Ruin Theory with Excess of Loss Reinsurance and Reinstatements

The present paper studies the probability of ruin of an insurer, if excess of loss reinsurance with reinstatements is applied. In the setting of the classical Cramer-Lundberg risk model, piecewise deterministic Markov processes are used to describe the free surplus process in this more general situation. It is shown that the finite-time ruin probability is both the solution of a partial integro-differential equation and the fixed point of a contractive integral operator. We exploit the latter representation to develop and implement a recursive algorithm for numerical approximation of the ruin probability that involves high-dimensional integration. Furthermore we study the behavior of the finite-time ruin probability under various levels of initial surplus and security loadings and compare the efficiency of the numerical algorithm with the computational alternative of stochastic simulation of the risk process. (C) 2011 Elsevier Inc. All rights reserved.

A test of Jessor's problem behavior theory in a Eurasian and a Western European developmental context.

PURPOSE: The current study tested the applicability of Jessor's problem behavior theory (PBT) in national probability samples from Georgia and Switzerland. Comparisons focused on (1) the applicability of the problem behavior syndrome (PBS) in both developmental contexts, and (2) on the applicability of employing a set of theory-driven risk and protective factors in the prediction of problem behaviors. METHODS: School-based questionnaire data were collected from n = 18,239 adolescents in Georgia (n = 9499) and Switzerland (n = 8740) following the same protocol. Participants rated five measures of problem behaviors (alcohol and drug use, problems because of alcohol and drug use, and deviance), three risk factors (future uncertainty, depression, and stress), and three protective factors (family, peer, and school attachment). Final study samples included n = 9043 Georgian youth (mean age = 15.57; 58.8% females) and n = 8348 Swiss youth (mean age = 17.95; 48.5% females). Data analyses were completed using structural equation modeling, path analyses, and post hoc z-tests for comparisons of regression coefficients. RESULTS: Findings indicated that the PBS replicated in both samples, and that theory-driven risk and protective factors accounted for 13% and 10% in Georgian and Swiss samples, respectively in the PBS, net the effects by demographic variables. Follow-up z-tests provided evidence of some differences in the magnitude, but not direction, in five of six individual paths by country. CONCLUSION: PBT and the PBS find empirical support in these Eurasian and Western European samples; thus, Jessor's theory holds value and promise in understanding the etiology of adolescent problem behaviors outside of the United States.

Employment risk, unemployment insurance and search strategies: a disaggregated equilibrium approach with application to the Swiss labour market in the 1990-ies

The Organization of the Thesis The remainder of the thesis comprises five chapters and a conclusion. The next chapter formalizes the envisioned theory into a tractable model. Section 2.2 presents a formal description of the model economy: the individual heterogeneity, the individual objective, the UI setting, the population dynamics and the equilibrium. The welfare and efficiency criteria for qualifying various equilibrium outcomes are proposed in section 2.3. The fourth section shows how the model-generated information can be computed. Chapter 3 transposes the model from chapter 2 in conditions that enable its use in the analysis of individual labor market strategies and their implications for the labor market equilibrium. In section 3.2 the Swiss labor market data sets, stylized facts, and the UI system are presented. The third section outlines and motivates the parameterization method. In section 3.4 the model's replication ability is evaluated and some aspects of the parameter choice are discussed. Numerical solution issues can be found in the appendix. Chapter 4 examines the determinants of search-strategic behavior in the model economy and its implications for the labor market aggregates. In section 4.2, the unemployment duration distribution is examined and related to search strategies. Section 4.3 shows how the search- strategic behavior is influenced by the UI eligibility and section 4.4 how it is determined by individual heterogeneity. The composition effects generated by search strategies in labor market aggregates are examined in section 4.5. The last section evaluates the model's replication of empirical unemployment escape frequencies reported in Sheldon [67]. Chapter 5 applies the model economy to examine the effects on the labor market equilibrium of shocks to the labor market risk structure, to the deep underlying labor market structure and to the UI setting. Section 5.2 examines the effects of the labor market risk structure on the labor market equilibrium and the labor market strategic behavior. The effects of alterations in the labor market deep economic structural parameters, i.e. individual preferences and production technology, are shown in Section 5.3. Finally, the UI setting impacts on the labor market are studied in Section 5.4. This section also evaluates the role of the UI authority monitoring and the differences in the Way changes in the replacement rate and the UI benefit duration affect the labor market. In chapter 6 the model economy is applied in counterfactual experiments to assess several aspects of the Swiss labor market movements in the nineties. Section 6.2 examines the two equilibria characterizing the Swiss labor market in the nineties, the " growth" equilibrium with a "moderate" UI regime and the "recession" equilibrium with a more "generous" UI. Section 6.3 evaluates the isolated effects of the structural shocks, while the isolated effects of the UI reforms are analyzed in section 6.4. Particular dimensions of the UI reforms, the duration, replacement rate and the tax rate effects, are studied in section 6.5, while labor market equilibria without benefits are evaluated in section 6.6. In section 6.7 the structural and institutional interactions that may act as unemployment amplifiers are discussed in view of the obtained results. A welfare analysis based on individual welfare in different structural and UI settings is presented in the eighth section. Finally, the results are related to more favorable unemployment trends after 1997. The conclusion evaluates the features embodied in the model economy with respect to the resulting model dynamics to derive lessons from the model design." The thesis ends by proposing guidelines for future improvements of the model and directions for further research.

