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We investigate the return and volatility spillovers from major UK banks to Financial Times Stock Exchange 100 (FTSE 100) index using Gaussian estimation and continuous time models as well as discrete time multivariate GARCH (MGARCH) modelling approaches. Using daily, weekly and monthly data over the period December 1999–December 2010, which includes the recent 2007–2009 global financial crisis, empirical estimates of uni- and/or bi-directional return and volatility spillovers are provided. The bivariate MGARCH results reveal strong return spillovers from the FTSE to the banks, and no return spillover from the latter to the FTSE. Nevertheless, strong bi-directional volatility transmission is verified. The continuous time analysis provides mixed evidence of feedback effects over the different models.

Capital markets thrive on information, and the information revolution has transformed these markets all over the world. Investors can now keep track of the movements of capital markets in real-time and they react to the flow of information from around the world. One of the concerns of stock market investors is whether the markets operate efficiently, independently, and with sound fundamentals. However, real market movements tend to exhibit a link as is evident from recent market movements across the world.

The assessment of interdependence between stock markets is an important aspect of international portfolio management. The aim of this chapter is to examine the shock and volatility spillover between the Standard and Poor’s 500 (S&P500) index from the United States (US) Stock Exchange and the Istanbul Stock Exchange 100 (BIST100) index from the Stock Exchange Istanbul.

S&P500 index, which is the most important index representing US markets, and BIST100 index, which is the index representing the Turkish market, were used as variables in this study. In the analysis, the causality in variance test was applied to determine the volatility spillover between these two markets. Later, multivariate GARCH (MGARCH) models were used to measure the volatility spillover in the markets. VAR(1)-GARCH (1,1)-Diagonal BEKK model was applied to the daily data to determine the shock and volatility spillover in the markets.

As a result of the variance causality test, it was found that there is a bi-directional volatility spillover between S&P500 index and BIST100 index. When the return spillover between the markets is examined, a one-way spillover from the S&P500 index to the BIST100 index emerged. Diagonal BEKK model results show that each market is affected by its own news (unexpected shocks) and volatility. Furthermore, the volatility is persistent for both markets. These findings demonstrate that the US market and the Turkish market interact with each other.

We present an overview of research on spillover effects within firms and introduce a classification of the literature. We divide spillovers into either technological or social in nature. In our classification, a technological spillover is one in which an agent rationally responds to a cue in the workplace that does not rely on the identity or characteristics of a coworker. Social spillovers, on the other hand, may be thought of as arising from the social preferences of an individual or social norms established in the organization.

The purpose of the chapter is to analyze how firms’ R&D investment decisions are affected by asymmetries in knowledge transmission, taking into account different sources of asymmetry, such as unequal know-how management capabilities and spillovers localization within an international oligopoly. We follow a game theoretic approach and consider a two-country imperfect competition model with two firms – one from each country – producing a homogeneous good. Both the firms’ mode of foreign expansion and R&D level are endogenously determined. We find that a better ability to manage knowledge flows incentivates the firm to invest more in R&D. By introducing geographically bounded spillovers, we also show that one-way foreign direct investment (FDI) stimulates the multinational enterprise (MNE) to raise its own R&D, due to both the elimination of transport cost and a greater ability to source. Furthermore, it emerges that when geographical proximity increases the MNE's capability to source local know-how, FDI is more likely to occur. The originality of this chapter relies on the analysis of the impact of asymmetries within an oligopoly model with endogenous R&D. Differently from other studies, this framework allows us to provide neat analytical results.

Nursing, as a gendered occupation, is one that requires vast amounts of emotional labor to be performed. As careworkers, nurses are required to assume multiple roles at work: medical expert, companion, and personal care provider. Roles, or expected behaviors associated with different statuses, have the potential to spillover between work and home environments. The purpose of this chapter is to investigate how nurses perceive their role-taking and emotional labor processes to influence experiences of work–family spillover.

