The effects of power on consumers’ evaluation of a luxury brand's corporate social responsibility

This paper examines how power affects consumers’ responses to corporate social responsibility (CSR) initiatives of luxury brands. The results of three studies show that high‐power individuals evaluated a luxury brand's CSR campaign more positively than low‐power individuals. High‐power individuals viewed CSR activities as being more fluent than low‐power individuals. This study further demonstrates that power influences consumers’ responses to nonluxury brand's CSR activities. Low‐power individuals, who are more receptive to warmth, evaluated nonluxury brand's CSR more favorably rather than high‐power individuals.     

Time series copulas for heteroskedastic data

We propose parametric copulas that capture serial dependence in stationary heteroskedastic time series. We suggest copulas for first‐order Markov series, and then extend them to higher orders and multivariate series. We derive the copula of a volatility proxy, based on which we propose new measures of volatility dependence, including co‐movement and spillover in multivariate series. In general, these depend upon the marginal distributions of the series. Using exchange rate returns, we show that the resulting copula models can capture their marginal distributions more accurately than univariate and multivariate generalized autoregressive conditional heteroskedasticity models, and produce more accurate value‐at‐risk forecasts.     

Building relationship innovation in global collaborative partnerships: big data analytics and traditional organizational powers

This study examines how relationship innovation can be developed in global collaborative partnerships (alliances, joint ventures, mergers, and acquisitions). The recently emerging theory of big data analytics linked with traditional organizational powers has attracted a growing interest, but surprisingly little research has been devoted to this important and complex topic. Therefore, after developing the theoretical foundations, our study empirically quantifies the links between the theoretical constructs based on the data collected from chief executive officers, managing directors, and heads of departments who work in contemporary global data‐and‐information driven collaborative partnerships. The results from structural equation modeling indicate that the relationship innovation depends on the power of big data analytics and non‐mediated powers (NMP, expert and referent). The power of big data analytics also mediates the correlation between NMP and relationship innovation. However, mediated powers (coercive and manipulative) negatively affect the power of big data analytics and relationship innovation. The interaction effects further depict that analytically powered partnerships have better relationship innovation compared with those which focus less on the analytical power. Consequently, the contributions of this study provide a deeper understanding of mechanisms of how modern collaborative partnerships can use big data analytics and traditional organizational powers to co‐create relationship innovation.     

户籍制度扭曲及放松对经济的影响:理论与实证

户籍制度是我国劳动力流动的主要障碍.那么,当前我国的户籍扭曲程度几何?户籍制度放松对经济又会有怎样的影响?对这些问题的回答将有助于政府评估户籍制度改革的空间和经济效益.文章在Hansen和Prescott(2002)的两部门劳动力流动模型基础上,将工人分为农业和非农户口,引入户籍扭曲因子,构建两部门两类工人的户籍扭曲模型;然后,使用1984?2013年宏观经济数据度量户籍扭曲程度,并对2013年我国户籍制度逐渐放松过程中经济变量的变化进行模拟;最后,文章建立了包含"农业与非农"和"本地与外地"户籍差异的省份异质性户籍扭曲模型.研究表明:(1)经济和户籍制度改革的不同步导致了1984?2013年我国户籍扭曲程度呈现倒"U"形变化,且相较于韩国尚有较大的改善空间;(2)以韩国为参照,若2013年我国户籍制度完全放开,经济达到均衡时,农业部门和非农部门的就业人数将分别下降58.83%和上升26.92%,工资率将分别上升19.44%和下降6.77%,社会增加值将增长15.33%,这说明社会经济效率将得到提升,贫富差距将缩小.文章丰富和完善了户籍扭曲的理论模型,从减少劳动力流动摩擦的视角为政府制定相关政策提供了参考.     

EMPIRICAL PERFORMANCE OF GARCH MODELS WITH HEAVY‐TAILED INNOVATIONS

We introduce a new type of heavy‐tailed distribution, the normal reciprocal inverse Gaussian distribution (NRIG), to the GARCH and Glosten‐Jagannathan‐Runkle (1993) GARCH models, and compare its empirical performance with two other popular types of heavy‐tailed distribution, the Student's t distribution and the normal inverse Gaussian distribution (NIG), using a variety of asset return series. Our results illustrate that there is no overwhelmingly dominant distribution in fitting the data under the GARCH framework, although the NRIG distribution performs slightly better than the other two types of distribution. For market indexes series, it is important to introduce both GJR‐terms and the NRIG distribution to improve the models’ performance, but it is ambiguous for individual stock prices series. Our results also show the GJR‐GARCH NRIG model has practical advantages in quantitative risk management. Finally, the convergence of numerical solutions in maximum‐likelihood estimation of GARCH and GJR‐GARCH models with the three types of heavy‐tailed distribution is investigated.     

The practice of collective bargaining in the private sector in Quebec (Canada): the changing ‘rules of the game’

Drawing on 45 semi‐structured interviews with union negotiators active in the Quebec private sector, this article shows that local bargaining practices, despite their plurality, have tended to change following major trends. It also reveals, more fundamentally, a redefinition of the ‘rules of the game’. The transformation and stability of these social rules, which are much more focused on the needs of employers, have tended to weaken collective bargaining as a tool for industrial democracy.     

The Effect of Media Coverage on the Pricing of Seasoned Equity Offerings

This paper examines the role of media coverage and investor attention on the outcomes of seasoned equity offerings (SEOs). I use an archive of Thomson Reuters news articles to proxy for firm visibility and investor attention. I find that the volumes of news articles prior to the offerings are positively associated with the offer price discounts of SEOs. Furthermore, the volumes of news articles are negatively associated with the cumulative abnormal returns three days around the SEOs. I conclude that the costs of equity increase with media coverage prior to SEOs. Overall, the evidence is consistent with the hypothesis that media coverage affects investors' information processing in SEOs. Copyright © 2018 ASAC. Published by John Wiley & Sons, Ltd.     

Foreign direct investment subsidy in a dynamic stochastic general equilibrium model with heterogeneous firms

This study analyzes the macroeconomic impacts of subsidies to attract multinational corporations when firms are determining whether to enter or how to serve foreign markets. We show that a small FDI subsidy scheme induces consumption gains and delivers short‐term welfare improvement for the FDI host country if firms differ in productivity. However, the subsidy generates a new problem and results in the wealth reallocation effect, leading to welfare deterioration for the host country in the long run. Moreover, we find that a subsidy program induces a welfare improvement for the host country if it is offered to all domestic producers instead of foreign producers only in the host country.     

Converting volunteers to donors: Fundraising strategies for professional associations

The use of fundraising strategies in professional associations is on the rise as member donations have become an increasingly important revenue stream for the associations. This study aims to understand why member volunteers are potential donors to professional associations and to examine whether association solicitation is effective in increasing member volunteer donations. A moderated mediation model was tested with data that consisted of 3,224 professional association members. The results suggest that member satisfaction significantly mediates the relationship between member volunteering and financial giving, and solicitation only makes a difference to member volunteers who are satisfied with their membership. This study concludes that targeting satisfied member volunteers for donations could yield financial benefits to professional associations.     

Periodic strategies in optimal execution with multiplicative price impact

We study the optimal execution problem with multiplicative price impact in algorithmic trading, when an agent holds an initial position of shares of a financial asset. The interselling decision times are modeled by the arrival times of a Poisson process. The criterion to be optimized consists in maximizing the expected net present value of the gains of the agent, and it is proved that an optimal strategy has a barrier form, depending only on the number of shares left and the level of the asset price.