Less Risk, More Effort : Demand Risk Allocation in Incomplete Contracts

This article investigates the allocation of demand risk within an incomplete contract framework. We consider an incomplete contractual relationship between a public authority and a private provider (i.e. a public-private partnership), in which the latter invests in non-verifiable cost-reducing efforts and the former invests in non-verifiable adaptation efforts to respond to changing consumer demand over time. We show that the party that bears the demand risk has fewer hold-up opportunities and that this leads the other contracting party to make more effort. Thus, in our model, bearing less risk can lead to more effort, which we describe as a new example of âeuro~counter-incentivesâeuro?. We further show that when the benefits of adaptation are important, it is socially preferable to design a contract in which the demand risk remains with the private provider, whereas when the benefits of cost-reducing efforts are important, it is socially preferable to place the demand risk on the public authority. We then apply these results to explain two well-known case studies.

P value and the theory of hypothesis testing: an explanation for new researchers.

In the 1920s, Ronald Fisher developed the theory behind the p value and Jerzy Neyman and Egon Pearson developed the theory of hypothesis testing. These distinct theories have provided researchers important quantitative tools to confirm or refute their hypotheses. The p value is the probability to obtain an effect equal to or more extreme than the one observed presuming the null hypothesis of no effect is true; it gives researchers a measure of the strength of evidence against the null hypothesis. As commonly used, investigators will select a threshold p value below which they will reject the null hypothesis. The theory of hypothesis testing allows researchers to reject a null hypothesis in favor of an alternative hypothesis of some effect. As commonly used, investigators choose Type I error (rejecting the null hypothesis when it is true) and Type II error (accepting the null hypothesis when it is false) levels and determine some critical region. If the test statistic falls into that critical region, the null hypothesis is rejected in favor of the alternative hypothesis. Despite similarities between the two, the p value and the theory of hypothesis testing are different theories that often are misunderstood and confused, leading researchers to improper conclusions. Perhaps the most common misconception is to consider the p value as the probability that the null hypothesis is true rather than the probability of obtaining the difference observed, or one that is more extreme, considering the null is true. Another concern is the risk that an important proportion of statistically significant results are falsely significant. Researchers should have a minimum understanding of these two theories so that they are better able to plan, conduct, interpret, and report scientific experiments.

