Optimal investment of an insurer with regime-switching and risk constraint

We investigate an optimal investment problem of an insurance company in the presence of risk constraint and regime-switching using a game theoretic approach. A dynamic risk constraint is considered where we constrain the uncertainty aversion to the ‘true’ model for financial risk at a given level. We describe the surplus of an insurance company using a general jump process, namely, a Markov-modulated random measure. The insurance company invests the surplus in a risky financial asset whose dynamics are modeled by a regime-switching geometric Brownian motion. To incorporate model uncertainty, we consider a robust approach, where a family of probability measures is cosidered and the insurance company maximizes the expected utility of terminal wealth in the ‘worst-case’ probability scenario. The optimal investment problem is then formulated as a constrained two-player, zero-sum, stochastic differential game between the insurance company and the market. Different from the other works in the literature, our technique is to transform the problem into a deterministic differential game first, in order to obtain the optimal strategy of the game problem explicitly.     

Ethical Evaluations of Business Activities and Personal Religiousness

The study examines the relationship betweenmoral judgments of a business situation with ethicalcontent and personal religiousness. The findingssuggest that ethical interest and behaviour arerelated to religiousness. However, only the ethicalphilosophy of contractualism was found to be relatedto religiousness, while moral equity and relativismwere not.     

Fluctuations in convex models of endogenous growth, II: Business cycle properties

Using ideas from the endogenous growth literature, we present a model of the endogenous determination of productivity growth based on individual worker decisions about human capital investment. We calibrate a version of the model to match long run growth facts from the US and study the business cycle properties of this model. This approach offers improvements along several dimensions over standard exogenous growth methodologies. Most importantly, our stochastic endogenous growth model generates much greater serial correlation in output growth and labor supply volatility relative to its real business cycle counterpart. We conclude that using the extra discipline of reproducing the trend productivity growth features of the data endogenously constitutes an important missing component from the real business cycle approach.     

Managing reverse logistics to enhance sustainability of industrial marketing

In this paper, a sustainable industrial marketing framework of latest requirement of green and sustainable operation is proposed. When literatures in strategy, marketing and operation have provided insight about the efficiency of reverse logistics and business value for the customer, the interrelationship is still under explored. This raises the question whether manufacturers could determine ecological friendly strategies to address their customer's environmental conscious needs and design the suitable solution to strike the balance between ecology and economics. Based on the case study of a medical product manufacturer, this study addresses this question by investigating how manufacturers identify the problem of reverse logistics; design and develop of sustainable product and service by enhancing the efficiency of operations, and market competencies that add value to their customers' business processes. Within the strategy for designing for effective reverse logistics, these findings contribute to understand the use of information system and technology for reverse logistics to enhance the customer's business process and provide value-added process for customer retention.     

Interacting default intensity with a hidden Markov process

In this paper we consider a reduced-form intensity-based credit risk model with a hidden Markov state process. A filtering method is proposed for extracting the underlying state given the observation processes. The method can be applied to a wide range of problems. Based on this model, we derive the joint distribution of multiple default times without imposing stringent assumptions on the form of default intensities. Closed-form formulas for the distribution of default times are obtained which are then applied to solve a number of practical problems such as hedging and pricing credit derivatives. The method and numerical algorithms presented can be applicable to various forms of default intensities.     

Emotional intelligence,job insecurity,and psychological strain among real estate agents: a test of mediation and moderation models

We develop two models of the relationships between emotional intelligence (EI), job insecurity, and psychological strain. The moderation model suggests that EI reduces psychological strain by helping individuals cope with job insecurity when it arises. The mediation model suggests that EI reduces psychological strain by enabling individuals to conserve resources, thereby reducing their experience of job insecurity. Our results, based on a sample of 232 real estate agents, show that job insecurity mediates the relationship between EI and psychological strain. Contrary to what the moderation model suggested, the positive relationship between job insecurity and psychological strain was found to be stronger when EI was higher. Overall, the results provide more nuanced insights into the role of EI in psychological strain.     

Labor unions and tax aggressiveness

We examine the impact of unionization on firms' tax aggressiveness. We find a negative association between firms' tax aggressiveness and union power and a decrease in tax aggressiveness after labor union election wins. This relation is consistent with labor unions influencing managers' in one, or both, of two ways: (1) constraining managers' ability to invest in tax aggressiveness through increased monitoring; or (2) decreasing returns to tax aggressiveness that arise from unions' rent seeking behavior. We also find preliminary evidence that the market expects these reductions around union elections and discounts firms that likely add shareholder value via aggressive tax strategies.     

Optimal investment-reinsurance with dynamic risk constraint and regime switching

We study an optimal investment–reinsurance problem for an insurer who faces dynamic risk constraint in a Markovian regime-switching environment. The goal of the insurer is to maximize the expected utility of terminal wealth. Here the dynamic risk constraint is described by the maximal conditional Value at Risk over different economic states. The rationale is to provide a prudent investment–reinsurance strategy by taking into account the worst case scenario over different economic states. Using the dynamic programming approach, we obtain an analytical solution of the problem when the insurance business is modeled by either the classical Cramer–Lundberg model or its diffusion approximation. We document some important qualitative behaviors of the optimal investment–reinsurance strategies and investigate the impacts of switching regimes and risk constraint on the optimal strategies.     

Canonical Valuation of Mortality‐Linked Securities

A fundamental question in the study of mortality‐linked securities is how to place a value on them. This is still an open question, partly because there is a lack of liquidly traded longevity indexes or securities from which we can infer the market price of risk. This article develops a framework for pricing mortality‐linked securities on the basis of canonical valuation. This framework is largely nonparametric, helping us avoid parameter and model risk, which may be significant in other pricing methods. The framework is then applied to a mortality‐linked security, and the results are compared against those derived from other methods.