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.     

Evolution of indigenous tourism among the Lacandon of Chiapas: an application of Weaver’s model

ABSTRACT

In this paper, Weaver’s six-stage indigenous tourism model is applied to the Lacandon Maya (Hach Winik) of Chiapas, Mexico. Based on a comprehensive review of the anthropological and historical literature on this indigenous group, combined with longitudinal ethnographic and collaborative research performed with tourism entrepreneurs, the Lacandon tourism experience is assessed from the pre-European period until present. By analysing a case study of indigenous tourism in Mexico, a developing country in another geographical region and with a different colonial past, this work supplements Weavers’ perspective. The results show that the fourth and fifth stages of Weaver’s model coincide in this case study, while the sixth stage is still incomplete. Although the Lacandon case has its peculiarities and bearing in mind that several different factors should be considered in the Latin American context, the model proves to be an interesting tool for indigenous tourism analysis in developing countries.     

Domestic and Foreign Price/Marginal-cost Margins: an Application to Spanish Manufacturing Firms

The authors investigate the differences in margins of export and domestic markets for Spanish manufacturing firms in the period 1990 to 1997. They estimate jointly a multiproduct cost function, a variable factor share equation, and two price/marginal‐cost margin equations. The results indicate that the marginal cost of production sold in export markets is slightly greater than in domestic markets. At the same time, the price/marginal‐cost margins in export markets are smaller than in domestic markets. There is also strong evidence that margins are procyclical in domestic markets, but this evidence is less clear in foreign markets.     

Assessing academic department efficiency at a public university

The assessment of public universities has gained importance because of the demands from such state government bodies as the executive and the legislature. Public universities are increasingly being asked to account for how efficiently they have used diminishing state financial resources. Administrators thus have the responsibility of ensuring that the university's financial, human, and physical resources are allocated to academic departments in a manner that enhances the institution's efficiency. In this paper, data envelopment analysis (DEA) is proposed for evaluating the efficiency of academic departments at a public university. DEA provides a single measure of efficiency for each academic unit. It also identifies the causes behind the inefficiencies exhibited by poor performing units, as well as the changes that these units need to make in order to improve their efficiencies. Its usefulness as a planning tool is also discussed. Copyright © 2002 John Wiley & Sons, Ltd.     

Geometrical Interpretation of the Mean and the Constant in a Box-Jenkins Time Series Model

Certain manuals and computer programs mistakenly identify the mean with the constant in Box-Jenkins time series models. In this paper, it will be shown that (a) the mean and the constant have different values in autoregressive models, and (b) they have an algebraic and graphical relationship.     

Capacity precommitment and price competition yield the Cournot outcome

We introduce a simple model of oligopolistic competition where firms first build capacity, and then, after observing the capacity decisions, choose a reservation price at which they are willing to supply their capacities. This model describes many markets more realistically than the model of Kreps and Scheinkman [Kreps, D., Scheinkman, J., 1983. Quantity precommitment and Bertrand competition yield Cournot outcomes. Bell J. Econ. 14, 326–337]. We show that in this new model every pure strategy equilibrium yields the Cournot outcome, and that the Cournot outcome can be sustained by a pure strategy subgame perfect equilibrium.     

Innovation and Product Development Strategies in the Italian Motorcycle Industry

The motorcycle industry in Italy offers fertile ground for anyone interested in developing a better understanding of the role innovation plays in enhancing a firm's competitive position. This industry includes both domestic and Japanese firms, with companies ranging from high-volume manufacturers to specialty or niche producers. Firms trying to gain a competitive edge in this crowded field must contend with not only advances in product and process technology, but also the whims of fashion. In a survey of top-level marketing and product development managers from eight leading firms in the Italian motorcycle industry, Moreno Muffatto and Roberto Panizzolo explore the innovation models these firms employ to enhance their competitive position. Their study has the following objectives: categorizing the various competitors in terms of their product and market strategies and their product development and innovation strategies; highlighting differences between the methods of Italian and Japanese firms competing in this market; analyzing the relationships between firms, as well as the roles suppliers play in the various innovation strategies; and identifying the various organizational models employed by the firms in this industry. Different product and market strategies are identified on the basis of three variables: total production volume, the number of different products offered, and the number of different engine capacities offered. Using these variables, the companies in the study are categorized as volume producers, specialists, or niche specialists. The firms are further differentiated on the basis of the relative emphasis each places on product technology and design, product innovation, product variety, and time-based competition. In the firms studied, partnerships play a key role in new product development. Nearly every firm participates in joint projects, most often involving development of either an entire vehicle or an engine. Other partnerships involve firms in countries that offer emerging markets for the motorcycle industry. Organizational structures and strategies employed by the volume producers in this study include: the large product leader, who oversees concept definition and product planning; the project leaders group, which coordinates all phases of development, including activities assigned to external groups; the project managers matrix, a matrix organizational structure with a strong product orientation; and the business unit program manager, who oversees all projects within an independent business unit.     

HOW CAN PUBLIC SPENDING HELP YOU GROW? AN EMPIRICAL ANALYSIS FOR DEVELOPING COUNTRIES

Although many studies indicate that both the level and composition of public spending are significant for economic growth, the results in the empirical literature are mixed. This paper suggests that the country sample selection and expenditure classification are important in explaining these conflicting results. The empirical analysis shows that the link between growth and public spending, especially its core component, is strong only for countries with macroeconomic stability and fast GDP per capita growth dynamics, which are also capable of using public funds for productive purposes.     

Country Differences in Material Deprivation in Europe

This paper assesses to what extent differences in the characteristics of individuals (micro‐level perspective) and country‐specific factors (macro‐level perspective) can explain country differences with respect to material deprivation levels. Thus, our work aims to simultaneously consider the macro dimension and the predominantly individually‐oriented study field of material deprivation using multilevel techniques. We make use of the European Union Statistics on Income and Living Conditions. Our results show that country‐specific factors seem to be much more relevant than individual effects in explaining country differences in material deprivation. We estimate that the introduction of country‐specific factors reduces the proportion of total variance due to between‐country differences in deprivation by 72.7 percent, while individual‐level variables reduce this proportion by only 9.4 percent. We also show, through interaction variables, that the effect of sociodemographic characteristics can be shaped by institutional and structural factors, especially by the level of GDP.     

Sparse Partial Least Squares in Time Series for Macroeconomic Forecasting

Factor models have been applied extensively for forecasting when high‐dimensional datasets are available. In this case, the number of variables can be very large. For instance, usual dynamic factor models in central banks handle over 100 variables. However, there is a growing body of literature indicating that more variables do not necessarily lead to estimated factors with lower uncertainty or better forecasting results. This paper investigates the usefulness of partial least squares techniques that take into account the variable to be forecast when reducing the dimension of the problem from a large number of variables to a smaller number of factors. We propose different approaches of dynamic sparse partial least squares as a means of improving forecast efficiency by simultaneously taking into account the variable forecast while forming an informative subset of predictors, instead of using all the available ones to extract the factors. We use the well‐known Stock and Watson database to check the forecasting performance of our approach. The proposed dynamic sparse models show good performance in improving efficiency compared to widely used factor methods in macroeconomic forecasting. Copyright © 2014 John Wiley & Sons, Ltd.