AT-RISK ALCOHOL USE IN YOUNG ADULTS - EFFECTIVENESS AND MECHANISMS OF BRIEF MOTIVATIONAL INTERVENTION AS A PRIMARY AND SECONDARY PREVENTION MEASURE

SummaryThe alcohol use of adolescents and young adults is one of the world's most important and costliest health problems. Particularly, binge drinking (i.e. drinking an important amount of alcohol in one occasion) among young people increase the risk of detrimental consequences such as blackouts, injuries, at-risk sexual behaviors, involvement in violent acts, academic failure, and suicide attempts. In countries with mandatory conscription mechanisms, such as Switzerland, the army provides a unique opportunity to reach a large portion of this high risk population. We used this sample to evaluate the prevalence of binge drinking among young men, to test the efficacy of brief motivational interventions (BMI) as a primary and secondary preventive measure, and to examine the mechanisms underlying BMI in this age group.We showed that binge drinking among young French-speaking Swiss men is less of an exception than it is the norm. Of those using alcohol, 75.5% had a binge drinking episode at least monthly, and 69.3% of all consumption reported in a one-week diary was due to binge drinking days.We used two different inclusion modes to evaluate the success of alcohol BMI. In the first randomized controlled trial, inclusion relied on a random selection of conscripts. BMI efficacy was evaluated in a sample of conscripts who visited the army recruitment centre that is potentially generalizable to the entire population. In the second randomized controlled trial, we included subjects voluntarily participating in BMI. This venue might be more realistic for young adults; it is more akin to the MI spirit, in which it is crucial for individuals to control their own decisions.Regarding BMI efficacy as a secondary prevention measure (i.e. to help decrease alcohol use among at-risk drinkers, defined here as those having a binge drinking episode at least monthly), it was effective among randomly selected at-risk drinkers, whereas it was not effective among at-risk drinkers who voluntarily showed up. Individuals who showed interest in BMI had more severe patterns of alcohol use, which may have made change more difficult and calls for treatment that is more intensive. BMI demonstrated a 20% reduction in weekly alcohol use among randomly selected participants, indicating potential interest in BMI implementation within similar community settings.Regarding BMI efficacy as a primary prevention measure (i.e. to help maintain low levels of use among low-risk drinkers), it had significant protective effects among low-risk drinkers voluntarily showing up whereas it was not effective among low-risk drinkers randomly selected. This suggests that BMI might help young individuals keep their drinking at low levels, especially when they are interested in discussing their alcohol use. Therefore, BMI has potentially promising uses in primary prevention efforts. The content of these interventions for low-risk drinkers who do not seek BMI on their own should be further evaluated.BMI mechanisms were addressed since little is known about exactly which elements of it work, or which of the counselor and subject communication behaviors are most effective in triggering behavior changes. The causal chain hypothesis developed in the motivational interviewing (MI) theory was followed, and it was found that counselor behaviors consistent with the MI approach (MICO) were significantly more likely to be followed by participant language in favor of change (change talk, CT), while behaviors inconsistent with MI (MIIN) were significantly less likely to do so. Several CT dimensions measured during BMI (particularly Ability, Desire, and Need to change) were predictive of change in alcohol use. Our findings lend strong support for the use of MICO behaviors and the avoidance of MIIN behaviors in eliciting CT, and point out that particular attention should be paid to the utterances in several sub-dimensions of CT and to the strength of expression, since these are good indicators of potential actual behavior change in future.RésuméLa consommation d'alcool chez les adolescents et les jeunes adultes est un des problèmes de santé les plus importants et les plus coûteux dans le monde. En particulier, les