Antecedents and outcomes of digital influencer endorsement: An exploratory study

The advertising and marketing literature have established that celebrity endorsements constitute an effective way to enhance attitudes toward brands and increase purchase intents. However, there are no relevant studies on digital influencers. This study addresses the research gap by examining the effect of digital influencers' attractiveness and the effect of the congruence between a digital influencer and a brand on consumer attitudes and purchase intentions. By applying structural equation modeling to a sample of 307 followers of digital influencers, a model was tested and group analysis was performed for two categories (“entertainment & video games” and “fashion & beauty”). The results show that both brand attitudes and purchase intentions are influenced by the digital influencer's attractiveness (which includes both likeability and familiarity) and by the congruence between the digital influencer and the brand. This study makes several contributions to both theory and practice, which are highlighted in this paper.     

The colors of investors’ money: The role of institutional investors around the world

We study the role of institutional investors around the world using a comprehensive data set of equity holdings from 27 countries. We find that all institutional investors have a strong preference for the stock of large firms and firms with good governance, while foreign institutions tend to overweight firms that are cross-listed in the U.S. and members of the Morgan Stanley Capital International World Index. Firms with higher ownership by foreign and independent institutions have higher firm valuations, better operating performance, and lower capital expenditures. Our results indicate that foreign and independent institutions, with potentially fewer business ties to firms, are involved in monitoring corporations worldwide.     

The “swing of the pendulum” from public to market support for science and technology: Is the U.S. leading the way?

The structure and financing of science and technology activities are undergoing a slow, but profound, change. This change can be briefly characterized as a shift from relying and supporting public science to a stronger emphasis on “market-based” incentives for science and technology. In this paper we analyze this shift in a historical perspective, discussing both the theoretical explanations and the empirical trends of the ongoing change. While we do not claim to provide a comprehensive and exhaustive identification of the causes of this shift, we argue that it is largely driven by the perception of a shift of the U.S. policy towards market-based, rather than publicly supported, incentives for science and technology. This, in turn—given the strong economic performance of the United States over the 1990s—has influenced policies in most OECD countries, especially in Europe.We conclude by analyzing the evolution of research in U.S. higher education and find two major trends: an increasing diversity in the number of institutions of different types other than universities and a steady and continuous public funding of the leading U.S. universities. This has allowed the construction of an infrastructure now used largely by the private sector, but it also noted that the United States has not compromised public support for core areas or in those fields in which there is a clear perception that market incentives are not sufficient for meeting the strategic targets of the U.S. policy. The implication is that there is a considerable policy diversity in the U.S. practice and that all aspects of this diversity should be considered when using the United States as a reference.     

Patterns of Entry,Post-Entry Growth and Survival: A Comparison Between Domestic and Foreign Owned Firms

This study compares the patterns of entry, survival and growth of domestic and foreign owned firms. We show that the post-entry behavior of foreign owned firms is quite different from that of their domestic counterparts. Among foreign entrants, we were able to distinguish between those which proceed by creating a new firm and those that acquire an already existing business. Our evidence reveals that the choice of the mode of entry in foreign markets exerts an impact upon the performance of firms that persists long after the moment of entry. As a consequence, our work clearly indicates that there is much to be gained in the understanding ofthe process of entry in foreign markets by studying the behavior of entrants over their first years in these markets.     

Compensation Dispersion Between and Within Hierarchical Levels

This paper studies the dispersion around the expected compensation of workers before and after controlling for hierarchical positions in cross-section data samples. From data for Spanish managers, we find that this dispersion decreases with education and work experience before entering the current job and increases with job tenure. This finding contrasts with previous research that finds a positive association between compensation dispersion and education and work experience. We explain the new finding through a model of learning that separates compensation dispersion between jobs and within jobs (hierarchical positions). The model takes advantage of the information revealed when workers are promoted to their current hierarchical positions and allows for more robust tests of learning theories.     

Stochastic Models of Implied Volatility Surfaces

We propose a market–based approach to the modelling of implied volatility, in which the implied volatility surface is directly used as the state variable to describe the joint evolution of market prices of options and their underlying asset. We model the evolution of an implied volatility surface by representing it as a randomly fluctuating surface driven by a finite number of orthogonal random factors. Our approach is based on a Karhunen–Loeve decomposition of the daily variations of implied volatilities obtained from market data on SP500 and DAX options.
We illustrate how this approach extends and improves the accuracy of the well–known 'sticky moneyness' rule used by option traders for updating implied volatilities. Our approach gives a justification for the use of 'Vegas' for measuring volatility risk and provides a decomposition of volatility risk as a sum of independent contributions from empirically identifiable factors.
(J.E.L.: G130, C14, C31).     

Finding Closest Targets in Non-Oriented DEA Models: The Case of Convex and Non-Convex Technologies

This paper draws attention for the fact that traditional Data Envelopment Analysis (DEA) models do not provide the closest possible targets (or peers) to inefficient units, and presents a procedure to obtain such targets.It focuses on non-oriented efficiency measures (which assume that production units are able to control, and thus change, inputs and outputs simultaneously) both measured in relation to a Free Disposal Hull (FDH) technology and in relation to a convex technology. The approaches developed for finding close targets are applied to a sample of Portuguese bank branches.     

Looking behind the curtain—effects from modernization of European Union competition policy

The European Commission issued a proposal for reform of some aspects of Communitary competition policy. In particular, proposes a shift from ex-ante control (notification system) to an ex-post control regime of agreements (or decisions) conflicting with Article 81 (Ex-Article 85).We highlight the expected effects of this shift on the type of agreements that firms will implement. The type of agreements has been taken as exogenous in most analysis of the reform proposal. We contend that significant economic effects may result from recognizing the endogeneity of agreements.We predict that the proposed reform will result, in general, in firms implementing less restrictive agreements.     

New Evidence from Brazil on Trade Liberalization and Productivity Growth*

This article presents evidence on the positive effect of international trade on productivity growth using industrial level data preceding and following Brazil's trade liberalization in 1988–90. Our data reveal large and widespread productivity improvement across industries after barriers to trade were drastically reduced. Econometric results confirm the association between trade liberalization and productivity growth and show that the impact was indeed substantial: The observed tariff reduction in the period brought a 6% estimated increase in total factor productivity growth rate and a similar impact on labor productivity.     

欧洲单一金融市场中的最后贷款人(LLR)

本文研究在欧盟单一金融市场中有效发挥最后贷款人功能所面临的挑战.简要分析了欧盟金融业的一些特点,这些特点可能增加欧盟系统性金融风险;讨论了预防和解决金融问题的欧盟金融稳定构架的复杂性(最后贷款人的运作也包括在这个构架之中);论述了当系统性金融风波影响不止一个欧盟成员国时,如何实现最后贷款人功能.最后提出了提高现有构架效率所面临的挑战和可行的途径.