Rooted in interactionist role theory, this investigation seeks to qualitatively examine how nurses assign meaning to their various roles and how they perceive their roles to influence work–family spillover. Using audio diary and interview data, this chapter proposes that nurses who practice role-person merger (Turner, 1978) and empathic role-taking (Shott 1979) will also perceive work–family spillover to be related to their caretaking roles as nurses. Three distinct themes emerged in this qualitative analysis related to how experiences of work–family spillover are influenced by the emotional labor demands of the job and the practice of empathic role-taking by nurses: (1) spillover related to required emotional labor is experienced both positively and negatively; (2) nurses actively exercise personal agency in an attempt to decrease negative spillover; and (3) nurses reported increased work–family spillover when they practiced empathic role-taking.

This analysis extends the literature in this area by demonstrating the connection between the structural influences on emotion, the individual perceptions of roles, and the subsequent experiences of work–family spillover.

Research on acquisition performance has not considered the customer perspective for a long time. Based on associative network theory, we propose two spillover effects – forward and reverse – to reflect the effect of acquirer and target reputation on customer responses toward a horizontal acquisition. The reputation of both the acquirer and target can transfer to acquisition and affect customer attitudes toward the post-merged corporation and target customer retentions. However, the influence of the acquirer reputation (forward spillover effect) is stronger than that of the target reputation (reverse spillover effect). Because of asymmetric spillover effects from the acquirer and target, we suggest that the performance effects of A acquiring B may not be the same as that of B acquiring A, given that A and B are highly related firms. The level of post-acquisition brand integration moderates the asymmetric spillover effect on acquisition performance. A higher level of post-acquisition brand integration indicates a stronger asymmetric spillover effect on acquisition performance.

This study examines how foreign R&D investment may explain interfirm variations in productivity performance of home country firms in terms of spillovers. Many have studied spillovers from MNCs to host country’s firms, but there is still scarce evidence on spillovers from outward FDI to the home country. This study analyzes spillovers from foreign R&D investment and hypothesizes that the benefit of outward R&D spillovers occurs only when knowledge accumulated in foreign R&D centers is effectively transferred to MNCs’ parent companies at home. This benefit depends on the mandate of foreign R&D units, their embeddedness in the host economy, and their entry mode. Using detailed firm-level data for Switzerland, our findings seem to support our arguments.

This chapter estimates heterogeneous productivity growth and spatial spillovers through industrial linkages in the United States and China from 1981 to 2010. The authors employ a spatial Durbin stochastic frontier model and estimates with a spatial weight matrix based on inter-country input–output linkages to describe the spatial interdependencies in technology. The authors estimate productivity growth and spillovers at the industry level using the World KLEMS database. The spillovers of factor inputs and productivity growth are decomposed into domestic and international effects. Most of the spillover effects are found to be significant and the spillovers of productivity growth offered and received provide detailed information reflecting interdependence of the industries in the global value chain (GVC). The authors use this model to evaluate the impact of a US–Sino decoupling of trade links based on simulations of four scenarios of the reductions in bilateral intermediate trade. Their estimation results and their simulations are as mentioned based on date that ends in 2010, as this is the only KLEMS data available for these countries at this level of industrial disaggregation. As the GVC linkages between the United States and China have expanded since the end of their sample period their results can be viewed as informative in their own right for this period as well as possible lower bounds on the extent of the spillovers generated by an expanding GVC.

This study examines return and volatility spillovers from the US and Japanese stock markets to three South Asian capital markets – (i) the Bombay Stock Exchange, (ii) the Karachi Stock Exchange and (iii) the Colombo Stock Exchange. We construct a univariate EGARCH spillover model that allows the unexpected return of any particular South Asian market to be driven by a local shock, a regional shock from Japan and a global shock from the USA. The study discovers return spillovers in all three markets, and volatility spillovers from the US to the Indian and Sri Lankan markets, and from the Japanese to the Pakistani market. Regional factors seem to exert an influence on these three markets before the Asian financial crisis but the global factor becomes more important in the post-crisis period.

This paper analyzes the stability and the welfare properties of R&D cooperations in an oligopolistic market with n firms. It is shown that the sizes of stable coalitions vary significantly with the kind and the actual value of spillovers, the institutional arrangement of cooperation between the firms and the underlying stability concept. Moreover, the welfare maximizing coalition is rarely a stable equilibrium outcome, hence there is scope for political intervention. However, the informational requirements on part of the policy makers are high, and they are at risk to adopt inappropriate measures that are detrimental to social welfare.