consommations importantes d'alcool en une occasion (binge drinking) parmi les jeunes adultes ont été liées à des conséquences telles que pertes de connaissance, accidents et blessures, comportements sexuels à risque, violences, difficultés scolaires et tentatives de suicide. Les pays qui, comme la Suisse, connaissent un processus de recrutement obligatoire pour l'armée offrent une opportunité unique d'atteindre une large portion de cette population à hauts risques. Nous avons utilisé cet échantillon pour évaluer la prévalence du binge drinking parmi les jeunes hommes, pour tester l'efficacité de l'intervention brève motivationnelle (IBM) comme mesure de prévention primaire et secondaire, et pour examiner les mécanismes sous-tendant ce type d'interventions.La première partie de cette étude montre que le binge drinking est moins une exception que la norme parmi les jeunes hommes suisses francophones. 75.5% des personnes consommant de l'alcool avaient au moins un épisode de binge drinking par mois et 69.3% du total des boissons alcoolisées reportées comme consommation de la semaine précédant le questionnaire avaient été consommées lors d'épisodes de binge drinking.Pour évaluer l'efficacité de l'IBM dans ce cadre, nous avons utilisé deux modes d'inclusion. Dans une première étude randomisée contrôlée, nous avons inclus des personnes sélectionnées au hasard parmi toutes celles se présentant au centre de recrutement, créant ainsi un groupe potentiellement représentatif de l'ensemble du collectif. Dans la deuxième étude randomisée contrôlée, nous avons inclus des sujets se présentant volontairement pour recevoir une IBM, prendre des volontaires pouvant être plus proche de la réalité et plus proche de l'esprit motivationnel dans lequel il est crucial que l'individu contrôle ses décisions.En regardant l'IBM comme mesure de prévention secondaire (c'est-à-dire aider à diminuer la consommation d'alcool chez les consommateurs à risque, définis ici comme au moins un épisode de binge drinking par mois), l'IBM était efficace lorsque les participants étaient inclus au hasard et inefficace lorsqu'ils étaient volontaires. Les jeunes hommes volontaires pour un IBM avaient un mode de consommation particulièrement sévère qui pourrait être plus difficile à changer et nécessiter un traitement plus intensif. Parmi les personnes sélectionnées au hasard, l'IBM permettait une diminution de 20% de la consommation hebdomadaire d'alcool, montrant l'intérêt potentiel d'une implémentation de ce type de mesures dans des contextes communautaires similaires.En ce qui concerne l'IBM comme mesure de prévention primaire (c'est-à-dire aider à maintenir une consommation à bas risque chez les consommateurs à bas risque), l'IBM avaient un effet protectif significatif parmi les jeunes hommes volontaires pour une IBM, mais pas d'effet chez ceux sélectionnés au hasard. Ces résultats suggèrent que l'IBM pourrait aider de jeunes personnes à maintenir un niveau de consommation à bas risque si celles-ci s'intéressent à discuter cette consommation et aurait ainsi un potentiel intéressant comme mesure de prévention primaire. Le contenu de l'IBM pour des consommateurs à bas risque non-volontaires pour une IBM devra encore être évalué.Nous avons ensuite examiné les mécanismes de l'IBM car son fonctionnement est encore peu expliqué et les comportements de l'intervenant et du sujet les plus à même de provoquer le changement ne sont pas bien définis. En suivant l'hypothèse d'une chaine causale développée dans la littérature de l'entretien motivationnel (EM), nous avons pu montrer qu'un discours en faveur du changement chez le sujet était plus probable après des comportements de l'intervenant recommandés dans l'EM et moins probable après des comportements à éviter dans l'EM ; et que plusieurs dimensions de ce discours en faveur du changement (notamment la capacité, le désir et le besoin de changer) prédisaient un changement effectif dans la consommation d'alcool. Ces résultats encouragent donc à utiliser des comportements recommandés dans l'EM pour favoriser un discours en faveur du changement. Ils montrent aussi qu'une attention particulière doit être portée à la fréquence et à la force avec laquelle sont exprimées certaines dimensions de ce discours car ceux-ci indiquent un potentiel changement effectif de comportement.Résumé vulgariséLa