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A bivariate GARCH-in-mean model for individual stock returns and the market portfolio is designed to model volatility and to test the conditional Capital Asset Pricing Model versus the conditional Residual Risk Model. We find that a univariate model of volatility for individual stock returns is misspecified. A joint modelling of the market return and the individual stock return shows that a major force driving the conditional variances of individual stocks is the history contained in the market return variance. We find that a conditional residual risk model, where the variance of the individual stock return is used to explain expected returns, is preferred to a conditional CAPM. We propose a partial ordering of securities according to their market risk using first and second order dominance criteria.  相似文献   
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  总被引:4,自引:0,他引:4  
A continuous flow of new products is the lifeblood for firms that hope to remain competitive in high-technology industries such as telecommunications. Faced with rapidly shrinking product life cycles, these firms must aggressively pursue the quest for more effective new product development (NPD). Ongoing success in such industries is dependent on choosing the right mix of new product strategy, organizational structure, and NPD processes. Rather than considering the interrelationships among these success factors, however, most previous studies of NPD have examined these issues individually. This shortcoming is compounded by the fact that past studies of NPD have typically cut across industry lines. Gloria Barczak addresses these problems by proposing that a firm's choice of new product strategy, structure, and process are interrelated, as are the effects of those choices on NPD performance. Because these choices and their effects also may be dependent on the unique characteristics of the industry in which a firm competes, her study focuses exclusively on firms in a specific, high-technology industry, telecommunications. The study finds that no single NPD strategy, in and of itself, stands out as being better than any other for the telecommunications industry. Instead, it appears that a company's focus should be on ensuring the best possible fit between its chosen NPD strategy and its corporate goals and capabilities. In keeping with the current focus on cross-functional teams, the study results indicate that project teams and R&D teams are the most effective means for organizing NPD efforts in the telecommunications industry. Perhaps not surprisingly, R&D teams are more important for first-to-market firms than they are for fast followers and late entrants. An R&D team provides the technical skills necessary for playing the role of pioneer. Regardless of the firm's NPD strategy and structure, the presence of a product champion is an important element in the success of new product efforts. In an era of rapid, technological advances, idea generation and screening efforts are essential to the success of telecommunications firms. To ensure that they do not fall into the trap of introducing technology for technology's sake, pioneering and fast-follower firms in particular must recognize the importance of staying in touch with their markets. Such market-oriented activities as customer prototype testing and concept definition and testing can help these firms ensure that their technological developments are in line with customer needs and requirements.  相似文献   
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Along with variables like the service process, perceived service value and customer satisfaction, job satisfaction of service employees plays a vital role in customer evaluation of service result. However, there has been little in-depth research into the nature of this relation, in particular in the context of B2B relations. In the sphere of an organization providing financial intermediation services to the banking sector and on the basis of a literature review, hypotheses are developed which establish the mediator role of service value and the moderator role of job satisfaction of service employees when delimiting customer satisfaction. Reliability and validity analysis give satisfactory results and our conclusions establish firstly that service encounter directly and significantly affects perceived service value which is the final antecedent to customer satisfaction and secondly, that the level of employment satisfaction moderates its effect on service value.  相似文献   
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We describe the quantitative modeling techniques that are used in horizontal merger review for the evaluation of unilateral effects, and discuss how the 2010 Horizontal Merger Guidelines helped legitimize these methods and motivate scholarly research. We cover markets that feature differentiated products pricing, auctions and negotiations, and homogeneous products, in turn. We also develop connections between quantitative modeling and market concentration screens that are based on the Herfindahl-Hirschman Index (HHI).

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Recent years have witnessed the surging of Chinese manufacturers, as China has become the world’s factory floor. This paper presents a case study of one of the most successful manufacturers in China, the Galanz Group, now the world’s largest microwave manufacturer. Based on theories of multinational corporations from emerging economies, the paper examines the process of Galanz’s integration into the global market. The company has developed unique competitive strategies that have made it a great success within China and in overseas markets. The Galanz model suggests strong strategic implications for both Chinese firms and incumbent multinational corporations.
Daniel Z. DingEmail:
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We approximate probabilistic forecasts for interval-valued time series by offering alternative approaches. After fitting a possibly non-Gaussian bivariate vector autoregression (VAR) model to the center/log-range system, we transform prediction regions (analytical and bootstrap) for this system into regions for center/range and upper/lower bounds systems. Monte Carlo simulations show that bootstrap methods are preferred according to several new metrics. For daily S&P 500 low/high returns, we build joint conditional prediction regions of the return level and volatility. We illustrate the usefulness of obtaining bootstrap forecasts regions for low/high returns by developing a trading strategy and showing its profitability when compared to using point forecasts.  相似文献   
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