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.     

Entry limiting agreements: First‐mover advantage,authorized generics,and pay‐for‐delay deals

During patent litigation, pay‐for‐delay (P4D) deals involve a payment from a patent holder of a branded drug to a generic drug manufacturer to delay entry and withdraw the patent challenge. In return for staying out of the market, the generic firm receives a payment, and/or an authorized licensed entry at a later date, but before the patent expiration. We examine why such deals are stable when there are multiple potential entrants. We combine the first‐mover advantage for the first generic with the ability of the branded manufacturer to launch an authorized generic (AG) to show when P4D deals are an equilibrium outcome. We further show that limiting a branded firm's ability to launch an AG before entry by a successful challenger will deter such deals. However, removing exclusivity period for the first generic challenger will not.     

Machine learning,artificial neural networks and social research

Quality & Quantity - Machine learning (ML), and particularly algorithms based on artificial neural networks (ANNs), constitute a field of research lying at the intersection of different...     

Lessons From Italy: A Good Pension System Needs an Effective Broader Social Policy Framework

Intereconomics - Italy, which is sometimes considered a laggard in terms of social and economic reforms, can boast a pension system that is, by and large, functioning sufficiently well in terms of...     

Testing for time-invariant unobserved heterogeneity in generalized linear models for panel data

Recent literature on panel data emphasizes the importance of accounting for time-varying unobservable individual effects, which may stem from either omitted individual characteristics or macro-level shocks that affect each individual unit differently. In this paper, we propose a simple specification test of the null hypothesis that the individual effects are time-invariant against the alternative that they are time-varying. Our test is an application of Hausman (1978) testing procedure and can be used for any generalized linear model for panel data that admits a sufficient statistic for the individual effect. This is a wide class of models which includes the Gaussian linear model and a variety of nonlinear models typically employed for discrete or categorical outcomes. The basic idea of the test is to compare two alternative estimators of the model parameters based on two different formulations of the conditional maximum likelihood method. Our approach does not require assumptions on the distribution of unobserved heterogeneity, nor it requires the latter to be independent of the regressors in the model. We investigate the finite sample properties of the test through a set of Monte Carlo experiments. Our results show that the test performs well, with small size distortions and good power properties. We use a health economics example based on data from the Health and Retirement Study to illustrate the proposed test.     

Analyst Report Readability

Using an extensive database of 356,463 sell‐side equity analysts' reports from 2002 to 2009, this study is one of the first to analyze the readability of analysts' reports. We first examine the determinants of variations in analyst report readability. Using several proxies for ability, we show that reports are more readable when issued by analysts with higher ability. Second, we test the relation between analysts' report readability and stock trading volume reactions. We find that trading volume reactions increase with the readability of analysts' text, consistent with theoretical models that predict that more precise information (and hence more informative signals) results in investors' initiating trades. These results support the view that the readability of analysts' reports is important to analysts and capital market participants.     

An alternative procedure for imputing missing data based on principal components analysis

This work entailed tackling the significant problem of missing data which was solved by identifying a new substitution procedure, following an empirical approach based on the analysis of the information contained in the entire set of data collected. This procedures offers a number of advantages compared to other techniques commonly mentioned in the statistical–methodological literature.     

Cross-Cultural Consumer Behavior: Use of Local Language for Market Communication—A Study in Region Friuli Venetia Giulia (Italy)

Cross-cultural consumer behavior is of market interest due to globalization of marketplaces, migration, multicultural marketplaces, and diffusion in the EU of many languages. The objective of this study is to check whether the local language used in a marketing communication could affect the consumers’ preferences for food products. The theoretical foundation is the consumer motivational approach that goes deeper into motivations interfering with the consumers’ preference order. The multivariate conjoint analysis is used to evaluate the preferences for attributes described in different languages. A number of students from the University of Udine (located in the northeastern part of Italy) have been submitted to interviews to examine their preferences for a simulated sandwich package reporting information in different languages, distributed by vendor machine. The results suggest that the consumer’s reaction to local language depends on sociodemographic profile, cultural background, language knowledge, and family education, and the local language could actually be used as a market tool for market segmentation. These results are of interest to many EU countries with bilingual communities such as Spain, Belgium, the UK, Switzerland, and most of the Italian regions where local languages are still alive.     

Organizing women for combat: The experience of the FARC in the Colombian war

The FARC, which used to be Colombia's main guerrilla force and is now in the midst of a peace process, was to a great extent a feminized group. This paper discusses why it recruited so many women, and why it recruited them as combatants. We suggest that only when the FARC adopted a highly hierarchical, self‐contained, and militaristic organizational blueprint did it get involved in the massive recruitment of women as combatants. We discuss the way in which organizational mechanisms and ideology interacted to produce such an outcome, and how this interaction marked both the organization and the trajectories of the women who joined it.