consommation d'alcool chez les adolescents et les jeunes adultes est un des problèmes de santé les plus importants et les plus coûteux dans le monde. En particulier, les consommations importantes d'alcool en une occasion (binge drinking) parmi les jeunes adultes augmentent fortement les risques de conséquences telles que pertes de connaissance, accidents et blessures, comportements sexuels à risque, violences, difficultés scolaires et tentatives de suicide. Les pays qui, comme la Suisse, connaissent un processus de recrutement obligatoire pour l'armée offrent une opportunité unique d'atteindre une large portion de cette population à hauts risques. Nous avons utilisé cet échantillon pour évaluer l'importance du phénomène de binge drinking, pour tester l'efficacité de l'intervention brève motivationnelle (IBM) comme mesure de prévention de la consommation à risque d'alcool, et pour examiner comment fonctionne ce type d'interventions.La première partie de cette étude montre que le binge drinking est moins une exception que la norme parmi les jeunes hommes suisses francophones. Trois quart des personnes consommant de l'alcool avaient au moins un épisode de binge drinking par mois. Presque 70% du total des boissons alcoolisées consommées durant la semaine précédant le questionnaire avaient été consommées lors d'épisodes de binge drinking.Nous avons ensuite mené deux études pour évaluer l'efficacité de l'IBM dans ce cadre. Dans une première étude, nous avons sélectionné des personnes au hasard parmi toutes celles se présentant au centre de recrutement, créant ainsi un groupe potentiellement représentatif de l'ensemble du collectif. Dans la deuxième étude, nous avons inclus toutes les personnes se présentant volontairement pour recevoir une IBM, prendre des volontaires pouvant être plus proche de la réalité et plus proche de l'approche motivationnelle dans laquelle il est crucial que l'individu contrôle ses décisions. Dans les deux études, nous testions l'efficacité de l'IBM comme mesure de prévention primaire et secondaire (voir ci-dessous).En regardant l'IBM comme mesure de prévention secondaire (c'est-à-dire aider à diminuer la consommation d'alcool chez les consommateurs à risque, définis ici comme au moins un épisode de binge drinking par mois), l'IBM était efficace lorsque les participants étaient inclus au hasard et inefficace lorsqu'ils étaient volontaires. Les jeunes hommes volontaires pour un IBM avaient un mode de consommation particulièrement sévère qui pourrait être plus difficile à changer et nécessiter un traitement plus intensif. Parmi les personnes sélectionnées au hasard, l'IBM permettait une diminution de 20% de la consommation hebdomadaire d'alcool, montrant l'intérêt potentiel de la mise en place de ce type de mesures dans des contextes communautaires similaires.En ce qui concerne l'IBM comme mesure de prévention primaire (c'est-à-dire aider à maintenir une consommation à bas risque chez les consommateurs à bas risque), l'IBM avaient un effet protectif parmi les jeunes hommes volontaires pour une IBM, mais pas d'effet chez ceux sélectionnés au hasard. Ces résultats suggèrent que l'IBM pourrait aider de jeunes personnes à maintenir un niveau de consommation à bas risque si celles-ci s'intéressent à discuter de cette consommation. Le contenu de l'IBM pour des consommateurs à bas risque non-volontaires pour une IBM devra encore être évalué.Nous avons ensuite examiné le fonctionnement de l'IBM et cherché quels comportements de l'intervenant et du jeune homme pouvaient être les plus à même d'amener à un changement dans la consommation. Nous avons pu montrer que 1) un discours en faveur du changement chez le jeune homme était plus probable après des comportements de l'intervenant recommandés dans l'approche motivationnelle et moins probable après des comportements non-recommandés ; et 2) plusieurs dimensions de ce discours en faveur du changement (notamment la capacité, le désir et le besoin de changer) prédisaient un changement effectif dans la consommation d'alcool. Ces résultats encouragent donc à utiliser des comportements recommandés dans l'EM pour favoriser un discours en faveur du changement. Ils montrent aussi qu'une attention particulière doit être portée à certaines dimensions de ce discours car celles-ci indiquent un potentiel changement effectif de comportement.

