A note on the hedging effectiveness of GARCH models

This note compares the hedging effectiveness of the conventional hedge ratio and time-varying conditional hedge ratios (of which GARCH ratio is a special case). It is shown that, in large sample cases, the conventional hedge ratio provides the best performance. For small sample cases, a sufficiently large variation in the conditional variance of the futures return is required to produce the opposite result. The result is due to the fact that the hedging effectiveness measure is based upon the unconditional variance; meanwhile, the conventional hedge ratio minimizes the unconditional variance and the conditional hedge ratio aims at minimizing the conditional variance.     

Financial assistance for study abroad students: An economic analysis

This paper examines the scholarship payback policy embedded in a study abroad program. A full payback policy requires a student to return the whole amount of the scholarship should he fail to achieve a target post-program performance, whereas a partial payback policy requires a payback amount in proportion to the extent of the under-performance. It is found that, the university should adopt a fixed amount scholarship to maximize the average post-program ability. There is also an optimal partial payback policy.     

Hedging gas bills with weather derivatives

Natural gas company managers concerned with customer satisfaction attempt to minimize the occurrence of extreme bills. Previously, only price fluctuations were addressed with derivative instruments; exchange-traded weather derivatives present a means of hedging exposure to increases in quantity of gas demanded during colder than expected winter months. We model a natural gas company’s ability to adjust for consumer sensitivity and exposure to extreme bills with the use of an optimal mix of weather derivatives and gas pricing derivatives. We find consumer exposure to extreme bills is minimized when the utility uses pricing and weather derivatives.(JEL G11, L51)     

Fractional cointegration and futures hedging

This article examines the performance of various hedge ratios estimated from different econometric models: The FIEC model is introduced as a new model for estimating the hedge ratio. Utilized in this study are NSA futures data, along with the ARFIMA-GARCH approach, the EC model, and the VAR model. Our analysis identifies the prevalence of a fractional cointegration relationship. The effects of incorporating such a relationship into futures hedging are investigated, as is the relative performance of various models with respect to different hedge horizons. Findings include: (i) Incorporation of conditional heteroskedasticity improves hedging performance; (ii) the hedge ratio of the EC model is consistently larger than that of the FIEC model, with the EC providing better post-sample hedging performance in the return–risk context; (iii) the EC hedging strategy (for longer hedge horizons of ten days or more) incorporating conditional heteroskedasticty is the dominant strategy; (iv) incorporating the fractional cointegration relationship does not improve the hedging performance over the EC model; (v) the conventional regression method provides the worst hedging outcomes for hedge horizons of five days or more. Whether these results (based on the NSA index) can be generalized to other cases is proposed as a topic for further research. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 457–474, 1999     

基于第三方物流实施的延迟制造

目前针对由第三方物流企业实施的延迟制造研究很少。本文阐述了第三方物流提供的四种延迟制造服务以及该服务给第三方物流客户创造的价值。分析了第三方物流的组织方法——平台方法,也即资源共享方法。同时对第三方物流开展延迟制造业务提出了战略性建议,从而为第三方物流开展延迟制造业务提供了指南。     

Does the Confucius institute impact international travel to China? A panel data analysis

This article examines the impact of Confucius Institutes on inbound travel to China. We estimate a panel gravity model of inbound tourism flows to China between 2004 and 2010. We use a Poisson pseudo-maximum likelihood estimator to control for heteroscedasticity endemic in gravity models (Santos Silva and Tenreyro, 2006). We find that the presence of Confucius Institute(s) in the source country increases overall tourism in general and business and worker tourists in particular.     

Properties of first-time vs. repeat visitors: lessons for marketing Norwegian ski resorts

This paper explores the potential in foreign markets for winter tourism in Norway and discusses the influencing factors explaining why foreign tourists visit and revisit Norway on ski vacations. In a decreasing market, it becomes increasingly important to destination managers and marketers to choose the right marketing strategies and direction. We focus on characteristics that influence and explain why foreign tourists choose to return. More than 3000 respondents from Sweden, Denmark, and Germany were asked for their image of Norwegian ski destinations and criteria for winter vacation selection. We fitted mainly hurdle and quantile regressions to gain consistent and less biased estimates. Stable snow conditions, combining alpine and cross-country skiing, and no fees for the latter are some of Norway's competitive but seldom marketed advantages, and especially towards repeat visitors. Repeaters typically prefer self-catering accommodation and are less price sensitive. Surprisingly, foreign ski tourists are not very interested in other snow-based activities or cultural attractions. Despite repeaters constituting the majority of foreign ski tourists, neither the national development and marketing agency (Innovation Norway) nor local tourist organizations and marketers have a strategy for targeting them. We recommend a shift from profile marketing towards segmented marketing, aimed especially at the repeat-visitor segment.