Free trade agreement and transport service trade

This study investigates the effects of free trade agreements (FTAs) on trade in transport services using OECD data from 2003 to 2006. Our analysis found that FTAs had a positive overall impact on transport services for multiple countries (i.e., 26 home and 56 partner countries). The resulting positive overall impact assures that, even with the challenges associated with different layers of services and the obstacles formed by generally low trade openness in the sector, the provisions in FTAs (e.g., national treatment and market access for goods and services) promote transport service trades. Our findings suggest that the provisions in FTAs encourage economic agents to increase engagement in transport services because of expanded openness of the physical movement of goods across international borders.     

Cultural Consonance in Leisure,Leisure Satisfaction,Life Satisfaction,and Self-Rated Health in Urban Taiwan

The purpose of this study threefold: to determine whether a shared cultural model of the importance of a set of leisure activities to a good leisure life existed in urban Taiwan, the degree to which cultural consonance in leisure mediates the relationship between leisure constraints and leisure satisfaction, and the degree to which leisure satisfaction affects life satisfaction and self-rated health. Results indicate that a cultural model of the importance of leisure activities to a good leisure life existed among sample members. Second, higher levels of self-reported participation in leisure activities that are culturally agreed upon as more important for a good leisure life are more strongly associated with leisure satisfaction than are activities culturally agreed upon as less important. Finally, leisure satisfaction strongly predicts both life satisfaction and self-rated health.     

Optimal dynamic reinsurance with dependent risks: variance premium principle

In this paper, we consider the optimal proportional reinsurance strategy in a risk model with two dependent classes of insurance business, where the two claim number processes are correlated through a common shock component. Under the criterion of maximizing the expected exponential utility with the variance premium principle, we adopt a nonstandard approach to examining the existence and uniqueness of the optimal reinsurance strategy. Using the technique of stochastic control theory, closed-form expressions for the optimal strategy and the value function are derived for the compound Poisson risk model as well as for the Brownian motion risk model. From the numerical examples, we see that the optimal results for the compound Poisson risk model are very different from those for the diffusion model. The former depends not only on the safety loading, time, and the interest rate, but also on the claim size distributions and the claim number processes, while the latter depends only on the safety loading, time, and the interest rate.     

Optimal investment-consumption-insurance with random parameters

This paper discusses an optimal investment, consumption, and life insurance purchase problem for a wage earner in a complete market with Brownian information. Specifically, we assume that the parameters governing the market model and the wage earner, including the interest rate, appreciation rate, volatility, force of mortality, premium-insurance ratio, income and discount rate, are all random processes adapted to the Brownian motion filtration. Our modeling framework is very general, which allows these random parameters to be unbounded, non-Markovian functionals of the underlying Brownian motion. Suppose that the wage earner’s preference is described by a power utility. The wage earner’s problem is then to choose an optimal investment-consumption-insurance strategy so as to maximize the expected, discounted utilities from intertemporal consumption, legacy and terminal wealth over an uncertain lifetime horizon. We use a novel approach, which combines the Hamilton–Jacobi–Bellman equation and backward stochastic differential equation (BSDE) to solve this problem. In general, we give explicit expressions for the optimal investment-consumption-insurance strategy and the value function in terms of the solutions to two BSDEs. To illustrate our results, we provide closed-form solutions to the problem with stochastic income, stochastic mortality, and stochastic appreciation rate, respectively.     

Reserves and cash flows under stochastic retirement

Uncertain time of retirement and uncertain structure of retirement benefits are risk factors for life insurance companies. Nevertheless, classical life insurance models assume these are deterministic. In this paper, we include the risk from stochastic time of retirement and stochastic benefit structure in a classical finite-state Markov model for a life insurance contract. We include discontinuities in the distribution of the retirement time. First, we derive formulas for appropriate scaling of the benefits according to the time of retirement and discuss the link between the scaling and the guarantees provided. Stochastic retirement creates a need to rethink the construction of disability products for high ages and ways to handle this are discussed. We show how to calculate market reserves and how to use modified transition probabilities to calculate expected cash flows without significantly more complexity than in the traditional model. At last, we demonstrate the impact of stochastic retirement on market reserves and expected cash flow in numerical examples.     

Barrier present value maximization for a diffusion model of insurance surplus

In this paper, we study a barrier present value (BPV) maximization problem for an insurance entity whose surplus process follows an arithmetic Brownian motion. The BPV is defined as the expected discounted value of a payment made at the time when the surplus process reaches a high barrier level. The insurance entity buys proportional reinsurance and invests in a Black–Scholes market to maximize the BPV. We show that the maximal BPV function is a classical solution to the corresponding Hamilton–Jacobi–Bellman equation and is three times continuously differentiable using a novel operator. Its associated optimal reinsurance-investment control policy is determined by verification techniques.     

A Qualitative Study for Measuring Warehouse Performance Using Triangulation Approach

This research aims to validate a structural equation modeling （SEM） model for measuring warehouse performance using data from an international company in Australia （company G）. Moreover, a methodological triangulation method was also adopted to test whether different methodological approaches produce convergent findings about warehouse performance measurement （WPM）. These three different methods are the SEM model, the multiple case research study, and validation of the SEM model using data from 80 companies in Thailand and a company in Australia. With the results from the triangulation method, it is obvious that the SEM model can be used to measure the performance of warehouses in Thailand and Australia. Since the SEM model consists only of significant indicators, it is more appropriate than company G＇s scorecard. Furthermore, the SEM model can overcome the limitations of traditional models by allowing companies to compare their performance over time.     

When was the U.S. housing downturn predictable? A comparison of univariate forecasting methods

This paper uses three classes of univariate time series techniques (ARIMA type models, switching regression models, and state-space/structural time series models) to forecast, on an ex post basis, the downturn in U.S. housing prices starting around 2006. The performance of the techniques is compared within each class and across classes by out-of-sample forecasts for a number of different forecast points prior to and during the downturn. Most forecasting models are able to predict a downturn in future home prices by mid 2006. Some state-space models can predict an impending downturn as early as June 2005. State-space/structural time series models tend to produce the most accurate forecasts, although they are not necessarily the models with the best in-sample fit.     

后金融危机时代会计计量

此次百年不遇的金融危机充分暴露了现行会计公允价值计量的弊端。要使会计计量准确合理、会计信息可靠有效，必须解决资产、负债价值计量、会计计量模式选择、净资产与所有者权益关系、负债价值变动对利润的影响以及会计等式形成等问题．     

Structural reforms and fiscal adjustments: policy options for the euro area

This paper analyses the effects of structural reform and fiscal consolidation policies in the Euro Area using a stylized new-Keynesian model. A number of issues are focused upon: (i) the modelling and effects of fiscal consolidation and structural reforms, and (ii) evaluation of alternative reform and consolidation scenarios, including their joint implementation.