The Uncertain generalized probabilistic weighted average and its application in the theory of expertons

A new model for dealing with decision making under risk by considering subjective and objective information in the same formulation is here presented. The uncertain probabilistic weighted average (UPWA) is also presented. Its main advantage is that it unifies the probability and the weighted average in the same formulation and considering the degree of importance that each case has in the analysis. Moreover, it is able to deal with uncertain environments represented in the form of interval numbers. We study some of its main properties and particular cases. The applicability of the UPWA is also studied and it is seen that it is very broad because all the previous studies that use the probability or the weighted average can be revised with this new approach. Focus is placed on a multi-person decision making problem regarding the selection of strategies by using the theory of expertons.

Graph theory reveals dysconnected hubs in 22q11DS and altered nodal efficiency in patients with hallucinations.

Schizophrenia is postulated to be the prototypical dysconnection disorder, in which hallucinations are the core symptom. Due to high heterogeneity in methodology across studies and the clinical phenotype, it remains unclear whether the structural brain dysconnection is global or focal and if clinical symptoms result from this dysconnection. In the present work, we attempt to clarify this issue by studying a population considered as a homogeneous genetic sub-type of schizophrenia, namely the 22q11.2 deletion syndrome (22q11.2DS). Cerebral MRIs were acquired for 46 patients and 48 age and gender matched controls (aged 6-26, respectively mean age = 15.20 ± 4.53 and 15.28 ± 4.35 years old). Using the Connectome mapper pipeline (connectomics.org) that combines structural and diffusion MRI, we created a whole brain network for each individual. Graph theory was used to quantify the global and local properties of the brain network organization for each participant. A global degree loss of 6% was found in patients' networks along with an increased Characteristic Path Length. After identifying and comparing hubs, a significant loss of degree in patients' hubs was found in 58% of the hubs. Based on Allen's brain network model for hallucinations, we explored the association between local efficiency and symptom severity. Negative correlations were found in the Broca's area (p < 0.004), the Wernicke area (p < 0.023) and a positive correlation was found in the dorsolateral prefrontal cortex (DLPFC) (p < 0.014). In line with the dysconnection findings in schizophrenia, our results provide preliminary evidence for a targeted alteration in the brain network hubs' organization in individuals with a genetic risk for schizophrenia. The study of specific disorganization in language, speech and thought regulation networks sharing similar network properties may help to understand their role in the hallucination mechanism.

Averting risk in the face of large losses: Bernoulli vs. Tversky and Kahneman

We experimentally question the assertion of Prospect Theory that people display risk attraction in choices involving high-probability losses. Indeed, our experimental participants tend to avoid fair risks for large (up to ? 90), high-probability (80%) losses. Our research hinges on a novel experimental method designed to alleviate the house-money bias that pervades experiments with real (not hypothetical) loses.Our results vindicate Daniel Bernoulli?s view that risk aversion is the dominant attitude,But, contrary to the Bernoulli-inspired canonical expected utility theory, we do find frequent risk attraction for small amounts of money at stake.In any event, we attempt neither to test expected utility versus nonexpected utility theories, nor to contribute to the important literature that estimates value and weighting functions. The question that we ask is more basic, namely: do people display risk aversion when facing large losses, or large gains? And, at the risk of oversimplifying, our answer is yes.

Cooperation and game theory, free software or the #15m movement: Two examples for universities

Closing talk of the Open Access Week 2011 at the UOC, by Josep Jover. Why do altruistic strategies beat selfish ones in the spheres of both free software and the #15m movement? The #15m movement, like software but unlike tangible goods, cannot be owned. It can be used (by joining it) by an indeterminate number of people without depriving anyone else of the chance to do the same. And that turns everything on its head: how universities manage information and what their mission is in this new society. In the immediate future, universities will be valued not for the information they harbour, which will always be richer and more extensive beyond their walls, but rather for their capacity to create critical masses, whether of knowledge research, skill-building, or networks of peers... universities must implement the new model or risk becoming obsolete.

