Pricing Defaultable Bonds Using a Lévy Jump‐Diffusion Model

This paper uses a reduced‐form approach to derive a closed‐form pricing formula for defaultable bonds. The authors specify the default hazard rate as an affine function of multiple variables which follow the Lévy jump‐diffusion processes. Because such specification allows greater flexibility in the generation of a valid probability of default, their pricing model should be more accurate than the valuation models in traditional studies, which ignore the jump effects. This paper also proposes a new method for estimating the parameters in a Lévy Jump‐diffusion process. The real data from the Taiwanese bond market are used to illustrate how their model can be applied in practical situations. The authors compare the pricing results for the influential variables with no jump effects, with jump magnitudes following the normal distribution, and with jump magnitudes following the gamma distribution. The results reveal that the predictive ability is the best for the model with the jump components. The valuation model shown in this paper should help portfolio managers more accurately price defaultable bonds and more effectively hedge their portfolio holdings.     

Taxation, growth, and the spirit of capitalism

This paper uses a general two-sector model of endogenous growth to examine how the spirit of capitalism affects the relation between public finance and growth. The spirit of capitalism is defined as acquisitive personal objectives. We find that if the spirit of capitalism is present, an increase in the share of government spending in output reduces the long-run growth rate. The negative relationship between fiscal spending and growth is consistent with empirical evidence.     

A Note on Minimax Mixture of Distributions Free Procedure for Inventory Model with Variable Lead Time

In recent papers, Moon and Choi (1998) and Hariga and Ben-Daya (1999)considered a continuous review inventory model with a mixture of backordersand lost sales in which the lead time, the order quantity, and the reorder pointare decision variables was studied. Moreover, they also develop a minimaxdistribution free procedure for the problem. While the demands of differentcustomers are not identical in the lead time, then we can't only use a singledistribution (such as Moon & Choi (1998) and Hariga & Ben-Daya (1999))to describe the demand of the lead time. Hence, we correct and extend the modelof Moon and Choi (1998) and Hariga and Ben-Daya (1999) by considering thelead time demand with the mixture of distributions. In addition, we also applythe minimax mixture of distributions free approach to the model by simultaneouslyoptimizing the order quantity, the reorder point, and the lead time to devise a practical procedure which can be used without specific information on demand distribution.     

中国乡村公共品的提供:连带团体的作用

在威权和转轨体制下，民主和官僚政治制度通常很薄弱，为什么处于这种制度下的政府官员所提供的公共品，往往还超过了足够维护社会稳定所需的最低水平呢？案例研究表明，即使正式责任制度很薄弱，非官方惯例和规则的约束仍然能够促使当地官员设立并履行其公共责任。而这些非正式责任制度由特定类型的连带团体提供并在全社区发挥其道德权威。在其他条件都相同的情况下，存在这类集团的村庄比没有这类集团的村庄更有可能获得较好的公共品供应。     

Collaboration strategy decision-making using the Miles and Snow typology

Engaging in collaboration may be the best way for a firm to enhance its competitive advantages, since this can offer faster access to both resources and capabilities. This study aims to develop a framework for making collaboration partner choice decisions. The authors design a strategic game model of collaboration using Miles and Snow typology. An empirical data set collected from the S&P COMPUSTAT database is adopted to verify the model, and several managerial implications are derived. This model helps a company choose a competitor as a collaborative partner and helps in the selection of a collaboration strategy.     

Sustainability Strategy and Eco‐Innovation: A Moderation Model

This study develops a moderation model to examine the role of a proactive environmental strategy on eco‐innovation. Drawing upon the perspectives of contingency theory, this study argues that the impacts of sustainability strategy on eco‐innovation depend on market demand, innovation intensity and government subsidy. The sample used to test the hypotheses is obtained from the Community Innovation Survey in Taiwan. A total of 2955 manufacturing firms are included in the final sample. A logit moderating regression is adopted to analyze the models. The results reveal that market demand and government subsidy positively moderate the relationship between environmental strategy and eco‐innovation. Specifically, firms are more likely to adopt a proactive environmental strategy to improve eco‐innovation under high levels of market demand and government subsidy. Furthermore, the results indicate that innovation intensity affects the effect of environmental strategy on eco‐innovation, but the direction of the influence varies with different categories of eco‐innovation. Copyright © 2016 John Wiley & Sons, Ltd and ERP Environment     

E-loyalty driven by website quality: The case of destination marketing organization websites

The capability of website quality management to drive tourism customer e-loyalty is the key factor to achieve superior performance of destination marketing organization (DMO) website operations. The quality management approaches that revolve around website design quality and online relationship quality have drawn intensive attention from e-loyalty researchers in recent years. Thorough empirical investigation, however, still lacks in incorporating the integrative impact generated by the two approaches into DMO website quality management. The current study introduces and validates a theoretical framework based on such impact. As the research result reveals, six facets predict tourism customer e-loyalty directly: informational usefulness, navigational effectiveness, aesthetic appeal, entertainment, social presence, and self-concept congruity embedded in the functional, emotional, and symbolic dimensions of website design quality. Online relationship quality, comprised of relationship satisfaction and relationship trust, plays a partial mediator role in amplifying the e-loyalty driving effect of website design quality in the DMO website context.     

Mixed logit analysis of trade-off effects between international airline fares and fences: a revenue management perspective

As transportation is essential for tourism development, effectively utilizing its perishable resources has become an important issue. This study aims to analyse the relationship between airline fares and using conditions from the perspective of millennial tourists and taking the Taipei–Tokyo market as an example. The study attempts to show a revenue management practice in the manipulation of homogeneous seat service and give millennial tourists a better understanding of their preferences for ticket choices. We categorize availability of flight, advance booking, ticket validity, and changing conditions as main attributes and develop a stated-preference questionnaire with multiple hypothetical scenarios for respondents to select in the experiment. We effectively collect 390 valid samples for a mixed logit analysis and the results show that all applied attributes are statistically significant. Ticket validity is revealed to be the most important fence with the largest willingness-to-pay value and followed by availability of flight, advanced booking, and changing conditions.     

The Valuation Model for a Risky Asset When Its Risky Factors Follow Gamma Distributions

This paper constructed a pricing model for the asset with multi‐risks by specifying the risky factors (i.e., interest rate and termination hazard rates) to follow gamma distributions. The model not only avoids the possibility of the termination hazard rate taking an irrational (i.e., negative) value, but it also makes it easier to derive a valuation formula for a risky asset. Our model can also effortless apply because the parameters of the gamma distribution can easily be estimated from market data. An example using Taiwanese bond data illustrates how the model can be utilized for practical applications. To facilitate understanding of how accurately the different models price risky bonds, we compare their out‐of‐sample pricing errors for different hazard rate specifications assuming normal and gamma distributions. The results show that our pricing formula is realistic and accurate in its applications. Therefore, it should help market participants to accurately price risky assets and to effectively manage complicated portfolios.