On the Discursive Construction of Corporate Social Responsibility in Advertising Agencies

As the interest in corporate social responsibility (CSR) within advertising industry is growing, this paper explores the discourse on CSR among employees in advertising agencies. Different sensemaking dimensions are taken into account to examine how employees, as one of the key stakeholders involved in the joint meaning construction, make sense of CSR. In addition, this paper studies the legitimation approaches that employees use to address CSR of advertising agencies. The empirical evidence of discursive examples also indicates that there is a linkage between sensemaking and legitimation perspective in CSR discourse analysis and supports the idea that both may be a potential route toward institutionalization of CSR inside organizations or sectors.     

Writing Clearly: The ECB's Monetary Policy Communication

The article presents a novel methodology for measuring the clarity of central bank communication using content analysis, illustrating the methodology with the case of the European Central Bank (ECB). The analysis identifies the ECB's written communication as clear in about 85–95% of instances, which is comparable with, or better than, similar results available for other central banks. We also find that the additional information on risk to inflation and especially projection risk assessment contained in the ECB's Monthly Bulletins helps to improve communication clarity compared to ECB's press releases. In contrast, the bulletin's communication on monetary developments has a negative, albeit small, impact on clarity.     

The Impact of the Federal Reserve's Large‐Scale Asset Purchase Programs on Corporate Credit Risk

Estimating the effect of Federal Reserve's announcements of Large‐Scale Asset Purchase (LSAP) programs on corporate credit risk is complicated by the simultaneity of policy decisions and movements in prices of risky financial assets, as well as by the fact that both interest rates of assets targeted by the programs and indicators of credit risk reacted to other common shocks during the recent financial crisis. This paper employs a heteroskedasticity‐based approach to estimate the structural coefficient measuring the sensitivity of market‐based indicators of corporate credit risk to declines in the benchmark market interest rates prompted by the LSAP announcements. The results indicate that the LSAP announcements led to a significant reduction in the cost of insuring against default risk—as measured by the CDX indexes—for both investment‐ and speculative‐grade corporate credits. While the unconventional policy measures employed by the Federal Reserve to stimulate the economy have substantially lowered the overall level of credit risk in the economy, the LSAP announcements appear to have had no measurable effect on credit risk in the financial intermediary sector.     

The Price of Political Uncertainty: Theory and Evidence from the Option Market

We empirically analyze the pricing of political uncertainty, guided by a theoretical model of government policy choice. To isolate political uncertainty, we exploit its variation around national elections and global summits. We find that political uncertainty is priced in the equity option market as predicted by theory. Options whose lives span political events tend to be more expensive. Such options provide valuable protection against the price, variance, and tail risks associated with political events. This protection is more valuable in a weaker economy and amid higher political uncertainty. The effects of political uncertainty spill over across countries.     

Estimating the Intertemporal Risk–Return Tradeoff Using the Implied Cost of Capital

We argue that the implied cost of capital (ICC), computed using earnings forecasts, is useful in capturing time variation in expected stock returns. First, we show theoretically that ICC is perfectly correlated with the conditional expected stock return under plausible conditions. Second, our simulations show that ICC is helpful in detecting an intertemporal risk–return relation, even when earnings forecasts are poor. Finally, in empirical analysis, we construct the time series of ICC for the G–7 countries. We find a positive relation between the conditional mean and variance of stock returns, at both the country level and the world market level.     

Mispricing and lasting arbitrage between parallel markets in the Czech Republic

If co-existing parallel markets are efficient, then arbitrage will maintain a correct pricing relationship. A related question is whether two parallel emerging markets offering more or less the same securities but using different institutional designs, can behave as a single, fully integrated market. In this paper an explicit model of price convergence (with transaction costs) is introduced, in which price differences are studied using levels of arbitrage activity. For the empirical analysis two parallel markets in the Czech Republic are used — the Prague Stock Exchange (PSE) and the RMS (over-the-counter system). In particular, the degree of arbitrage activity is studied for different segments of the PSE and the evolution of arbitrage in the early history of these emerging markets. The empirical results provide evidence of market linkage for actively traded stocks. A significant relationship is found between the segment of the market to which a given firm belongs and the estimated level of arbitrage trading. Moreover, the level of arbitrage activity increases over time for all market segments, and as the markets mature, the differences among the segments gradually disappear.     

Coefficients of ergodicity for Markov chains with uncertain parameters

One of the central considerations in the theory of Markov chains is their convergence to an equilibrium. Coefficients of ergodicity provide an efficient method for such an analysis. Besides giving sufficient and sometimes necessary conditions for convergence, they additionally measure its rate. In this paper we explore coefficients of ergodicity for the case of imprecise Markov chains. The latter provide a convenient way of modelling dynamical systems where parameters are not determined precisely. In such cases a tool for measuring the rate of convergence is even more important than in the case of precisely determined Markov chains, since most of the existing methods of estimating the limit distributions are iterative. We define a new coefficient of ergodicity that provides necessary and sufficient conditions for convergence of the most commonly used class of imprecise Markov chains. This so-called weak coefficient of ergodicity is defined through an endowment of the structure of a metric space to the class of imprecise probabilities. Therefore we first make a detailed analysis of the metric properties of imprecise probabilities.     

Devolution or (de)centralization of HRM function in European organizations

This article deals with the condition and changes of the HRM function in various European states. These changes have shown a shift of HRM tasks from HRM departments to managers themselves, and are according to the literature, this shift is known as devolution or decentralization. Our attention is focused on important factors in this process (from organizational ones, such as HRM strategies and policies, to more environmental ones, such as the sector or the state). Analysis shows that the country (as an institutional environment) sets the limits or encourages development towards devolution. HRM policy within the individual institutional context is of only secondary importance. Results show that country is a factor that fosters divergent tendencies and HRM policy accelerates convergence in HRM practice.     

Geosite assessments: comparison of methods and results

Geotourism as a rapidly evolving and attractive tourism form expands into many regions. This ‘new’ tourism form brings new research issues to be solved including, e.g. geosite identification, geosite assessment, geopark establishment, (geo)tourist trail definitions. One of the biggest challenges of researchers not only in the field of geotourism is to set specific value of an individual locality. The aim of this paper is to compare selected assessment methods of geosites. Different quantitative methods were selected due to fact that it is possible to compare final score of assessments. The results show that using different assessment methods on selected localities gives different results and geosite rankings. Based on this fact, further research in the field of geosite assessment is needed for (geo)tourism planning and management as discussed in this paper.