Explaining rapid transitions in the practice of flood risk management

This article draws on empirical material to reflect on what drives rapid change in flood risk management practice, reflecting wider interest in the way that scientific practices make risk landscapes and a specific focus on extreme events as drivers of rapid change. Such events are commonly referred to as a form of creative destruction, ones that reveal both the composition of socioenvironmental assemblages and provide a creative opportunity to remake those assemblages in alternate ways, therefore rapidly changing policy and practice. Drawing on wider thinking in complexity theory, we argue that what happens between events might be as, if not more, important than the events themselves. We use two empirical examples concerned with flood risk management practice: a rapid shift in the dominant technologies used to map flood risk in the United Kingdom and an experimental approach to public participation tested in two different locations, with dramatically different consequences. Both show that the state of the socioenvironmental assemblage in which the events take place matters as much as the magnitude of the events themselves. The periods between rapid changes are not simply periods of discursive consolidation but involve the ongoing mutation of such assemblages, which could either sensitize or desensitize them to rapid change. Understanding these intervening periods matters as much as the events themselves. If events matter, it is because of the ways in which they might bring into sharp focus the coding or framing of a socioenvironmental assemblage in policy or scientific practice irrespective of whether or not those events evolve the assemblage in subtle or more radical ways.

Risk assessment tool for radical technologies – Case Technology A and Technology B

Työssä testataan radikaalien teknologioiden liiketoimintariskien evaluointityökalua. Työn teoreettinen tausta koostuu teknologia- ja innovaatioteorioista hyödyntäen myös resurssipohjaista yritysteoriaa täydennettynä evolutionäärisellä teorialla. Teoreettisessa osuudessa rakennetaan viitekehys, jolla liiketoimintariskejä voidaan arvioida ja muodostaa riskiprofiili. Liiketoimintariskien muuttujina ovat markkina-, teknologia- ja organisaatioriskit. Primäärisenä tietolähteenä käytettiin teema- ja strukturoituja haastatteluita. Ensimmäinen haastattelu käsitti evaluointityökalun käytettävyyttä ja riskienhallintaa yleensä. Loput haastattelut liittyivät teknologian A ja teknologian B liiketoimintariskien arvioimiseen. Tulokset osoittavat molemmat teknologiat sisältävän radikaaleille teknologioille ominaisia epävarmuustekijöitä. Riskiprofiilin hyödyllisyys liittyy liiketoimintariskien samanaikaiseen havaitsemiseen auttaen näin päätöksenteossa. Tärkeää evaluoinnissa on kiinnittää huomiota näkökulmaan, josta riskejä tarkastellaan riskiprofiilin validiteetin parantamiseksi.

The connection between distortion risk measures and ordered weighted averaging operators

Distortion risk measures summarize the risk of a loss distribution by means of a single value. In fuzzy systems, the Ordered Weighted Averaging (OWA) and Weighted Ordered Weighted Averaging (WOWA) operators are used to aggregate a large number of fuzzy rules into a single value. We show that these concepts can be derived from the Choquet integral, and then the mathematical relationship between distortion risk measures and the OWA and WOWA operators for discrete and finite random variables is presented. This connection offers a new interpretation of distortion risk measures and, in particular, Value-at-Risk and Tail Value-at-Risk can be understood from an aggregation operator perspective. The theoretical results are illustrated in an example and the degree of orness concept is discussed.

Handbook of life design : from practice to theory and from theory to practice

Our lives and careers are becoming ever more unpredictable. The "life-design paradigm" described in detail in this ground-breaking handbook helps counselors and others meet people's increasing need to develop and manage their own lives and careers. Life-design interventions, suited to a wide variety of cultural settings, help individuals become actors in their own lives and careers by activating, stimulating, and developing their personal resources. This handbook first addresses life-design theory, then shows how to apply life designing to different age groups and with more at-risk people, and looks at how to train life-design counselors

Detecting Heterogeneous Risk Attitudes with Mixed Gambles

We propose a task for eliciting attitudes toward risk that is close to real-world risky decisions which typically involve gains and losses. The task consists of accepting or rejecting gambles that provide a gain with probability p and a loss with probability 1−p . We employ finite mixture models to uncover heterogeneity in risk preferences and find that (i) behavior is heterogeneous, with one half of the subjects behaving as expected utility maximizers, (ii) for the others, reference-dependent models perform better than those where subjects derive utility from final outcomes, (iii) models with sign-dependent decision weights perform better than those without, and (iv) there is no evidence for loss aversion. The procedure is sufficiently simple so that it can be easily used in field or lab experiments where risk elicitation is not the main experiment.