Business group characteristics and affiliated firm innovation: The case of Taiwan

This paper investigates the relationship between business group factors and affiliated firm innovation in terms of patents granted. We examine the following factors for business groups: group affiliation, group diversification, inside ownership, and family ties. In emerging markets, business groups act not only as an internal capital market, but also as a platform for resource sharing among affiliates. We use Taiwan's business groups as a research sample to investigate how these group factors affect affiliated firms' innovation. The findings indicate that firms that are affiliated with business groups innovate better than their unaffiliated counterparts. Group diversification and family ties have positive effects on firm innovation, while inside ownership has no significant positive effect. Our study contributes to the innovation literature by shedding light on business group factors and firm innovation.     

Antecedents of emotional attachment of social media users

Emotional attachment has been documented to be an effective basis for consumer loyalty behaviors in many contexts; however, not much has been offered for new service formats enabled by information technology. This study explores the emotional attachment of social media users in terms of personality traits of users and websites. Drawing on literature on brand personality and brand–self congruence, this research proposes that a match between user’s individual personality and the personality traits of the digital artifacts promotes affective connection to social media websites. The social media, to which the user becomes emotionally attached, therefore becomes part of one’s self-definition and representation in the digital world. Self-expressiveness is also investigated as a motivational driver that helps users form such an emotional bond. Individuals with higher motivation to express themselves are more likely to develop an emotional attachment to social networking sites, exhibit loyal behavior, and experience a stronger effect than self-website congruence on emotional attachment. Results of this research provide support to the proposed relationships. Theoretical and managerial implications are elaborated in the discussion.     

FINANCIAL DEVELOPMENT ON GROWTH CONVERGENCE

This paper investigates whether the impacts of financial development on growth convergence vary with the stage of real development. We implement this analysis through the instrumental variable threshold regression approach proposed by Caner and Hansen. Our empirical evidence shows that financial intermediary development leads to long‐run convergence in growth of both economic activity and productivity. Moreover, such convergence‐enhancing effects of financial intermediation are stronger for less‐developed countries than for the more industrialized. In addition, the data reveal that stock market development assists growth convergence only in low‐income countries.     

Inflation and the finance–growth nexus

This paper re-investigates whether there exist inflation thresholds in the finance–growth linkage. By applying the Caner and Hansen's (2004) instrumental-variable threshold regression approach to the dataset of Levine et al. (2000), we find strong evidence of a nonlinear inflation threshold in the relationship, below which financial development exerts a significantly positive effect on economic growth, while, above which, the growth effect of finance appears to be insignificant. Furthermore, we also find a positive and significant relationship between finance and productivity for inflation rates below the threshold level, but no such relationship is detected for inflation rates above the critical level. This result suggests that finance influences growth mainly through the productivity channel.     

Empirical of the Taiwan stock index option price forecasting model – applied artificial neural network

This work presents a novel neural network model for forecasting option prices using past volatilities and other options market factors. Out of different approaches to estimating volatility in the option pricing model, this study uses backpropagation neural network to forecast prices for Taiwanese stock index options. The ability to develop accurate forecasts of grey prediction volatility enables practitioners to establish an appropriate hedging strategy at in-the-money option.     

The effect of outward investment to China on domestic R&D: a two-hurdle model with endogenous ODI

Outward direct investment (ODI) and domestic R&D are interrelated, but empirical evidence is affected by the nature of a firm's data, which are heavily censored. Firm data contain a firm's yes/no decision to invest in China, yes/no decision of R&D, and the decision of R&D intensity. We thus adopt a two-hurdle model and allow the China investment decision to be endogenous in an R&D model in order to examine the effect of ODI in China on domestic R&D investment in Taiwan's electronics industry. In the model, a two-equation simultaneous subsystem is formed, in which three regression equations are specified: a decision of R&D intensity, and a yes/no decision of location to conduct R&D together with a yes/no decision to invest in China Our results indicate that China investment and R&D intensity are positively related such that ODI in China helps to raise significantly a firm's R&D intensity as compared to the estimate if the endogeneity of China investment and the nature of data were not properly accounted.     

The link between intraday signals and call warrant mispricing

This study proposes a linkage between intraday variables (signal amounts and signal duration) and the mispricing of Taiwan call warrant prices, based on the lower boundary condition of Merton [1973. Theory of rational option pricing. Bell Journal of Economics and Management Science, 4(1), 141–183] as modified by Galai [1978. Empirical tests of boundary conditions for CBOE options. Journal of Financial Economics, 9(2), 321–346]. Trading mispriced call warrants associated with a riskless hedging strategy over the period January 2004–December 2005 on average produces abnormal profits after taking into account transaction costs, as indicative of an inefficient market.     

Pricing policies for services by facilities with Weibull lifetimes

To make good profits, pricing is a competitive weapon of service firms. This paper is concerned with pricing strategies for services with substantial facility maintenance costs. To address the problem, a mathematical framework that incorporates service demand and facility deterioration is proposed. The facility and customers constitute a service system driven by Poisson arrivals and exponential service times. The most common log-linear customer demand and Weibull-distributed facility lifetime are also adopted. By examining the linkage between customer demand and facility deterioration in profit model, pricing policies of the service are investigated. Then analytical conditions of customer demand and facility lifetime are derived to achieve a unique optimal pricing policy. Finally, numerical examples are presented to illustrate the effects of parameter variations on the optimal pricing policy.