The market price of risk of the variance term structure

In this paper I examine the market price of risk of the variance term structure. To this end, the S&P 500 option implied variance term structure is used as a proxy for aggregate variance risk. Principal component analysis shows that time variation in the variance term structure over the 1996–2012 period can be explained mainly by two factors which capture changes in the level and slope. The market price of risk of each factor is estimated in the cross-section of stock returns. The slope of the variance term structure is the most significant factor in the cross-section of stocks returns and carries a negative risk premium. The slope factor has also some predictive ability over long horizon equity returns.     

Perceptions of determinants of job selection in the hospitality and tourism industry: The case of Korean university students

ABSTRACT

This study explores the key factors influencing potential employees in the hospitality and tourism industry and examines whether causal relationships between behavioral attitudes, subjective norms, and perceived behavioral control influence students' job selection. The study suggests that the career decision-making process is related to job selection. A total of 307 responses were analyzed. The results explain individual students' attitudes toward a behavior and perceived behavioral control in the context of their job selection. Attitudes toward a behavior and job selection had significant effects on career decisions. On the other hand, opinions of significant others had no significant effect. Perceived behaviors required to decide on jobs had a significant effect on job selection intentions. Students with internship experience were likely to form positive attitudes toward the hospitality and tourism industry, suggesting internships to be a useful source of a stronger relationship between the industry and job aptitudes of students in hospitality and tourism programs. The results have important implications.     

GIS as a tool for selection of sample areas in a travel behaviour survey

Whilst Geographical Information Systems (GIS) are now used more commonly in transport research and modelling, GIS techniques were used in this study to select similar sample areas (in terms of geography and census attributes) for data collection. For this purpose, a GIS mapping system for Tyne and Wear, UK, was built. The system included topographic maps of the area, boundary maps of Lower Super Output Areas (LSOA), and aggregated census statistics datasets for LSOAs. Criteria relating to census attributes and the nature of transport were employed to identify ‘hotspots’ by GIS enquiry to provide suitably matching areas, which then formed the basis of the sampling frame.The research project was concerned with commuters’ travel choices and so the study needed to identify commuters. In this case-study context, it is not possible to select fully homogeneous areas, so the GIS ‘hotspots’ approach allowed the identification of areas where there were a high concentration of commuters with multiple alternatives for travel to work. A pilot study showed that the GIS origin-based approach was good in collecting a balanced sample, as compared to an employment-based destination survey. This paper explores the benefits and costs of these origin- and destination-based approaches. In the origin-based home sample, households with paper-based surveys were targeted after identification by GIS. This origin approach requires more data preparation compared to the alternative of an employer-based, destination-based sample that could use online survey methodologies.The paper concludes by identifying GIS as an important tool in selecting a sample area for data collection using multiple criteria, but argues that plans for data collection need to be flexibly constructed to overcome unexpected challenges. Although this paper focuses on a transport research case study, the methodology presented can be applied to survey design and selection of sample areas in other disciplines.     

A decision method for supplier selection in multi-service outsourcing

Although supplier selection in multi-service outsourcing is a very important decision problem, research concerning this issue is still relatively scarce. This paper proposes a decision method for selecting a pool of suppliers for the provision of different service process/product elements. It pioneers the use of collaborative utility between partner firms for supplier selection. A multi-objective model is built to select desired suppliers. This model is proved to be NP-hard, so we develop a multi-objective algorithm based on Tabu search for solving it. We then use an example to show the applicability of the proposed model and algorithm. Extensive computational experiments are also conducted to further test the performance of the proposed algorithm.     

A weighted max-min model for fuzzy multi-objective supplier selection in a supply chain

Supplier selection is one of the most important activities of purchasing departments. This importance is increased even more by new strategies in a supply chain. Supplier selection is a multi-criteria decision making problem in which criteria have different relative importance. In practice, for supplier selection problems, many input information are not known precisely. The fuzzy set theories can be employed due to the presence of vagueness and imprecision of information. A weighted max-min fuzzy model is developed to handle effectively the vagueness of input data and different weights of criteria in this problem. Due to this model, the achievement level of objective functions matches the relative importance of the objective functions. In this paper, an analytic hierarchy process (AHP) is used to determine the weights of criteria. The proposed model can help the decision maker (DM) to find out the appropriate order to each supplier, and allows the purchasing manager(s) to manage supply chain performance on cost, quality and service. The model is explained by an illustrative example.     

价值工程方法在工程项目设计方案比选中的应用

项目的价值工程方法是一种以实现项目利益相关各方最高满意度的创造性活动,在规划设计阶段,价值工程对项目价值有决定性的影响。因此,在项目前期,应积极应用价值工程的方法进行多方案的比选分析,以达到项目价值的最大化目的。     

Hong Kong's growth synchronization with China and the US: A trend and cycle analysis

This paper investigates the synchronization of Hong Kong's economic growth with mainland China and the US. We identify trends of economic growth based on the permanent income hypothesis. Specifically, we first confirm whether real consumption in Hong Kong and mainland China satisfies the permanent income hypothesis, at least in a weak form. We then identify the permanent and transitory components of income of each economy using a simple state-space model. We use structural vector autoregression models to analyze how permanent and transitory shocks originating from mainland China and the US affect the Hong Kong economy, and how such influences evolve over time. Our main findings suggest that transitory shocks from the US remain a major driving force behind Hong Kong's business cycle fluctuations. On the other hand, permanent shocks from mainland China have a larger impact on Hong Kong's trend growth.     

我国台商投资大陆区位选择影响因素的实证研究

选取1991—2011年我国台商投资大陆地区各省(地区)相关变量的历史统计数据,采用面板数据分析方法,建立各时段面板数据模型,对我国台商投资大陆区位选择的影响因素进行实证分析。研究结果显示:影响我国台商投资大陆区位选择的因素主要有产业结构、政府政策、生产效率、基础设施、劳动力成本和开放水平等;其中,政府政策和开放水平是影响台商投资大陆区位选择的稳定且主要的因素;产业结构、基础设施和劳动力成本的影响次之,生产效率的影响并不显著;各因素对台商投资大陆区位选择的影响程度和方向不断变化,即产业结构的影响呈上升趋势,基础设施和劳动力成本的影响逐渐减弱。