on trading on an index that consists of the same stocks. The results show that their relative performance varies over time, whereas previous studies have documented outperformance of index trading strategies over trading strategies of stock portfolios. Moreover, the great majority of 3020 DMAC strategies examined in this article outperform the corresponding buy-and-hold (B and H) strategy for both trading targets (i.e., OMX Helsinki 25 index and individual stocks included in the index) in out-of-sample tests. In addition, the decomposition of the full-sample-period performance into separate bull- and bear-period performance shows clearly that the outperformance of DMAC strategies over B and H strategy is mostly attributable to their better performance during bearish periods.     

Does asymmetric information matter in the early insurance market? Evidence from the auto insurance market

In the late 1960s, the performance of automobile insurance declined dramatically in Japan in spite of rapid growth in the diffusion rate, and the premiums were sharply raised several times in order to improve the situation. This observation indicates the possible presence of adverse selection (death spiral), and provides an ideal situation for assessing informational asymmetry. Using bodily injury liability (BIL) insurance data from 46 Japanese prefectures over the period 1966 to 1975, this article tests two hypotheses of adverse selection: (i) high-risk drivers were more likely to join the BIL insurance market and (ii) sharp premium increases drove low-risk policyholders away. Various empirical analyses show that there is little evidence for either type of adverse selection. We also test whether a risk-misperception hypothesis can explain our results, and find some evidence that the population density have a significantly positive impact on the demand for BIL insurance.     

Technology,Labour Characteristics and Wage‐productivity Gaps*

We use plant‐level employer–employee data in production functions and wage equations to examine whether wages are based on productivity. We use a stepwise procedure to find out how the results are influenced by the kind of data that is available. The models include shares of employee groups based on age, level and field of education, and sex. The gap between the age‐related wage and productivity effects increases with age. Education increases productivity, but wage under‐compensates productivity especially for those with the highest level of non‐technical education. For women the results depend greatly on the specification and method used.     

Testing for Asymmetric Information in the Automobile Insurance Market Under Rate Regulation

This article examines whether adverse selection or moral hazard could be induced by rate regulation, which prohibits insurance companies from considering some attributes of drivers in setting premiums. Using an individual data set from a heavily regulated automobile insurance market, we arrived at several conclusions, as follows. First, no evidence of adverse selection or moral hazard is found in general: conditional on all the variables observed by insurer, the null hypothesis of independence between risk and coverage is not rejected at reasonable levels of statistical significance. Second, this result is robust in the sense that it holds under several empirical procedures and different definitions of risk and coverage. Third, we find that unobserved variables do not induce adverse selection: the null hypothesis that consumers in risky regions are more likely to purchase insurance is tested against the alternative and rejected. Our study supports the view that the adverse selection phenomenon exists only to a very limited extent in this market.     

Measurement of Dynamic Efficiency in Production: An Application of Data Envelopment Analysis to Japanese Electric Utilities

The purpose of this paper is to measure productive efficiencies when a firm employs quasi-fixed inputs that cannot be instantaneously adjusted to their optimal levels. To this end, data envelopment analysis (DEA) is extended to a dynamic framework so that investment behavior can be modelled with the efficient production frontier. Based on the work of Nemoto and Goto (1999), we show how the efficiencies of quasi-fixed inputs and their adjustment processes are evaluated. An application to Japanese electric utilities over the 1981–1995 period delivers empirically plausible results and proves the usefulness of the procedure.