Word-of-mouth rhetorics in social media talk

Although researchers and practitioners have access to a growing body of evidence on the effects of electronic word-of-mouth (eWOM) frequency and valence, a more detailed understanding of eWOM content is needed in order to better influence these social media-enabled conversations. Based on an ethnomethodological analysis of community conversations in a popular parenting online forum, we reveal that eWOM is a powerful social act in which consumers use a broad repertoire of eWOM rhetorical methods. The repertoire for advice-seeking talk includes five components: seeker's legitimacy, topic legitimacy, request formulation, solicitation of responders, and requested response framing. The repertoire for advice-giving includes four components: foundation of authority, advice framing, advice focus, and advice scheme. For each of these components in the two repertoires, we identify corresponding rhetorical methods that can be used in the conversation (over 30 methods in total). Preliminary evidence also suggests that rhetorical alignment between advice-seekers and givers drives effectiveness of eWOM advice. The proposed rhetorical framework has relevance and implication for the many areas where social media and marketing meet.     

Stress and turnover intents in international organizations: social support and work–life balance as resources

Abstract

This study investigates whether work opportunities have an impact on stress and the related turnover intentions of employees working in intergovernmental international organizations (IOs). It contextualizes the job resources and demands model within IOs’ specific work conditions. The empirical test is based on original data from a survey administered in four major organizations of the United Nations system. Results demonstrate that social work opportunities and work–life balance are organizational levers reducing stress and willingness to quit for employees who are facing red tape or the stresses of being an expatriate. In this context, the relationships between these work opportunities and turnover intention are partially mediated by stress. Contextualized HR management propositions are made to help organizations coping with these management challenges.     

Market completion with derivative securities

Let \(S^{F}\) be a ?-martingale representing the price of a primitive asset in an incomplete market framework. We present easily verifiable conditions on the model coefficients which guarantee the completeness of the market in which in addition to the primitive asset, one may also trade a derivative contract \(S^{B}\). Both \(S^{F}\) and \(S^{B}\) are defined in terms of the solution \(X\) to a two-dimensional stochastic differential equation: \(S^{F}_{t} = f(X_{t})\) and \(S^{B}_{t}:=\mathbb{E}[g(X_{1}) | \mathcal{F}_{t}]\). From a purely mathematical point of view, we prove that every local martingale under ? can be represented as a stochastic integral with respect to the ?-martingale \(S :=(S^{F}, S^{B})\). Notably, in contrast to recent results on the endogenous completeness of equilibria markets, our conditions allow the Jacobian matrix of \((f,g)\) to be singular everywhere on \(\mathbb{R}^{2}\). Hence they cover as a special case the prominent example of a stochastic volatility model being completed with a European call (or put) option.     

Physical and Economic Consequences of Sea-Level Rise: A Coupled GIS and CGE Analysis Under Uncertainties

This paper develops a modelling framework that links GEMINI-E3, a multi-regional, multi-sectoral computable general equilibrium model with a cost-benefit analysis approach at local level using geographical information system tools to assess the physical and economic consequences of sea-level rise (SLR) in the twenty first century. A set of future scenarios is developed spanning the uncertainties related to global warming, the parameters of semi-empirical SLR estimates, and coastal developments (cropland, urban areas and population). The importance of incorporating uncertainties regarding coastal development is highlighted. The simulation results suggest that the potential development of future coastal areas is a greater source of uncertainty than the parameters of SLR itself in terms of the economic consequences of SLR. At global level, the economic impact of SLR could be significant when loss of productive land along with loss of capital and forced displacement of populations are considered. Furthermore, highly urbanised and densely populated coastal areas of South East Asia, Australia and New Zealand are likely to suffer significantly if no protective measures are taken. Hence, it is suggested that coastal areas needs to be protected to ameliorate the overall welfare cost across various regions.     

Estimation of zero-intelligence models by L1 data

A unit volume zero-intelligence (ZI) model is defined and the distribution of its L1 process is recursively described. Further, a generalized ZI model allowing non-unit market orders, shifts of quotes and general in-spread events is proposed and a formula for the conditional distribution of its quotes is given, together with a formula for price impact. For both the models, MLE estimators are formulated and shown to be consistent and asymptotically normal. Consequently, the estimators are applied to data of six US stocks from nine electronic markets. It is found that more complex variants of the models, despite being significant, do not give considerably better predictions than their simple versions with constant intensities.     

Uncertainty on survival probabilities and solvency capital requirement: application to long-term care insurance

In this paper, we focus on uncertainty issues on disabled lives survival probabilities of LTC insurance policyholders and its consequences on solvency capital requirement. Among the risks affecting long-term care portfolios, special attention is addressed to the table risk, i.e. the risk of unanticipated aggregate mortality, arising from the uncertainty in modeling LTC claimants survival law. The table risk can be thought as the risk of systematic deviations referring not only to a parameter risk but, as well, to any other sources leading to a misinterpretation of the life table resulting for example from an evolution of medical techniques or a change in rules of acceptance. In fine, the idea is to introduce the risk of systematic deviations arising from the uncertainty on the disabled lives death probabilities directly. We analyze the consequences of an error of appreciation on the disabled lives survival probabilities in terms of level of reserves and describe a framework in an Own Risk and Solvency Assessment perspective to measure the gap between the risk profile from the standard formula to the risk analysis specific to the organism.     

Extreme events and the cumulative distribution of net gains in gambling and structured products

We argue that ethical principles in advertising and market communication cannot be properly discovered and applied to gambling without a deep understanding of its probabilistic implications, in particular when extreme events are influential. We carry out a probabilistic analysis of lottery games with lifetime prizes in order to derive sound recommendations about the pertinent information that should be communicated to nudge gamblers. We propose to focus on the cumulative distribution of net gains, for which there is currently no information available to gamblers. This holds true for structured products in which extreme events matter as well.     

Optimal fiscal policy in sunspot‐driven oligopolistic economies

Economies with oligopolistic markets are prone to inefficient sunspot fluctuations triggered by autonomous changes in firms equilibrium conjectures. A well‐designed taxation‐subsidization scheme can eliminate these fluctuations by coordinating firms in each sector on a single equilibrium, left unaffected. The optimal taxation scheme must select the number of active firms that makes the best trade‐off (in terms of consumer welfare) between the markup and the scale inefficiency distortions. Implementing such stabilization policy leads to significant welfare gains, attributable to an “efficient stabilization effect,” typically ignored in usual computations of the welfare costs of fluctuations.