The performance of model based option trading strategies

This paper analyzes returns to trading strategies in options markets that exploit information given by a theoretical asset pricing model. We examine trading strategies in which a positive portfolio weight is assigned to assets which market prices exceed the price of a theoretical asset pricing model. We investigate portfolio rules which mimic standard mean-variance analysis is used to construct optimal model based portfolio weights. In essence, these portfolio rules allow estimation risk, as well as price risk to be approximately hedged. An empirical exercise shows that the portfolio rules give out-of-sample Sharpe ratios exceeding unity for S&P 500 options. Portfolio returns have no discernible correlation with systematic risk factors, which is troubling for traditional risk based asset pricing explanations.     

Risk as feelings or risk and feelings? A cross‐lagged panel analysis

This article focuses on affective and cognitive processes underlying the perception of risk. A limitation with most process models of affect/cognition is that they include only concurrent emotions. By following a group (n?=?129) of military sailors prospectively during an international operation, we explored longitudinal relations between perceived risk and related feelings.

Longitudinal cross‐lagged path models were estimated to explore the relationships between perceived risk, worry, and emotional distress. Results gave support to earlier studies by showing that cross‐sectional measures of risk and worry were weakly related. Across time, worry and emotional distress were reciprocally related. Perceived risk had impact on worry but not on emotional distress. Neither worry nor emotional distress influenced perceived risk.

The risk‐as‐feelings hypothesis postulates a direct effect of feelings onto behavioural choice, and a reciprocal relation between cognitive evaluations and feelings.

Our findings do not support a reciprocal relation between judgements of risk and feelings, but an impact from risk on to worry. Between various measures of feelings reciprocity seems to exist. Further replications, including also behavioural measures, are needed.     

Safety attitudes,behaviour, anxiety and perceived control among professional and non-professional drivers

The current study aimed to investigate differences in psychological safety factors such as attitudes and behaviour among professional and non-professional drivers. Differences in accident involvement and the number of speeding tickets were also investigated. An additional aim was to study factors associated with risky driver behaviour and speeding tickets in these groups. A questionnaire survey was distributed by mail to a randomly selected sample from the Norwegian population registry (N?=?6203). The response rate was 30% and the final sample consisted of 1864 individuals. Adjusted for demographic characteristics and road traffic exposure the results showed that professional drivers (n?=?113) reported significantly less seat belt use and watchful driving than non-professional drivers (n?=?1594). Professional drivers reported significantly less fun riding and safer attitudes regarding addressing the unsafe driving of others. The professional drivers also reported significantly safer behaviour related to drink driving, but lower priorities of road traffic safety. Professional drivers perceived significantly more control and had been involved in more accidents than the non-professional drivers. The results suggest that professional drivers may constitute a risk group in road traffic. Further research could focus on barriers of seat belt use and mechanisms, which could promote safety priorities in this driver group. The knowledge gained by such studies could be utilised by company managers in order to promote safer behaviour among professional drivers.     

Communicating production outcomes as gains or losses,operator skill and their effects on safety-related violations in a simulated production context

In this study, violation-producing conditions from an organizational and individual point of view are investigated. In concrete terms, framing effects of production outcome displays in relation to production goals, the risk of a technical accident, as well as person-related variables and their impact on violations are investigated based on the theoretical assumptions of prospect theory and risk-taking. It is assumed that violations are more likely when performance is below the aspiration level associated with an anticipated loss. A 2?×?3 factorial experimental design (n?=?118) was selected in accordance with the ‘Asian Disease’ decision scenario in the form of a computer-simulated task environment Simulation Waste Water Treatment. Participants acted out the role of a production supervisor running a plant. Experimental conditions were (1) the framing of individual performance outcomes in relation to the production goals in terms of losses or gains, and (2) the risk (20, 35, and 5%) with which an accident (a deflagration) might occur through using a corner-cutting procedure. A significant main effect of the framing conditions and no effect of risk conditions or interaction effect emerged. An additional path analysis shows the influence of risky decision-making and acquired skills in terms of knowledge of the safety-related procedure on a violation. In summary, violations are strongly affected by (a) framing effects of production outcomes when the performance is below the aspiration level and (b) person-related variables, in particular risky decision-making and skill. Results strongly emphasize that we found violation-producing conditions over and above what has so far been proposed and give rise to our claim that communicating production outcomes as gains and the increase of skill increases the likelihood of compliance with safety-related procedures.     

