Systemic Cooperative Actions among Competitors: the Case of a Furniture Cluster in Brazil

The purpose of this article is to describe cooperation practices observed in competitors companies in a furniture cluster in Brazil. The literature refers to it as coopetition. The research method was the multiple case study. The main research technique was the semi-structured interviews with practitioners of the cluster. The study created a theoretical framework for cooperative practices in industrial clusters formed by four types of practices: logistics, marketing and sales, formation of the workforce, and innovation and technology. The study investigates these four types of cooperation in five large companies that compete in the same market, the anchor companies of the cluster. The only entirely complied type of collaboration is the formation of the workforce of the cluster. In the other practices, cooperation involving competitors is lower than reported in the literature. The main reason for this low cooperation is excessive rivalry and mutual distrust in the cluster, and competition by differentiation, which partially prevent the gain of scale provided by cooperative actions.     

Inflation and Relative Price Variability in a Low Inflation Country: Empirical Evidence for Germany

Abstract. The recent literature on the welfare cost of inflation emphasizes inflation's effect on the variability of relative prices. Expected and unexpected inflation have both been proposed to increase relative price variability (RPV) and, thereby, to distort the information content of nominal prices. This paper presents new evidence on the impact of inflation on RPV in Germany. Our results indicate that the influence of expected inflation disappears if a credible monetary policy stabilizes inflationary expectations on a low level. Yet the significant impact of unexpected inflation suggests that even low inflation rates can lead to welfare losses by raising RPV above its efficient level.     

The Halle Economic Projection Model

In this paper we develop an open economy model explaining the joint determination of output, inflation, interest rates, unemployment and the exchange rate in a multi-country framework. Our model—the Halle Economic Projection Model (HEPM)—is closely related to studies published by Carabenciov et al. (2008a,b,c). Our main contribution is that we model the Euro area countries separately. In doing so, we consider Germany, France, and Italy which represent together about 70% of Euro area GDP. The model combines core equations of the New-Keynesian standard DSGE model with empirically useful ad-hoc equations. We estimate this model using Bayesian techniques and evaluate the forecasting properties. Additionally, we provide an impulse response analysis and historical shock decomposition.     

Modality analysis: a semantic grammar for imputations of intentionality in texts

Modality analysis is a text analysis methodology that affords comparisons of how people from distinct cultural contexts differ in their accounts of why one or more of their numbers find specific activities possible, impossible, inevitable, or contingent. The technique is built around a two-part semantic grammar, the application of which involves the identification of modal clauses in texts, the classification of these clauses according to their modal forms, and the identification of rationales associated with the clauses’ modalities. We show that with sufficient training the method affords high interrater agreement. After providing a few tips on data-collection strategies, results are presented from a modality analysis of editorials sampled from the Arab newspaper, Al Riyadh, and the Hindi newspaper, Hindustan. The analysis illustrates how modal expressions can be used in locating well-known (e.g., Islamic and Hindu) cultural characteristics from among the vast quantities of discourse that societies continuously generate.     

The importance of reciprocal spillover effects for the valuation of bestseller brands: introducing and testing a contingency model

The valuation of extension rights is critical for entertainment brands such as bestseller books. Building on brand extension research, we argue that accounting for the reciprocal spillover effect (i.e., the influence of an extension product on a parent brand) is important for determining the value of extension rights. We develop a contingency model of the reciprocal spillover effect for category extensions of entertainment products that are characterized by short life cycles and satiation effects. In the discussion of moderating factors, we pay particular attention to the new concept of backward integration, which accounts for the reaction of a parent to the introduction of an extension. Using data from all 446 literature adaptations produced for the big screen and theatrically released in North American theaters between 1998 and 2006, we provide evidence that extension success and marketing support impact the sales of the parent book and for several postulated moderating effects, including those of backward integration. Through simulation analyses, we demonstrate how considering the reciprocal effect in the managerial decision-making process can help entertainment managers to avoid biased estimations of category extension rights.     

Evidence on the effects of inflation on price dispersion under indexation

Distortionary effects of inflation on relative prices are the main argument for inflation stabilization in macro models with sticky prices. Under indexation of non-optimized prices, those models imply a nonlinear and dynamic impact of inflation on the cross-sectional price dispersion (relative price or inflation variability, RPV). Using US sectoral price data, we estimate such a relationship between inflation and RPV, also taking into account the endogeneity of inflation by using two- and three-stage least-squares and GMM techniques, which turns out to be relevant. We find an effect of (expected) inflation on RPV, and our results indicate that average (??trend??) inflation is important for the RPV?Cinflation relationship. Lagged inflation matters for indexation in the CPI data, but is not important empirically in the PPI data.     

Polynomial goal programming and the implicit higher moment preferences of US institutional investors in hedge funds

Polynomial goal programming (PGP) is a flexible method that allows investor preferences for different moments of the return distribution of financial assets to be included in the portfolio optimization. The method is intuitive and particularly suitable for incorporating investor preferences in higher moments of the return distribution. However, until now, PGP has not been able to meet its full potential because it requires quantification of “real” preference parameters towards those moments. To date, the chosen preference parameters have been selected somewhat “arbitrarily”. Our goal is to calculate implied sets of preference parameters using investors’ choices of and the importance they attribute to risk and performance measures. We use three groups of institutional investors—pension funds, insurance companies, and endowments—and derive implied sets of preference parameters in the context of a hedge fund portfolio optimization. To determine “real” preferences for the higher moments of the portfolio return distribution, we first fit implied preference parameters so that the PGP optimal portfolio is identical to the desired hedge fund portfolio. With the obtained economically justified sets of preference parameters, the well-established PGP framework can be employed more efficiently to derive allocations that satisfy institutional investor expectations for hedge fund investments. Furthermore, the implied preference parameters enable fund of hedge fund managers and other investment managers to derive optimal portfolio allocations based on specific investor expectations. Moreover, the importance of individual moments, as well as their marginal rates of substitution, can be assessed.     

Investor confusion and similarly identified securities

This paper extends the analysis of Rashes (2001) to examine the co‐movement of prices for a sample of UK equity securities with similar ticker symbols and names. In contrast to Rashes (2001), we find only limited evidence of price changes that could be attributed to ticker symbol or name confusion. Our results suggest that any such confusion, if it exists at all, is most likely confined to very short time horizons and is not a systematic occurrence for similarly identified securities.