Comparison of Methods for Evaluation of the Convolution of Two Compound R 1 Distributions

In the present paper we compare four methods for evaluating the convolution of two compound R 1 distributions by counting the numbers of elementary algebraic operations required. Two of the methods are applicable in general, whereas the remaining two are restricted to the case when the two compound distributions have the same severity distribution. This case is discussed separately. We consider in particular the special case when this common severity distribution is concentrated in one, that is, evaluation of the convolution of two R 1 distributions.     

Non-parametric and parametric bootstrap techniques for age-to-age development factor methods in stochastic claims reserving

In the literature, one of the main objects of stochastic claims reserving is to find models underlying the chain-ladder method in order to analyze the variability of the outstanding claims, either analytically or by bootstrapping. In bootstrapping these models are used to find a full predictive distribution of the claims reserve, even though there is a long tradition of actuaries calculating the reserve estimate according to more complex algorithms than the chain-ladder, without explicit reference to an underlying model. In this paper we investigate existing bootstrap techniques and suggest two alternative bootstrap procedures, one non-parametric and one parametric, by which the predictive distribution of the claims reserve can be found for other age-to-age development factor methods than the chain-ladder, using some rather mild model assumptions. For illustration, the procedures are applied to three different development triangles.     

Electoral cycles in MPs’ salaries: evidence from the German states

Members of parliament (MPs) often set their own salaries. Voters dislike self-serving politicians, and politicians are keen to please voters. In line with political business cycle theories, politicians thus may delay giving themselves a salary increase until after elections. We investigate electoral cycles in the salary increases of German state MPs. Using data for 15 states over the period 1980–2014, we find no evidence that increases in MP salaries are influenced by election cycles. Politicians can increase their salaries at any point during the legislative period without negative consequences. We posit that this may be because even those voters who are most disenchanted with politics likely understand that all politicians benefit from a salary increase and thus do not punish the governing party at the polls.     

Epistemic habits: primary school teachers’ development of pedagogical content knowledge (PCK) in a design-based research project

Generalist primary school teachers often have little or no training in school subjects such as science and technology. Not surprisingly, several studies show that they often experience difficulties when teaching these subjects, in fact some primary teachers even avoid teaching them. The over all aim of this study is to contribute to new theoretical and methodological tools for the study of how teachers develop knowledge for teaching, i.e. pedagogical content knowledge (PCK). And based on this, elaborate on implications for the professional development of primary school teachers. The teachers in the study participated in a design-based research project concerning technology education in Grade 1. We were especially interested in whether the teachers displayed any habits that contributed to the development of their personal PCK. We found three significant patterns in how the teachers, together with the researcher, developed knowledge of how to teach a specific topic in technology. We argue that these patterns tell us something about the teachers’ epistemic habits in relation to the teaching of technology. The existence of these habits could help to explain how teachers with little or no experience of teaching a subject can develop relevant PCK.     

Predicting the equity market with option-implied variables

We comprehensively analyze the predictive power of several option-implied variables for monthly S&P 500 excess returns and realized variance. The correlation risk premium (CRP) and the variance risk premium (VRP) emerge as strong predictors of both excess returns and realized variance. This is true both in- and out-of-sample. Our results also reveal that statistical evidence of predictability does not necessarily lead to economic gains. However, a timing strategy based on the CRP leads to utility gains of more than 5.03% per annum. Forecast combinations provide stable forecasts for both excess returns and realized variance, and add economic value.